Radiomics analysis of ultrasound to predict recurrence of hepatocellular carcinoma after microwave ablation

CONCLUSION: We developed and validated a radiomics model to predict HCC recurrence and HCC differentiation, which could also acquire pathological information in a noninvasive manner.KEY RESULTSA hepatocellular carcinoma (HCC) prognostic prediction model was developed and validated by convolutional neural network (CNN) ResNet 18-based gray-scale ultrasound (US).A differentiation of HCC prediction model was developed for preoperative prediction avoiding invasive operation.Compared with Pyradiomics, CNN ResNet was more suitable for extracting information from US images.PMID:35435082 | DOI:10.1080/02656736.2022.2062463

Source: International Journal of Hyperthermia - April 18, 2022 Category: Internal Medicine Authors: Jia-Peng Wu Wen-Zhen Ding Yu-Ling Wang Sisi Liu Xiao-Qian Zhang Qi Yang Wen-Jia Cai Xiao-Ling Yu Fang-Yi Liu Dexing Kong Hui Zhong Jie Yu Ping Liang Source Type: research