Photographic assessment of urostomy characteristics after ileal conduit diversion: a feasibility study

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Posthumus, M.W. van de Kamp, L. Fransen, B.W.G. van Rhijn, and 6 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-9179703/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 8 You are reading this latest preprint version Abstract Purpose A well-functioning urostomy is essential for quality of life after radical cystectomy with ileal conduit diversion. However, objective external characteristics of a well-functioning urostomy remain poorly defined. This feasibility study investigated whether postoperative photographs can be standardized and used to assess relevant urostomy characteristics. Methods This single-centre study included 49 patients who underwent radical cystectomy with ileal conduit between June 2022 and December 2022. Immediate postoperative photographs were analysed. Urostomy characteristics, i.e. location, morphology, colour and height were evaluated by two experts using predefined criteria. Photographic standardization was reviewed by a medical photographer. Results Of 49 patients, a total of 89 photographs were available; 49 overview (55%), 31 close-up (35%), and 42 side-view (47%). Urostomy location, colour, and morphology were assessable in 82-88% of cases. Mesentery location was assessable in only 48% and lacked reproducibility. Height and size could not be measured due to absence of a scale. Inter-observer agreement between the two experts and the wound, ostomy and continence nurse (WOC nurse) was 100% on whether a characteristic could be assessed in a photograph, with no discrepancies in scoring. The medical photographer identified substantial variability in lighting, angle, and composition and provided recommendations for standardization. Conclusion Photographic documentation of urostomies is feasible and allows for reliable assessment of several characteristics. Standardization is essential for reproducibility. Future studies should correlate standardized photographic characteristics with functional outcomes to define determinants of a well-functioning urostomy. Urostomy photographic characteristics radical cystectomy ileal conduit Figures Figure 1 Figure 2 Background and objective Radical cystectomy with urinary diversion has been the standard treatment for patients with muscle-invasive and very-high risk non-muscle invasive bladder cancer (BC)[1]. An ileal conduit is the most common incontinent urinary diversion. Despite widespread use, more than half of patients experience urostomy-related complications, with considerable impact on quality of life [2-6]. Strategies to optimize urostomy outcomes have primarily focused on preoperative stoma size marking. Several reports, supported by guidelines and expert consensus, recommend to mark the stoma within the ‘urostomy triangle’ [7-11] (Figure 1a) while avoiding skin folds [12,13]. Placement through the rectus abdominis muscle further reduces the risk herniation and enhances adherence of the appliance [14,15]. Although high-level of evidence is lacking, beyond placement, additional visible characteristics, such as colour, height, size and morphology, are hypothesized to influence urostomy function. Vitality can be assessed by mucosal colour and moisture [16-18]. Suboptimal height (<2 cm) is associated with leakage and skin problems [7,19], whereas excessive height may cause discomfort, particularly in women [20,21]. Morphological subtypes (pipe, ramp, inverse ramp; Figure 1b) have been described, though their clinical impact remains unclear. Furthermore, mesenteric location may theoretically influence leakage risk, yet this has not been systematically studied. Predictive factors for a good functioning stoma remain unclear, description of surgical techniques are relatively dated and development in this field appear to have stagnated over the past decade [22]. Standardized documentation is a prerequisite for comparative studies. This study therefore aimed to evaluate the feasibility of postoperative photographic documentation of urostomies as a method to assess relevant urostomy characteristics. Methods Study design and population This single-center feasibility study included all patients undergoing radical cystectomy with ileal conduit urinary diversion at the Netherlands Cancer Institute between June 2022 and December 2022. Surgical approaches included robot-assisted cystectomy, open cystectomy, total pelvic exenteration, and conversion from neobladder to ileal conduit. Patients without available photographs were excluded. All patients provided consent for the use of medical data for research. The Institutional Review Board (IRB) approved the study (IRBd23-096). Photography and Data collection Immediate postoperative photographs of urostomies were taken in the operating room at the discretion of the surgeon, without specifications or instructions. Urostomies were constructed according to institutional practice, and preoperative site marking was performed by specialized Wound, Ostomy and Continence nurses (WOC nurses). Photographs were stored in the electronic patient records with capture date as identifier. Patient demographics and clinical data were retrieved from medical records. Urostomy characteristics The primary outcome was feasibility of standardized photographic assessment of urostomy characteristics. Predefined characteristics (Table 1) were selected based on literature, guidelines, and expert consensus. Each photograph was independently reviewed by the researcher and an expert WOC nurse for visibility and assessability of each characteristic. Assessable characteristics were subsequently scored using predefined parameters. Data were entered into an anonymized CASTOR EDC database. Predefined urostomy characteristics for photographic assessment Location within urostomy triangle (umbilicus–pubis–ASIS landmarks)[12-13] Presence within skin fold (yes/no)[12-13] Mesenteric location (assessability, cranial vs caudal quadrant) Height and size (distance in cm above skin, measurable only with scale, diameter of the urostomy) 7,19,20,21 Colour (assessability, red, dark red/purple, black)[16-18] Morphology (pipe, ramp, inverse ramp) figure 1b Peristomal skin (scored using SACS [21]) [7] Standardization of urostomy photography A medical photographer was consulted to define an optimal standardized approach for urostomy photography. An expert guidance on standardization was provided. The medical photographer reviewed all images and provided recommendations on composition and lighting, angle, composition, and use of measurement scales for future photograph acquisition. Results Patient characteristics Of 61 eligible patients, 49 had postoperative photographs available and were included (Table 2). The reason for the missing photographs is unknown. Mean age was 64.6 years, and 37% were female. Most underwent robot-assisted cystectomy (76%). Table 2 . Baseline patient characteristics Characteristics, n=49 n (%) Female Age mean (SD), years BMI mean (SD), kg/M 2 18 (37) 64.6 (10) 25.1 (4) Comorbidity Smoker Former smoker Diabetes Mellitus COPD Heart failure Peripheral arterial disease ASA score 1 ASA score 2 ASA score 3 8 (16) 23 (47) 6 (12) 3 (6) 1 (2) 1 (2) 4 (8) 34 (69) 11 (22) Type of surgery Robot-assisted cystectomy Open cystectomy Total exenteration Neo-bladder converted to ‘ileal conduit’ urinary diversion 37 (76) 8 (16) 3 (6) 1 (2) *Neo-bladder converted to ‘ileal conduit’ urinary diversion. Abbreviations: SD, standard deviation; BMI, body mass index; COPD, Chronic Obstructive Pulmonary Disease; ASA, American Society of Anesthesiologists Physical Status, n = number of patients. Objective assessment of urostomy characteristics Among 49 patients, a total of 89 photographs were available; 49 overview (55%) (Figure 4A), 31 close-up (35%) (Figure 4B), and 42 side-view (47%) (Figure 4C.). Assessability of characteristics Assessment of urostomy characteristics varied across the available photographs (Table 3). The anatomical location of the urostomy within the predefined triangle was assessable in 56% of overview photographs. Skin fold assessment was possible in 22 cases, with no urostomies located within a fold. Mesentery location could be evaluated in 48% of cases; among these, 75% were cranially located, although reproducibility of this assessment was limited. Eighty-eight percent of urostomies appeared red and moist, 12% dark red to purple, and none black. Morphology was assessable in 82% of cases and classified as pipe (48%), ramp (37%), or inverse ramp (15%). Height and size could not be measured, as no measurement scale was present in any of the images. Inter-observer agreement between the investigator and the WOC nurse was 100%, with complete concordance across all assessable characteristics. Table 3. Urostomy characteristics in photographs and how these were assessed. Standardizing urostomy photography The review by a medical photographer demonstrated substantial variability in zoom, camera angle, and lighting across the photographs. In addition, none of the images contained a measurement scale, which prevented reliable quantification of urostomy dimensions. Based on this evaluation, the medical photographer recommended the following measures to improve reproducibility: (1) acquisition of three standardized views (overview, close-up, side view), (2) use of consistent lighting to avoid shadows, backlighting, and mixed light sources, (3) application of uniform camera settings, including standardized white balance, (4) inclusion of a (digital) ruler or scale within each image to allow objective measurement and (5) intraoperative reporting of mesentery location. Discussion This feasibility study demonstrates that postoperative photographs can be used to assess several urostomy characteristics, including location, colour, and morphology. Inter-observer agreement was excellent, supporting reproducibility. However, mesentery location was inconsistently assessable, and qualitative measures such as height and diameter were not possible due to the absence of a ruler. The most consistently assessable characteristic was urostomy location. Preoperative site marking has been associated with improved patient satisfaction and reduced complication rates [7-11]. In this study, preoperative stoma site marking was performed by a WOC nurse in all patients. According to the operative records, none of the surgeons changed the stoma site intraoperatively from the location preoperatively marked by the WOC nurse. Despite variability in photographic quality, it was always possible to determine whether the urostomy was positioned within the predefined anatomical triangle [13]. This finding suggests that location can be reliably captured in photographs, provided key anatomical landmarks are included. While all sites in our cohort corresponded the preoperative marking, placement outside the triangle may be necessary in selected cases, and the functional significance of the ‘triangle rule’ warrants further evaluation. Assessment of skin folds was feasible, though limited by the supine positioning of patients at the time of photography. Upright images may reveal folds not visible in the operating room and could better reflect real-life conditions of stoma care. Similarly, colour was usually clear, and a red, moist mucosa is considered a proxy for adequate vascular supply [16-18]. This suggests that photographs may provide an objective method to document urostomy vitality Morphology was also reliably assessed. Although the clinical impact of different morphology subtypes remains uncertain, the inverse ramp has been suggested to predispose to leakage by directing urine toward the peristomal skin. Our finding that morphology was classifiable in more than 80% of cases underscores the potential of photographs to capture this characteristic systematically, enabling correlation with clinical outcomes. In contrast, mesentery location proved difficult to evaluate and lacked reproducibility, even when potentially visible. This underlines the limitation of photographic documentation for this characteristic and suggests that intraoperative reporting may be a more reliable method. An important observation was the variability in photographic technique. The medical