A radiomics nomogram model for predicting prognosis of pancreatic ductal adenocarcinoma after high-intensity focused ultrasound surgery

Autor: Changjie Shao, Juntao Zhang, Jing Guo, Liang Zhang, Yuhan Zhang, Leiyuan Ma, Chuanxin Gong, Yaqi Tian, Jingjing Chen, Ning Yu
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: International Journal of Hyperthermia, Vol 40, Iss 1 (2023)
Druh dokumentu: article
ISSN: 02656736
1464-5157
0265-6736
DOI: 10.1080/02656736.2023.2184397
Popis: AbstractObjective To develop and validate a radiomics nomogram for predicting the survival of patients with pancreatic ductal adenocarcinoma (PDAC) after receiving high-intensity focused ultrasound (HIFU) treatment.Methods A total of 52 patients with PDAC were enrolled. To select features, the least absolute shrinkage and selection operator algorithm were applied, and the radiomics score (Rad-Score) was obtained. Radiomics model, clinics model, and radiomics nomogram model were constructed by multivariate regression analysis. The identification, calibration, and clinical application of nomogram were evaluated. Survival analysis was performed using Kaplan–Meier (K–M) method.Results According to conclusions made from the multivariate Cox model, Rad-Score, and tumor size were independent risk factors for OS. Compared with the clinical model and radiomics model, the combination of Rad-Score and clinicopathological factors could better predict the survival of patients. Patients were divided into high-risk and low-risk groups according to Rad-Score. K–M analysis showed that the difference between the two groups was statistically significant (p
Databáze: Directory of Open Access Journals
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