Evidence map›Paper›PMID 38046415›Full record

ArticleFrontiers in medicine2023

Application of the #Enzian classification for endometriosis on MRI: prospective evaluation of inter- and intraobserver agreement.

Sebastian Harth, Hasan Emin Kaya, Felix Zeppernick, Ivo Meinhold-Heerlein, Jörg Keckstein, Selcuk Murat Yildiz, Emina Nurkan, Gabriele Anja Krombach, Fritz Christian Roller

Abstract read
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Article in Frontiers in medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

9 authors.

Sebastian HarthDepartment of Diagnostic and Interventional Radiology, Justus Liebig University Giessen, Giessen, Germany.
Hasan Emin KayaDepartment of Radiology, School of Medicine, Görükle Campus, Bursa Uludağ University, Bursa, Türkiye.
Felix ZeppernickDepartment of Gynecology and Obstetrics, Justus Liebig University Giessen, Giessen, Germany.
Ivo Meinhold-HeerleinDepartment of Gynecology and Obstetrics, Justus Liebig University Giessen, Giessen, Germany.
Jörg KecksteinEndometriosis Clinic Dres. Keckstein, Villach, Austria.
Selcuk Murat YildizDepartment of Diagnostic and Interventional Radiology, Justus Liebig University Giessen, Giessen, Germany.
Emina NurkanDepartment of Diagnostic and Interventional Radiology, Justus Liebig University Giessen, Giessen, Germany.
Gabriele Anja KrombachDepartment of Diagnostic and Interventional Radiology, Justus Liebig University Giessen, Giessen, Germany.
Fritz Christian RollerDepartment of Diagnostic and Interventional Radiology, Justus Liebig University Giessen, Giessen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The purpose of this investigation was to evaluate the inter- and intraobserver variability of the updated #Enzian classification of endometriosis on MRI and to evaluate the influence of reader experience on interobserver concordance. Methods: This was a prospective single-center study. All patients were included who received an MRI of the pelvis for evaluation of endometriosis between March and July 2023 and who have provided written informed consent. Images were reviewed independently for endometriosis by three radiologists, utilizing the MRI-applicable categories of the #Enzian classification. Two radiologists had experience in pelvic MRI and endometriosis imaging. One radiologist had no specific experience in pelvic MRI and received a one-hour briefing beforehand. Results: Fifty consecutive patients (mean age, 34.9 years ±8.6 [standard deviation]) were prospectively evaluated. Interobserver agreement was excellent for diagnosis of deep infiltrating endometriosis (Fleiss' kappa: 0.89; 95% CI 0.73-1.00; Conclusion: With sufficient experience, the #Enzian classification enables the achievement of excellent inter- and intraobserver agreement in MRI-based diagnosis of deep infiltrating endometriosis and endometriomas.

Indexed as

deep infiltrating endometriosisendometriomainterobserver variabilitymagnetic resonance imagingpelvis

Identifiers

PMID38046415
PMCPMC10690940

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.