Publication Name	World Journal of Radiology
Manuscript ID	110048
Country	China

Received	2025-05-28 09:51
Peer-Review Started	2025-05-28 09:51
To Make the First Decision
Return for Revision	2025-06-06 03:35
Revised	2025-06-09 10:16
Second Decision	2025-07-10 02:44
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2025-07-10 07:35
Articles in Press	2025-07-10 07:35
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript	2025-07-22 03:05
Publish the Manuscript Online	2025-07-25 09:11

ISSN	1949-8470 (online)
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Category	Gastroenterology & Hepatology
Manuscript Type	Editorial
Article Title	Radiomics for preoperative pancreatic ductal adenocarcinoma risk stratification: Cross-population validation, multidimensional integration, challenges, and future directions
Manuscript Source	Invited Manuscript
All Author List	Qin-Zhi Liu, Lei Zeng and Nian-Zhe Sun
Funding Agency and Grant Number
Corresponding Author	Nian-Zhe Sun, MD, National Clinical Research Center of Geriatric Disorders, Department of Orthopedics, Xiangya Hospital, Central South University, No. 87 Xiangya Road, Kaifu District, Changsha 410008, Hunan Province, China. sunnzh201921@sina.com
Key Words	Pancreatic ductal adenocarcinoma; Postoperative recurrence; Risk assessment system; Preoperative assessment; Radiomics
Core Tip	This editorial critically evaluated the retrospective study by Liu et al in validating a preoperative computed tomography-based risk scoring system, while high-lighting the potential of radiomics integrated with machine learning for multimodal data analysis. However, clinical translation continues to face significant challenges, including heterogeneity in imaging parameters, incomplete elucidation of molecular mechanisms, and confounding effects of therapeutic interventions. Future research should prioritize the development of multidimensional predictive frameworks that synergize radiological, molecular, and clinical data. Prospective clinical trials to validate model efficacy and artificial intelligence-driven real-time risk stratification systems represent critical initiatives to overcome current limitations in precision medicine implementation, thereby advancing personalized management strategies for pancreatic ductal adenocarcinoma.
Publish Date	2025-07-25 09:11
Citation	<p>Liu QZ, Zeng L, Sun NZ. Radiomics for preoperative pancreatic ductal adenocarcinoma risk stratification: Cross-population validation, multidimensional integration, challenges, and future directions. <i>World J Radiol</i> 2025; 17(7): 110048</p>
URL	https://www.wjgnet.com/1949-8470/full/v17/i7/110048.htm
DOI	https://dx.doi.org/10.4329/wjr.v17.i7.110048

Full Article (PDF)	WJR-17-110048-with-cover.pdf
Manuscript File	110048_Auto_Edited_014321.docx
Answering Reviewers	110048-answering-reviewers.pdf
Audio Core Tip	110048-audio.m4a
Conflict-of-Interest Disclosure Form	110048-conflict-of-interest-statement.pdf
Copyright License Agreement	110048-copyright-assignment.pdf
Non-Native Speakers of English Editing Certificate	110048-non-native-speakers.pdf
Peer-review Report	110048-peer-reviews.pdf
Scientific Misconduct Check	110048-scientific-misconduct-check.png
Scientific Editor Work List	110048-scientific-editor-work-list.pdf
CrossCheck Report	110048-crosscheck-report.pdf