A systematic review of prognosis predictive role of radiomics in pancreatic cancer: heterogeneity markers or statistical tricks?

• Published in: European radiology Vol. 32; no. 12; pp. 8443 - 8452
• Main Authors: Gao, Yuhan, Cheng, Sihang, Zhu, Liang, Wang, Qin, Deng, Wenyi, Sun, Zhaoyong, Wang, Shitian, Xue, Huadan
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2022; Springer Nature B.V
• Subjects: Accuracy; Adenocarcinoma; Bias; Biomarkers; Carcinoma, Pancreatic Ductal - diagnostic imaging; Datasets; Design; Diagnostic Radiology; Entropy; Feature extraction; Heterogeneity; Humans; Imaging; Internal Medicine; Interventional Radiology; Medical prognosis; Medicine; Medicine & Public Health; Meta-analysis; Neuroradiology; Oncology; Pancreatic cancer; Pancreatic Neoplasms - diagnostic imaging; Prediction models; Prognosis; Prospective Studies; Radiology; Radiomics; Retrospective Studies; Statistical prediction; Survival; Systematic review; Ultrasound; Systematic review; Pancreatic neoplasms; Prognosis

Objectives We aimed to systematically evaluate the prognostic prediction accuracy of radiomics features extracted from pre-treatment imaging in patients with pancreatic ductal adenocarcinoma (PDAC). Methods Radiomics literature on overall survival (OS) prediction of PDAC were all included in this sy...