Structured manual for MRI assessment of deep infiltrating endometriosis using the ENZIAN classification

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This study proposed a systematic MRI assessment manual for deep infiltrating endometriosis using the Enzian classification and evaluated its inter-rater agreement.

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This paper proposes a structured MRI assessment manual for deep infiltrating endometriosis (DIE) using the ENZIAN classification, evaluated by inter-rater agreement among three radiologists. In a retrospective single-center study of 23 patients with pelvic DIE, radiologists reviewed MRI that had intraoperative confirmation and followed ESUR-recommended imaging; they assessed 53 anatomical compartments using step-by-step instructions with specified planes and sequences, and agreement was quantified with kappa statistics. The authors found best inter-rater agreement for compartment A (0.255) and FB (0.642), while FI (0.204) and B (0.146) showed slight agreement and C (−0.263), FA (−0.022), and FO (−0.030) had poor agreement, with no ureter infiltration described for FU. A key caveat is that despite a reproducible manual, DIE MRI assessment remained difficult with variable reproducibility across compartments, motivating a more systematic approach. This paper is centrally about endometriosis — it develops and tests a structured ENZIAN-based MRI manual specifically for deep infiltrating endometriosis.

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Abstract

PurposeProposal of a systematic approach to assess Deep infiltrating endometriosis (DIE) through pelvic Magnetic resonance imaging (MRI) using the Enzian classification and examination of inter-rater agreement.MethodsThree radiologists reviewed 23 MRI of patients with pelvic DIE at one tertiary referral center retrospectively and independently. Inclusion criteria were intraoperative confirmation of DIE and MR imaging according to ESUR (European Society of Urogenital Radiology) guidelines. Assessment of the anatomical pelvic compartments was performed using a manual based on the Enzian classification with step-by-step instructions using recommended planes and sequences presented here. Interrater agreement was measured using kappa statistics.ResultsAccording to the intraoperative site lesions in 53 anatomical compartments were present. Interrater agreement was best for compartments A (0.255) and FB (0.642). For FI (0.204) and B (0.146) it was slight, there was poor agreement for C (- 0.263), FA (- 0.022), and FO (- 0.030), respectively, and as for FU, no ureter infiltration was described.ConclusionMRI as a noninvasive diagnostic tool offers essential advantages regarding classification and therapy planning for patients with DIE. However, its assessment is difficult and a more systematic approach is needed. Our proposed manual based on the Enzian classification is reproducible and could support radiologists and gynecologists.
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Abstract

Purpose Proposal of a systematic approach to assess Deep infiltrating endometriosis (DIE) through pelvic Magnetic resonance imaging (MRI) using the Enzian classification and examination of inter-rater agreement.

Methods

Three radiologists reviewed 23 MRI of patients with pelvic DIE at one tertiary referral center retrospectively and independently. Inclusion criteria were intraoperative confirmation of DIE and MR imaging according to ESUR (European Society of Urogenital Radiology) guidelines. Assessment of the anatomical pelvic compartments was performed using a manual based on the Enzian classification with step-by-step instructions using recommended planes and sequences presented here. Interrater agreement was measured using kappa statistics.

Results

According to the intraoperative site lesions in 53 anatomical compartments were present. Interrater agreement was best for compartments A (0.255) and FB (0.642). For FI (0.204) and B (0.146) it was slight, there was poor agreement for C (− 0.263), FA (− 0.022), and FO (− 0.030), respectively, and as for FU, no ureter infiltration was described.

Conclusion

MRI as a noninvasive diagnostic tool offers essential advantages regarding classification and therapy planning for patients with DIE. However, its assessment is difficult and a more systematic approach is needed. Our proposed manual based on the Enzian classification is reproducible and could support radiologists and gynecologists. Similar content being viewed by others Availability of data and materials Data are available upon reasonable request.

References

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Corresponding author Ethics declarations Conflict of interest Author Laurin Burla declares that he has no conflict of interest. Author David Scheiner declares that he has no conflict of interest. Author Andreas M Hötker declares that he has no conflict of interest. Author Andreas Meier declares that he has no conflict of interest. Author Daniel Fink declares that he has no conflict of interest. Author Andreas Boss declares that he has no conflict of interest. Author Patrick Imesch declares that he has no conflict of interest. Ethical approval All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. This study was approved prior to its initiation by the cantonal ethics committee of Zurich (2016-00613). Informed consent Informed consent was obtained from all individual participants included in the study. 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 Burla, L., Scheiner, D., Hötker, A.M. et al. Structured manual for MRI assessment of deep infiltrating endometriosis using the ENZIAN classification. Arch Gynecol Obstet 303, 751–757 (2021). https://doi.org/10.1007/s00404-020-05892-w Received: Accepted: Published: Version of record: Issue date: DOI: https://doi.org/10.1007/s00404-020-05892-w

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Condition tags

endometriosisdie_deep_infiltrating

MeSH descriptors

Endometriosis Endometriosis Magnetic Resonance Imaging Pelvis Adult Endometriosis Endometriosis Female Humans Magnetic Resonance Imaging Middle Aged Observer Variation Pelvis Pelvis Retrospective Studies Sensitivity and Specificity

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