{"paper_id":"5e6d0199-b13c-4db0-af00-5222dbae776e","body_text":"The development of diagnostic ultrasound by Ian Donald and Tom Brown in 1958 marked a watershed moment in medical imaging, particularly for gynecologic and obstetric applications [ 1 ]. Over subsequent decades, ultrasound became the cornerstone of pelvic imaging due to its unparalleled safety profile (non-ionizing radiation), cost-effectiveness, and real-time diagnostic capabilities [ 2 ]. It remains indispensable for evaluating early pregnancy complications, characterizing ovarian pathologies, and diagnosing uterine abnormalities in patients presenting with bleeding disorders or infertility [ 2 , 3 ].\nDespite its diagnostic ubiquity, the adoption of intraoperative ultrasound (IOUS) in gynecologic surgery has progressed slower than in other surgical disciplines. Urology pioneered IOUS in the 1960s [ 3 ], and today it is integral to renal tumor resection, where it enables nephron-sparing precision [ 4 , 5 , 6 ]. Similarly, hepatobiliary and neurosurgical specialties have fully embraced IOUS as a critical intraoperative guidance tool [ 7 ]. In contrast, gynecologic oncology has been slower to incorporate this technology, despite mounting evidence of its potential to address unique surgical challenges in the female pelvis [ 8 , 9 , 10 , 11 , 12 ].\nThe management of gynecologic malignancies presents distinct complexities where millimeter-level precision determines oncologic outcomes. Complete cytoreduction, fertility preservation, and nerve-sparing techniques demand real-time anatomic intelligence that conventional preoperative imaging cannot provide [ 13 , 14 , 15 ]. Traditional reliance on preoperative MRI/CT and intraoperative palpation has been proven particularly inadequate when dealing with small (<1 cm) or deeply embedded lesions, non-palpable lymph nodes, or distorted anatomy from prior surgeries or previous radiotherapy [ 16 , 17 , 18 ]. These limitations directly impact critical outcomes: residual disease following debulking surgery, unnecessary radical procedures in early-stage disease, and iatrogenic injury to vital structures.\nIOUS emerges as a transformative solution to these challenges by providing dynamic, high-resolution visualization during the surgical decision-making process. Its applications span the full spectrum of gynecologic oncology: Localizing occult tumors in fertility-sparing surgery [ 19 , 20 , 21 ] Guiding complete resection of deep infiltrating endometriosis [ 22 ] Identifying metastatic lymph nodes missed by preoperative imaging [ 23 , 24 , 25 ] Optimizing cytoreduction in advanced ovarian cancer [ 26 , 27 , 28 ]\nLocalizing occult tumors in fertility-sparing surgery [ 19 , 20 , 21 ]\nGuiding complete resection of deep infiltrating endometriosis [ 22 ]\nIdentifying metastatic lymph nodes missed by preoperative imaging [ 23 , 24 , 25 ]\nOptimizing cytoreduction in advanced ovarian cancer [ 26 , 27 , 28 ]\nThe technology’s value is magnified in minimally invasive approaches, where the loss of tactile feedback is compensated by enhanced visual information [ 29 , 30 ]. Recent studies demonstrate that IOUS can change intraoperative decision-making in 25–40% of cases, preventing unnecessary radical procedures while ensuring complete tumor resection [ 31 , 32 , 33 ].\nThis narrative review examines the evolving role of IOUS in gynecologic oncology, synthesizing current evidence across four key domains: Fertility preservation in borderline and early-stage malignancies Precise lymph node assessment and staging Optimization of cytoreductive surgery Integration with minimally invasive platforms\nFertility preservation in borderline and early-stage malignancies\nPrecise lymph node assessment and staging\nOptimization of cytoreductive surgery\nIntegration with minimally invasive platforms\nWe analyze the technical aspects of IOUS application, present clinical outcome data, and address persistent barriers to adoption. As personalized medicine reshapes oncologic care, IOUS stands poised to become an indispensable tool for tailoring surgical strategies to individual patient anatomy and disease distribution—fulfilling the promise of true precision surgery in gynecologic oncology.\nModern high-resolution ultrasound systems have become indispensable tools for intra-abdominal applications in gynecologic oncology. Leading platforms, including the bk5000 (BK Medical), GE LOGIQ E9, Aloka ProSound F75, Samsung RS85, and Philips EPIQ 7, offer a versatile array of transducers, such as convex, laparoscopic, and linear probes, compatible with open, laparoscopic, and robotic-assisted surgical approaches. These systems deliver high-frequency imaging (up to 18 MHz in select linear probes) and incorporate advanced modalities, including Doppler imaging, elastography, contrast-enhanced ultrasound (CEUS), and fusion imaging, which enhance intraoperative lesion characterization and vascular mapping [ 5 ].\nThe bk5000 is particularly optimized for surgical settings, featuring sterilizable laparoscopic probes and smart needle-tracking technology, making it a preferred choice in robotic gynecologic and colorectal oncology. Similarly, the GE LOGIQ E9 and Philips EPIQ 7 provide deep tissue penetration and real-time navigation, critical for complex tumor resections [ 7 ].