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Articles in Press
6/20/2025 7:01:17 AM | Browse: 19 | Download: 0
Category |
Oncology |
Manuscript Type |
Letter to the Editor |
Article Title |
Artificial intelligence powered radiomics model for the assessment of colorectal tumor immune microenvironment
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Manuscript Source |
Invited Manuscript |
All Author List |
Shashank Kumar |
Funding Agency and Grant Number |
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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 |
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Received |
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2025-04-18 05:03 |
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Peer-Review Started |
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2025-04-18 05:03 |
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To Make the First Decision |
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Return for Revision |
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2025-04-28 09:00 |
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Revised |
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2025-05-08 07:59 |
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Second Decision |
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2025-06-20 02:34 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2025-06-20 07:01 |
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Articles in Press |
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2025-06-20 07:01 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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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/ |
Copyright |
© The Author(s) 2024. Published by Baishideng Publishing Group Inc. All rights reserved. |
Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
Website |
http://www.wjgnet.com |
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