photographer’s review highlighted substantial differences in zoom, angle, and lighting, as well as the absence of a scale. These findings underscore that technical aspects of image acquisition strongly influence data quality and may introduce subjectivity. While both the investigator and WOC nurse interpreted images consistently, their assessments relied on visual judgment, which may not be fully objective without standardization. Based on these insights, a standardized protocol is proposed, including three predefined views, uniform lighting, consistent camera settings, and the use of a ruler or digital scale. This would not only improve reproducibility but also allow objective quantification of size and height. Standardized protocol (summary): Subject: lighting Advice - Turn off spotlights in the operating room. - Prevent shadows on photographs. - Turn on flashlight if light adjustment is not available. - Do not combine artificial light and natural light. - Prevent backlight. Subject: choice of camera - Invest in one high quality camera. - Use similar camera as the WOC nurses during follow-up. - Choose between raw or JPEG file. Raw will be higher quality but will take editing time afterwards. - Pay attention to white balance of the camera. Subject: structured photographs - Same patient posture on all photographs. - Take photographs with a ruler for measurements. - Classify same type of photographs. To our knowledge, this is the first study to systematically assess the feasibility of standardized photographic documentation of urostomies. Strengths of this study include its novel qualitative approach and dual-observer evaluation. Limitations include the small sample size, single-centre design, and restriction to immediate postoperative photographs, which may not reflect long-term stoma evolution. To be able to potentially predict functional outcomes based on urostomy characteristics, future studies should include lager, multicenter cohorts, complications, and QoL. Importantly, studies should also include patients without complications to define the characteristics of a well-functioning urostomy. Standardized photographic protocols could be integrated into both clinical care and research, serving as an objective tool for monitoring stoma characteristics over time and improving communication between surgeons, WOC nurses, and patients. In conclusion, photographic documentation of urostomies is feasible and allows reliable assessment of several external characteristics. Standardization of imaging protocols is essential for reproducibility. Future studies with longitudinal follow-up should correlate photographic characteristics with functional outcomes to define the determinants of optimal urostomy performance. Furthermore, it is important to assess whether early postoperative images can predict long-term outcomes and urostomy change over time. Declarations Statements and Declarations No financial and non-financial interests are directly or indirectly related to the work submitted for this publication. References EAU Guidelines on MIBC - Introduction - Uroweb . (2023). Uroweb - European Association of Urology. Geraadpleegd op 1 april 2023, https://uroweb.org/guidelines/muscle-invasive-and-metastatic-bladder-cancer Fleshman, J. W., & Lewis, M. G. (2007). Complications and Quality of Life After Stoma Surgery: A Review of 16,470 Patients in the UOA Data Registry. Seminars in Colon and Rectal Surgery, 18(1), 19–24. https://doi.org/10.1053/j.scrs.2006.12.006 Villa, G., Manara, D. F., Brancato, T., Rocco, G., Stievano, A., Vellone, E., & Alvaro, R. (2018). Life with a urostomy: A phenomenological study. Applied Nursing Research, 39, 46–52. https://doi.org/10.1016/j.apnr.2017.10.005 (2020, 16 maart). Problemen met urinestoma’s. Geraadpleegd van https://www.stomavereniging.nl/vooruitgang/problemen-met-urinestomas/ Szymanski, K. M., St-Cyr, D., Alam, T., & Kassouf, W. (2010). External stoma and peristomal complications following radical cystectomy and ileal conduit diversion: a systematic review. Ostomy Wound Management, 56(1), 28–35. Pazar, B., Yava, A., & Başal, E. (2015). Health-Related Quality of Life in Persons Living With a Urostomy. Journal of Wound, Ostomy & Continence Nursing, 42(3), 264–270. https://doi.org/10.1097/won.0000000000000110 Cottam, J., Richards, K. A. R., Hasted, A. M., & Blackman, A. (2007). Results of a nationwide prospective audit of stoma complications within 3 weeks of surgery. 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Colorectal Disease , 12 (10), 971–976. https://doi.org/10.1111/j.1463-1318.2009.01941.x Hall, C. M., Myers, C. J., & Phillips, R. J. (2005). The 554 ileostomy. British Journal of Surgery , 82 (10), 1385. https://doi.org/10.1002/bjs.1800821030 Gray, M., Colwell, J. C., Doughty, D., Goldberg, M., Hoeflok, J., Manson, A., McNichol, L., & Rao, S. (2013). Peristomal Moisture–Associated Skin Damage in Adults With Fecal Ostomies. Journal of Wound, Ostomy & Continence Nursing , 40 (4), 389–399. https://doi.org/10.1097/won.0b013e3182944340 Burgers, J. K., Quinlan, D. M., & Brendler, C. B. (1990). Improved Technique for Creation of Ileal Conduit Stoma. The Journal Of Urology, 144(5), 1188–1190. https://doi.org/10.1016/s0022-5347(17)39688-x Table 1 Table 1 is not available with this version. Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Reviews received at journal 17 May, 2026 Reviewers agreed at journal 20 Apr, 2026 Reviews received at journal 30 Mar, 2026 Reviewers agreed at journal 30 Mar, 2026 Reviewers invited by journal 29 Mar, 2026 Editor assigned by journal 22 Mar, 2026 Submission checks completed at journal 22 Mar, 2026 First submitted to journal 20 Mar, 2026 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. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-9179703","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":615746834,"identity":"d478552c-0866-4724-a6de-9a92eb60d9af","order_by":0,"name":"J.M. 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An ileal conduit is the most common incontinent urinary diversion. Despite widespread use, more than half of patients experience urostomy-related complications, with considerable impact on quality of life [2-6].