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Articles Published Processes
11/14/2025 12:56:11 AM | Browse: 42 | Download: 55
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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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First Decision by Editorial Office Director |
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2025-04-28 09:00 |
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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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Publication Fee Transferred |
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Second Decision by Editor |
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2025-06-20 02:34 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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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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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2025-11-03 08:08 |
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Publish the Manuscript Online |
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2025-11-14 00:56 |
| 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. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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| 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 |
| 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 |
| ORCID |
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| 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 |
Cancer; Preoperative therapy decision; Tumor microenvironment; Immune markers; Machine learning model; Colorectal 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. |
| Publish Date |
2025-11-14 00:56 |
| Citation |
Kumar S. Artificial intelligence powered radiomics model for the assessment of colorectal tumor immune microenvironment. World J Gastrointest Oncol 2025; 17(11): 108576 |
| URL |
https://www.wjgnet.com/1948-5204/full/v17/i11/108576.htm |
| DOI |
https://dx.doi.org/10.4251/wjgo.v17.i11.108576 |
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