Ovarian Salvage Following Adnexal Torsion in Pediatric Patients

Ovarian Salvage Following Adnexal Torsion in Pediatric Patients | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Ovarian Salvage Following Adnexal Torsion in Pediatric Patients Andrew Mudreac, Spencer E. Kim, Rosa Hwang, Peter Mattei This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7677370/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 15 Dec, 2025 Read the published version in Pediatric Surgery International → Version 1 posted 9 You are reading this latest preprint version Abstract Purpose In 2017, the American Pediatric Surgical Association (APSA) published a systematic review that supported ovarian detorsion rather than oophorectomy for children with ovarian torsion. We evaluated our institutional ovarian salvage rate and outcomes following ovarian detorsion before and after publication of these APSA recommendations. Methods Electronic Medical Record data for patients who underwent operative intervention for adnexal torsion and between 01/01/2010 and 12/31/2023 at a single pediatric center were reviewed. Patients with antenatal torsion were excluded. Patient characteristics, operative findings, and postoperative outcomes were examined. Results A total of 238 patients were included. Mean age was 10.9 years (range 0.1–20.0). Mean time from presentation to OR was 9.5 hours (SD 8.9). Ovarian detorsion was performed in 186 patients (78.2%). Oophorectomy was performed in 52 (21.8%); of these, 33 (63.5%) demonstrated evidence of necrosis and 14 (26.9%) were associated with a tumor. There were no intraoperative complications. There were no thromboembolic events following detorsion. Pregnancy data were available for 10 patients, with 7 live births. Conclusion Ovarian salvage is the preferred treatment for torsion. Our rates of ovarian salvage have improved over the past 10 years with no negative sequelae and no missed malignancies. Organ Sparing Treatment Oophorectomy Ovarian Torsion Pediatrics Figures Figure 1 INTRODUCTION Ovarian torsion is a condition characterized by twisting of the ovary and associated structures [ 1 ]. Although most commonly affecting patients of childbearing age, ovarian torsion also affects children, with an incidence of 4.9 per 100,000 females between the ages of 1 and 20 years [ 1 , 2 ]. Ovarian torsion is a surgical emergency that can lead to ovarian ischemia and loss if untreated [ 3 ]. The primary options for surgical management of ovarian torsion include ovarian detorsion and oophorectomy [ 4 ]. Historically, oophorectomy was the more common surgical approach and, according to a study that utilized the Nationwide Inpatient Sample, was performed in 78% of cases of pediatric ovarian torsion between 1998 and 2011 [ 5 ]. Rationale for the surgical removal of the ovary included a theoretical reduction in thrombosis, inflammation, and risk of missed ovarian malignancy [ 6 ]. However, current evidence suggests that oophorectomy might be unnecessarily aggressive and could limit future fertility [ 4 , 7 ]. Ovarian detorsion, in which the detorsed ovary is left in situ (sometimes including oophoropexy) has been shown to be a safe and effective option in the management of ovarian torsion [ 4 , 6 , 8 ]. Preservation of normal ovarian function through ovarian salvage is particularly important in children and adolescents to preserve fertility [ 6 ]. With increasing evidence in favor of ovarian salvage, rates of oophorectomy have declined over the past two decades [ 7 ]. While 63% of children with ovarian torsion underwent oophorectomy in 2003, this rate decreased to 37% in 2019 [ 7 ]. In 2017, the American Pediatric Surgical Association (APSA) conducted a systematic review that recommended ovarian detorsion rather than oophorectomy as the preferred surgical treatment for ovarian torsion [ 4 ]. The primary aim of this study was to compare ovarian salvage rates and outcomes of patients treated for ovarian torsion at our institution, with specific scrutiny toward the rate of ovarian salvage before and after the APSA recommendations were published. METHODS We performed a retrospective cohort study of patients who underwent operative intervention for adnexal torsion between 01/01/2010 and 12/31/2023 at a tertiary-care pediatric center. Patients with antenatal torsion were excluded. Institutional Electronic Medical Record data were reviewed. Patient characteristics, operative findings, and postoperative outcomes are described. This study was approved by the Children’s Hospital of Philadelphia institutional review board (IRB #21-019493). Patient medical history and preoperative laboratory values were assessed at the time of admission. Intraoperative findings were collected from operative reports. Postoperative complications included cellulitis, abdominal pain, abdominal compartment syndrome, and postoperative fever. Available pregnancy outcomes were examined. Descriptive statistics are presented as means for continuous data and frequencies for categorical data. Groups were compared using χ2 or Fisher’s exact tests for categorical variables and Student’s t-tests or Mann-Whitney U tests for continuous variables, where appropriate. Analyses were performed using Stata/BE 18.0 (StataCorp, College Station, TX). An alpha level of < 0.05 was deemed statistically significant. RESULTS A total of 238 patients met inclusion criteria. Of these, 186 (78.2%) underwent ovarian detorsion only and 52 (21.8%) underwent oophorectomy. Patients who underwent oophorectomy were significantly younger on average than those who underwent ovarian detorsion (6.4 vs 12.2 years, p < 0.001) and were more likely to be prepubertal (67.3% vs 41.9%, p = 0.002). Those who ultimately underwent oophorectomy were also less likely to present with abdominal pain (57.7% vs 95.7%, p < 0.001) but were more often found to have abdominal distension (5.8% vs 0.5%, p = 0.034) than those who underwent ovarian detorsion. Other demographic and preoperative characteristics, including history of prior ovarian torsion, nausea, vomiting, and white blood cell count, were comparable between groups (p > 0.05) (Table 1). Time from presentation to OR was significantly longer for patients who underwent oophorectomy compared to ovarian detorsion (14.2 vs 8.9 hours, p = 0.005) (Table 2). Operative duration of oophorectomy was also longer than ovarian detorsion (56.6 vs 43.5 minutes, p < 0.001). Oophorectomy was more likely to be performed as an open procedure (42.3% vs 7.5%, p < 0.001). Patients who underwent oophorectomy were more likely to have intraoperative findings of a necrotic ovary (63.5% vs 3.2%, p < 0.001) or ovarian mass (26.9% vs 7.0%, p < 0.001). Of the 27 patients with a suspected ovarian mass identified intraoperatively, surgical pathology revealed 24 mature teratomas, 1 dysgerminoma, 1 lesion of unclear origin, and 1 edematous ovary without evidence of malignancy. Fourteen of these patients (58.3%) underwent oophorectomy. There were no intraoperative complications and no statistically significant differences in the rates of all other intraoperative findings. Postoperative length of stay was significantly longer in the oophorectomy group compared to those who underwent ovarian detorsion (1.9 vs 1.0 days, p < 0.001) (Table 3). There were 4 postoperative complications over the time period of this study, which included cellulitis and abdominal pain in the ovary-sparing group and abdominal compartment syndrome and postoperative infection in the oophorectomy group. There was no difference in reoperative rates or postoperative complications between groups. There were no cases of postoperative ovarian thrombosis or thromboembolism. Twenty-five patients developed recurrent ovarian torsion, of whom 23 underwent ovarian detorsion and 2 had an oophorectomy (12.4% vs 3.8%, p = 0.121). Pregnancy data was available for 10 patients (Table 4), 8 of whom underwent ovarian salvage while 2 had an