Retrospective evaluation of the mr#ENZIAN classification's applicability in the pre-operative assessment of complex
Dagmar Morell-Hofert1, Christian Kremser2, Ena Josip-Caleta2
1Innsbruck Medical University, Innsbruck, Austria. dagmar.morell@i-med.ac.at.
Purpose:
Pelvic MRI is increasingly performed as a second-line investigation in suspected complex cases of endometriosis, to precisely localize lesions and to optimise surgical planning. To facilitate MRI evaluation and inter-disciplinary communication, several standardized structured image analysis and radiologic reporting classification systems have been proposed, including the mr#ENZIAN classification, whose applicability needs further proving.
Materials And Methods:
In an attempt to further validate the #ENZIAN classification applicability to MRI, we retrospectively evaluated the results of structured and unstructured MRI analysis by #ENZIAN compartment, considering both sole lesion-detection and #ENZIAN grading, using the corresponding op#ENZIAN score as a reference and evaluating inter-rater agreement of structured mr#ENZIAN results. In total, 83 patients with surgically/histopathologically confirmed endometriosis who received a pelvic MRI within 8 months prior to surgery between 2018 and 2022 were included.
Results:
Concordance of mr#ENZIAN and op#ENZIAN results proved to be highly dependent on #ENZIAN-compartment: almost perfect agreement in locations FU, FI and others (FO); substantial agreement for lesion detection and grading in O, C and P; moderate to substantial agreement in T; moderate agreement in FB; moderate to fair agreement in A and only fair to poor agreement in B and FA. Inter-rater agreement between expert radiologists proved to be almost perfect to substantial for lesion detection and grading in most compartments, with exception of A, B and FA. There were no significant differences between results of structured and unstructured MRI evaluation.
Conclusion:
We recommend a simplification of the mr#ENZIAN classification regarding DE, with clearer rules to differentiate and measure lesions affecting the A and B compartments.