\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eStrategies to optimize urostomy outcomes have primarily focused on preoperative stoma size marking. Several reports, supported by guidelines and expert consensus, recommend to mark the stoma within the \u0026lsquo;urostomy triangle\u0026rsquo; [7-11] (Figure 1a) while avoiding skin folds [12,13]. Placement through the rectus abdominis muscle further reduces the risk herniation and enhances adherence of the appliance [14,15].\u003c/p\u003e\n\u003cp\u003eAlthough high-level of evidence is lacking, beyond placement, additional visible characteristics, such as colour, height, size and morphology, are hypothesized to influence urostomy function. Vitality can be assessed by mucosal colour and moisture [16-18]. Suboptimal height (\u0026lt;2 cm) is associated with leakage and skin problems [7,19], whereas excessive height may cause discomfort, particularly in women [20,21]. Morphological subtypes (pipe, ramp, inverse ramp; Figure 1b) have been described, though their clinical impact remains unclear. Furthermore, mesenteric location may theoretically influence leakage risk, yet this has not been systematically studied.\u003c/p\u003e\n\u003cp\u003ePredictive factors for a good functioning stoma remain unclear, description of surgical techniques are relatively dated and development in this field appear to have stagnated over the past decade [22].\u003c/p\u003e\n\u003cp\u003eStandardized documentation is a prerequisite for comparative studies. This study therefore aimed to evaluate the feasibility of postoperative photographic documentation of urostomies as a method to assess relevant urostomy characteristics.\u0026nbsp;\u003c/p\u003e"},{"header":"Methods","content":"\u003cp\u003e\u003cem\u003eStudy design and population\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eThis single-center feasibility study included all patients undergoing radical cystectomy with ileal conduit urinary diversion at the Netherlands Cancer Institute between June 2022 and December 2022. Surgical approaches included robot-assisted cystectomy, open cystectomy, total pelvic exenteration, and conversion from neobladder to ileal conduit. Patients without available photographs were excluded. All patients provided consent for the use of medical data for research. The Institutional Review Board (IRB) approved the study (IRBd23-096).\u003c/p\u003e\n\u003cp\u003e\u003cem\u003ePhotography and Data collection\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eImmediate postoperative photographs of urostomies were taken in the operating room at the discretion of the surgeon, without specifications or instructions. Urostomies were constructed according to institutional practice, and preoperative site marking was performed by specialized Wound, Ostomy and Continence nurses (WOC nurses). Photographs were stored in the electronic patient records with capture date as identifier. Patient demographics and clinical data were retrieved from medical records.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eUrostomy characteristics\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eThe primary outcome was feasibility of standardized photographic assessment of urostomy characteristics. Predefined characteristics (Table 1)\u0026nbsp;were selected based on literature, guidelines, and expert consensus. Each photograph was independently reviewed by the researcher and an expert WOC nurse for visibility and assessability of each characteristic. Assessable characteristics were subsequently scored using predefined parameters. Data were entered into an anonymized CASTOR EDC database.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003ePredefined urostomy characteristics for photographic assessment\u003c/strong\u003e\u003c/p\u003e\n\u003cul\u003e\n \u003cli\u003e\u003cstrong\u003eLocation within urostomy triangle\u003c/strong\u003e (umbilicus–pubis–ASIS landmarks)[12-13]\u003c/li\u003e\n \u003cli\u003e\u003cstrong\u003ePresence within skin fold\u003c/strong\u003e (yes/no)[12-13]\u003c/li\u003e\n \u003cli\u003e\u003cstrong\u003eMesenteric location\u003c/strong\u003e (assessability, cranial vs caudal quadrant)\u003c/li\u003e\n \u003cli\u003e\u003cstrong\u003eHeight and size\u003c/strong\u003e (distance in cm above skin, measurable only with scale, diameter of the urostomy)\u003csup\u003e7,19,20,21\u003c/sup\u003e\u003c/li\u003e\n \u003cli\u003e\u003cstrong\u003eColour\u003c/strong\u003e (assessability, red, dark red/purple, black)[16-18]\u003c/li\u003e\n \u003cli\u003e\u003cstrong\u003eMorphology\u003c/strong\u003e (pipe, ramp, inverse ramp) figure 1b\u003c/li\u003e\n \u003cli\u003e\u003cstrong\u003ePeristomal skin\u003c/strong\u003e (scored using SACS [21]) [7]\u003c/li\u003e\n\u003c/ul\u003e\n\u003ch3\u003eStandardization of urostomy photography\u003c/h3\u003e\n\u003cp\u003eA medical photographer was consulted to define an optimal standardized approach for urostomy photography. An expert guidance on standardization was provided. The medical photographer reviewed all images and provided recommendations on composition and lighting, angle, composition, and use of measurement scales for future photograph acquisition.\u003c/p\u003e"},{"header":"Results","content":"\u003ch3\u003ePatient characteristics\u003c/h3\u003e\n\u003cp\u003eOf 61 eligible patients, 49 had postoperative photographs available and were included (Table 2). The reason for the missing photographs is unknown. Mean age was 64.6 years, and 37% were female. Most underwent robot-assisted cystectomy (76%).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003eTable 2\u003c/em\u003e\u003c/strong\u003e\u003cstrong\u003e.