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Prognostic Predicting Model of Pancreatic Body Tail Carcinoma Using Clinical and CT Radiomic Data
- 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
- Subjects :
- Neoplasms. Tumors. Oncology. Including cancer and carcinogens
RC254-282
Subjects
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