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Publication Name World Journal of Gastrointestinal Oncology
Manuscript ID 113879
Country China
Category Radiology, Nuclear Medicine & Medical Imaging
Manuscript Type Retrospective Study
Article Title Neutrophil-albumin ratio and multi-phase computed tomography for lymph node metastasis in pancreatic cancer
Manuscript Source Unsolicited Manuscript
All Author List Huan Wang, Tian-Yu Fu, Fang Zhang, Fei-Chao Kang and Zhong-Wei Sun
Funding Agency and Grant Number
Corresponding Author Zhong-Wei Sun, PhD, Surgery of Vascular and Abdominal Hernia, Affiliated Zhongshan Hospital of Dalian University, No.6 Jiefang Street,Zhongshan District,Dalian City,Liaoning Province, Dalian 116001, Liaoning Province, China. go904013705@163.com
Key Words Neutrophil-albumin ratio; Multiphase enhanced computed tomography image; Pancreatic cancer; Lymph node metastasis; Predictive model
Core Tip For the first time, we integrated systemic inflammation-nutrition indices [neutrophil-albumin ratio (NAR), platelet-albumin ratio (PAR)] with multi-phase computed tomography (CT) radiomics to predict lymph node metastasis of pancreatic cancer. The resulting four-marker model (NAR > 0.13, PAR > 6.35, hemangioma thrombosis, CT-positive nodes) achieved an area under the curve of 0.830, surpassing conventional imaging and offering a cost-free, pre-operative tool for personalized surgical planning and neoadjuvant selection.
Citation Wang H, Fu TY, Zhang F, Kang FC, Sun ZW. Neutrophil-albumin ratio and multi-phase computed tomography for lymph node metastasis in pancreatic cancer. World J Gastrointest Oncol 2025; In press
Received
2025-09-09 09:12
Peer-Review Started
2025-09-09 09:12
To Make the First Decision
Return for Revision
2025-09-26 09:38
Revised
2025-10-11 03:53
Second Decision
2025-11-06 02:48
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief
2025-11-06 08:05
Articles in Press
2025-11-06 08:05
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript
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/
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