Image analysis research in neuroradiology: bridging clinical and technical domains.
Purpose: Advancements in magnetic resonance imaging (MRI) analysis over the past decades have significantly reshaped the field of neuroradiology. The ability to extract multiple quantitative measures from each MRI scan, alongside the development of extensive data repositories, has been fundamental t...
| Published in: | Neuroradiology Vol. 67; no. 7; pp. 1649 - 1667 |
|---|---|
| Main Authors: | , , , , , , |
| Format: | diagnostic images pictorial review tables/charts Journal Article |
| Published: |
Springer Nature
Jul2025
|
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=187625128&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 187625128 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00283940 NYZ jtl: Neuroradiology issn: 00283940 maglogo: N pubinfo: dt: Jul2025 vid: 67 iid: 7 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 187625128 185467637 187625128 187625128 10.1007/s00234-025-03633-x 187625128 ppf: 1649 ppct: 18 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Image analysis research in neuroradiology: bridging clinical and technical domains. aug: au: Pareto, Deborah Naval-Baudin, Pablo Pons-Escoda, Albert Bargalló, Núria Garcia-Gil, María Majós, Carlos Rovira, Àlex affil: https://ror.org/03ba28x55 Neuroradiology Section, Radiology Department (IDI), Vall Hebron University Hospital, Psg Vall Hebron 119-129, 08035, Barcelona, Spain sug: subj: Magnetic Resonance Imaging Neuroradiography Image Processing, Computer Assisted Radiomics Artificial Intelligence Research, Radiologic Technology Image Interpretation, Computer Assisted Paradigms Medical Practice Neurologists Radiologists Multidisciplinary Care Team Interprofessional Relations Collaboration Workflow Data Security Privacy and Confidentiality ab: Purpose: Advancements in magnetic resonance imaging (MRI) analysis over the past decades have significantly reshaped the field of neuroradiology. The ability to extract multiple quantitative measures from each MRI scan, alongside the development of extensive data repositories, has been fundamental to the emergence of advanced methodologies such as radiomics and artificial intelligence (AI). This educational review aims to delineate the importance of image analysis, highlight key paradigm shifts, examine their implications, and identify existing constraints that must be addressed to facilitate integration into clinical practice. Particular attention is given to aiding junior neuroradiologists in navigating this complex and evolving landscape. Methods: A comprehensive review of the available analysis toolboxes was conducted, focusing on major technological advancements in MRI analysis, the evolution of data repositories, and the rise of AI and radiomics in neuroradiology. Stakeholders within the field were identified and their roles examined. Additionally, current challenges and barriers to clinical implementation were analyzed. Results: The analysis revealed several pivotal shifts, including the transition from qualitative to quantitative imaging, the central role of large datasets in developing AI tools, and the growing importance of interdisciplinary collaboration. Key stakeholders—including academic institutions, industry partners, regulatory bodies, and clinical practitioners—were identified, each playing a distinct role in advancing the field. However, significant barriers remain, particularly regarding standardization, data sharing, regulatory approval, and integration into clinical workflows. Conclusions: While advancements in MRI analysis offer tremendous potential to enhance neuroradiology practice, realizing this potential requires overcoming technical, regulatory, and practical barriers. Education and structured support for junior neuroradiologists are essential to ensure they are well-equipped to participate in and drive future developments. A coordinated effort among stakeholders is crucial to facilitate the seamless translation of these technological innovations into everyday clinical practice. pubtype: Academic Journal doctype: diagnostic images pictorial review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|