\u003cem\u003e\u0026nbsp;\u003c/em\u003e\u003c/strong\u003e\u003cstrong\u003eBaseline patient characteristics\u003c/strong\u003e\u0026nbsp;\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"321\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 61.6822%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eCharacteristics, n=49\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 38.3178%;\"\u003e\n \u003cp\u003e\u003cstrong\u003en (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 61.6822%;\"\u003e\n \u003cp\u003eFemale\u0026nbsp;\u003c/p\u003e\n \u003cp\u003eAge mean (SD), years\u003c/p\u003e\n \u003cp\u003eBMI mean (SD), kg/M\u003csup\u003e2\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 38.3178%;\"\u003e\n \u003cp\u003e18 (37)\u003c/p\u003e\n \u003cp\u003e64.6 (10)\u003c/p\u003e\n \u003cp\u003e25.1 (4)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 61.6822%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u003cem\u003eComorbidity\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 38.3178%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 61.6822%;\"\u003e\n \u003cp\u003eSmoker\u003c/p\u003e\n \u003cp\u003eFormer smoker\u0026nbsp;\u003c/p\u003e\n \u003cp\u003eDiabetes Mellitus\u0026nbsp;\u003c/p\u003e\n \u003cp\u003eCOPD\u0026nbsp;\u003c/p\u003e\n \u003cp\u003eHeart failure\u0026nbsp;\u003c/p\u003e\n \u003cp\u003ePeripheral arterial disease\u003c/p\u003e\n \u003cp\u003eASA score 1\u003c/p\u003e\n \u003cp\u003eASA score 2\u003c/p\u003e\n \u003cp\u003eASA score 3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 38.3178%;\"\u003e\n \u003cp\u003e8 (16)\u003c/p\u003e\n \u003cp\u003e23 (47)\u003c/p\u003e\n \u003cp\u003e6 (12)\u003c/p\u003e\n \u003cp\u003e3 (6)\u003c/p\u003e\n \u003cp\u003e1 (2)\u003c/p\u003e\n \u003cp\u003e1 (2)\u003c/p\u003e\n \u003cp\u003e4 (8)\u003c/p\u003e\n \u003cp\u003e34 (69)\u003c/p\u003e\n \u003cp\u003e11 (22)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 61.6822%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u003cem\u003eType of surgery\u0026nbsp;\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 38.3178%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 61.6822%;\"\u003e\n \u003cp\u003eRobot-assisted cystectomy\u003c/p\u003e\n \u003cp\u003eOpen cystectomy\u0026nbsp;\u003c/p\u003e\n \u003cp\u003eTotal exenteration\u003c/p\u003e\n \u003cp\u003eNeo-bladder converted to \u0026lsquo;ileal conduit\u0026rsquo; urinary diversion\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 38.3178%;\"\u003e\n \u003cp\u003e37 (76)\u003c/p\u003e\n \u003cp\u003e8 (16)\u003c/p\u003e\n \u003cp\u003e3 (6)\u003c/p\u003e\n \u003cp\u003e1 (2)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 100%;\"\u003e\n \u003cp\u003e\u0026nbsp;*Neo-bladder converted to \u0026lsquo;ileal conduit\u0026rsquo; urinary diversion.\u0026nbsp;\u003c/p\u003e\n \u003cp\u003eAbbreviations: SD, standard deviation; BMI, body mass index; COPD, Chronic Obstructive Pulmonary Disease; ASA, American Society of Anesthesiologists Physical Status, n = number of patients. \u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n\u003cp\u003eObjective assessment of urostomy characteristics\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eAmong 49 patients, a total of 89 photographs were available; 49 overview (55%) (Figure 4A), 31 close-up (35%) (Figure 4B), and 42 side-view (47%) (Figure 4C.).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eAssessability of characteristics\u003c/p\u003e\n\u003cp\u003eAssessment of urostomy characteristics varied across the available photographs (Table 3). The anatomical location of the urostomy within the predefined triangle was assessable in 56% of overview photographs. Skin fold assessment was possible in 22 cases, with no urostomies located within a fold. Mesentery location could be evaluated in 48% of cases; among these, 75% were cranially located, although reproducibility of this assessment was limited.\u003c/p\u003e\n\u003cp\u003eEighty-eight percent of urostomies appeared red and moist, 12% dark red to purple, and none black. Morphology was assessable in 82% of cases and classified as pipe (48%), ramp (37%), or inverse ramp (15%). Height and size could not be measured, as no measurement scale was present in any of the images.\u003c/p\u003e\n\u003cp\u003eInter-observer agreement between the investigator and the WOC nurse was 100%, with complete concordance across all assessable characteristics.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003eTable 3.\u003c/em\u003e\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;Urostomy characteristics in photographs and how these were assessed.\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\"\u003e\u003c/p\u003e\n\u003cp\u003e\u003cu\u003eStandardizing urostomy photography\u003c/u\u003e\u003c/p\u003e\n\u003cp\u003eThe review by a medical photographer demonstrated substantial variability in zoom, camera angle, and lighting across the photographs. In addition, none of the images contained a measurement scale, which prevented reliable quantification of urostomy dimensions. Based on this evaluation, the medical photographer recommended the following measures to improve reproducibility: \u0026nbsp; (1) acquisition of three standardized views (overview, close-up, side view), (2) use of consistent lighting to avoid shadows, backlighting, and mixed light sources, (3) application of uniform camera settings, including standardized white balance, (4) inclusion of a (digital) ruler or scale within each image to allow objective measurement and (5) intraoperative reporting of mesentery location.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e"},{"header":"Discussion","content":"\u003cp\u003eThis feasibility study demonstrates that postoperative photographs can be used to assess several urostomy\u0026nbsp;characteristics, including\u0026nbsp;location, colour, and morphology.\u0026nbsp;Inter-observer agreement was excellent, supporting reproducibility. However, mesentery location was inconsistently assessable, and qualitative measures such as height and diameter were not possible due to the absence of a ruler.\u003c/p\u003e\n\u003cp\u003eThe most consistently assessable characteristic was\u0026nbsp;urostomy location. Preoperative site marking has been associated with improved patient satisfaction and\u0026nbsp;reduced complication rates\u0026nbsp;[7-11].