Co-registration with subtraction and color-coding or fusion improves the detection of new and growing lesions on follow-up MRI examination of patients with multiple sclerosis.

Detection Magnetic resonance imaging Multiple sclerosis Post-processing Reproducibility

Journal

Diagnostic and interventional imaging
ISSN: 2211-5684
Titre abrégé: Diagn Interv Imaging
Pays: France
ID NLM: 101568499

Informations de publication

Date de publication:
07 Jun 2023
Historique:
received: 11 04 2023
revised: 15 05 2023
accepted: 23 05 2023
medline: 9 6 2023
pubmed: 9 6 2023
entrez: 8 6 2023
Statut: aheadofprint

Résumé

The purpose of this study was to compare the performance of three magnetic resonance imaging (MRI) reading methods in the follow-up of patients with multiple sclerosis (MS). This retrospective study included patients with MS who underwent two brain follow-up MRI examinations with three-dimensional fluid-attenuated inversion recovery (FLAIR) sequences between September 2016 and December 2019. Two neuroradiology residents independently reviewed FLAIR images using three post-processing methods including conventional reading (CR), co-registration fusion (CF), and co-registration subtraction with color-coding (CS), while being blinded to all data but FLAIR images. The presence and number of new, growing, or shrinking lesions were compared between reading methods. The reading time, reading confidence, and inter- and intra-observer agreements were also assessed. An expert neuroradiologist established the standard of reference. Statistical analyses were corrected for multiple testing. A total of 198 patients with MS were included. There were 130 women and 68 men, with a mean age of 41 ± 12 (standard deviation) years (age range: 21-79 years). Using CS and CF, more patients were detected with new lesions compared to CR (93/198 [47%] and 79/198 [40%] vs. 54/198 [27%], respectively; P < 0.01). The median number of new hyperintense FLAIR lesions detected was significantly greater using CS and CF compared to CR (2 [Q1, Q3: 0, 6] and 1 [Q1, Q3: 0, 3] vs. 0 [Q1, Q3: 0, 1], respectively; P < 0.001). The mean reading time was significantly shorter using CS and CF compared to CR (P < 0.001), with higher confidence in readings and higher inter- and intra-observer agreements. Post-processing tools such as CS and CF substantially improve the accuracy of follow-up MRI examinations in patients with MS while reducing reading time and increasing readers' confidence and reproducibility.

Identifiants

pubmed: 37290977
pii: S2211-5684(23)00117-1
doi: 10.1016/j.diii.2023.05.006
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2023 Société française de radiologie. Published by Elsevier Masson SAS. All rights reserved.

Auteurs

Akim Adoum (A)

Department of Neuroradiology, Hôpital Fondation Adolphe de Rothschild, 25 rue Manin, 75019 Paris, France.

Leila Mazzolo (L)

Department of Neuroradiology, Hôpital Fondation Adolphe de Rothschild, 25 rue Manin, 75019 Paris, France.

Augustin Lecler (A)

Department of Neuroradiology, Hôpital Fondation Adolphe de Rothschild, 25 rue Manin, 75019 Paris, France; Université Paris Cité, 75006 Paris, France.

Jean-Claude Sadik (JC)

Department of Neuroradiology, Hôpital Fondation Adolphe de Rothschild, 25 rue Manin, 75019 Paris, France.

Julien Savatovsky (J)

Department of Neuroradiology, Hôpital Fondation Adolphe de Rothschild, 25 rue Manin, 75019 Paris, France.

Loïc Duron (L)

Department of Neuroradiology, Hôpital Fondation Adolphe de Rothschild, 25 rue Manin, 75019 Paris, France. Electronic address: lduron@for.paris.

Classifications MeSH