oophorectomy, 5 of whom had undergone ovarian detorsion previously. Five out of the 8 ovarian salvage patients had live births (62.5%). Six patients had at least one abortion. Rates of ovarian salvage and postoperative outcomes were examined over time (Figure 1). Before publication of the APSA guidelines (2010-2017), our ovarian salvage rate was 73.1% (87/119), increasing to 83.2% (99/119) following publication (2018-2023). Differences in postoperative complication rates at follow-up were not statistically significant between these time periods (all p > 0.05). DISCUSSION The goal of this study was to explore rates of ovarian salvage and surgical outcomes following ovarian torsion in pediatric patients at our institution over a 14-year period. Overall, ovarian detorsion and salvage was performed in 78% of cases, while oophorectomy occurred in 22%. Oophorectomy was more commonly performed in younger patients, necrotic-appearing ovaries, those with ovarian masses, and those who had a longer time from presentation to the operating room. The latter finding may be attributable to longer duration of ovarian torsion and corresponding worsening degree of ischemia observed intraoperatively. Presumably, oophorectomy was performed in these cases due to concerns regarding the viability of the ovary. Rates of ovarian salvage increased from 73% prior to publication of the APSA guidelines in 2017 to 83% afterwards. Rates of surgical complications, readmissions, and missed malignancies were consistently low. As evidence supporting the safety and efficacy of ovarian salvage has grown, it has become the preferred surgical approach in ovarian torsion [ 9 – 12 ]. Even in scenarios where the ovary appeared ischemic, prior studies demonstrate that ovarian function can still sometimes recover following detorsion [ 13 – 15 ]. In our study, 16/19 patients with intraoperative signs of ischemia and 6/39 with evidence of ovarian necrosis underwent ovarian salvage. Although ovarian salvage may not be possible in all cases, ovarian ischemia alone does not necessarily exclude ovarian salvage as an option. Our data supports the effort to preserve ovaries in cases of torsion no matter how ischemic it appears. Concern about the risks of thrombosis and malignant transformation have been cited as a rationale to perform oophorectomy over detorsion in the setting of ovarian torsion [ 4 , 16 ]. However, the literature suggests that these risks have historically been overestimated [ 4 , 16 ]. Although thromboembolism following detorsion is a theoretical possibility, a definitive link between ovarian detorsion and thromboembolic events has not been established [ 4 ]. Missing an underlying ovarian malignancy is another rationale for oophorectomy [ 16 ]. Enlargement and discoloration of the ovary associated with torsion can make it more difficult to identify a neoplasm intraoperatively [ 17 ]. Nonetheless, rate of underlying malignancy in pediatric ovarian torsion patients ranges from 0.4-5% and are often clearly identifiable during surgery [ 4 ]. Concern about a theoretical malignancy without imaging or intraoperative evidence of an actual tumor being present is not a valid indication for oophorectomy [ 4 ]. In our practice, we recommend follow up ultrasound 3 months following surgery to evaluate for potential missed ovarian mass. We found no postoperative thrombotic events or missed malignancy in our cohort, reinforcing the notion that ovarian salvage should not be avoided due to concern about these complications. Recurrent ovarian torsion in children following ovarian salvage occurs at a rate between 5% and 18% more often in premenarchal patients [ 4 , 18 ]. Our recurrence rate was 12.4% in the ovarian salvage group, which falls within this range. Anatomical features that contributed to the initial torsion may predispose patients to recurrent torsion. Oophoropexy is sometimes performed following detorsion to attempt to reduce the probability of recurrence [ 18 ]. However, there are concerns that oophoropexy negatively impacts ovarian blood supply and development. There is currently no clear consensus on whether oophoropexy is overall beneficial [ 4 ]. Only 5 patients in our study underwent oophoropexy. While none of them experienced subsequent recurrence or complications, we cannot draw any definitive conclusions given the limited sample size. Large, prospective studies examining the utility and long-term implications of oophoropexy, particularly as they relate to preventing recurrence and effect on fertility, are needed. An important goal of ovarian salvage is preserving future fertility in young patients. Many cases of follicular development on the detorsed ovary and successful pregnancy following detorsion have been recorded in the literature [ 19 – 21 ]. Five of 8 patients (62.5%) who underwent ovarian salvage and had pregnancy data available had live births, which is comparable to the national rate of 67% of pregnancies in the U.S. that resulted in live births in 2020 [ 22 ]. We recognize that the single-center, retrospective design of this study limits our ability to capture visits at other institutions. Pregnancy-related outcomes are likely underreported as older patients in this cohort may receive obstetric care elsewhere. Moreover, the generalizability of our findings may be limited. This study would benefit from a longer follow-up period, which will likely increase the number of pregnancy-related outcomes detected. Future multi-center, longitudinal studies would be beneficial to address these limitations. In summary, detorsion with ovarian preservation appears to be safe and effective for children with ovarian torsion. Although recurrences sometimes occur, the risk missed malignancies and thrombosis are low and our findings suggest fertility is reasonably preserved. This study supports ovarian salvage as the generally preferred management strategy over oophorectomy in cases of ovarian torsion. Declarations Corresponding author: Peter Mattei, MD, Children’s Hospital of Philadelphia, General, Thoracic and Fetal Surgery, 3401 Civic Center Boulevard, Philadelphia, PA 19104, [email protected] Funding: This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors. Disclosures: The authors have nothing to disclose. Conflicts of interest: The authors have no conflicts of interest to report. Author Contribution A.M. and S.E.K. prepared the initial manuscript draft, performed the data analysis, and prepared tables. R.H. curated the data. P.M. supervised the project. All authors reviewed the manuscript. References Baron SL, Mathai JK (2025) Ovarian Torsion. In: StatPearls. StatPearls Publishing, Treasure Island (FL) Guthrie BD, Adler MD, Powell EC (2010) Incidence and trends of pediatric ovarian torsion hospitalizations in the United States, 2000-2006. Pediatrics 125:532–538. https://doi.org/10.1542/peds.2009-1360 Sasaki KJ, Miller CE (2014) Adnexal torsion: review of the literature. J Minim Invasive Gynecol 21:196–202. https://doi.org/10.1016/j.jmig.2013.09.010 Dasgupta R, Renaud E, Goldin AB, et al (2018) Ovarian torsion in pediatric and adolescent patients: A systematic review. J Pediatr Surg 53:1387–1391. https://doi.org/10.1016/j.jpedsurg.2017.10.053 Sola R, Wormer BA, Walters AL, et al (2015) National Trends in the Surgical Treatment of Ovarian Torsion in Children: An Analysis of 2041 Pediatric Patients Utilizing the Nationwide Inpatient Sample. Am Surg 81:844–848 Avila A, Motta M, Schechter D, et al (2024) Ovarian Salvage With Prompt Surgical Intervention for Adnexal Torsion: Does Timing Matter? Am Surg 90:1508–1513. https://doi.org/10.1177/00031348241241678 Ayemoba J, Callier K, Johnson K (2024) Rate of oophorectomy in pediatric ovarian torsion: risk factors and change over time. Pediatr Surg Int 40:160. https://doi.org/10.1007/s00383-024-05743-8 Lawrence AE, Minneci PC, Deans KJ (2020) Ovarian Masses and Torsion: New Approaches for Ovarian Salvage. Adv