\n\nThis narrative review synthesizes evidence from clinical trials, cohort studies, and case series identified in PubMed/MEDLINE searches between 1998 and 2023. We prioritized studies reporting quantitative outcomes on IOUS accuracy, surgical decision impact, and patient survival. Data extraction focused on study design, patient characteristics, surgical techniques, and comparative outcomes versus conventional methods. Inclusion criteria encompassed English-language publications with ≥10 cases and outcome measures. Expert consensus statements and society guidelines were incorporated where available.\n\nPreoperative adhesion mapping with intraoperative ultrasound for safe surgical access\nLaparoscopic entry carries inherent risks, with vascular, visceral, and urologic injuries accounting for approximately 50% of major laparoscopic complications; the majority occurring during initial abdominal access [ 16 ]. Adhesion formation, caused by prior surgical history and incision type, further elevates this risk. Umbilical adhesions are present in up to 50% of patients following midline laparotomy and 23% following Pfannenstiel incisions [ 17 ]. In obese patients, where laparoscopy is preferred due to its association with reduced postoperative morbidity, anatomical landmark identification becomes particularly challenging. Elevated BMI (>35) correlates with increased entry attempts and difficulty in visualizing critical structures (e.g., inferior epigastric vessels), compounding the risk of iatrogenic injury [ 18 ].\nIntraoperative ultrasound (IOUS) addresses these challenges through real-time, dynamic assessment of abdominal wall architecture. The visceral slide test; a validated, non-invasive technique, demonstrates high reliability in detecting periumbilical adhesions [ 19 ] ( Figure 1 ).\nThe test can be performed using abdominal ultrasound just prior to entry to assess for any adhesions in patients of higher risk such as those with previous surgery and of increased BMI. A curve or linear ultrasound scan probe can be used to assess the bowel hyperechogenic content sliding below the abdominal wall with respiratory movement while asking the anesthetist to facilitate deep respiration. If the bowel slides freely more than 1.5 to 2 cm in relation to the abdominal wall during respiration, this is considered normal visceral sliding, suggesting no adhesions. Reduced or absent sliding (<1.5 cm) between the bowel and the abdominal wall suggests possible adhesions ( Figure 1 ).\nBorderline ovarian tumors; a paradigm shift\nBorderline ovarian tumors (BOTs) represent a unique diagnostic and therapeutic challenge in gynecologic oncology. With an incidence of 4.8 per 100,000 women, these epithelial neoplasms of low malignant potential account for 10–15% of all epithelial ovarian cancers, predominantly affecting women in their reproductive prime (30–50 years) [ 20 , 21 ]. While their indolent nature is reflected in 10-year survival rates exceeding 90%, these tumors occupy a precarious position between benign and malignant disease; a clinical grey zone where optimal management requires meticulous balancing of oncologic radicality while preserving the reproductive potential [ 22 ]. The surgical management of BOTs has traditionally been constrained by a fundamental dilemma: the conflict between radical excision and fertility preservation. Conservative, ovary-sparing approaches carry a two- to four-fold increased risk of recurrence compared to radical surgery [ 8 ], while oophorectomy represents an irrevocable compromise of reproductive potential. This tension is particularly acute in cases of recurrent disease, where lesions frequently present as small, non-palpable nodules that evade visual detection during conventional laparoscopy [ 23 ]. The characteristic sonographic features of serous BOTs—unilocular-solid cysts (79%) with irregular papillary projections (89%) [ 9 ]—often become invisible to the surgeon’s eye once embedded in ovarian parenchyma.\nModern ultrasound technology has achieved remarkable sensitivity in detecting these lesions preoperatively, with the capacity to identify tumors as small as 8–10 mm [ 8 , 9 ]. However, this diagnostic precision has historically been lost at the critical surgical moment, forcing surgeons to choose between radical excision of entire ovaries or blind cystectomy attempts that risk incomplete resection, iatrogenic rupture, or unnecessary sacrifice of healthy ovarian tissue [ 23 ]. The consequences of these limitations are particularly profound for nulliparous patients, who comprised 86% of cases in recent studies [ 10 ].\nThe advent of intraoperative ultrasound (IOUS) guidance represents a transformative solution to this clinical impasse. The technique, as pioneered by innovative surgical teams [ 10 , 24 , 25 ], integrates real-time sonographic visualization with minimally invasive surgery through a sophisticated multi-step approach: Pelvic saline infusion (500 mL) creates an acoustic window for enhanced ultrasound transmission. Transvaginal or laparoscopic probes provide multiplanar tumor localization. Laparoscopic instruments mark lesion boundaries under dual visual-sonographic guidance. Diathermy delineates precise resection margins before ultrasound-monitored excision.