Intratumoral and peritumoral radiomics for forecasting microsatellite status in gastric cancer: a multicenter study

• Published in: BMC cancer Vol. 25; no. 1; pp. 66 - 13
• Main Authors: Xiao, Yunzhou, Zhu, Jianping, Xie, Huanhuan, Wang, Zhongchu, Huang, Zhaohai, Su, Miaoguang
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 11.01.2025; BioMed Central; BMC
• Subjects: Adjuvants; Adult; Aged; Antigens; Biopsy; Cancer therapies; Complications and side effects; Computed tomography; Correlation analysis; Diagnostic imaging; Female; Gastric cancer; Genetic aspects; Health aspects; Hemoglobin; Hospitals; Humans; Machine Learning; Male; Medical imaging; Medical prognosis; Metastasis; Microsatellite Instability; Middle Aged; Patients; Peritumoral; Prognosis; Radiomics; Regression analysis; Retrospective Studies; ROC Curve; Scanners; Stomach cancer; Stomach Neoplasms - diagnostic imaging; Stomach Neoplasms - genetics; Stomach Neoplasms - pathology; Support Vector Machine; Surgery; Tomography, X-Ray Computed - methods; Tumors; China; Peritumoral; Microsatellite instability; Gastric cancer; Machine learning; Radiomics

This investigation attempted to examine the effectiveness of CT-derived peritumoral and intratumoral radiomics in forecasting microsatellite instability (MSI) status preoperatively among gastric cancer (GC) patients. A retrospective analysis was performed on GC patients from February 2019 to Decembe...