\u0026nbsp;In this study, preoperative stoma site marking was performed by a WOC nurse in all patients. According to the operative records, none of the surgeons changed the stoma site intraoperatively from the location preoperatively marked by the WOC nurse. Despite\u0026nbsp;variability in photographic quality, it was always\u0026nbsp;possible to determine whether the urostomy was positioned within the predefined anatomical triangle [13]. This finding suggests that location\u0026nbsp;can be reliably captured in photographs, provided key anatomical landmarks are included. While all sites in our cohort corresponded the preoperative marking, placement outside the\u0026nbsp;triangle may be necessary in selected cases, and the functional significance of the ‘triangle rule’ warrants further evaluation.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eAssessment of skin folds was feasible, though limited by the supine positioning of patients at the time of photography. Upright images may reveal folds not visible in the operating room and could better reflect real-life conditions of stoma care. Similarly, colour was usually clear, and a red, moist mucosa is considered a proxy for adequate vascular supply [16-18]. This suggests that photographs may provide an objective method to document urostomy vitality\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eMorphology was also reliably assessed. Although the clinical impact of different morphology subtypes remains uncertain, the inverse ramp has been suggested to predispose to leakage by directing urine toward the peristomal skin. Our finding that morphology was classifiable in more than 80% of cases underscores the potential of photographs to capture this characteristic systematically, enabling correlation with clinical outcomes. In contrast, mesentery location proved difficult to evaluate and lacked reproducibility, even when potentially visible. This underlines the limitation of photographic documentation for this characteristic and suggests that intraoperative reporting may be a more reliable method.\u003c/p\u003e\n\u003cp\u003eAn important observation was the variability in photographic technique. The medical photographer’s review highlighted substantial differences in zoom, angle, and lighting, as well as the absence of a scale. These findings underscore that technical aspects of image acquisition strongly influence data quality and may introduce subjectivity. While both the investigator and WOC nurse interpreted images consistently, their assessments relied on visual judgment, which may not be fully objective without standardization. Based on these insights, a standardized protocol is proposed, including three predefined views, uniform lighting, consistent camera settings, and the use of a ruler or digital scale. This would not only improve reproducibility but also allow objective quantification of size and height.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eStandardized protocol (summary):\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eSubject: lighting\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eAdvice\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e- Turn off spotlights in the operating room.\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e- Prevent shadows on photographs.\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e- Turn on flashlight if light adjustment is not available.\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e- Do not combine artificial light and natural light.\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e- Prevent backlight.\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eSubject: choice of camera - Invest in one high quality camera.\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e- Use similar camera as the WOC nurses during follow-up.\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e- Choose between raw or JPEG file. Raw will be higher quality\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003ebut will take editing time afterwards.\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e- Pay attention to white balance of the camera.\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eSubject: structured photographs\u0026nbsp;\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e- Same patient posture on all photographs.\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e- Take photographs with a ruler for measurements.\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e- Classify same type of photographs.\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eTo our knowledge, this is the first study to systematically assess the feasibility of standardized photographic documentation of urostomies. Strengths of this study include its novel qualitative approach and dual-observer evaluation. Limitations include the small sample size, single-centre design, and restriction to immediate postoperative photographs, which may not reflect long-term stoma evolution.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eTo be able to potentially predict functional outcomes based on urostomy characteristics, future studies should include lager, multicenter cohorts, complications, and QoL. Importantly, studies should also include patients without complications to define the characteristics of a well-functioning urostomy.\u0026nbsp;Standardized photographic protocols could be integrated into both clinical care and research, serving as an objective tool for monitoring stoma characteristics over time and improving communication between surgeons, WOC nurses, and patients.\u003c/p\u003e\n\u003cp\u003eIn conclusion, photographic documentation of urostomies is feasible and allows reliable assessment of several external characteristics. Standardization of imaging protocols is essential for reproducibility. Future studies with longitudinal follow-up should correlate photographic characteristics with functional outcomes to define the determinants of optimal urostomy performance. Furthermore, it is important to assess whether early postoperative images can predict long-term outcomes and urostomy change over time.\u0026nbsp;\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eStatements and Declarations\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNo financial and non-financial interests are directly or indirectly related to the work submitted for this publication.