1. A radiomics nomogram for predicting transcatheter arterial chemoembolization refractoriness of hepatocellular carcinoma without extrahepatic metastasis or macrovascular invasion
- Author
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Sun Young Choi, Heesoon Sheen, Jeong Kyong Lee, Seung Yon Baek, Jin Sil Kim, and Jung Young Kim
- Subjects
medicine.medical_specialty ,Carcinoma, Hepatocellular ,Refractory period ,Urology ,030218 nuclear medicine & medical imaging ,03 medical and health sciences ,0302 clinical medicine ,Lasso regression ,Radiomics ,medicine ,Humans ,Radiology, Nuclear Medicine and imaging ,Chemoembolization, Therapeutic ,Transcatheter arterial chemoembolization ,Training set ,Radiological and Ultrasound Technology ,business.industry ,Liver Neoplasms ,Gastroenterology ,Nomogram ,medicine.disease ,Nomograms ,030220 oncology & carcinogenesis ,Hepatocellular carcinoma ,Extrahepatic metastasis ,Radiology ,Tomography, X-Ray Computed ,business - Abstract
A radiomics nomogram for pretreatment prediction of TACE refractoriness was developed and validated for hepatocellular carcinoma (HCC) without extrahepatic metastasis or macrovascular invasion. This study included 80 patients with HCC without extrahepatic metastasis or macrovascular involvement treated with TACE between July 2016 and November 2018. The datasets were divided into a training set (80%) and a test set (20%) for feature selection and tenfold cross-validation. Forty radiomic features were extracted from arterial-phase computed tomography (CT) using the Local Image Features Extraction software. The Lasso regression model was used for radiomics signature selection. The Lasso regression model was used for radiomics signature selection and the selected signatures were validated using the Mann–Whitney U-test. The radiomics nomogram was developed based on a multivariate logistic regression model incorporating the Rad-score, CT imaging factors, and clinical factors, and it was validated. The Rad-score, which consists of the Gray-Level Zone Length Matrix (GLZLM)—Long-Zone Low Gray-Level Emphasis (LZLGE) and GLZLM—Gray-Level Non-Uniformity (GLNU), T-stage, log α-fetoprotein (AFP), and bilobar distribution were significantly associated with TACE refractoriness (p
- Published
- 2021
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