Pediatr 67:113–121. https://doi.org/10.1016/j.yapd.2020.03.010 Geimanaite L, Trainavicius K (2013) Ovarian torsion in children: management and outcomes. J Pediatr Surg 48:1946–1953. https://doi.org/10.1016/j.jpedsurg.2013.04.026 Anders JF, Powell EC (2005) Urgency of Evaluation and Outcome of Acute Ovarian Torsion in Pediatric Patients. Archives of Pediatrics & Adolescent Medicine 159:532–535. https://doi.org/10.1001/archpedi.159.6.532 Aziz D, Davis V, Allen L, Langer JC (2004) Ovarian torsion in children: is oophorectomy necessary? J Pediatr Surg 39:750–753. https://doi.org/10.1016/j.jpedsurg.2004.01.034 Adnexal Torsion in Adolescents: ACOG Committee Opinion No, 783. Obstet Gynecol 134:e56–e63. https://doi.org/10.1097/AOG.0000000000003373 Galinier P, Carfagna L, Delsol M, et al (2009) Ovarian torsion. Management and ovarian prognosis: a report of 45 cases. J Pediatr Surg 44:1759–1765. https://doi.org/10.1016/j.jpedsurg.2008.11.058 Santos XM, Cass DL, Dietrich JE (2015) Outcome Following Detorsion of Torsed Adnexa in Children. J Pediatr Adolesc Gynecol 28:136–138. https://doi.org/10.1016/j.jpag.2014.04.002 Tielli A, Scala A, Alison M, et al (2022) Ovarian torsion: diagnosis, surgery, and fertility preservation in the pediatric population. Eur J Pediatr 181:1405–1411. https://doi.org/10.1007/s00431-021-04352-0 Oltmann SC, Fischer A, Barber R, et al (2010) Pediatric ovarian malignancy presenting as ovarian torsion: incidence and relevance. J Pediatr Surg 45:135–139. https://doi.org/10.1016/j.jpedsurg.2009.10.021 Ashwal E, Krissi H, Hiersch L, et al (2015) Presentation, Diagnosis, and Treatment of Ovarian Torsion in Premenarchal Girls. Journal of Pediatric and Adolescent Gynecology 28:526–529. https://doi.org/10.1016/j.jpag.2015.03.010 Smorgick N, Melcer Y, Sarig-Meth T, et al (2016) High risk of recurrent torsion in premenarchal girls with torsion of normal adnexa. Fertil Steril 105:1561-1565.e3. https://doi.org/10.1016/j.fertnstert.2016.02.010 Shalev E, Bustan M, Yarom I, Peleg D (1995) Recovery of ovarian function after laparoscopic detorsion. Hum Reprod 10:2965–2966. https://doi.org/10.1093/oxfordjournals.humrep.a135830 Balasubramaniam D, Duraisamy KY, Ezhilmani M (2020) Laparoscopic Detorsion and Fertility Preservation in Twisted Ischemic Adnexa – A Single-Center Prospective Study. Gynecol Minim Invasive Ther 9:24–28. https://doi.org/10.4103/GMIT.GMIT_20_19 Parelkar SV, Mundada D, Sanghvi BV, et al (2014) Should the ovary always be conserved in torsion? A tertiary care institute experience. J Pediatr Surg 49:465–468. https://doi.org/10.1016/j.jpedsurg.2013.11.055 Chiu DW, Maddow-Zimet I, Kost K (2024) Pregnancies, Births and Abortions in the United States, 1973–2020: National and State Trends by Age. https://doi.org/10.1363/2024.300581 Tables Data presented as n (%) for categorical variables or mean (SD) for continuous variables. * denotes statistical significance (p < 0.05) Table 2. Operative characteristics of patients who underwent ovarian salvage versus oophorectomy Total 238 (100.0) Ovarian Salvage 186 (78.2) Oophorectomy 52 (21.8) P value Time to OR 9.5 (8.9) 8.9 (7.2) 14.2 (16.2) 0.005* Surgical Approach Laparoscopic Open Conversion to open 202 (84.9) 31 (13.0) 5 (2.1) 172 (92.5) 11 (5.9) 3 (1.6) 30 (57.7) 20 (38.5) 2 (3.9) <0.001* Laterality Right Left Bilateral 138 (58.0) 91 (38.2) 8 (3.4) 110 (59.1) 69 (37.1) 7 (3.8) 28 (53.8) 22 (42.3) 1 (1.9) 0.747 Operative time 46.3 (23.5) 43.5 (21.3) 56.6 (28.0) <0.001* Intraoperative findings Ischemic ovary Necrotic ovary Thrombosis Simple cyst Hemorrhagic cyst Ovarian mass 19 (8.0) 39 (16.4) 2 (0.8) 59 (24.8) 0 (0.0) 27 (11.3) 16 (8.6) 6 (3.2) 2 (1.1) 51 (27.4) 0 (0.0) 13 (7.0) 3 (5.8) 33 (63.5) 0 (0.0) 8 (15.4) 0 (0.0) 14 (26.9) 0.772 <0.001* 1.000 0.101 1.000 <0.001* Data presented as n (%) for categorical variables or mean (SD) for continuous variables. * denotes statistical significance (p < 0.05) Table 3. Postoperative outcomes following oophorectomy or ovarian salvage in cases of ovarian torsion Total 238 (100.0) Ovarian Salvage 186 (78.2) Oophorectomy 52 (21.8) P value Postoperative LOS 1.2 (1.6) 1.0 (0.8) 1.9 (2.9) <0.001* Return to OR 1 (0.4) 0 (0.0) 1 (1.9) 0.218 Postoperative complications 4 (1.7) 2 (1.1) 2 (3.8) 0.209 Follow-up available 176 (73.9) 132 (71.0) 44 (84.6) 0.051 Age at follow-up 10.4 (5.3) 11.9 (3.8) 5.9 (6.4) <0.001* Days from surgery to follow-up 28.1 (16.7) 29.2 (18.6) 24.5 (8.6) 0.107 Recurrent ovarian torsion 25 (10.5) 23 (12.4) 2 (3.8) 0.121 Data presented as n (%) for categorical variables or mean (SD) for continuous variables. * denotes statistical significance (p < 0.05). Table 4. Pregnancy outcomes following oophorectomy or ovarian salvage in cases of ovarian torsion Surgical group Gravida Parity Abortions Living Patient 1 Oophorectomy 3 3 0 3 Patient 2 Ovarian salvage 1 1 0 1 Patient 3 Ovarian salvage 1 1 0 1 Patient 4 Ovarian salvage 1 0 1 0 Patient 5 Ovarian salvage 3 1 2 1 Patient 6 Ovarian salvage 2 0 2 0 Patient 7 Ovarian salvage 4 3 1 3 Patient 8 Oophorectomy 1 1 0 1 Patient 9 Ovarian salvage 4 1 2 1 Patient 10 Ovarian salvage 2 0 1 0 Pregnancy data for 10 patients were available in this data set. Outcomes are presented. Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 15 Dec, 2025 Read the published version in Pediatric Surgery International → Version 1 posted Editorial decision: Revision requested 18 Oct, 2025 Reviews received at journal 09 Oct, 2025 Reviews received at journal 01 Oct, 2025 Reviewers agreed at journal 01 Oct, 2025 Reviewers agreed at journal 01 Oct, 2025 Reviewers invited by journal 28 Sep, 2025 Editor assigned by journal 24 Sep, 2025 Submission checks completed at journal 23 Sep, 2025 First submitted to journal 22 Sep, 2025 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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1","display":"","copyAsset":false,"role":"figure","size":71506,"visible":true,"origin":"","legend":"\u003cp\u003eRate of ovarian salvage following ovarian torsion over time\u003c/p\u003e\n\u003cp\u003eRates of ovarian salvage and postoperative outcomes were examined prior to publication of the APSA guidelines (2010-2017) and following publication (2018-2023).\u003c/p\u003e","description":"","filename":"floatimage1.jpeg","url":"https://assets-eu.researchsquare.com/files/rs-7677370/v1/35c190c8297c95a961760720.jpeg"},{"id":98815425,"identity":"64eb1051-687d-43e3-9c2c-c293c81392b7","added_by":"auto","created_at":"2025-12-22 16:14:28","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":656328,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-7677370/v1/84e8d719-d99a-4dfc-9231-1fe9cfcca250.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Ovarian Salvage Following Adnexal Torsion in Pediatric Patients","fulltext":[{"header":"INTRODUCTION","content":"\u003cp\u003eOvarian torsion is a condition characterized by twisting of the ovary and associated structures [\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e]. Although most commonly affecting patients of childbearing age, ovarian torsion also affects children, with an incidence of 4.9 per 100,000 females between the ages of 1 and 20 years [\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e, \u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e]. Ovarian torsion is a surgical emergency that can lead to ovarian ischemia and loss if untreated [\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e].