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Prognostic Predicting Model of Pancreatic Body Tail Carcinoma Using Clinical and CT Radiomic Data

Authors :
Peng An MD
Yong Lin PhD
Junyan Zhang MD
Yan Hu MD
Ping Qin MD
Yingjian Ye MD
Xiumei Li PhD
Guoyan Feng PhD
Jinsong Wang PhD
Source :
Technology in Cancer Research & Treatment, Vol 22 (2023)
Publication Year :
2023
Publisher :
SAGE Publishing, 2023.

Abstract

Objective: To collect the clinical, pathological, and computed tomography (CT) data of 143 accepted surgical cases of pancreatic body tail cancer (PBTC) and to model and predict its prognosis. Methods: The clinical, pathological, and CT data of 143 PBTC patients who underwent surgical resection or endoscopic ultrasound biopsy and were pathologically diagnosed in Xiangyang No.1 People's Hospital Hospital from December 2012 to December 2022 were retrospectively analyzed. The Kaplan-Meier method was adopted to make survival curves based on the 1 to 5 years’ follow-up data, and then the log-rank was employed to analyze the survival. According to the median survival of 6 months, the PBTC patients were divided into a group with a good prognosis (survival time ≥ 6 months) and a group with a poor prognosis (survival time

Details

Language :
English
ISSN :
15330338
Volume :
22
Database :
Directory of Open Access Journals
Journal :
Technology in Cancer Research & Treatment
Publication Type :
Academic Journal
Accession number :
edsdoj.2f474c7791b34ff98a2db14154ae889f
Document Type :
article
Full Text :
https://doi.org/10.1177/15330338231186739