Real-World Validation of Coregistration and Structured Reporting for Magnetic Resonance Imaging Monitoring in...

Area of Science:

• Radiology
• Neurology
• Medical Imaging Analysis

Background:

• Multiple sclerosis (MS) monitoring requires accurate and efficient interpretation of sequential magnetic resonance imaging (MRI) scans.
• Evaluating disease progression in MS is crucial for patient management and treatment efficacy.
• The roles of computer-assisted detection reading (CADR) and structured reports in enhancing diagnostic accuracy and workflow efficiency are under investigation.

Purpose of the Study:

• To assess the effectiveness of CADR and structured reports in monitoring patients with MS.
• To evaluate the potential role of radiology technicians in interpreting MS MRI scans.
• To determine the impact of these tools on diagnostic accuracy, interobserver agreement, and interpretation time.

Main Methods:

• Eighty-seven MS patients with at least two follow-up MRI scans were analyzed.
• Disease progression was identified by new T2 fluid-attenuated inversion recovery white matter hyperintensities or contrast enhancements.
• Assessments included qualitative (progression vs. stability) and quantitative (new white matter hyperintensity count) evaluations by radiologists and a technician.

Main Results:

• CADR increased diagnostic accuracy by 11% and improved interobserver consensus on qualitative progression.
• CADR reduced interpretation time by approximately 2 minutes per examination.
• Structured reports did not significantly improve accuracy metrics but may enhance clinical communication, enabling technicians to achieve ~80% accuracy.

Conclusions:

• CADR significantly enhances accuracy, agreement, and interpretation efficiency in MS MRI follow-ups.
• Computer tools empower radiology technicians to become valuable assets in MS patient monitoring.
• Integrating CADR and potentially structured reports can optimize the management of MS patients.