Reasons why it is time to change imaging guidelines on endometriosis

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New imaging guidelines are needed for endometriosis diagnosis and staging using MRI and TVUS, advocating for standardized lexicons and classifications like dPEI to improve gynecologist communication and patient management.

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The paper discusses the need to update imaging guidelines for suspected endometriosis, focusing on how to best protocol and standardize MRI and transvaginal ultrasonography (TVUS) as referral numbers and patient expectations rise. It argues for combining clinical examination with TVUS and MRI to achieve optimal staging, and highlights MRI’s ability to identify lesions that may be hidden early in laparoscopy, motivating dedicated MRI classifications such as the deep pelvic endometriosis index (dPEI). The paper points out that a deep pelvic endometriosis index classification is externally validated and correlates with operating time, hospital stay, and postoperative complications, but it is based on guideline/consensus reasoning rather than new comparative clinical data. This paper is centrally about endometriosis — it specifically argues for changing MRI/TVUS imaging guidelines using standardized lexicons and compartment-based classifications (including dPEI) for deep pelvic disease mapping and staging.

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Abstract

In light of the rising number of patients referred for magnetic resonance imaging (MRI) due to suspected endometriosis and the high expectations of these patients, there is a need for new imaging guidelines to optimally protocol and indicate MRI and transvaginal ultrasonography (TVUS) examinations. This is crucial for accurately addressing the inquiries of gynecologists, encompassing complete mapping and preoperative staging, and facilitating effective communication with patients. In this context, the development of a standardized lexicon, as well as dedicated imaging classifications, is recommended to aid in the comprehensive management of patients. CLINICAL RELEVANCE STATEMENT: The radiologist should use a standardized lexicon and provide a score along with details about the specific compartments affected by endometriosis disease. This helps in offering clearer guidance to the surgeon. KEY POINTS: • An optimal staging is based on the combination of clinical examination, transvaginal US, and MRI. • MRI is able to detect location that is hidden at the beginning of a laparoscopic surgery and thus the need for dedicated MR classifications to correctly stage the disease. • Deep pelvic endometriosis index (dPEI) classification is externally validated and highly correlated with operating time, hospital stay, and postoperative complications.
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Abstract

In light of the rising number of patients referred for magnetic resonance imaging (MRI) due to suspected endometriosis and the high expectations of these patients, there is a need for new imaging guidelines to optimally protocol and indicate MRI and transvaginal ultrasonography (TVUS) examinations. This is crucial for accurately addressing the inquiries of gynecologists, encompassing complete mapping and preoperative staging, and facilitating effective communication with patients. In this context, the development of a standardized lexicon, as well as dedicated imaging classifications, is recommended to aid in the comprehensive management of patients. Clinical relevance statement The radiologist should use a standardized lexicon and provide a score along with details about the specific compartments affected by endometriosis disease. This helps in offering clearer guidance to the surgeon. Key Points • An optimal staging is based on the combination of clinical examination, transvaginal US, and MRI. • MRI is able to detect location that is hidden at the beginning of a laparoscopic surgery and thus the need for dedicated MR classifications to correctly stage the disease. • Deep pelvic endometriosis index (dPEI) classification is externally validated and highly correlated with operating time, hospital stay, and postoperative complications. Abbreviations - DPE: - Deep pelvic endometriosis - dPEI: - Deep Pelvic Endometriosis Index - ESUR: - European Society of UroRadiology - MRI: - Magnetic resonance imaging - PE: - Physical examination - SAR: - Society of Abdominal Radiology - SIFEM: - Société d’Imagerie de la Femme - TVUS: - Transvaginal ultrasonography - USL: - Uterosacral ligament

