Wang QL, Yang XJ. Correlation of pathological types and imaging features in pancreatic cancer. World J Gastrointest Oncol 2025; 17(8): 102757 [DOI: 10.4251/wjgo.v17.i8.102757]
Corresponding Author of This Article
Xiao-Jun Yang, MD, Associate Professor, Chief Physician, The First Clinical Medical School of Lanzhou University, Lanzhou University, No. 199 Donggang West Road, Chengguan District, Lanzhou 730000, Gansu Province, China. yangxjmd@aliyun.com
Research Domain of This Article
Oncology
Article-Type of This Article
Letter to the Editor
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (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/
World J Gastrointest Oncol. Aug 15, 2025; 17(8): 102757 Published online Aug 15, 2025. doi: 10.4251/wjgo.v17.i8.102757
Correlation of pathological types and imaging features in pancreatic cancer
Qiu-Long Wang, Xiao-Jun Yang
Qiu-Long Wang, Xiao-Jun Yang, The First Clinical Medical School of Lanzhou University, Lanzhou University, Lanzhou 730000, Gansu Province, China
Xiao-Jun Yang, Second Ward of General Surgery, Gansu Province Hospital, Lanzhou 730000, Gansu Province, China
Author contributions: Wang QL and Yang XJ contributed to this paper; Wang QL designed the overall concept and outline of the manuscript; Yang XJ contributed to the discussion and design of the manuscript; Wang QL and Yang XJ contributed to the writing, and editing the manuscript, and review of literature.
Supported by the National Health Commission’s Key Laboratory of Gastrointestinal Tumor Diagnosis and Treatment for The Year 2022, National Health Commission’s Master’s and Doctoral/Postdoctoral Fund Project, No. NHCDP2022001; and Gansu Provincial People’s Hospital Doctoral Supervisor Training Project, No. 22GSSYA-3.
Conflict-of-interest statement: The authors declare that they have no conflict of interest.
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/
Corresponding author: Xiao-Jun Yang, MD, Associate Professor, Chief Physician, The First Clinical Medical School of Lanzhou University, Lanzhou University, No. 199 Donggang West Road, Chengguan District, Lanzhou 730000, Gansu Province, China. yangxjmd@aliyun.com
Received: October 28, 2024 Revised: March 2, 2025 Accepted: March 10, 2025 Published online: August 15, 2025 Processing time: 290 Days and 4.5 Hours
Abstract
The study by Luo et al published in the World Journal of Gastrointestinal Oncology presents a thorough and scientific methodology. Pancreatic cancer is the most challenging malignancy in the digestive system, exhibiting one of the highest mortality rates associated with cancer globally. The delayed onset of symptoms and diagnosis often results in metastasis or local progression of the cancer, thereby constraining treatment options and outcomes. For these patients, prompt tumour identification and treatment strategising are crucial. The present objective of pancreatic cancer research is to examine the correlation between various pathological types and imaging data to facilitate therapeutic decision-making. This study aims to clarify the correlation between diverse pathological markers and imaging in pancreatic cancer patients, with prospective longitudinal studies potentially providing novel insights into the diagnosis and treatment of pancreatic cancer.
Core Tip: This study validates and extends previous findings regarding the imaging characteristics of pancreatic cancer. In a larger cohort, comprehensive imaging assessments using diverse modalities and rigorous statistical analysis facilitate more precise quantification of these features. It aids in the development of more accurate image-based diagnostic algorithms for pancreatic cancer, which can guide treatment decisions and enhance screening and monitoring protocols for high-risk patients.
