MRI in multiple sclerosis follow-up: does the BartsMS experience support the case for AI assistance?

<h3>Introduction</h3> The 2021 magnetic resonance imaging in MS (MAGNIMS) guidance offers benchmarks for MRI in people with multiple sclerosis (pwMS) on disease- modifying treatment (DMT). The MS service at Barts Health NHS Trust (BartsMS) has adopted an amended version of this guidance, with extended timelines following the COVID pandemic. <h3>Aims</h3> To review MRI monitoring of pwMS at BartsMS. To inform sample size in ‘AssistMS’, a multicenter project testing artificial intelligence (AI) supported MRI reading in pwMS. <h3>Methods</h3> Demographics, timelines, reports and multi-disciplinary team (MDT) decisions were reviewed October-December 2022. Patients were identified via PACS. <h3>Results</h3> 189 pwMS undergoing MRI were identified. 160/189 datasets were obtained for DMT follow-up. Mean time from request to MRI 104 days (range 0- 371); mean time since previous scan 595 days (9-2834); mean time for reporting 52 days (0-312). Of 25 pwMS discussed at MDT, mean time from acquisition to MDT was 84 days (11-331). MRI changes alone led to DMT changes in 9.5% (18/189). <h3>Conclusion</h3> Whilst MRI scans were obtained within recommended timelines, significant variation, and delays in reporting and MDT decisions, were observed. Backlogs due to shortage of neuroradiological expertise may be eased by employing AI-supported MRI registration and analysis.

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Published
2024-11-01
DOI
https://doi.org/10.1136/jnnp-2024-abn.11
Primary Topic
Artificial Intelligence in Healthcare and Education
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article
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article

MRI in multiple sclerosis follow-up: does the BartsMS experience support the case for AI assistance?

Mathews Joela, Angela M. Bader, Phyo Phyo San, J Herbert Timothy et al.
Artificial Intelligence in Healthcare and Education
article

MRI in multiple sclerosis follow-up: does the BartsMS experience support the case for AI assistance?

Mathews Joela, Angela M. Bader, Phyo Phyo San, J Herbert Timothy, Klaus Schmierer, L. P. David, Mandal Arnab, Mihaylova Borislava
article en

Abstract

<h3>Introduction</h3> The 2021 magnetic resonance imaging in MS (MAGNIMS) guidance offers benchmarks for MRI in people with multiple sclerosis (pwMS) on disease- modifying treatment (DMT). The MS service at Barts Health NHS Trust (BartsMS) has adopted an amended version of this guidance, with extended timelines following the COVID pandemic. <h3>Aims</h3> To review MRI monitoring of pwMS at BartsMS. To inform sample size in ‘AssistMS’, a multicenter project testing artificial intelligence (AI) supported MRI reading in pwMS. <h3>Methods</h3> Demographics, timelines, reports and multi-disciplinary team (MDT) decisions were reviewed October-December 2022. Patients were identified via PACS. <h3>Results</h3> 189 pwMS undergoing MRI were identified. 160/189 datasets were obtained for DMT follow-up. Mean time from request to MRI 104 days (range 0- 371); mean time since previous scan 595 days (9-2834); mean time for reporting 52 days (0-312). Of 25 pwMS discussed at MDT, mean time from acquisition to MDT was 84 days (11-331). MRI changes alone led to DMT changes in 9.5% (18/189). <h3>Conclusion</h3> Whilst MRI scans were obtained within recommended timelines, significant variation, and delays in reporting and MDT decisions, were observed. Backlogs due to shortage of neuroradiological expertise may be eased by employing AI-supported MRI registration and analysis.

Queen Mary University of London (GB), Barts Health NHS Trust (GB), Royal London Hospital (GB)
Good health and well-being
Openalex Percentile: Top 85%
Artificial Intelligence in Healthcare and Education
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MRI in multiple sclerosis follow-up: does the BartsMS experience support the case for AI assistance? — Mathews Joela, Angela M. Bader, et al. · (2024) | TGRS Research Map | TGRS