Reproducing RECIST lesion selection via machine learning: Insights into intra and inter-radiologist variation

Reproducing RECIST lesion selection via machine learning: Insights into intra and inter-radiologist variation

Background: The Response Evaluation Criteria in Solid Tumors (RECIST) aims to provide a standardized approach to assess treatment response in solid tumors. However, discrepancies in the selection of measurable and target lesions among radiologists using these criteria pose a significant limitation t...

Full description

Bibliographic Details
Main Authors: Teresa M. Tareco Bucho, Liliana Petrychenko, Mohamed A. Abdelatty, Nino Bogveradze, Zuhir Bodalal, Regina G.H. Beets-Tan, Stefano Trebeschi
Format: Article
Language:English
Published: Elsevier 2024-06-01
Series:European Journal of Radiology Open
Subjects:
RECIST
Cancer imaging
Machine learning
Variability
Reproducibility
Online Access:http://www.sciencedirect.com/science/article/pii/S2352047724000170

Internet

http://www.sciencedirect.com/science/article/pii/S2352047724000170

Similar Items