\u003c/p\u003e\u003cp\u003eThe primary options for surgical management of ovarian torsion include ovarian detorsion and oophorectomy [\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e]. Historically, oophorectomy was the more common surgical approach and, according to a study that utilized the Nationwide Inpatient Sample, was performed in 78% of cases of pediatric ovarian torsion between 1998 and 2011 [\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e]. Rationale for the surgical removal of the ovary included a theoretical reduction in thrombosis, inflammation, and risk of missed ovarian malignancy [\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e]. However, current evidence suggests that oophorectomy might be unnecessarily aggressive and could limit future fertility [\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e, \u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e]. Ovarian detorsion, in which the detorsed ovary is left \u003cem\u003ein situ\u003c/em\u003e (sometimes including oophoropexy) has been shown to be a safe and effective option in the management of ovarian torsion [\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e, \u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e, \u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e]. Preservation of normal ovarian function through ovarian salvage is particularly important in children and adolescents to preserve fertility [\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e]. With increasing evidence in favor of ovarian salvage, rates of oophorectomy have declined over the past two decades [\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e]. While 63% of children with ovarian torsion underwent oophorectomy in 2003, this rate decreased to 37% in 2019 [\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e].\u003c/p\u003e\u003cp\u003eIn 2017, the American Pediatric Surgical Association (APSA) conducted a systematic review that recommended ovarian detorsion rather than oophorectomy as the preferred surgical treatment for ovarian torsion [\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e]. The primary aim of this study was to compare ovarian salvage rates and outcomes of patients treated for ovarian torsion at our institution, with specific scrutiny toward the rate of ovarian salvage before and after the APSA recommendations were published.\u003c/p\u003e"},{"header":"METHODS","content":"\u003cp\u003e We performed a retrospective cohort study of patients who underwent operative intervention for adnexal torsion between 01/01/2010 and 12/31/2023 at a tertiary-care pediatric center. Patients with antenatal torsion were excluded. Institutional Electronic Medical Record data were reviewed. Patient characteristics, operative findings, and postoperative outcomes are described. This study was approved by the Children\u0026rsquo;s Hospital of Philadelphia institutional review board (IRB #21-019493).\u003c/p\u003e\u003cp\u003ePatient medical history and preoperative laboratory values were assessed at the time of admission. Intraoperative findings were collected from operative reports. Postoperative complications included cellulitis, abdominal pain, abdominal compartment syndrome, and postoperative fever. Available pregnancy outcomes were examined.\u003c/p\u003e\u003cp\u003eDescriptive statistics are presented as means for continuous data and frequencies for categorical data. Groups were compared using χ2 or Fisher\u0026rsquo;s exact tests for categorical variables and Student\u0026rsquo;s t-tests or Mann-Whitney U tests for continuous variables, where appropriate. Analyses were performed using Stata/BE 18.0 (StataCorp, College Station, TX). An alpha level of \u0026lt;\u0026thinsp;0.05 was deemed statistically significant.\u003c/p\u003e"},{"header":"RESULTS","content":"\u003cp\u003eA total of 238 patients met inclusion criteria. Of these, 186 (78.2%) underwent ovarian detorsion only and 52 (21.8%) underwent oophorectomy. Patients who underwent oophorectomy were significantly younger on average than those who underwent ovarian detorsion (6.4 vs 12.2 years, p \u0026lt; 0.001) and were more likely to be prepubertal (67.3% vs 41.9%, p = 0.002). Those who ultimately underwent oophorectomy were also less likely to present with abdominal pain (57.7% vs 95.7%, p \u0026lt; 0.001) but were more often found to have abdominal distension (5.8% vs 0.5%, p = 0.034) than those who underwent ovarian detorsion. Other demographic and preoperative characteristics, including history of prior ovarian torsion, nausea, vomiting, and white blood cell count, were comparable between groups (p \u0026gt; 0.05) (Table 1).\u003c/p\u003e\n\u003cp\u003eTime from presentation to OR was significantly longer for patients who underwent oophorectomy compared to ovarian detorsion (14.2 vs 8.9 hours, p = 0.005) (Table 2). Operative duration of oophorectomy was also longer than ovarian detorsion (56.6 vs 43.5 minutes, p \u0026lt; 0.001). Oophorectomy was more likely to be performed as an open procedure (42.3% vs 7.5%, p \u0026lt; 0.001). Patients who underwent oophorectomy were more likely to have intraoperative findings of a necrotic ovary (63.5% vs 3.2%, p \u0026lt; 0.001) or ovarian mass (26.9% vs 7.0%, p \u0026lt; 0.001). Of the 27 patients with a suspected ovarian mass identified intraoperatively, surgical pathology revealed 24 mature teratomas, 1 dysgerminoma, 1 lesion of unclear origin, and 1 edematous ovary without evidence of malignancy. Fourteen of these patients (58.3%) underwent oophorectomy. There were no intraoperative complications and no statistically significant differences in the rates of all other intraoperative findings.\u003c/p\u003e\n\u003cp\u003ePostoperative length of stay was significantly longer in the oophorectomy group compared to those who underwent ovarian detorsion (1.9 vs 1.0 days, p \u0026lt; 0.001) (Table 3). There were 4 postoperative complications over the time period of this study, which included cellulitis and abdominal pain in the ovary-sparing group and abdominal compartment syndrome and postoperative infection in the oophorectomy group. There was no difference in reoperative rates or postoperative complications between groups. There were no cases of postoperative ovarian thrombosis or thromboembolism. Twenty-five patients developed recurrent ovarian torsion, of whom 23 underwent ovarian detorsion and 2 had an oophorectomy (12.4% vs 3.8%, p = 0.121). Pregnancy data was available for 10 patients (Table 4), 8 of whom underwent ovarian salvage while 2 had an oophorectomy, 5 of whom had undergone ovarian detorsion previously. Five out of the 8 ovarian salvage patients had live births (62.5%). Six patients had at least one abortion.\u003c/p\u003e\n\u003cp\u003eRates of ovarian salvage and postoperative outcomes were examined over time (Figure 1). Before publication of the APSA guidelines (2010-2017), our ovarian salvage rate was 73.1% (87/119), increasing to 83.2% (99/119) following publication (2018-2023). Differences in postoperative complication rates at follow-up were not statistically significant between these time periods (all p \u0026gt; 0.05).\u003c/p\u003e"},{"header":"DISCUSSION","content":"\u003cp\u003eThe goal of this study was to explore rates of ovarian salvage and surgical outcomes following ovarian torsion in pediatric patients at our institution over a 14-year period. Overall, ovarian detorsion and salvage was performed in 78% of cases, while oophorectomy occurred in 22%. Oophorectomy was more commonly performed in younger patients, necrotic-appearing ovaries, those with ovarian masses, and those who had a longer time from presentation to the operating room. The latter finding may be attributable to longer duration of ovarian torsion and corresponding worsening degree of ischemia observed intraoperatively. Presumably, oophorectomy was performed in these cases due to concerns regarding the viability of the ovary. Rates of ovarian salvage increased from 73% prior to publication of the APSA guidelines in 2017 to 83% afterwards. Rates of surgical complications, readmissions, and missed malignancies were consistently low.