A Magnetic Resonance Imaging Index to Predict Crohn's Disease Postoperative Recurrence: The MONITOR Index.

Crohn’s Disease Inflammatory Bowel Disease Magnetic Resonance Imaging Postoperative Recurrence Radiology Surgery

Journal

Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association
ISSN: 1542-7714
Titre abrégé: Clin Gastroenterol Hepatol
Pays: United States
ID NLM: 101160775

Informations de publication

Date de publication:
05 2022
Historique:
received: 19 04 2021
revised: 01 06 2021
accepted: 25 06 2021
pubmed: 4 7 2021
medline: 20 4 2022
entrez: 3 7 2021
Statut: ppublish

Résumé

We developed and validated a magnetic resonance imaging-based index to predict Crohn's disease (CD) postoperative recurrence (POR). Patients with CD who underwent a postoperative evaluation for recurrence (with colonoscopy and MRI no longer than 105 days apart) were included between 2006 and 2016 in University Hospital of Nancy, France. MRI items with good levels of intra-rater and inter-rater agreement (Gwet's coefficient ≥0.5) were selected. The MRI in Crohn's Disease to Predict Postoperative Recurrence (MONITOR) index's performance was assessed in terms of the area under the receiver operating characteristic curve (AUROC) and accuracy, by considering the Rutgeerts score as the gold standard. The MONITOR index was validated with a bootstrap method and an independent cohort. Seventy-three MRI datasets were interpreted by 2 radiologists. Seven items (bowel wall thickness, contrast enhancement, T2 signal increase, diffusion-weighted signal increase, edema, ulcers, and the length of the diseased segment) had a Gwet's coefficient ≥0.5 and were significantly associated with the Rutgeerts score, leading to their inclusion in the MONITOR index. All the items had a weighting of 1, except the "ulcers" item weighting 2.5, reflecting the higher adjusted odds ratio. The AUROC [95% confidence interval] for the prediction of endoscopic POR (Rutgeerts score >i1) was 0.80 [0.70-0.90]. The optimal threshold was a MONITOR index ≥1, giving a sensitivity of 79%, a specificity of 55%, a predictive positive value of 68%, and a predictive negative value of 68%. The bootstrap validation gave an AUROC of 0.85 [0.73-0.97]. In the validation cohort, a MONITOR index ≥1 gave a sensitivity of 87%, a specificity of 75%, a predictive positive value of 84.6%, and a predictive negative value of 75%. The MONITOR index is an efficient, reliable, easy-to-apply tool that can be used in clinical practice to predict the POR of CD.

Sections du résumé

BACKGROUND & AIMS
We developed and validated a magnetic resonance imaging-based index to predict Crohn's disease (CD) postoperative recurrence (POR).
METHODS
Patients with CD who underwent a postoperative evaluation for recurrence (with colonoscopy and MRI no longer than 105 days apart) were included between 2006 and 2016 in University Hospital of Nancy, France. MRI items with good levels of intra-rater and inter-rater agreement (Gwet's coefficient ≥0.5) were selected. The MRI in Crohn's Disease to Predict Postoperative Recurrence (MONITOR) index's performance was assessed in terms of the area under the receiver operating characteristic curve (AUROC) and accuracy, by considering the Rutgeerts score as the gold standard. The MONITOR index was validated with a bootstrap method and an independent cohort.
RESULTS
Seventy-three MRI datasets were interpreted by 2 radiologists. Seven items (bowel wall thickness, contrast enhancement, T2 signal increase, diffusion-weighted signal increase, edema, ulcers, and the length of the diseased segment) had a Gwet's coefficient ≥0.5 and were significantly associated with the Rutgeerts score, leading to their inclusion in the MONITOR index. All the items had a weighting of 1, except the "ulcers" item weighting 2.5, reflecting the higher adjusted odds ratio. The AUROC [95% confidence interval] for the prediction of endoscopic POR (Rutgeerts score >i1) was 0.80 [0.70-0.90]. The optimal threshold was a MONITOR index ≥1, giving a sensitivity of 79%, a specificity of 55%, a predictive positive value of 68%, and a predictive negative value of 68%. The bootstrap validation gave an AUROC of 0.85 [0.73-0.97]. In the validation cohort, a MONITOR index ≥1 gave a sensitivity of 87%, a specificity of 75%, a predictive positive value of 84.6%, and a predictive negative value of 75%.
CONCLUSIONS
The MONITOR index is an efficient, reliable, easy-to-apply tool that can be used in clinical practice to predict the POR of CD.

Identifiants

pubmed: 34216820
pii: S1542-3565(21)00699-6
doi: 10.1016/j.cgh.2021.06.035
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e1040-e1049

Informations de copyright

Copyright © 2022 AGA Institute. Published by Elsevier Inc. All rights reserved.

Auteurs

Marion Schaefer (M)

Department of Hepatogastroenterology, Nancy University Hospital, Vandoeuvre-lès-Nancy.

Valérie Laurent (V)

Central Department of Radiology, Nancy University Hospital, Vandoeuvre-lès-Nancy.

Aurélie Grandmougin (A)

Central Department of Radiology, Nancy University Hospital, Vandoeuvre-lès-Nancy.

Lucine Vuitton (L)

Department of Gastroenterology, Besançon University Hospital, Besancon.

Arnaud Bourreille (A)

Department of Gastroenterology, Nantes University Hospital, Nantes.

Amandine Luc (A)

Unit of Methodology, Data Management and Statistic, Nancy University Hospital, Vandoeuvre-lès-Nancy.

Isabelle Clerc-Urmes (I)

Unit of Methodology, Data Management and Statistic, Nancy University Hospital, Vandoeuvre-lès-Nancy.

Xavier Orry (X)

Central Department of Radiology, Nancy University Hospital, Vandoeuvre-lès-Nancy.

Eric Frampas (E)

Department of Radiology, Nantes University Hospital, Nantes.

Marjolaine De Billy (M)

Department of Radiology, Besançon University Hospital, Besancon.

Lieven Pouillon (L)

Department of Hepatogastroenterology, Nancy University Hospital, Vandoeuvre-lès-Nancy.

Catherine Le Berre (C)

Department of Gastroenterology, Nantes University Hospital, Nantes.

Claire Gay (C)

Department of Gastroenterology, Besançon University Hospital, Besancon.

Jeremy Meyer (J)

Department of Radiology, Nantes University Hospital, Nantes.

Cédric Baumann (C)

Unit of Methodology, Data Management and Statistic, Nancy University Hospital, Vandoeuvre-lès-Nancy.

Laurent Peyrin-Biroulet (L)

Department of Hepatogastroenterology, Nancy University Hospital, Vandoeuvre-lès-Nancy; INSERM U1256, Nutrition-Génétique et Exposition aux Risques Environnementaux, Faculté de Médecine, Université de Lorraine, Vandoeuvre-les-Nancy, France. Electronic address: peyrinbiroulet@gmail.com.

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