Institut Català de la Salut
[van Nederpelt DR, Bos L, Mattiesing RM] MS Center Amsterdam, Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam UMC location VUmc, Amsterdam, The Netherlands. [Mendelsohn ZC] Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, London, UK. Department of Radiology, Charité School of Medicine and University Hospital Berlin, Berlin, Germany. [Ciccarelli O] Department of Neuroinflammation, Queen Square MS Centre, UCL Queen Square Institute of Neurology, Faculty of Brain Science, University College of London, London, UK. NIHR University College London Hospitals Biomedical Research Centre, London, UK. [Sastre-Garriga J, Strijbis EMM] Servei de Neurologia-Neuroimmunologia, Centre d’Esclerosi Múltiple de Catalunya (CEMCAT), Barcelona, Spain. Vall d’Hebron Hospital Universitari, Barcelona, Spain. [Rovira À] Secció de Neuroradiologia, Servei de Radiodiagnòstic, Vall d’Hebron Hospital Universitari, Barcelona, Spain. Universitat Autònoma de Barcelona, Bellaterra, Spain
Vall d'Hebron Barcelona Hospital Campus
2025-10-15T09:52:52Z
2025-10-15T09:52:52Z
2025-10
Consensus; Magnetic resonance imaging; Multiple sclerosis
Consenso; Resonancia magnética; Esclerosis múltiple
Consens; Ressonància magnètica; Esclerosi múltiple
Objectives Quantitative radiological reports (QReports) can enhance clinical management of multiple sclerosis (MS) by including quantitative data from MRI scans. However, the lack of consensus on the specific information to include, on and clinicians’ preferences, hinders the adoption of these imaging analysis tools. This study aims to facilitate the clinical implementation of QReports by determining clinicians’ requirements regarding their use in MS management. Materials and methods A four-phase Delphi panel approach was employed, involving neurologists and (neuro)radiologists across Europe. Initial interviews with experts helped develop a questionnaire addressing various QReport aspects. This questionnaire underwent refinement based on feedback and was distributed through the MAGNIMS network. A second questionnaire, incorporating additional questions, was circulated following a plenary discussion at the MAGNIMS workshop in Milan in November 2023. Responses from both questionnaire iterations were collected and analyzed, with adjustments made based on participant feedback. Results The study achieved a 49.6% response rate, involving 78 respondents. Key preferences and barriers to QReport adoption were identified, highlighting the importance of integration into clinical workflows, cost-effectiveness, educational support for interpretation, and validation standards. Strong consensus emerged on including detailed lesion information and specific brain and spinal cord volume measurements. Concerns regarding report generation time, data protection, and reliability were also raised. Conclusion While QReports show potential for improving MS management, incorporation of the key metrics and addressing the identified barriers related to cost, validation, integration, and clinician education is crucial for practical implementation. These recommendations for developers to refine QReports could enhance their utility and adoption in clinical practice. Key Points Question A lack of consensus on essential features for quantitative magnetic resonance imaging reports limits their integration into multiple sclerosis management. Findings This study identified key preferences, including detailed lesion information, specific brain and spinal cord measurements, and rigorous validation for effective quantitative reports. Clinical relevance This study identified essential features and barriers for implementing quantitative radiological reports in multiple sclerosis management, aiming to enhance clinical workflows, improve disease monitoring, and ultimately provide better, data-driven care for patients through tailored imaging solutions.
This study has received funding from Health~Holland (LSHM19053) dr. ir. Hugo Vrenken ZonMw (446002506).
Artículo
Versión publicada
Inglés
Qüestionaris; Mètode Delphi; Esclerosi múltiple - Imatgeria per ressonància magnètica; ANALYTICAL, DIAGNOSTIC AND THERAPEUTIC TECHNIQUES, AND EQUIPMENT::Investigative Techniques::Epidemiologic Methods::Data Collection::Surveys and Questionnaires; INFORMATION SCIENCE::Information Science::Systems Analysis::Delphi Technique; ANALYTICAL, DIAGNOSTIC AND THERAPEUTIC TECHNIQUES, AND EQUIPMENT::Diagnosis::Diagnostic Techniques and Procedures::Diagnostic Imaging::Tomography::Magnetic Resonance Imaging; DISEASES::Nervous System Diseases::Autoimmune Diseases of the Nervous System::Demyelinating Autoimmune Diseases, CNS::Multiple Sclerosis; TÉCNICAS Y EQUIPOS ANALÍTICOS, DIAGNÓSTICOS Y TERAPÉUTICOS::técnicas de investigación::métodos epidemiológicos::recopilación de datos::encuestas y cuestionarios; CIENCIA DE LA INFORMACIÓN::Ciencias de la información::análisis de sistemas::técnica Delfos; TÉCNICAS Y EQUIPOS ANALÍTICOS, DIAGNÓSTICOS Y TERAPÉUTICOS::diagnóstico::técnicas y procedimientos diagnósticos::diagnóstico por imagen::tomografía::imagen por resonancia magnética; ENFERMEDADES::enfermedades del sistema nervioso::enfermedades autoinmunitarias del sistema nervioso::enfermedades autoinmunes desmielinizantes del SNC::esclerosis múltiple
Springer
European Radiology;35
https://doi.org/10.1007/s00330-025-11544-x
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
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