\u003c/p\u003e\u003cp\u003eAs evidence supporting the safety and efficacy of ovarian salvage has grown, it has become the preferred surgical approach in ovarian torsion [\u003cspan additionalcitationids=\"CR10 CR11\" citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e]. Even in scenarios where the ovary appeared ischemic, prior studies demonstrate that ovarian function can still sometimes recover following detorsion [\u003cspan additionalcitationids=\"CR14\" citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e]. In our study, 16/19 patients with intraoperative signs of ischemia and 6/39 with evidence of ovarian necrosis underwent ovarian salvage. Although ovarian salvage may not be possible in all cases, ovarian ischemia alone does not necessarily exclude ovarian salvage as an option. Our data supports the effort to preserve ovaries in cases of torsion no matter how ischemic it appears.\u003c/p\u003e\u003cp\u003eConcern about the risks of thrombosis and malignant transformation have been cited as a rationale to perform oophorectomy over detorsion in the setting of ovarian torsion [\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e, \u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e]. However, the literature suggests that these risks have historically been overestimated [\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e, \u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e]. Although thromboembolism following detorsion is a theoretical possibility, a definitive link between ovarian detorsion and thromboembolic events has not been established [\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e]. Missing an underlying ovarian malignancy is another rationale for oophorectomy [\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e]. Enlargement and discoloration of the ovary associated with torsion can make it more difficult to identify a neoplasm intraoperatively [\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e]. Nonetheless, rate of underlying malignancy in pediatric ovarian torsion patients ranges from 0.4-5% and are often clearly identifiable during surgery [\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e]. Concern about a theoretical malignancy without imaging or intraoperative evidence of an actual tumor being present is not a valid indication for oophorectomy [\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e]. In our practice, we recommend follow up ultrasound 3 months following surgery to evaluate for potential missed ovarian mass. We found no postoperative thrombotic events or missed malignancy in our cohort, reinforcing the notion that ovarian salvage should not be avoided due to concern about these complications.\u003c/p\u003e\u003cp\u003eRecurrent ovarian torsion in children following ovarian salvage occurs at a rate between 5% and 18% more often in premenarchal patients [\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e, \u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e]. Our recurrence rate was 12.4% in the ovarian salvage group, which falls within this range. Anatomical features that contributed to the initial torsion may predispose patients to recurrent torsion. Oophoropexy is sometimes performed following detorsion to attempt to reduce the probability of recurrence [\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e]. However, there are concerns that oophoropexy negatively impacts ovarian blood supply and development. There is currently no clear consensus on whether oophoropexy is overall beneficial [\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e]. Only 5 patients in our study underwent oophoropexy. While none of them experienced subsequent recurrence or complications, we cannot draw any definitive conclusions given the limited sample size. Large, prospective studies examining the utility and long-term implications of oophoropexy, particularly as they relate to preventing recurrence and effect on fertility, are needed.\u003c/p\u003e\u003cp\u003eAn important goal of ovarian salvage is preserving future fertility in young patients. Many cases of follicular development on the detorsed ovary and successful pregnancy following detorsion have been recorded in the literature [\u003cspan additionalcitationids=\"CR20\" citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e]. Five of 8 patients (62.5%) who underwent ovarian salvage and had pregnancy data available had live births, which is comparable to the national rate of 67% of pregnancies in the U.S. that resulted in live births in 2020 [\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e].\u003c/p\u003e\u003cp\u003eWe recognize that the single-center, retrospective design of this study limits our ability to capture visits at other institutions. Pregnancy-related outcomes are likely underreported as older patients in this cohort may receive obstetric care elsewhere. Moreover, the generalizability of our findings may be limited. This study would benefit from a longer follow-up period, which will likely increase the number of pregnancy-related outcomes detected. Future multi-center, longitudinal studies would be beneficial to address these limitations.\u003c/p\u003e\u003cp\u003eIn summary, detorsion with ovarian preservation appears to be safe and effective for children with ovarian torsion. Although recurrences sometimes occur, the risk missed malignancies and thrombosis are low and our findings suggest fertility is reasonably preserved. This study supports ovarian salvage as the generally preferred management strategy over oophorectomy in cases of ovarian torsion.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eCorresponding author:\u0026nbsp;\u003c/strong\u003ePeter Mattei, MD, Children’s Hospital of Philadelphia, General, Thoracic and Fetal Surgery, 3401 Civic Center Boulevard, Philadelphia, PA 19104, [email protected]\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding:\u003c/strong\u003e This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eDisclosures:\u003c/strong\u003e The authors have nothing to disclose.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConflicts of interest:\u003c/strong\u003e The authors have no conflicts of interest to report.\u003c/p\u003e\u003ch2\u003eAuthor Contribution\u003c/h2\u003e\u003cp\u003eA.M. and S.E.K. prepared the initial manuscript draft, performed the data analysis, and prepared tables. R.H. curated the data. P.M. supervised the project. All authors reviewed the manuscript.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eBaron SL, Mathai JK (2025) Ovarian Torsion. In: StatPearls. StatPearls Publishing, Treasure Island (FL)\u003c/li\u003e\n\u003cli\u003eGuthrie BD, Adler MD, Powell EC (2010) Incidence and trends of pediatric ovarian torsion hospitalizations in the United States, 2000-2006. Pediatrics 125:532\u0026ndash;538. https://doi.org/10.1542/peds.2009-1360\u003c/li\u003e\n\u003cli\u003eSasaki KJ, Miller CE (2014) Adnexal torsion: review of the literature. J Minim Invasive Gynecol 21:196\u0026ndash;202. https://doi.org/10.1016/j.jmig.2013.09.010\u003c/li\u003e\n\u003cli\u003eDasgupta R, Renaud E, Goldin AB, et al (2018) Ovarian torsion in pediatric and adolescent patients: A systematic review. J Pediatr Surg 53:1387\u0026ndash;1391. https://doi.org/10.1016/j.jpedsurg.2017.10.053\u003c/li\u003e\n\u003cli\u003eSola R, Wormer BA, Walters AL, et al (2015) National Trends in the Surgical Treatment of Ovarian Torsion in Children: An Analysis of 2041 Pediatric Patients Utilizing the Nationwide Inpatient Sample. Am Surg 81:844\u0026ndash;848\u003c/li\u003e\n\u003cli\u003eAvila A, Motta M, Schechter D, et al (2024) Ovarian Salvage With Prompt Surgical Intervention for Adnexal Torsion: Does Timing Matter? Am Surg 90:1508\u0026ndash;1513. https://doi.org/10.1177/00031348241241678\u003c/li\u003e\n\u003cli\u003eAyemoba J, Callier K, Johnson K (2024) Rate of oophorectomy in pediatric ovarian torsion: risk factors and change over time. Pediatr Surg Int 40:160. https://doi.org/10.1007/s00383-024-05743-8\u003c/li\u003e\n\u003cli\u003eLawrence AE, Minneci PC, Deans KJ (2020) Ovarian Masses and Torsion: New Approaches for Ovarian Salvage. Adv Pediatr 67:113\u0026ndash;121. https://doi.org/10.1016/j.yapd.2020.03.010\u003c/li\u003e\n\u003cli\u003eGeimanaite