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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 - 29/10/23

Doi : 10.1016/j.diii.2023.05.006 
Akim Adoum a, Leila Mazzolo a, Augustin Lecler a, b, Jean-Claude Sadik a, Julien Savatovsky a, Loïc Duron a,
a Department of Neuroradiology, Hôpital Fondation Adolphe de Rothschild, 25 rue Manin, 75019 Paris, France 
b Université Paris Cité, 75006 Paris, France 

Corresponding author:

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Highlights

Post-processing methods such as co-registration fusion and co-registration subtraction with color-coding significantly improve the accuracy of follow-up with MRI in patients with multiple sclerosis.
These innovative methods enhance the detection of new, growing, or shrinking lesions in MRI follow-up examinations while reducing MRI reading time and increasing radiologists’ confidence and reproducibility.
The use of these clinically available tools can lead to earlier detection of multiple sclerosis activity with MRI, ultimately improving patient outcomes.

El texto completo de este artículo está disponible en PDF.

Abstract

Purpose

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).

Materials and methods

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.

Results

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.

Conclusion

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.

El texto completo de este artículo está disponible en PDF.

Keywords : Magnetic resonance imaging, Multiple sclerosis, Post-processing, Detection, Reproducibility

Abbreviations : 3D, CF, CR, CS, MRI, MS, PACS, CI, ICC, SD, OR


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© 2023  Société française de radiologie. Publicado por Elsevier Masson SAS. Todos los derechos reservados.
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Vol 104 - N° 11

P. 529-537 - novembre 2023 Regresar al número
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