\nPelvic saline infusion (500 mL) creates an acoustic window for enhanced ultrasound transmission.\nTransvaginal or laparoscopic probes provide multiplanar tumor localization.\nLaparoscopic instruments mark lesion boundaries under dual visual-sonographic guidance.\nDiathermy delineates precise resection margins before ultrasound-monitored excision.\nThe approach has been validated through a number of clinical studies. In a case series of seven patients (median age 35 years) with recurrent, laparoscopically occult sBOTs (median size 18 mm), IOUS-guided resection achieved 100% complete excision with no intraoperative complications [ 10 ]. Subsequent validation studies at high-volume centers reproduced these outcomes, with particular success in nulliparous patients [ 24 , 25 ]. The case reported by Mascilini et al. [ 9 ] exemplifies the technique’s precision—a 16 mm recurrent lesion, invisible to standard laparoscopy, was completely resected with ovarian preservation, confirmed by frozen section analysis.\nBeyond technical success, IOUS addresses the fundamental philosophical challenge in BOT management: the reconciliation of oncologic and reproductive priorities. By making the invisible visible, it transforms surgical decision-making from a binary choice between radicality and conservation to a nuanced, patient-specific strategy. The technique’s ability to detect and guide resection of subvisual lesions ≤ 2 cm [ 10 ] represents a paradigm shift in our approach to fertility-sparing oncology ( Figure 2 ).\nAs fertility-sparing approaches gain prominence among reproductive-age patients with borderline ovarian tumors (BOTs), intraoperative ultrasound (IOUS) has transitioned from an adjunct tool to a critical component of surgical decision-making. By enabling real-time delineation of tumor margins and stromal involvement, IOUS facilitates ovarian conservation without compromising oncologic principles addressing both the biologic and psychosocial dimensions of care.\nCurrent evidence suggests that IOUS enhances the precision of cystectomy and stromal evaluation, potentially reducing the need for repeated interventions while maintaining low recurrence rates. Looking ahead, technological advancements such as contrast-enhanced ultrasound (CEUS) and AI-driven image analysis may further optimize detection of microscopic disease, offering a pathway toward true precision surgery in gynecologic oncology.\nIOUS in gynecological oncology lymph node assessment and staging\nNodal evaluation remains a cornerstone, yet a persistent challenge, in the surgical management of gynecologic malignancies. The current paradigm exists in tension between the oncologic necessity of precise staging and the significant morbidity linked to a systematic lymphadenectomy. This controversy manifests distinctly across disease sites: in borderline ovarian tumors (BOTs), where nodal involvement is rare (<5%) but portends potential occult invasive carcinoma necessitating therapeutic escalation [ 11 ], and in endometrial cancer, where the survival benefit of routine para-aortic lymphadenectomy for apparent early-stage disease remains contested [ 15 ].\nConventional cross-sectional imaging (CT/MRI) exhibits well-documented limitations in nodal assessment, with sensitivity to metastatic detection frequently ≤60% [ 27 , 28 , 29 ]. These modalities demonstrate dual shortcomings: inadequate resolution for micrometastases and limited specificity in distinguishing malignant infiltration from reactive hyperplasia.\nIntraoperative ultrasound (IOUS) addresses these gaps through real-time, high-resolution nodal interrogation, synergizing the advantages of dynamic surgical assessment with advanced sonographic capabilities. Its diagnostic precision derives from multiparametric analysis of: Morphology (cortical thickening, spherical index, hilar integrity) Echostructure (heterogeneity, microcalcifications) Vascular dynamics (hilar vs. peripheral perfusion patterns) Biomechanical properties (strain elastography-derived stiffness ratios)\nMorphology (cortical thickening, spherical index, hilar integrity)\nEchostructure (heterogeneity, microcalcifications)\nVascular dynamics (hilar vs. peripheral perfusion patterns)\nBiomechanical properties (strain elastography-derived stiffness ratios)\nThis integrated approach enables discriminative analysis of nodal basins, potentially refining intraoperative decision-making while mitigating the overtreatment inherent to prophylactic lymphadenectomy.\nThis diagnostic value of IOUS was powerfully demonstrated in the case reported by De Blasis et al. [ 11 ], in which IOUS identified a precaval lymph node with malignant features (irregular borders, lost hilum, microcalcifications) that was subsequently confirmed as metastatic low-grade serous carcinoma. This critical intraoperative finding prompted comprehensive para-aortic lymphadenectomy and subsequent adjuvant therapy; a decision that would have been omitted with conventional surgical inspection alone.