L, Trainavicius K (2013) Ovarian torsion in children: management and outcomes. J Pediatr Surg 48:1946\u0026ndash;1953. https://doi.org/10.1016/j.jpedsurg.2013.04.026\u003c/li\u003e\n\u003cli\u003eAnders JF, Powell EC (2005) Urgency of Evaluation and Outcome of Acute Ovarian Torsion in Pediatric Patients. Archives of Pediatrics \u0026amp; Adolescent Medicine 159:532\u0026ndash;535. https://doi.org/10.1001/archpedi.159.6.532\u003c/li\u003e\n\u003cli\u003eAziz D, Davis V, Allen L, Langer JC (2004) Ovarian torsion in children: is oophorectomy necessary? J Pediatr Surg 39:750\u0026ndash;753. https://doi.org/10.1016/j.jpedsurg.2004.01.034\u003c/li\u003e\n\u003cli\u003eAdnexal Torsion in Adolescents: ACOG Committee Opinion No, 783. Obstet Gynecol 134:e56\u0026ndash;e63. https://doi.org/10.1097/AOG.0000000000003373\u003c/li\u003e\n\u003cli\u003eGalinier P, Carfagna L, Delsol M, et al (2009) Ovarian torsion. Management and ovarian prognosis: a report of 45 cases. J Pediatr Surg 44:1759\u0026ndash;1765. https://doi.org/10.1016/j.jpedsurg.2008.11.058\u003c/li\u003e\n\u003cli\u003eSantos XM, Cass DL, Dietrich JE (2015) Outcome Following Detorsion of Torsed Adnexa in Children. J Pediatr Adolesc Gynecol 28:136\u0026ndash;138. https://doi.org/10.1016/j.jpag.2014.04.002\u003c/li\u003e\n\u003cli\u003eTielli A, Scala A, Alison M, et al (2022) Ovarian torsion: diagnosis, surgery, and fertility preservation in the pediatric population. Eur J Pediatr 181:1405\u0026ndash;1411. https://doi.org/10.1007/s00431-021-04352-0\u003c/li\u003e\n\u003cli\u003eOltmann SC, Fischer A, Barber R, et al (2010) Pediatric ovarian malignancy presenting as ovarian torsion: incidence and relevance. J Pediatr Surg 45:135\u0026ndash;139. https://doi.org/10.1016/j.jpedsurg.2009.10.021\u003c/li\u003e\n\u003cli\u003eAshwal E, Krissi H, Hiersch L, et al (2015) Presentation, Diagnosis, and Treatment of Ovarian Torsion in Premenarchal Girls. Journal of Pediatric and Adolescent Gynecology 28:526\u0026ndash;529. https://doi.org/10.1016/j.jpag.2015.03.010\u003c/li\u003e\n\u003cli\u003eSmorgick N, Melcer Y, Sarig-Meth T, et al (2016) High risk of recurrent torsion in premenarchal girls with torsion of normal adnexa. Fertil Steril 105:1561-1565.e3. https://doi.org/10.1016/j.fertnstert.2016.02.010\u003c/li\u003e\n\u003cli\u003eShalev E, Bustan M, Yarom I, Peleg D (1995) Recovery of ovarian function after laparoscopic detorsion. Hum Reprod 10:2965\u0026ndash;2966. https://doi.org/10.1093/oxfordjournals.humrep.a135830\u003c/li\u003e\n\u003cli\u003eBalasubramaniam D, Duraisamy KY, Ezhilmani M (2020) Laparoscopic Detorsion and Fertility Preservation in Twisted Ischemic Adnexa \u0026ndash; A Single-Center Prospective Study. Gynecol Minim Invasive Ther 9:24\u0026ndash;28. https://doi.org/10.4103/GMIT.GMIT_20_19\u003c/li\u003e\n\u003cli\u003eParelkar SV, Mundada D, Sanghvi BV, et al (2014) Should the ovary always be conserved in torsion? A tertiary care institute experience. J Pediatr Surg 49:465\u0026ndash;468. https://doi.org/10.1016/j.jpedsurg.2013.11.055\u003c/li\u003e\n\u003cli\u003eChiu DW, Maddow-Zimet I, Kost K (2024) Pregnancies, Births and Abortions in the United States, 1973\u0026ndash;2020: National and State Trends by Age. https://doi.org/10.1363/2024.300581\u003c/li\u003e\n\u003c/ol\u003e"},{"header":"Tables","content":"\u003cp\u003e\u003cimg 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\" width=\"746\" height=\"636\"\u003e\u003c/p\u003e\n\u003cp\u003eData presented as n (%) for categorical variables or mean (SD) for continuous variables.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e* denotes statistical significance (p \u0026lt; 0.05)\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"5\" valign=\"top\" style=\"width: 621px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTable 2.\u0026nbsp;\u003c/strong\u003eOperative characteristics of patients who underwent ovarian salvage versus oophorectomy\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 192px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTotal\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cem\u003e238 (100.0)\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 144px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eOvarian Salvage\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cem\u003e186 (78.2)\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 123px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eOophorectomy\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cem\u003e52 (21.8)\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 72px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eP value\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 192px;\"\u003e\n \u003cp\u003eTime to OR\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 90px;\"\u003e\n \u003cp\u003e9.5 (8.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 144px;\"\u003e\n \u003cp\u003e8.9 (7.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 123px;\"\u003e\n \u003cp\u003e14.2 (16.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 72px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003cstrong\u003e0.005*\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 192px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSurgical Approach\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;Laparoscopic\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;Open\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;Conversion to open\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 90px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e202 (84.9)\u003c/p\u003e\n \u003cp\u003e31 (13.0)\u003c/p\u003e\n \u003cp\u003e5 (2.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 144px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e172 (92.5)\u003c/p\u003e\n \u003cp\u003e11 (5.9)\u003c/p\u003e\n \u003cp\u003e3 (1.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e30 (57.7)\u003c/p\u003e\n \u003cp\u003e20 (38.5)\u003c/p\u003e\n \u003cp\u003e2 (3.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 72px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003cstrong\u003e\u0026lt;0.001*\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 192px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eLaterality\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;Right\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;Left\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;Bilateral\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 90px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e138 (58.0)\u003c/p\u003e\n \u003cp\u003e91 (38.2)\u003c/p\u003e\n \u003cp\u003e8 (3.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 144px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e110 (59.1)\u003c/p\u003e\n \u003cp\u003e69 (37.1)\u003c/p\u003e\n \u003cp\u003e7 (3.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e28 (53.8)\u003c/p\u003e\n \u003cp\u003e22 (42.3)\u003c/p\u003e\n \u003cp\u003e1 (1.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 72px;\"\u003e\n \u003cp\u003e\u0026nbsp;0.747\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 192px;\"\u003e\n \u003cp\u003eOperative time\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 90px;\"\u003e\n \u003cp\u003e46.3 (23.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 144px;\"\u003e\n \u003cp\u003e43.5 (21.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 123px;\"\u003e\n \u003cp\u003e56.6 (28.