Liu W, Yin B, Liang ZH, Yu Y, Lu N. Computed tomography perfusion imaging evaluation of angiogenesis in patients with pancreatic adenocarcinoma. World J Clin Cases 2022; 10(8): 2393-2403 [PMID: 35434057 DOI: 10.12998/wjcc.v10.i8.2393]
Corresponding Author of This Article
Na Lu, Department of Radiology, Huashan Hospital, Fudan University, No. 12 Wulumuqi Middle Road, Jing’an District, Shanghai 200000, China. drluna@126.com
Research Domain of This Article
Radiology, Nuclear Medicine & Medical Imaging
Article-Type of This Article
Retrospective Cohort Study
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 Clin Cases. Mar 16, 2022; 10(8): 2393-2403 Published online Mar 16, 2022. doi: 10.12998/wjcc.v10.i8.2393
Computed tomography perfusion imaging evaluation of angiogenesis in patients with pancreatic adenocarcinoma
Wen Liu, Bo Yin, Zong-Hui Liang, Yang Yu, Na Lu
Wen Liu, Department of Radiology, Jinshan Hospital, Fudan University, Shanghai 201508, China
Bo Yin, Yang Yu, Na Lu, Department of Radiology, Huashan Hospital, Fudan University, Shanghai 200000, China
Bo Yin, Na Lu, Department of Radiology, Huashan Hospital North, Fudan University, Shanghai 200000, China
Zong-Hui Liang, Department of Radiology, Shanghai Jing’an District Central Hospital, Huashan Hospital Jing’an Branch, Fudan University, Shanghai 200000, China
Author contributions: Liu W drafted the manuscript and assisted with data analysis; Yin B and Yu Y participated in the design and oversight of the study, and were involved in data collection; Lu N participated in the design of the study and assisted with data analysis; Liang ZH was involved in data collection and assisted with data analysis; all authors have read and approved the final manuscript.
Supported bythe National Science Foundation of China, No. 81701686; the Science and Technology Commission of Shanghai Municipality, No. 134119b1600; and the Shanghai Natural Science Foundation, No. 18ZR1405700.
Institutional review board statement: This investigation was approved by the Institutional Review Board of Fudan University, Shanghai, China (2014-04-02).
Clinical trial registration statement: Not applicable.
Conflict-of-interest statement: The authors have declared that they have no competing interests.
Data sharing statement: No additional data are available.
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/
Corresponding author: Na Lu, Department of Radiology, Huashan Hospital, Fudan University, No. 12 Wulumuqi Middle Road, Jing’an District, Shanghai 200000, China. drluna@126.com
Received: August 14, 2021 Peer-review started: August 14, 2021 First decision: October 16, 2021 Revised: October 30, 2021 Accepted: February 16, 2022 Article in press: February 16, 2022 Published online: March 16, 2022 Processing time: 208 Days and 16.9 Hours
ARTICLE HIGHLIGHTS
Research background
Pancreatic adenocarcinoma is one of the most common malignant tumors of the digestive system. More than 80% of patients with pancreatic adenocarcinoma are not diagnosed until late stage and have distant or local metastases.
Research motivation
To investigate the value of computed tomography (CT) perfusion imaging in the evaluation of angiogenesis in pancreatic adenocarcinoma patients.
Research objectives
To investigate the value of computed tomography (CT) perfusion imaging in the evaluation of angiogenesis in pancreatic adenocarcinoma patients.
Research methods
This is a retrospective cohort study. Patients with pancreatic adenocarcinoma and volunteers without pancreatic diseases underwent CT perfusion imaging from December 2014 to August 2017 in Huashan Hospital, Fudan University Shanghai, China.
Research results
A total of 35 pancreatic adenocarcinoma patients and 33 volunteers were enrolled. The relative blood flow (rBF), and relative blood volume (rBV) were significantly lower in patients with pancreatic adenocarcinoma than in the control group (P < 0.05). Conversely, the relative permeability in patients with pancreatic adenocarcinoma was significantly higher than that in controls (P < 0.05). In addition, rBF, rBV, and the vascular maturity index (VMI) were significantly lower in grade III-IV pancreatic adenocarcinoma than in grade I-II pancreatic adenocarcinoma (P < 0.05). Vascular endothelial growth factor (VEGF), CD105-MVD, CD34-MVD, and angiogenesis rate (AR) were significantly higher in grade III-IV pancreatic adenocarcinoma than in grade I-II pancreatic adenocarcinoma (P < 0.05). Significant correlations between rBF and VEGF, CD105-MVD, AR, and VMI (P < 0.01) were observed. Moreover, the levels of rBV were statistically significantly correlated with those of VEGF, CD105-MVD, CD34-MVD, and VMI (P < 0.01).
Research conclusions
Perfusion CT imaging may be an appropriate approach for the quantitative assessment of tumor angiogenesis in pancreatic adenocarcinoma.
Research perspectives
Further research on perfusion CT imaging for quantitative assessment of tumor angiogenesis in pancreatic adenocarcinoma is warranted.