\nThe Musashino Red Cross Hospital study [ 12 , 26 ] provided evidence for IOUS superiority over conventional MRI and CT scan staging for endometrial cancer. Their decade-long experience with 91 patients demonstrated IOUS provided higher sensitivity over CT in detecting para-aortic nodal metastases, particularly for lesions < 1 cm. The IOUS proved to be highly valuable in identifying “interval nodes”, nodes that are located between standard dissection boundaries, which might otherwise be missed. Importantly, the study highlighted IOUS’s practical advantages: rapid acquisition time (<5 min per nodal station), reasonable learning curve for trained sonographers, and significant cost savings compared to frozen section analysis.\nThe integration of IOUS with advanced surgical platforms represents the next frontier in precision staging. Our institutional experience with the bk5000 ultrasound system during robotic procedures has demonstrated its capability to identify subcentimeter metastatic nodes in anatomically distorted fields ( Figure 3 ,  Figure 4 ,  Figure 5  and  Figure 6 ). This robotic–ultrasound synergy enables: Real-time confirmation of suspicious nodes before excision Precise needle guidance for targeted biopsy Immediate assessment of resection completeness Identification of critical vascular relationships to prevent injury\nReal-time confirmation of suspicious nodes before excision\nPrecise needle guidance for targeted biopsy\nImmediate assessment of resection completeness\nIdentification of critical vascular relationships to prevent injury\nThe clinical implementation of IOUS-guided nodal assessment demonstrates measurable improvements in surgical outcomes through enhanced intraoperative decision-making. Current evidence indicates that IOUS-based nodal evaluation reduces unnecessary lymphadenectomies in 30–40% of cases [ 12 , 26 , 30 ], with corresponding decreases in procedure-related morbidity including a 62% reduction in symptomatic lymphoceles, 58% lower incidence of chylous ascites, and 30% decreased rate of postoperative lymphedema. For patients with confirmed nodal metastases, IOUS facilitates complete oncologic resection of involved nodes while preserving unaffected lymphatic basins; an approach that maintains regional immune function and may potentially optimize the response to subsequent immunotherapy regimens. This selective nodal assessment paradigm represents a significant advancement in precision surgical oncology, where the balance between radical tumor excision and functional preservation is paramount. The technology’s ability to accurately differentiate reactive from malignant nodes translates into both reduced surgical morbidity and maintained therapeutic efficacy, addressing a critical need in contemporary gynecologic oncology practice.\nThe integration of intraoperative ultrasound (IOUS) into surgical practice aligns with the paradigm shift toward personalized therapeutic algorithms in gynecologic oncology. By providing real-time, reliable nodal assessment, IOUS addresses a critical surgical imperative: the accurate stratification of patients to optimize therapeutic intervention. Current clinical evidence positions this technology as a transformative tool for intraoperative decision-making, with the potential to redefine staging protocols.\nFuture technical refinements, including the incorporation of contrast-enhanced ultrasound and artificial intelligence-driven image analysis, may further enhance the diagnostic accuracy of IOUS. Such advancements could establish this modality as a reference standard for intraoperative nodal evaluation, potentially supplanting conventional approaches that lack comparable precision or immediate feedback. The ongoing evolution of IOUS technology reflects the broader movement in surgical oncology toward data-driven, individualized treatment strategies that balance oncologic efficacy with procedural morbidity.\nIntraoperative Ultrasound in Cytoreductive Surgery: Advancing Optimal Tumor Debulking\nPeritoneal cancer deposits, also known as peritoneal carcinomatosis, represent a significant manifestation of transcoelomic spread in various malignancies. This condition is particularly common in gynecological cancers, especially ovarian cancer, where peritoneal and serosal deposits are often present at initial diagnosis [ 31 ]. Complete cytoreduction remains the cornerstone of surgical management in advanced epithelial ovarian cancer, where residual disease burden exhibits a well-characterized inverse relationship with progression-free and overall survival [ 32 ]. Mounting evidence from prospective trials and meta-analyses demonstrates that patients achieving complete gross resection (R0) experience median survival durations nearly double those with suboptimal debulking (1–2 cm residual disease), establishing maximal cytoreduction as the paramount surgical objective [ 33 , 34 ]. However, the technical challenges inherent to this endeavor are substantial, particularly when addressing metastatic deposits in anatomically complex regions such as the hepatoduodenal ligament, porta hepatis, and cardiophrenic lymph node (CPLN) basins [ 35 ].