\u0026nbsp;\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003e\u003cem\u003eEAU Guidelines on MIBC - Introduction - Uroweb\u003c/em\u003e. (2023). Uroweb - European Association of Urology. Geraadpleegd op 1 april 2023, https://uroweb.org/guidelines/muscle-invasive-and-metastatic-bladder-cancer\u003c/li\u003e\n\u003cli\u003eFleshman, J. W., \u0026amp; Lewis, M. G. (2007). Complications and Quality of Life After \u2028Stoma Surgery: A Review of 16,470 Patients in the UOA Data Registry. Seminars in \u2028Colon and Rectal Surgery, 18(1), 19\u0026ndash;24. https://doi.org/10.1053/j.scrs.2006.12.006 \u2028\u003c/li\u003e\n\u003cli\u003eVilla, G., Manara, D. F., Brancato, T., Rocco, G., Stievano, A., Vellone, E., \u0026amp; Alvaro, \u2028R. (2018). Life with a urostomy: A phenomenological study. Applied Nursing \u2028Research, 39, 46\u0026ndash;52. https://doi.org/10.1016/j.apnr.2017.10.005 \u2028\u003c/li\u003e\n\u003cli\u003e(2020, 16 maart). Problemen met urinestoma\u0026rsquo;s. Geraadpleegd van \u2028https://www.stomavereniging.nl/vooruitgang/problemen-met-urinestomas/ \u2028\u003c/li\u003e\n\u003cli\u003eSzymanski, K. M., St-Cyr, D., Alam, T., \u0026amp; Kassouf, W. (2010). External stoma and \u2028peristomal complications following radical cystectomy and ileal conduit diversion: a \u2028systematic review. Ostomy Wound Management, 56(1), 28\u0026ndash;35. \u2028\u003c/li\u003e\n\u003cli\u003ePazar, B., Yava, A., \u0026amp; Başal, E. (2015). Health-Related Quality of Life in Persons \u2028Living With a Urostomy. Journal of Wound, Ostomy \u0026amp; Continence Nursing, 42(3), \u2028264\u0026ndash;270. https://doi.org/10.1097/won.0000000000000110 \u2028\u003c/li\u003e\n\u003cli\u003eCottam, J., Richards, K. A. R., Hasted, A. M., \u0026amp; Blackman, A. (2007). Results of a nationwide prospective audit of stoma complications within 3 weeks of\u2028surgery. \u003cem\u003eColorectal Disease\u003c/em\u003e, \u003cem\u003e9\u003c/em\u003e(9), 834\u0026ndash;838. https://doi.org/10.1111/j.1463- 1318.2007.01213.x \u2028\u003c/li\u003e\n\u003cli\u003eAUA and WOCN Society Joint Position Statement on the Value of Preoperative Stoma Marking for Patients Undergoing Creation of an Incontinent Urostomy. (2009). \u003cem\u003eJournal of Wound Ostomy and Continence Nursing\u003c/em\u003e, \u003cem\u003e36\u003c/em\u003e(3), 267\u0026ndash;268. https://doi.org/10.1097/won.0b013e3181a1a4fb \u2028\u003c/li\u003e\n\u003cli\u003eBaykara, Z. G., Demir, S. G., Karadağ, A., Harputlu, D., Kahraman, A., Karadag, S., Hin, A. \u0026Ouml;., Togluk, E., Altinsoy, M., Erdem, S., \u0026amp; Cihan, R. (2014). A multicenter, retrospective study to evaluate the effect of preoperative stoma site marking on stomal and peristomal complications. \u003cem\u003ePubMed\u003c/em\u003e, \u003cem\u003e60\u003c/em\u003e(5), 16\u0026ndash;26. https://pubmed.ncbi.nlm.nih.gov/24807019 \u2028\u003c/li\u003e\n\u003cli\u003eMcKenna, L., Taggart, E., Stoelting, J., Kirkbride, G., \u0026amp; Forbes, G. B. (2016). The Impact of Preoperative Stoma Marking on Health-Related Quality of Life. \u003cem\u003eJournal of Wound Ostomy and Continence Nursing\u003c/em\u003e, \u003cem\u003e43\u003c/em\u003e(1), 57\u0026ndash;61. https://doi.org/10.1097/won.0000000000000180 \u2028\u003c/li\u003e\n\u003cli\u003ePerson, B., Ifargan, R., Lachter, J., Duek, S. D., Kluger, Y., \u0026amp; Assalia, A. (2012). The Impact of Preoperative Stoma Site Marking on the Incidence of Complications, \u2028Quality of Life, and Patient\u0026rsquo;s Independence. \u003cem\u003eDiseases of The Colon \u0026amp; Rectum\u003c/em\u003e, \u003cem\u003e55\u003c/em\u003e(7), 783\u0026ndash;787. https://doi.org/10.1097/dcr.0b013e31825763f0\u003c/li\u003e\n\u003cli\u003eJonkers, H. A. F., Draaisma, W. A., Roskott, A. M. C., Van Overbeeke, A. J., Broeders, I. A. M. J., \u0026amp; Consten, E. C. J. (2012). Early complications after stoma formation: a prospective cohort study in 100 patients with 1-year follow-up \u003cem\u003eInternational Journal of Colorectal Disease \u003c/em\u003e(8), 1095\u0026ndash;1099. https://doi.org/10.1007/s00384-012-1413-y\u003c/li\u003e\n\u003cli\u003eRichtlijn Stomazorg. (2018). \u003cem\u003ehttps://www.venvn.nl/richtlijnen/alle- richtlijnen/richtlijn-stomazorg/\u003c/em\u003e\u003c/li\u003e\n\u003cli\u003e\u003cem\u003eBarr, J. (2004). Assessment and management of stomal complications: a framework for clinical decision making. Ostomy Wound Management. \u003cem\u003eOstomy/wound management\u003c/em\u003e, \u003cem\u003ev50 n9 (200409): 50-2, 54, 56 passim\u003c/em\u003e\u003c/em\u003e\u003c/li\u003e\n\u003cli\u003eHotouras, A., Murphy, J. B., Thaha, M. A., \u0026amp; Chan, W. C. (2013). The persistent challenge of parastomal herniation: a review of the literature and future developments. \u003cem\u003eColorectal Disease\u003c/em\u003e, \u003cem\u003e15 \u003c/em\u003e(5), e202\u0026ndash; https://doi.org/10.1111/codi.12156\u003c/li\u003e\n\u003cli\u003eBurch, J. (2005). The pre- and postoperative nursing care for patients with a stoma. \u2028\u003cem\u003eBritish Journal of Nursing\u003c/em\u003e, \u003cem\u003e14\u003c/em\u003e(6), 310\u0026ndash;318. \u2028https://doi.org/10.12968/bjon.2005.14.6.17799 \u2028\u003c/li\u003e\n\u003cli\u003eToth, P. E. (2006). Ostomy Care and Rehabilitation in Colorectal Cancer. \u003cem\u003eSeminars in \u003c/em\u003e\u2028\u003cem\u003eOncology Nursing\u003c/em\u003e, \u003cem\u003e22\u003c/em\u003e(3), 174\u0026ndash;177. https://doi.org/10.1016/j.soncn.2006.04.001 \u2028\u003c/li\u003e\n\u003cli\u003eVujnovich, A. (2008). Pre- and post-operative assessment of patients with a stoma. \u2028\u003cem\u003eNursing Standard\u003c/em\u003e, \u003cem\u003e22\u003c/em\u003e(19), 50\u0026ndash;56. https://doi.org/10.7748/ns2008.01.22.19.50.c6315 \u2028\u003c/li\u003e\n\u003cli\u003ePersson, E., Berndtsson, I., Carlsson, E., Hall\u0026eacute;n, A., \u0026amp; Lindholm, E. (2010). Stoma- related complications and stoma size - a 2-year follow up. \u003cem\u003eColorectal \u003c/em\u003e\u2028\u003cem\u003eDisease\u003c/em\u003e, \u003cem\u003e12\u003c/em\u003e(10), 971\u0026ndash;976. https://doi.org/10.1111/j.1463-1318.2009.01941.x \u2028\u003c/li\u003e\n\u003cli\u003eHall, C. M., Myers, C. J., \u0026amp; Phillips, R. J. (2005). The 554 ileostomy. \u003cem\u003eBritish Journal \u003c/em\u003e\u2028\u003cem\u003eof Surgery\u003c/em\u003e, \u003cem\u003e82\u003c/em\u003e(10), 1385. https://doi.org/10.1002/bjs.1800821030 \u2028\u003c/li\u003e\n\u003cli\u003eGray, M., Colwell, J. C., Doughty, D., Goldberg, M., Hoeflok, J., Manson, A., \u2028McNichol, L., \u0026amp; Rao, S. (2013). Peristomal Moisture\u0026ndash;Associated Skin Damage in Adults With Fecal Ostomies. \u003cem\u003eJournal of Wound, Ostomy \u0026amp; Continence \u003c/em\u003e\u2028\u003cem\u003eNursing\u003c/em\u003e, \u003cem\u003e40\u003c/em\u003e(4), 389\u0026ndash;399. https://doi.org/10.1097/won.0b013e3182944340 \u2028\u003c/li\u003e\n\u003cli\u003eBurgers, J. K., Quinlan, D. M., \u0026amp; Brendler, C. B. (1990). Improved Technique for Creation of Ileal Conduit Stoma.