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Article

Computed tomography imaging phenotypes of hepatoblastoma identified from radiomics signatures are associated with the efficacy of neoadjuvant chemotherapy.

Pediatric radiology - 1 Jan 2024

Chen Yingqian, Froelich Matthias F, Tharmaseelan Hishan, Jiang Hong, Wang Yuanqi, Li Haitao, Tao Mingyao, Gao Ying, Wang Jifei, Liu Juncheng, Schoenberg Stefan O, Feng Shiting, Weis Meike

Abstract excerpt

BACKGROUND: Though neoadjuvant chemotherapy has been widely used in the treatment of hepatoblastoma, there still lacks an effective way to predict its effect. OBJECTIVE: To characterize hepatoblastoma based on radiomics image features and identify radiomics-based lesion phenotypes by unsupervised machine learning, intended to build a classifier to predict the response to neoadjuvant chemotherapy. MATERIALS AND...

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PMID: 37982901
DOI: 10.1007/s00247-023-05793-5
PMCID: PMC10776468

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