\nThe detection of peritoneal deposits relies on various imaging modalities. Ultrasound examination plays a valuable role in identifying suspicious features in ovarian masses, including peritoneal or omental deposits [ 36 , 37 ].\nMultiple imaging techniques including CT, MRI, and PET/CT scans are employed for comprehensive evaluation to differentiate ovarian cancer from gastrointestinal tumors and predict chances of cytoreductive surgery [ 38 ]. Each modality offers distinct advantages [ 39 ]. However, the sensitivity of conventional imaging modalities is significantly influenced by lesion size. For peritoneal implants ≥ 0.5 cm, MRI, CT, and PET/CT demonstrate relatively good sensitivity at 95%, 84%, and 86%, respectively. However, when including implants < 0.5 cm, the sensitivity decreases dramatically to 40%, 38%, and 42%, respectively [ 40 ].\nThis size-dependent limitation is further highlighted in studies showing that PET/CT sensitivity for peritoneal metastases drops from an overall 72% to just 11% for nodules smaller than 5 mm [ 41 ].\nIOUS addresses these limitations through real-time, high-resolution visualization of tumor deposits and their spatial relationships to critical anatomic structures. The clinical utility is particularly pivotal in three key domains of advanced cytoreduction:\nWhile the CPLN involvement is relatively uncommon, with some studies reporting an incidence of only 2.3%, their involvement is clinically significant as it typically indicates extensive disease spread [ 42 ].\nThe impact of CPLN resection on survival outcomes remains a subject of debate. While abnormally enlarged, unresected CPLNs may worsen survival in patients who have undergone complete intra-abdominal gross resection, several case series suggest that resection of enlarged paracardiac and cardiophrenic lymph nodes may prolong survival in carefully selected patients [ 43 ].\nIOUS represents a valuable technique for the identification and precise localization of CPLN during surgical procedures [ 34 ]. The transdiaphragmatic ultrasound approach has been specifically documented for CPLN visualization. This technique involves using a convex contact probe through a transhepatic window to ultrasonographically identify enlarged CPLNs and precisely determine their location. Following the initial ultrasound scan and confirmation of the lymph node position, the diaphragm can be incised proximally to the lymphadenopathies, facilitating their removal. A subsequent intraoperative ultrasound control can then verify the absence of residual disease [ 13 ].\nFor optimal identification, surgeons can utilize a preoperative ultrasound to establish landmarks that serve as guides during the procedure. Key techniques include measuring the suspected lymph node’s size, determining its distance from the skin margin, and analyzing its shape, margins, and relationships with nearby anatomical structures. When these ultrasound parameters are confirmed intraoperatively, node identification becomes more efficient and effective [ 44 ].\nThe complex anatomy of the hepatic hilum presents unique challenges for oncologic resection, where intraoperative ultrasound (IOUS) demonstrates significant utility in surgical planning and execution. Our institutional experience, unpublished data, with 47 consecutive upper abdominal cytoreductions, revealed that IOUS provides superior visualization of tumor–vascular relationships compared to conventional modalities, enabling the detection of subclinical hepatic metastases (mean diameter: 6.5 ± 2.1 mm) and precise delineation of tumor involvement within portal triad structures. Importantly, IOUS allows for real-time verification of resection margins, enhancing surgical precision. These capabilities led to intraoperative strategy modifications in 38% of cases, primarily through the identification of radiographically occult lesions. The frequent detection of subcentimeter metastases ( Figure 7 ) suggests that current preoperative imaging may underestimate the extent of the disease in this anatomically complex region. These findings highlight the need for further investigation to quantify the survival impact of IOUS-detected occult lesions, standardize imaging protocols for hepatic hilar assessment, and evaluate cost-effectiveness relative to alternative staging approaches.\nHigh-frequency transducers (7–15 MHz) enable differentiation between malignant implants and benign adhesions along peritoneal surfaces, particularly in the paracolic gutters and pelvic sidewalls [ 42 ]. This capability proves invaluable in recurrent disease settings, where fibrotic changes obscure conventional visual-tactile assessment. A recent prospective study [ 43 ] reported that IOUS-guided peritoneal resection reduced unnecessary radical procedures by 29% while increasing complete resection rates from 68% to 87% compared to conventional techniques.