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6/20/2025 7:01:17 AM | Browse: 19 | Download: 0
Publication Name World Journal of Gastrointestinal Oncology
Manuscript ID 108576
Country India
Category Oncology
Manuscript Type Letter to the Editor
Article Title Artificial intelligence powered radiomics model for the assessment of colorectal tumor immune microenvironment
Manuscript Source Invited Manuscript
All Author List Shashank Kumar
Funding Agency and Grant Number
Corresponding Author Shashank Kumar, PhD, Professor, Department of Biochemistry, Central University of Punjab, VPO Ghudda Central University of Punjab Lab no 520, Bathinda 151401, Punjab, India. shashankbiochemau@gmail.com
Key Words Colorectal cancer; Machine learning model; Immune markers; Tumor microenvironment; Preoperative therapy decision; Cancer
Core Tip The present hospital-based retrospective research designed an artificial intelligence- and pathological data-based predictive model to make preoperative immunotherapy decisions in colorectal cancer patients. The study includes a small number of individuals from a single medical center. Study claims deep learning radiomics models based on tumor immune microenvironment assessment for personalized immunotherapy decisions in colorectal cancer patients. The study lacks inclusion and exclusion criteria, particularly the exclusion of patients having other malignancies and prior treatment/immunotherapy status. The analysis should look at the clinicopathological features (age, sex, how well the tumor is differentiated, stage, lymph node status, lymphovascular invasion, and perineural invasion) of patients in both the training and validation groups. These metrics will yield valuable insights for therapeutic practice.
Citation Kumar S. Artificial intelligence powered radiomics model for the assessment of colorectal tumor immune microenvironment. World J Gastrointest Oncol 2025; In press
Received
2025-04-18 05:03
Peer-Review Started
2025-04-18 05:03
To Make the First Decision
Return for Revision
2025-04-28 09:00
Revised
2025-05-08 07:59
Second Decision
2025-06-20 02:34
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief
2025-06-20 07:01
Articles in Press
2025-06-20 07:01
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript
ISSN 1948-5204 (online)
Open Access This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
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