Skip to Main Content (Press Enter)

Logo UNISR
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills

UNIFIND
Logo UNISR

|

UNIFIND

unisr.it
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills
  1. Outputs

User requirements for quantitative radiological reports in multiple sclerosis

Academic Article
Publication Date:
2025
Short description:
User requirements for quantitative radiological reports in multiple sclerosis / Van Nederpelt, D.R., Mendelsohn, Z.C., Bos, L., Mattiesing, R.M., Ciccarelli, O., Sastre-Garriga, J., Carrasco, F.P., Kuijer, J.P.A., Vrenken, H., Killestein, J., Schoonheim, M.M., Moraal, B., Yousry, T., Pontillo, G., Rovira, À., Strijbis, E.M.M., Jasperse, B., Frederik, B., Filippi, M., Rocca, M.A.. - In: EUROPEAN RADIOLOGY. - ISSN 1432-1084. - 35:10(2025), pp. 5967-5978. [10.1007/s00330-025-11544-x]
abstract:
ObjectivesQuantitative 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 methodsA 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.ResultsThe 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.ConclusionWhile 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 PointsQuestionA lack of consensus on essential features for quantitative magnetic resonance imaging reports limits their integration into multiple sclerosis management.FindingsThis study identified key preferences, including detailed lesion information, specific brain and spinal cord measurements, and rigorous validation for effective quantitative reports.Clinical relevanceThis 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.Key PointsQuestionA lack of consensus on essential features for quantitative magnetic resonance imaging reports limits their integration into multiple sclerosis management.FindingsThis study identified key preferences, including detailed lesion information, specific brain and spinal cord measurements, and rigorous validation for effective quantitative reports.Clinical relevanceThis 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.Key PointsQuestionA lack of consensus on essential features for quantitative magnetic resonance imaging reports limits their integration into multiple sclerosis management.FindingsThis study identified key preferences, including detailed lesion information, specific brain and spinal cord measurements, and rigorous validation for effective quantitative reports.Clinical relevanceThis study identified essential features and barriers for implementing quantitative radiological
Iris type:
1.1 Articolo in rivista
List of contributors:
Van Nederpelt, David R.; Mendelsohn, Zoe C.; Bos, Lonneke; Mattiesing, Rozemarijn M.; Ciccarelli, Olga; Sastre-Garriga, Jaume; Carrasco, Ferran Prados; Kuijer, Joost P. A.; Vrenken, Hugo; Killestein, Joep; Schoonheim, Menno M.; Moraal, Bastiaan; Yousry, Tarek; Pontillo, Giuseppe; Rovira, Àlex; Strijbis, Eva M. M.; Jasperse, Bas; Frederik, Barkhof; Filippi, Massimo; Rocca, Maria A.
Authors of the University:
FILIPPI MASSIMO
ROCCA MARIA ASSUNTA
Handle:
https://iris.unisr.it/handle/20.500.11768/182336
Full Text:
https://iris.unisr.it//retrieve/handle/20.500.11768/182336/333170/Eur%20Radiol%2035(10)_5967.pdf
Published in:
EUROPEAN RADIOLOGY
Journal
  • Overview

Overview

URL

https://link.springer.com/article/10.1007/s00330-025-11544-x
  • Use of cookies

Powered by VIVO | Designed by Cineca | 26.9.2.0