\nIOUS significantly influences surgical decision-making by offering real-time and detailed anatomical insights that improve surgical precision especially when high-frequency transducers are utilized. In complex cancer surgery, IOUS has been shown to detect the exact extent of retroperitoneal and parenchymal hepatic tumor deposits and redefine the resection planes during operations, accommodating both oncological effectiveness and the preservation of vital liver parenchyma [ 45 ]. This approach allows for “radical but conservative surgery”, which is particularly beneficial in managing hepatocellular carcinoma and peritoneal cancers such as ovarian and colorectal with liver metastases, altering surgical strategies in approximately 30–35% of cases [ 46 ]. Furthermore, the ability of IOUS to identify and preserve crucial vascular structures also limits the need for major resections, ultimately minimizing post-surgery morbidity [ 47 ]. Additionally, IOUS assists in adapting the surgical plan intraoperatively by revealing residual tumors that may have gone undetected, thereby reducing the necessity for unwarranted aggressive surgical approaches [ 48 ].\nIOUS precision could be further enhanced by integrating IOUS with additional imaging techniques. Notably, when IOUS is coupled with indocyanine green fluorescence imaging (ICG-FI), the combination has been shown to provide superior results. A study demonstrated that this merged approach could detect 29 lesions compared to just 15 lesions identified by IOUS alone. Moreover, the number of lesions detected using the combination was much higher than the nine lesions identified by preoperative CT scans alone [ 49 ].\nFigure 8  summarizes the different indications of IOUS in the literature.\n\nWhile intraoperative ultrasound (IOUS) has emerged as a potentially transformative technology in gynecologic oncology surgery, its widespread clinical implementation faces several significant barriers that merit thorough examination. These limitations span technical, operational, educational, and economic domains, each presenting unique challenges that must be addressed to realize the full potential of this imaging modality.\nThe effectiveness of IOUS is fundamentally constrained by its operator-dependent nature, requiring a combination of technical expertise in both ultrasound physics and complex surgical anatomy [ 12 ].\nThe number of cases required to achieve competency in intraoperative ultrasound (IOUS) varies significantly depending on the specific application, prior ultrasound experience, and surgical expertise to understand the context. While in some cases competency in basic scanning can be achieved with as little as 5–10, complex scanning may require as many as 200 cases [ 50 , 51 ]. The learning curve is particularly steep for: Recognition of subtle sonographic features differentiating malignant from benign lesions Accurate correlation of two-dimensional ultrasound images with three-dimensional surgical anatomy Real-time integration of imaging findings into surgical decision-making\nRecognition of subtle sonographic features differentiating malignant from benign lesions\nAccurate correlation of two-dimensional ultrasound images with three-dimensional surgical anatomy\nReal-time integration of imaging findings into surgical decision-making\nEven among experienced operators, significant interobserver variability persists in the interpretation of borderline findings, particularly for lesions < 1 cm or those with ambiguous vascular patterns [ 12 ]. This variability may lead to inconsistent surgical management decisions across institutions and individual practitioners.\nThe physics of ultrasound propagation impose inherent constraints on IOUS applications in gynecologic oncology. High-frequency transducers (7–15 MHz), while providing excellent spatial resolution for superficial structures, demonstrate markedly reduced penetration in patients with: Elevated body mass indices (BMI > 35) Extensive retroperitoneal disease Dense post-radiation fibrosis\nElevated body mass indices (BMI > 35)\nExtensive retroperitoneal disease\nDense post-radiation fibrosis\nThe presence of surgical adhesions or excessive intra-abdominal fat can create significant acoustic shadowing and beam attenuation artifacts, potentially obscuring critical anatomical relationships [ 46 ]. The pathological changes associated with scarring—including fibrosis, fibrin deposition, and the proliferation of fibroblasts—create uneven tissue density that manifests as variations in brightness and gray values on ultrasound images [ 52 , 53 ]. This hyperechogenicity can obscure important anatomical structures and make it difficult to differentiate between healthy and pathological tissues.\nMoreover, the technology remains limited in its ability to detect micro metastases (<2 mm) or characterize certain histologic subtypes (particularly desmoplastic or fibrotic nodal involvement), with false-negative rates approaching 12% in validation studies [ 30 , 34 ].\nUnlike established imaging modalities such as MRI or CT, which benefit from well-defined consensus guidelines, IOUS currently lacks universally accepted standards for: Image acquisition parameters (frequency selection, depth adjustment, gain optimization) Interpretation criteria for malignancy probability assessment Procedural protocols for specific surgical scenarios (fertility-sparing resections, sentinel node mapping, etc.) [ 12 ].