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Study Objective: Externally validate the American Association of Gynecologic Laparoscopists (AAGL) staging system against surgical complexity and compare diagnostic accuracy with revised American Society for Reproductive Medicine (rASRM) stage, as was done in original publication., Design: Retrospective, diagnostic accuracy study., Setting: Multicenter (Sydney, Australia)., Patients: A total of 317 patients (January 2016-October 2021) were used in the final analysis., Interventions: A database of patients with coded surgical data was analyzed., Measurements and Main Results: Three independent observers assigned an AAGL surgical stage (1-4) as the index test and surgical complexity level (A-D) as the reference standard. Results from the most accurate of the 3 observers were used in the final analysis. The weighted kappa score for the overall performance of AAGL stage and rASRM to predict AAGL level was 0.48 and 0.48, respectively (no difference). This represents weaker agreement with AAGL level than was observed in the reference paper, which reported a weighted kappa of 0.62. Diagnostic accuracy (sensitivity, specificity, positive predictive value, and negative predictive value) for stage 1 to predict level A was 98.5%, 64.3%, 66.3%, and 98.3%; stage 2 to predict level B 31.2%, 90.5%, 27.0%, and 92.1 %; stage 3 to predict level C 12.3%, 94.1%, 59.3%, and 60.7%; stage 4 to predict level D 95.65%, 88.10%, 38.60%, and 99.62%. Area under the receiver operating characteristic curve for A vs B/C/D (cut point 9) was 0.87, A/B vs C/D (cut point 16) was 0.78, and A/B/C vs D (cut point 22) was 0.94., Conclusion: There was weak to moderate agreement between AAGL stage and AAGL surgical complexity level. Across all key indicators, the AAGL system did not perform as well in this external validation, nor did it outperform rASRM as it did in the reference paper. Results suggest the system is not generalizable., (Copyright © 2023 AAGL. All rights reserved.)

Study Objective: To develop a model, including clinical features and ultrasound findings, to predict the need for ureterolysis (i.e., dissection of the ureter) during laparoscopy for endometriosis., Design: A retrospective observational study of patients who had undergone transvaginal ultrasound (TVS) according to the International Deep Endometriosis Analysis consensus and subsequent laparoscopy ± excision of endometriosis between January 2017 and February 2021 was conducted., Setting: Sydney Medical School Nepean, University of Sydney, Nepean Hospital, and Blue Mountains Hospital, New South Wales, Australia., Patients/participant: 177 patients., Intervention: The demographic, clinical, TVS, and intraoperative data were extracted through electronic clinical records., Measurements and Main Results: Multicategorical decision-tree and baseline models were built to choose the variables most correlated to the outcome under study. Receiver operating characteristic analysis was performed on the binary classification. Based on our results, we selected the variables performing with significant statistical differences (p <.05). During the study period, 177 consecutive patients were recruited and divided into 2 subgroups, ureterolysis (51.4%) and nonureterolysis (48.6%). Ureterolysis was noted in 87.5% of patients in which the left ovary was immobile (p <.001) and in 82.5% in which the right ovary was fixed (p <.001). For patients with right uterosacral ligament (USL) deep endometriosis (DE), ureterolysis was performed in 96.2% patients (p <.001) and 64.6% (p = .043) for left USL DE. Among patients with bowel DE, the proportion of patients undergoing ureterolysis was 95.5% (p <.001). The prognostic variables used in the final model to predict ureterolysis included dyschezia, absence of ovarian mobility, presence of right or left USL DE, and presence of bowel DE on TVS. According to the developed model, the baseline risk for performing ureterolysis is 20% in our sample. The overall model performance demonstrated an area under the receiver operating characteristic curve 0.82., Conclusion: Our study demonstrates that it is possible to predict the need for ureterolysis with clinical and sonographic data. Furthermore, patients presenting with a combination of the variables of our model (dyschezia, ovarian immobility, USL, and bowel DE lesions) have a high risk of ureterolysis. In contrast, patients without these features have a low risk (approximately 20%) of needing ureterolysis., (Crown Copyright © 2022. Published by Elsevier Inc. All rights reserved.)