\u0026nbsp;The Journal Of Urology,\u0026nbsp;144(5), 1188\u0026ndash;1190.\u0026nbsp;\u003cbr /\u003e https://doi.org/10.1016/s0022-5347(17)39688-x\u003c/li\u003e\n\u003c/ol\u003e"},{"header":"Table 1","content":"\u003cp\u003eTable 1 is not available with this version.\u003c/p\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"world-journal-of-urology","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"wjur","sideBox":"Learn more about [World Journal of Urology](https://link.springer.com/journal/345)","snPcode":"345","submissionUrl":"https://submission.nature.com/new-submission/345/3","title":"World Journal of Urology","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false},"keywords":"Urostomy, photographic characteristics, radical cystectomy, ileal conduit ","lastPublishedDoi":"10.21203/rs.3.rs-9179703/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-9179703/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003e\u003cem\u003ePurpose\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eA well-functioning urostomy is essential for quality of life after radical cystectomy with ileal conduit diversion. However, objective external characteristics of a well-functioning urostomy remain poorly defined. This feasibility study investigated whether postoperative photographs can be standardized and used to assess relevant urostomy characteristics.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eMethods\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eThis single-centre study included 49 patients who underwent radical cystectomy with ileal conduit between June 2022 and December 2022. Immediate postoperative photographs were analysed. Urostomy characteristics, i.e. location, morphology, colour and height were evaluated by two experts using predefined criteria. Photographic standardization was reviewed by a medical photographer.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eResults\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eOf 49 patients, a total of 89 photographs were available; 49 overview (55%), 31 close-up (35%), and 42 side-view (47%). Urostomy location, colour, and morphology were assessable in 82-88% of cases. Mesentery location was assessable in only 48% and lacked reproducibility. Height and size could not be measured due to absence of a scale. Inter-observer agreement between the two experts and the wound, ostomy and continence nurse (WOC nurse) was 100% on whether a characteristic could be assessed in a photograph, with no discrepancies in scoring. The medical photographer identified substantial variability in lighting, angle, and composition and provided recommendations for standardization.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eConclusion\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003ePhotographic documentation of urostomies is \u003c/em\u003efeasible and allows for reliable assessment of several characteristics. Standardization is essential for reproducibility. Future studies should correlate standardized photographic characteristics with functional outcomes to define determinants of a well-functioning urostomy.\u003c/p\u003e","manuscriptTitle":"Photographic assessment of urostomy characteristics after ileal conduit diversion: a feasibility study","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2026-04-03 06:26:04","doi":"10.21203/rs.3.rs-9179703/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"editorInvitedReview","content":"","date":"2026-05-17T19:16:17+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"231157318298746883394389553677477964182","date":"2026-04-20T17:52:56+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2026-03-30T06:55:18+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"78671918876504607333592595238419096021","date":"2026-03-30T05:01:51+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2026-03-29T15:54:56+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2026-03-22T13:45:20+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2026-03-22T10:39:02+00:00","index":"","fulltext":""},{"type":"submitted","content":"World Journal of Urology","date":"2026-03-20T14:02:58+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"world-journal-of-urology","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"wjur","sideBox":"Learn more about [World Journal of Urology](https://link.springer.com/journal/345)","snPcode":"345","submissionUrl":"https://submission.nature.com/new-submission/345/3","title":"World Journal of Urology","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false}}],"origin":"","ownerIdentity":"0e5ee2c0-d659-4528-88c4-c0b9d6bf4c0a","owner":[],"postedDate":"April 3rd, 2026","published":true,"recentEditorialEvents":[{"type":"editorInvitedReview","content":"","date":"2026-05-17T19:16:17+00:00","index":18,"fulltext":""}],"rejectedJournal":[],"revision":"","amendment":"","status":"under-review","subjectAreas":[],"tags":[],"updatedAt":"2026-04-03T06:26:04+00:00","versionOfRecord":[],"versionCreatedAt":"2026-04-03 06:26:04","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-9179703","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-9179703","identity":"rs-9179703","version":["v1"]},"buildId":"XKTyCvWXoU3ODBz1xrDgd","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}