\nImage acquisition parameters (frequency selection, depth adjustment, gain optimization)\nInterpretation criteria for malignancy probability assessment\nProcedural protocols for specific surgical scenarios (fertility-sparing resections, sentinel node mapping, etc.) [ 12 ].\nThis protocol heterogeneity creates significant disparities in clinical practice patterns between institutions. For example, while some comprehensive cancer centers employ rigorous multiparametric scoring systems for nodal assessment (incorporating size thresholds, cortical thickness measurements, and vascular patterning analysis), many institutions still rely on subjective morphological evaluation alone [ 12 , 26 ]. Such variability not only hampers multicenter research efforts but also complicates comparative effectiveness analyses.\nThe financial implications of IOUS adoption present substantial obstacles, particularly for resource-constrained settings. The capital costs associated with high-end laparoscopic ultrasound systems typically exceed those of conventional laparoscopic equipment. Additional economic considerations include: Significant maintenance costs of delicate transducers Specialized sterilization requirements Potential need for dedicated imaging personnel Opportunity costs associated with prolonged operative times during the learning curve phase\nSignificant maintenance costs of delicate transducers\nSpecialized sterilization requirements\nPotential need for dedicated imaging personnel\nOpportunity costs associated with prolonged operative times during the learning curve phase\nIn low-resource settings, these financial burdens may prove prohibitive, potentially exacerbating existing disparities in global cancer care delivery [ 49 ]. Even in well-resourced institutions, the cost-benefit calculus remains complex without robust prospective data demonstrating clear improvements in long-term oncologic outcomes.\nAddressing these challenges will require a coordinated, multidisciplinary approach encompassing: Development of structured training curricula incorporating virtual reality simulation and competency-based progression Establishment of evidence-based consensus guidelines through professional society collaborations Technological innovations in probe design (including 3D matrix arrays and elastography capabilities) Health economic analyses to quantify the long-term value proposition [ 4 , 12 , 44 ]\nDevelopment of structured training curricula incorporating virtual reality simulation and competency-based progression\nEstablishment of evidence-based consensus guidelines through professional society collaborations\nTechnological innovations in probe design (including 3D matrix arrays and elastography capabilities)\nHealth economic analyses to quantify the long-term value proposition [ 4 , 12 , 44 ]\nWhile the diagnostic and therapeutic potential of IOUS in gynecologic oncology is undeniable, its successful integration into routine practice demands clear-eyed recognition of these limitations. The path forward requires balanced investment in technological refinement, education standardization, and outcomes research to transform IOUS from a promising innovation into a reliably effective component of precision cancer surgery. Only through such comprehensive efforts can this technology achieve its potential to improve surgical outcomes while maintaining cost-effectiveness across diverse healthcare settings.\n\nThe evolution of intraoperative ultrasound (IOUS) in gynecologic oncology stands at a critical juncture, where technological innovation, educational reform, and protocol standardization must converge to realize its full potential. As we look ahead, several key priorities emerge that will shape the next decade of progress in this transformative surgical adjunct.\nThe current heterogeneity in IOUS application represents one of the most pressing challenges to its widespread adoption. The development of evidence-based, procedure-specific guidelines—endorsed by major gynecologic oncology societies—will be essential to establish uniformity in: Malignancy risk stratification of indeterminate lesions Criteria for fertility-sparing resection margins Standardized reporting terminology for intraoperative findings Integration with sentinel lymph node algorithms\nMalignancy risk stratification of indeterminate lesions\nCriteria for fertility-sparing resection margins\nStandardized reporting terminology for intraoperative findings\nIntegration with sentinel lymph node algorithms\nSuch standardization will not only improve reproducibility across institutions but also facilitate meaningful multicenter research collaborations. The creation of an international IOUS registry could accelerate this process, pooling data from high-volume centers to identify best practices and establish predictive models for clinical decision-making.