From ports to pixels: Reimagining the AAGL Endometriosis Classification through Imaging

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This educational exhibit reviews the anatomical compartments in the AAGL 2021 endometriosis classification and proposes an MRI-based scoring system that adapts surgical compartments into imaging-based compartments. Using an outlined MRI protocol and described imaging appearances for ovarian, superficial, and deep endometriosis, the authors aim to reduce descriptive variability and improve communication between radiologists and multidisciplinary surgical teams through a structured reporting model that includes main sites of involvement and the proposed score. The main limitation is that the work is presented as an exhibit/educational framework rather than reporting new validated clinical outcomes or performance metrics for the MRI score. This paper is centrally about endometriosis — it reimagines the AAGL 2021 classification as an MRI-based scoring system with structured reporting to facilitate preoperative staging.

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Keywords

Anatomy, Genital / Reproductive system female, Pelvis, MR, Diagnostic procedure, Education, Structured reporting, Education and training Authors: J. E. Mourao Santos, D. D. C. Martins, A. Melloni, G. Vianna, A. Morganti, F. Braga, B. J. A. Wood, B. Muszkat, F. Muszkat DOI: 10.26044/ecr2026/C-24747 Learning objectives To review and illustrate the anatomical compartments defined in the American Association of Gynecologic Laparoscopists (AAGL) 2021 endometriosis classification. To propose an MRI-based scoring system equivalent to the surgical classification, adapting surgical compartments to imaging-based compartments. To demonstrate how applying this MRI-adapted AAGL score can reduce descriptive variability and enhance communication between radiologists and multidisciplinary surgical teams. To present a structured reporting model incorporating the main sites of endometriotic involvement and the proposed score, aiming to facilitate diagnosis and preoperative staging.

Background

Endometriosis is a chronic inflammatory gynecological disease that affects approximately 10% of women of reproductive age, frequently associated with chronic pelvic pain, dysmenorrhea, dyspareunia, bowel or bladder dysfunction, and infertility, causing a significant impact on quality of life. [1]Magnetic resonance imaging (MRI) is the leading imaging modality for preoperative mapping, enabling accurate assessment of lesion site, depth, and extent, and serving as a valuable tool to estimate surgical complexity. [1] Findings and procedure details MRI PREPARATION AND PROTOCOLA model MRI protocol is presented in Figure 1. [Fig 1]“TYPES OF ENDOMETRIOSIS”1. OVARIAN ENDOMETRIOSISMRI findings: unilocular or multilocular cysts containing hemoglobin degradation products at variable stages, demonstrating hyperintensity on T1-weighted images and hypointensity on T2-weighted images (T2 shading). [2] [Fig 10]2. SUPERFICIAL ENDOMETRIOSISThese are small lesions on the peritoneal surface, better visualized during laparoscopy. On MRI, they appear as foci of hyperintensity on T1-weighted images with fat suppression, generally without corresponding signal on T2-weighted sequences. [5]3. DEEP ENDOMETRIOSISDeep endometriosis is defined...

Conclusion

Implementing an MRI-based score aligned with the AAGL 2021 classification and integrated into a structured report could standardize multidisciplinary communication, improve surgical planning, and enhance preoperative staging of endometriosis, fostering advances in both clinical practice and education in pelvic radiology. Personal information and conflict of interest J. E. Mourao Santos: Nothing to disclose D. D. C. Martins: Nothing to disclose A. Melloni: Nothing to disclose G. Vianna: Nothing to disclose A. Morganti: Nothing to disclose F. Braga: Nothing to disclose B. J. A. Wood: Nothing to disclose B. Muszkat: Nothing to disclose F. Muszkat: Nothing to disclose

References

[1] ROUSSET, P.; FLORIN, M.; BHARWANI, N.; TOUBOUL, C.; MONROC, M.; GOLFIER, F.; et al. Deep pelvic infiltrating endometriosis: MRI consensus lexicon and compartment-based approach from the ENDOVALIRM group. Diagnostic and Interventional Imaging, v. 104, n. 3, p. 95–112, 2023. DOI: 10.1016/j.diii.2022.09.004.[2] VANBUREN, W.; FELDMAN, M.; SHENOY BHANGLE, A. S.; SAKALA, M. D.; YOUNG, S.; CHAMIE, L. P.; et al. Radiology state of the art review: Endometriosis imaging interpretation and reporting. Radiology, v. 312, n. 3, e233482, 2024. DOI: 10.1148/radiol.233482.[3] ABRÃO, M. S.; ANDRES, M....

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