Clinical Applications of Advanced MRI Technologies for Cancers
A special issue of Cancers (ISSN 2072-6694). This special issue belongs to the section "Methods and Technologies Development".
Deadline for manuscript submissions: 15 August 2026 | Viewed by 3
Special Issue Editor
Interests: advanced MRI techniques; multiparametric imaging; quantitative biomarkers; artificial intelligence; cancer diagnosis
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Advanced MRI technologies have revolutionized cancer imaging by enabling the transition from morphological assessment to the comprehensive characterization of the tumor microenvironment, early treatment response monitoring, and personalized medicine approaches. The integration of artificial intelligence (AI) with quantitative MRI techniques is transforming oncological care through improved diagnostic accuracy, treatment planning, and prognostic assessment.
Current challenges in cancer management demand innovative imaging solutions that can non-invasively characterize tumor biology, accurately predict treatment response, and, in real-time, guide therapeutic decisions. Advanced MRI techniques including diffusion-weighted imaging, perfusion MRI, multiparametric approaches, and AI-enhanced analyses have demonstrated significant clinical utility across multiple cancer types, with several now integrated into routine clinical practice through standardized reporting systems like PI-RADS.
The clinical translation of emerging technologies such as radiomics analysis, and machine learning-driven personalized protocols represents the next frontier in precision oncology. These approaches enable molecular-level tumor characterization, prediction of therapeutic response before morphological changes occur, and identification of high-risk patient populations requiring intensive monitoring.
This Special Issue seeks to showcase cutting-edge research demonstrating clinical applications of advanced MRI technologies across all cancer types, with emphasis on validated techniques showing immediate clinical impact, emerging technologies with promising early results, and innovative approaches addressing unmet clinical needs in cancer diagnosis, staging, treatment monitoring, and prognostic assessment.
Sincerely,
Dr. Nicolò Cardobi
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Cancers is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2900 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- advanced MRI techniques
- multiparametric imaging
- quantitative biomarkers
- artificial intelligence
- treatment response assessment
- precision oncology
- radiomics
- cancer diagnosis
- functional imaging
- molecular imaging
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