12221 External Validation Study of Pre-Operative Ultrasound Based AAGL Staging System (AAGL-US) in Prediction of AAGL Surgical Stage

To externally validate the AAGL-US in prediction of AAGL surgical stage following on from previously published data in 2022. Retrospective multicentre observational study. Recruited through gynaecology ultrasound and endometriosis surgery outpatient clinic and operated by experienced laparoscopists. Patients recruited from August 2018-November 2019 that presented for investigation and management of possible endometriosis with data presented previously in separate analysis. Patients were over 18 years of age. Excluded if post menopausal, diagnosis of malignancy, pregnant or unable to undergo trans-vaginal ultrasound. Patients underwent a deep endometriosis ultrasound conducted in accordance with the IDEA consensus prior to surgical assessment and management. AAGL-US stage (1-4) was documented retrospectively while surgical stage (AAGL 1-4) was assessed contemporaneously based on findings at time of surgery. A total of 236 patients were included in the analysis. The weighted kappa score of the performance of AAGL-US in prediction of the AAGL surgical stage was 0.5 demonstrating moderate agreement. Intraclass correlation was highest as good reliability for right ovary, left ovary, bladder and rectum with ICC scores of 0.83, 0.84, 0.80 and 0.76 respectively. Pouch of Douglass obliteration demonstrated moderate reliability at 0.53. Diagnostic accuracy in AAGL-U in prediction of presence of any endometriosis showed sensitivity 0.56, specificity 0.60, positive predictive value 0.97, negative predictive value 0.23. There is moderate agreement between AAGL-US and AALG surgical stage with weighted kappa 0.50 much lower than previously reported 0.76. ICC was similar in assessment of ovaries, bladder and recal disease to previously reported data.

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Publication Details

Journal
Journal of Minimally Invasive Gynecology
Published
2024-11-01
DOI
https://doi.org/10.1016/j.jmig.2024.09.927
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
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article

12221 External Validation Study of Pre-Operative Ultrasound Based AAGL Staging System (AAGL-US) in Prediction of AAGL Surgical Stage

G. Condous, C. Uzuner, Shelley Reid, Jason Mak et al.
Journal of Minimally Invasive Gynecology
Radiomics and Machine Learning in Medical Imaging
article

12221 External Validation Study of Pre-Operative Ultrasound Based AAGL Staging System (AAGL-US) in Prediction of AAGL Surgical Stage

G. Condous, C. Uzuner, Shelley Reid, Jason Mak, Allie Eathorne, P McClenahan, M Espada-Vaquero
article en

Abstract

To externally validate the AAGL-US in prediction of AAGL surgical stage following on from previously published data in 2022. Retrospective multicentre observational study. Recruited through gynaecology ultrasound and endometriosis surgery outpatient clinic and operated by experienced laparoscopists. Patients recruited from August 2018-November 2019 that presented for investigation and management of possible endometriosis with data presented previously in separate analysis. Patients were over 18 years of age. Excluded if post menopausal, diagnosis of malignancy, pregnant or unable to undergo trans-vaginal ultrasound. Patients underwent a deep endometriosis ultrasound conducted in accordance with the IDEA consensus prior to surgical assessment and management. AAGL-US stage (1-4) was documented retrospectively while surgical stage (AAGL 1-4) was assessed contemporaneously based on findings at time of surgery. A total of 236 patients were included in the analysis. The weighted kappa score of the performance of AAGL-US in prediction of the AAGL surgical stage was 0.5 demonstrating moderate agreement. Intraclass correlation was highest as good reliability for right ovary, left ovary, bladder and rectum with ICC scores of 0.83, 0.84, 0.80 and 0.76 respectively. Pouch of Douglass obliteration demonstrated moderate reliability at 0.53. Diagnostic accuracy in AAGL-U in prediction of presence of any endometriosis showed sensitivity 0.56, specificity 0.60, positive predictive value 0.97, negative predictive value 0.23. There is moderate agreement between AAGL-US and AALG surgical stage with weighted kappa 0.50 much lower than previously reported 0.76. ICC was similar in assessment of ovaries, bladder and recal disease to previously reported data.

Journal of Minimally Invasive GynecologyVol. 31(11)
Nepean Hospital (AU), Endometriosis UK (GB), Medical Research Institute of New Zealand (NZ), Western Sydney University (AU)
Openalex Percentile: Top 66%
Radiomics and Machine Learning in Medical Imaging
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