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Dataset Information

Tumor response prediction in 90Y radioembolization with PET-based radiomics features and absorbed dose metrics.


ABSTRACT:

Purpose

To evaluate whether lesion radiomics features and absorbed dose metrics extracted from post-therapy 90Y PET can be integrated to better predict outcomes in microsphere radioembolization of liver malignancies METHODS: Given the noisy nature of 90Y PET, first, a liver phantom study with repeated acquisitions and varying reconstruction parameters was used to identify a subset of robust radiomics features for the patient analysis. In 36 radioembolization procedures, 90Y PET/CT was performed within a couple of hours to extract 46 radiomics features and estimate absorbed dose in 105 primary and metastatic liver lesions. Robust radiomics modeling was based on bootstrapped multivariate logistic regression with shrinkage regularization (LASSO) and Co

SUBMITTER: Wei L 

PROVIDER: S-EPMC7726084 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature