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Deciphering Breast Cancer Complexity: A Study on the Predictive Power of MRI Texture Analysis for Tumor Characterization and Treatment Response Cover

Deciphering Breast Cancer Complexity: A Study on the Predictive Power of MRI Texture Analysis for Tumor Characterization and Treatment Response

Journal of the Belgian Society of Radiology
Volume 109 (2025): Issue 1
By: Hamza Eren Güzel,  Alı Murat Koç,  Zehra Hılal Adibellı,  Funda Taşli and  Babak Saravi  
Open Access
|Dec 2025

Authors

Hamza Eren Güzel

hamzaerenguzel@gmail.com

Department of Radiology, İzmir City Hospital, İzmir

Alı Murat Koç

alimuratkoc@gmail.com

Department of Radiology, Atatürk Education and Research Hospital, İzmir Katip Celebi University, İzmir

Zehra Hılal Adibellı

adibellizehra@gmail.com

Department of Radiology, İzmir City Hospital, İzmir

Funda Taşli

fundadr@gmail.com

Department of Pathology, İzmir City Hospital, İzmir

Babak Saravi

babak.saravi@hotmail.de

Department of Oral, Maxillofacial and Facial Plastic Surgery, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Düsseldorf
DOI: https://doi.org/10.5334/jbsr.3913 | Journal eISSN: 2514-8281
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Language: English
Submitted on: Mar 2, 2025
|
Accepted on: Nov 20, 2025
|
Published on: Dec 23, 2025
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
breast cancer,
MRI,
texture,
subtype,
correlation

© 2025 Hamza Eren Güzel, Alı Murat Koç, Zehra Hılal Adibellı, Funda Taşli, Babak Saravi, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.

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