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10/14/2025 7:42:32 AM | Browse: 57 | Download: 183
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Received |
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2025-03-09 10:05 |
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Peer-Review Started |
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2025-03-09 10:05 |
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First Decision by Editorial Office Director |
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2025-04-07 11:47 |
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Return for Revision |
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2025-04-07 11:47 |
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Revised |
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2025-04-16 07:42 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2025-05-26 02:43 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2025-05-26 09:13 |
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Articles in Press |
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2025-05-26 09:13 |
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Edit the Manuscript by Language Editor |
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2025-05-29 10:06 |
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Typeset the Manuscript |
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2025-08-06 03:37 |
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Publish the Manuscript Online |
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2025-10-14 07:42 |
| 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: http://creativecommons.org/licenses/by-nc/4.0/ |
| Copyright |
©The Author(s) 2025. 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 |
Evaluation and prediction of Ki-67 expression in hepatocellular carcinoma
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Sunil V Jagtap |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Sunil V Jagtap, MD, Professor, Department of Pathology, Krishna Vishwa Vidyapeeth (Deemed To Be University), Krishna Institute of Medical Sciences, Karad 415110, Mahārāshtra, India. drsvjagtap@gmail.com |
| Key Words |
Tumor biomarkers; Radiomic; Hepatocellular carcinoma; Prognostic indicator; Ki67 |
| Core Tip |
The incidence and mortality of liver cancer continue to rise. The various screening methods for hepatocellular carcinoma (HCC) are radiomics, serum biomarkers, immunohistochemistry genetic and molecular studies. Ki-67 protein in the nucleus is associated with cell proliferation, which indicate the aggressiveness of tumors. Evaluation and prediction of Ki-67 expression in HCC have now significant role for the diagnosis, treatment, and prognosis. Elevated levels of Ki67 expression is associated with a poor prognosis and higher risk of recurrence in HCC. Recently radiomics-using machine learning-based ultrasomics, has demonstrated the capability to predict Ki-67 expression as a potential noninvasive tool for preoperative assessment in HCC. |
| Publish Date |
2025-10-14 07:42 |
| Citation |
Jagtap SV. Evaluation and prediction of Ki-67 expression in hepatocellular carcinoma. World J Gastrointest Oncol 2025; 17(10): 106529 |
| URL |
https://www.wjgnet.com/1948-5204/full/v17/i10/106529.htm |
| DOI |
https://dx.doi.org/10.4251/wjgo.v17.i10.106529 |
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