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 72px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u0026lt;0.001*\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 192px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eIntraoperative findings\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;Ischemic ovary\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;Necrotic ovary\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;Thrombosis\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;Simple cyst\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;Hemorrhagic cyst\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;Ovarian mass\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 90px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e19 (8.0)\u003c/p\u003e\n \u003cp\u003e39 (16.4)\u003c/p\u003e\n \u003cp\u003e2 (0.8)\u003c/p\u003e\n \u003cp\u003e59 (24.8)\u003c/p\u003e\n \u003cp\u003e0 (0.0)\u003c/p\u003e\n \u003cp\u003e27 (11.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 144px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e16 (8.6)\u003c/p\u003e\n \u003cp\u003e6 (3.2)\u003c/p\u003e\n \u003cp\u003e2 (1.1)\u003c/p\u003e\n \u003cp\u003e51 (27.4)\u003c/p\u003e\n \u003cp\u003e0 (0.0)\u003c/p\u003e\n \u003cp\u003e13 (7.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 123px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e3 (5.8)\u003c/p\u003e\n \u003cp\u003e33 (63.5)\u003c/p\u003e\n \u003cp\u003e0 (0.0)\u003c/p\u003e\n \u003cp\u003e8 (15.4)\u003c/p\u003e\n \u003cp\u003e0 (0.0)\u003c/p\u003e\n \u003cp\u003e14 (26.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 72px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e0.772\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026lt;0.001*\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e1.000\u003c/p\u003e\n \u003cp\u003e0.101\u003c/p\u003e\n \u003cp\u003e1.000\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026lt;0.001*\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eData presented as n (%) for categorical variables or mean (SD) for continuous variables.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e* denotes statistical significance (p \u0026lt; 0.05)\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"5\" valign=\"top\" style=\"width: 621px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTable 3.\u0026nbsp;\u003c/strong\u003ePostoperative outcomes following oophorectomy or ovarian salvage in cases of ovarian torsion\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 216px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTotal\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cem\u003e238 (100.0)\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 132px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eOvarian Salvage\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cem\u003e186 (78.2)\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 111px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eOophorectomy\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cem\u003e52 (21.8)\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 72px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eP value\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 216px;\"\u003e\n \u003cp\u003ePostoperative LOS\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 90px;\"\u003e\n \u003cp\u003e1.2 (1.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 132px;\"\u003e\n \u003cp\u003e1.0 (0.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 111px;\"\u003e\n \u003cp\u003e1.9 (2.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 72px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u0026lt;0.001*\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 216px;\"\u003e\n \u003cp\u003eReturn to OR\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 90px;\"\u003e\n \u003cp\u003e1 (0.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 132px;\"\u003e\n \u003cp\u003e0 (0.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 111px;\"\u003e\n \u003cp\u003e1 (1.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 72px;\"\u003e\n \u003cp\u003e0.218\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 216px;\"\u003e\n \u003cp\u003ePostoperative complications\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 90px;\"\u003e\n \u003cp\u003e4 (1.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 132px;\"\u003e\n \u003cp\u003e2 (1.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 111px;\"\u003e\n \u003cp\u003e2 (3.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 72px;\"\u003e\n \u003cp\u003e0.209\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 216px;\"\u003e\n \u003cp\u003eFollow-up available\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 90px;\"\u003e\n \u003cp\u003e176 (73.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 132px;\"\u003e\n \u003cp\u003e132 (71.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 111px;\"\u003e\n \u003cp\u003e44 (84.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 72px;\"\u003e\n \u003cp\u003e0.051\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 216px;\"\u003e\n \u003cp\u003eAge at follow-up\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 90px;\"\u003e\n \u003cp\u003e10.4 (5.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 132px;\"\u003e\n \u003cp\u003e11.9 (3.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 111px;\"\u003e\n \u003cp\u003e5.9 (6.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 72px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u0026lt;0.001*\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 216px;\"\u003e\n \u003cp\u003eDays from surgery to follow-up\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 90px;\"\u003e\n \u003cp\u003e28.1 (16.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 132px;\"\u003e\n \u003cp\u003e29.2 (18.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 111px;\"\u003e\n \u003cp\u003e24.5 (8.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 72px;\"\u003e\n \u003cp\u003e0.107\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 216px;\"\u003e\n \u003cp\u003eRecurrent ovarian torsion\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 90px;\"\u003e\n \u003cp\u003e25 (10.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 132px;\"\u003e\n \u003cp\u003e23 (12.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 111px;\"\u003e\n \u003cp\u003e2 (3.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 72px;\"\u003e\n \u003cp\u003e0.121\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eData presented as n (%) for categorical variables or mean (SD) for continuous variables.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e* denotes statistical significance (p \u0026lt; 0.05).\u003cbr\u003e\u0026nbsp;\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"6\" valign=\"top\" style=\"width: 623px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTable 4.\u0026nbsp;\u003c/strong\u003ePregnancy outcomes following oophorectomy or ovarian salvage in cases of ovarian torsion\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 130px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSurgical group\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 96px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eGravida\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 85px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eParity\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eAbortions\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eLiving\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003ePatient 1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 130px;\"\u003e\n \u003cp\u003eOophorectomy\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 96px;\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 85px;\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 104px;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 104px;\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003ePatient 2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 130px;\"\u003e\n \u003cp\u003eOvarian salvage\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 96px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 85px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 104px;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 104px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003ePatient 