\nNext-generation ultrasound technologies promise to overcome many current limitations. Three-dimensional ultrasound reconstruction is poised to revolutionize spatial understanding of tumor geometry, particularly for complex ovarian masses. Contrast-enhanced ultrasound (CEUS), with its ability to characterize microvascular patterns in real time, may provide intraoperative “virtual histology” to guide resection boundaries. Most transformative may be the integration of artificial intelligence, where deep learning algorithms trained on vast ultrasound datasets could provide: Automated lesion detection with quantified probability scores Real-time differentiation between benign and malignant features Predictive analytics for occult metastasis risk\nAutomated lesion detection with quantified probability scores\nReal-time differentiation between benign and malignant features\nPredictive analytics for occult metastasis risk\nThe miniaturization of high-frequency probes for robotic platforms and the development of “smart” laparoscopic instruments with embedded ultrasound capabilities will further enhance surgical precision in minimally invasive approaches.\nBridging the expertise gap requires a fundamental restructuring of surgical training paradigms. Simulation-based mastery learning programs—incorporating virtual reality platforms with haptic feedback—should become a prerequisite before live-patient application. High-fidelity models that replicate both normal anatomy and pathologic findings (e.g., deep infiltrating endometriosis, ovarian tumor pseudocapsules) will be crucial for skill acquisition.\nThe establishment of centralized “centers of excellence” for IOUS training, coupled with telemedicine platforms allowing real-time proctoring, could democratize access to expertise. Incorporating ultrasound certification into gynecologic oncology fellowship requirements would ensure competency across the specialty.\nWidespread adoption will depend on demonstrating not just clinical efficacy but also healthcare value. Prospective cost-effectiveness analyses must quantify how IOUS reduces operative time, decreases unnecessary lymphadenectomies, and minimizes reoperation rates. Device manufacturers must address the current economic barriers through innovative financing models that make advanced probes accessible across resource settings.\nThe rapid evolution of telemedicine presents transformative opportunities for enhancing IOUS utilization in gynecologic oncology. Emerging platforms enabling real-time virtual consultation could allow expert sonographers to guide IOUS interpretation remotely during complex procedures, effectively democratizing access to specialized expertise. This “tele-IOUS” model would be particularly valuable for: (1) community hospitals lacking on-site ultrasound specialists, (2) training programs requiring real-time proctoring, and (3) international collaborative surgeries where second-opinion consultation is needed.\nTechnological infrastructure for such integration already exists through secure, HIPAA-compliant platforms capable of streaming high-definition ultrasound images with sub-second latency. Future developments may incorporate augmented reality overlays to highlight suspicious areas directly in the surgeon’s visual field, coupled with artificial intelligence algorithms that provide predictive analytics during the consultation. However, implementation will require addressing regulatory considerations (licensing across jurisdictions), establishing quality control standards for remote interpretation, and developing reimbursement models for virtual intraoperative consultations. The convergence of 5G networks, cloud-based image processing, and miniaturized ultrasound hardware suggests that tele-IOUS could become a routine component of precision surgery within the next decade.\n\nIOUS is emerging as a pivotal innovative tool in gynecologic oncology, with the potential to establish new standards for surgical precision. By providing real-time, patient-specific anatomic data, this technology overcomes critical limitations inherent in both preoperative imaging modalities and conventional intraoperative visualization techniques. While implementation challenges remain, including the need for standardized protocols, specialized training, and equitable technology access, the accumulating evidence strongly supports IOUS’s transition from an optional tool to an essential component of contemporary oncologic surgery.\nCurrent prospective trials and technological advancements suggest that IOUS-guided resection may soon become a quality benchmark in gynecologic cancer surgery. This evolution represents more than a technical advancement; it heralds a fundamental shift from macroscopic surgical approaches to an era of microscopic precision. In this new paradigm, real-time imaging informs each surgical decision, resection margins are objectively optimized, and operative strategies are continuously refined through the integration of advanced technology with surgical expertise.\nThe clinical implications of this transformation are profound. As the field progresses, we anticipate demonstrable improvements in both oncologic outcomes and quality of life for patients. By enabling more accurate staging, more complete tumor resection, and reduced surgical morbidity, IOUS exemplifies the potential of technology-enhanced precision surgery to advance the standard of care in gynecologic oncology.","source_license":"CC0","license_restricted":false}