References

Roman H, Chanavaz-Lacheray I, Hennetier C et al (2023) Long-term risk of repeated surgeries in women managed for endometriosis: a 1,092 patient-series. Fertil Steril 120:870–879. https://doi.org/10.1016/j.fertnstert.2023.05.156 Nisenblat V, Bossuyt PMM, Farquhar C et al (2016) Imaging modalities for the non-invasive diagnosis of endometriosis. Cochrane Database Syst Rev 2:CD009591. https://doi.org/10.1002/14651858.CD009591.pub2 Roditis A, Florin M, Rousset P et al (2023) Accuracy of combined physical examination, transvaginal ultrasonography, and magnetic resonance imaging to diagnose deep endometriosis. Fertil Steril 119:634–643. https://doi.org/10.1016/j.fertnstert.2022.12.025 Bazot M, Bharwani N, Huchon C et al (2017) European society of urogenital radiology (ESUR) guidelines: MR imaging of pelvic endometriosis. Eur Radiol 27:2765–2775. https://doi.org/10.1007/s00330-016-4673-z Sadowski EA, Stein EB, Thomassin-Naggara I et al (2023) O-RADS MRI after initial ultrasound for adnexal lesions: AJR Expert Panel Narrative Review. AJR Am J Roentgenol 220:6–15. https://doi.org/10.2214/AJR.22.28084 Najdawi M, Razakamanantsoa L, Mousseaux C et al (2023) Resolution of pain after percutaneous image-guided cryoablation of extraperitoneal endometriosis. J Vasc Interv Radiol 34:1192–1198. https://doi.org/10.1016/j.jvir.2023.03.025 Gutzeit A, Sartoretti E, Reisinger C et al (2021) Direct communication between radiologists and patients improves the quality of imaging reports. Eur Radiol 31:8725–8732. https://doi.org/10.1007/s00330-021-07933-7 Rockall AG, Justich C, Helbich T, Vilgrain V (2022) Patient communication in radiology: moving up the agenda. Eur J Radiol 155:110464. https://doi.org/10.1016/j.ejrad.2022.110464 Enzelsberger S-H, Oppelt P, Nirgianakis K et al (2022) Preoperative application of the Enzian classification for endometriosis (The cEnzian Study): a prospective international multicenter study. BJOG. https://doi.org/10.1111/1471-0528.17235 Thomassin-Naggara I, Lamrabet S, Crestani A et al (2020) Magnetic resonance imaging classification of deep pelvic endometriosis: description and impact on surgical management. Hum Reprod 35:1589–1600. https://doi.org/10.1093/humrep/deaa103 Thomassin-Naggara I, Monroc M, Chauveau B et al (2023) Multicenter external validation of the Deep Pelvic Endometriosis Index Magnetic Resonance Imaging Score. JAMA Netw Open 6:e2311686. https://doi.org/10.1001/jamanetworkopen.2023.11686 Rousset P, Florin M, Bharwani N et al (2023) Deep pelvic infiltrating endometriosis: MRI consensus lexicon and compartment-based approach from the ENDOVALIRM group. Diagn Interv Imaging. 104(3):95–112. https://doi.org/10.1016/j.diii.2022.09.004 Jha P, Sakala M, Chamie LP et al (2020) Endometriosis MRI lexicon: consensus statement from the society of abdominal radiology endometriosis disease-focused panel. Abdom Radiol (NY) 45:1552–1568. https://doi.org/10.1007/s00261-019-02291-x Funding The authors state that this work has not received any funding. Author information Authors and Affiliations Corresponding author Ethics declarations Guarantor The scientific guarantor of this publication is Isabelle Thomassin-Naggara. Conflict of interest I. Thomassin-Naggara declares remunerated lectures by General Electric, Siemens, Canon, Guerbet, Fuji, incepto, iCAD, GSK, and punctual board participation with Guerbet, Bayer, Bracco, Bard. No conflict of interest directly related to the article. The remaining authors of this manuscript declare no relationships with any companies, whose products or services may be related to the subject matter of the article. Statistics and biometry No complex statistical methods were necessary for this paper. Informed consent Written informed consent was not required. Ethical approval Institutional Review Board approval was not required. Study subjects or cohorts overlap Not applicable. Methodology • performed at one institution Additional information Publisher's Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Rights and permissions About this article Cite this article Thomassin-Naggara, I., Rousset, P., Touboul, C. et al. Reasons why it is time to change imaging guidelines on endometriosis. Eur Radiol 34, 6175–6181 (2024). https://doi.org/10.1007/s00330-024-10595-w Received: Revised: Accepted: Published: Version of record: Issue date: DOI: https://doi.org/10.1007/s00330-024-10595-w

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Outcome instruments

Enzian

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endometriosis

MeSH descriptors

Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis

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