3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 130px;\"\u003e\n \u003cp\u003eOvarian salvage\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 96px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 85px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 104px;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 104px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003ePatient 4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 130px;\"\u003e\n \u003cp\u003eOvarian salvage\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 96px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 85px;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 104px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 104px;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003ePatient 5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 130px;\"\u003e\n \u003cp\u003eOvarian salvage\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 96px;\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 85px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 104px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 104px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003ePatient 6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 130px;\"\u003e\n \u003cp\u003eOvarian salvage\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 96px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 85px;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 104px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 104px;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003ePatient 7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 130px;\"\u003e\n \u003cp\u003eOvarian salvage\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 96px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 85px;\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 104px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 104px;\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003ePatient 8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 130px;\"\u003e\n \u003cp\u003eOophorectomy\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 96px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 85px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 104px;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 104px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003ePatient 9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 130px;\"\u003e\n \u003cp\u003eOvarian salvage\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 96px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 85px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 104px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 104px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003ePatient 10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 130px;\"\u003e\n \u003cp\u003eOvarian salvage\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 96px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 85px;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 104px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 104px;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003ePregnancy data for 10 patients were available in this data set. Outcomes are presented.\u0026nbsp;\u003c/p\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"pediatric-surgery-international","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"pesi","sideBox":"Learn more about [Pediatric Surgery International](http://link.springer.com/journal/383)","snPcode":"383","submissionUrl":"https://submission.nature.com/new-submission/383/3","title":"Pediatric Surgery International","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false},"keywords":"Organ Sparing Treatment, Oophorectomy, Ovarian Torsion, Pediatrics","lastPublishedDoi":"10.21203/rs.3.rs-7677370/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7677370/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003ch2\u003ePurpose\u003c/h2\u003e\u003cp\u003e In 2017, the American Pediatric Surgical Association (APSA) published a systematic review that supported ovarian detorsion rather than oophorectomy for children with ovarian torsion. We evaluated our institutional ovarian salvage rate and outcomes following ovarian detorsion before and after publication of these APSA recommendations.\u003c/p\u003e\u003ch2\u003eMethods\u003c/h2\u003e\u003cp\u003eElectronic Medical Record data for patients who underwent operative intervention for adnexal torsion and between 01/01/2010 and 12/31/2023 at a single pediatric center were reviewed. Patients with antenatal torsion were excluded. Patient characteristics, operative findings, and postoperative outcomes were examined.\u003c/p\u003e\u003ch2\u003eResults\u003c/h2\u003e\u003cp\u003eA total of 238 patients were included. Mean age was 10.9 years (range 0.1\u0026ndash;20.0). Mean time from presentation to OR was 9.5 hours (SD 8.9). Ovarian detorsion was performed in 186 patients (78.2%). Oophorectomy was performed in 52 (21.8%); of these, 33 (63.5%) demonstrated evidence of necrosis and 14 (26.9%) were associated with a tumor. There were no intraoperative complications. There were no thromboembolic events following detorsion. Pregnancy data were available for 10 patients, with 7 live births.\u003c/p\u003e\u003ch2\u003eConclusion\u003c/h2\u003e\u003cp\u003eOvarian salvage is the preferred treatment for torsion. Our rates of ovarian salvage have improved over the past 10 years with no negative sequelae and no missed malignancies.\u003c/p\u003e","manuscriptTitle":"Ovarian Salvage Following Adnexal Torsion in Pediatric Patients","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-10-12 13:58:49","doi":"10.21203/rs.3.rs-7677370/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Revision requested","date":"2025-10-18T19:43:07+00:00","index":"","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-10-09T17:42:18+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-10-01T18:46:32+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"251769441594477231641165180500741162910","date":"2025-10-01T04:45:00+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"324760950378806630619102109221492524710","date":"2025-10-01T04:24:08+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2025-09-28T21:08:39+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2025-09-24T18:05:43+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2025-09-23T04:21:40+00:00","index":"","fulltext":""},{"type":"submitted","content":"Pediatric Surgery International","date":"2025-09-22T10:27:48+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"pediatric-surgery-international","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"pesi","sideBox":"Learn more about [Pediatric Surgery International](http://link.springer.com/journal/383)","snPcode":"383","submissionUrl":"https://submission.nature.com/new-submission/383/3","title":"Pediatric Surgery International","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false}}],"origin":"","ownerIdentity":"ea4a2fe9-0143-4b1a-a35d-b6c0260d6a9a","owner":[],"postedDate":"October 12th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"published-in-journal","subjectAreas":[],"tags":[],"updatedAt":"2025-12-22T16:11:56+00:00","versionOfRecord":{"articleIdentity":"rs-7677370","link":"https://doi.org/10.1007/s00383-025-06272-8","journal":{"identity":"pediatric-surgery-international","isVorOnly":false,"title":"Pediatric Surgery International"},"publishedOn":"2025-12-15 15:57:21","publishedOnDateReadable":"December 15th, 2025"},"versionCreatedAt":"2025-10-12 13:58:49","video":"","vorDoi":"10.1007/s00383-025-06272-8","vorDoiUrl":"https://doi.org/10.1007/s00383-025-06272-8","workflowStages":[]},"version":"v1","identity":"rs-7677370","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-7677370","identity":"rs-7677370","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}