Preoperative MRI radiomic analysis for predicting local tumor progression in colorectal liver metastases before microwave ablation
Purpose Radiomics may aid in predicting prognosis in patients with colorectal liver metastases (CLM). Consistent data is available on CT, yet limited data is available on MRI. This study assesses the capability of MRI-derived radiomic features (RFs) to predict local tumor progression-free survival (...
Saved in:
Main Authors: | Angelo Della Corte, Martina Mori, Francesca Calabrese, Diego Palumbo, Francesca Ratti, Gabriele Palazzo, Alessandro Pellegrini, Domenico Santangelo, Monica Ronzoni, Emiliano Spezi, Antonella Del Vecchio, Claudio Fiorino, Luca Aldrighetti, Francesco De Cobelli |
---|---|
Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2024-12-01
|
Series: | International Journal of Hyperthermia |
Subjects: | |
Online Access: | https://www.tandfonline.com/doi/10.1080/02656736.2024.2349059 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Preoperative prediction of pituitary neuroendocrine tumor invasion using multiparametric MRI radiomics
by: Qiuyuan Yang, et al.
Published: (2025-01-01) -
Comment on “The Goal of Intraoperative Blood Loss in Major Hepatectomy Resection for Perihilar Cholangiocarcinoma Saving Patients From a Heavy Complication Burden”
by: Francesca Ratti, MD, et al.
Published: (2024-03-01) -
Radiomics-based Machine Learning Approach to Predict Chemotherapy Responses in Colorectal Liver Metastases
by: Yuji Miyamoto, et al.
Published: (2025-01-01) -
Utilizing machine-learning techniques on MRI radiomics to identify primary tumors in brain metastases
by: W. L. Yang, et al.
Published: (2025-01-01) -
Predicting local control of brain metastases after stereotactic radiotherapy with clinical, radiomics and deep learning features
by: Hemalatha Kanakarajan, et al.
Published: (2024-12-01)