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Articles Published Processes
7/14/2025 12:55:50 PM | Browse: 9 | Download: 25
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Received |
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2024-11-14 11:19 |
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Peer-Review Started |
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2024-11-14 11:19 |
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To Make the First Decision |
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Return for Revision |
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2025-02-26 07:40 |
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Revised |
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2025-02-27 13:01 |
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Second Decision |
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2025-03-06 02:35 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2025-03-06 06:59 |
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Articles in Press |
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2025-03-06 06:59 |
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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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2025-03-27 08:54 |
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Publish the Manuscript Online |
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2025-07-14 12:55 |
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) 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 |
Imaging-pathology correlation in pancreatic cancer: Methodological considerations and future directions
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Manuscript Source |
Invited Manuscript |
All Author List |
Arunkumar Krishnan |
ORCID |
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Funding Agency and Grant Number |
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Corresponding Author |
Arunkumar Krishnan, Assistant Professor, MD, Department of Supportive Oncology, Atrium Health Levine Cancer, 1021 Morehead Medical Drive, Suite 70100, Charlotte, NC 28204, United States. dr.arunkumar.krishnan@gmail.com |
Key Words |
Pancreatic cancer; Imaging; Pathology; Computed tomography; Artificial intelligence; Magnetic resonance imaging; Endoscopic ultrasound; Diagnostic accuracy |
Core Tip |
A study by Luo YG et al.. examined the relationship between different pathological types of pancreatic cancer (PC) and their corresponding imaging features. This present study showed an advancement in improving the diagnostic accuracy for PC. However, to further improve the robustness and applicability of the findings, it is important to adopt a multi-center, prospective research design. Such an approach would provide better generalizability and representation among diverse patient populations. Additionally, integrating advanced imaging techniques, including radiomics and artificial intelligence-driven analyses, could significantly mitigate inconsistencies among different observers, thereby elevating the precision of diagnostics. While the findings are promising, future research would greatly benefit from using multivariable analyses and strategies to address missing data, which would help control for potential confounding factors, thus reinforcing the credibility of imaging-pathology correlations. Moreover, establishing external validation cohorts is important for verifying the predictive capabilities of these findings across various clinical settings and diverse patient demographics. |
Publish Date |
2025-07-14 12:55 |
Citation |
<p>Krishnan A. Imaging-pathology correlation in pancreatic cancer: Methodological considerations and future directions. <i>World J Gastrointest Oncol</i> 2025; 17(7): 103282</p> |
URL |
https://www.wjgnet.com/1948-5204/full/v17/i7/103282.htm |
DOI |
https://dx.doi.org/10.4251/wjgo.v17.i7.103282 |
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