Prediction of Tumor Control in ⁹⁰Y Radioembolization by Logit Models with PET/CT-Based Dose Metrics.

ABSTRACT: The aim of this work was to develop models for tumor control probability (TCP) in radioembolization with ⁹⁰Y PET/CT-derived radiobiologic dose metrics. Methods: Patients with primary liver cancer or liver metastases who underwent radioembolization with glass microspheres were imaged with ⁹⁰Y PET/CT for voxel-level dosimetry to determine lesion absorbed dose (AD) metrics, biological effective dose (BED) metrics, equivalent uniform dose, and equivalent uniform BED for 28 treatments (89 lesions). The lesion dose-shrinkage correlation was assessed on the basis of RECIST and, when available, modified RECIST (mRECIST) at first follow-up. For a subset with mRECIST, logit regression TCP models were fit via maximum likelihood to relate lesion-level binary response to th

SUBMITTER: Dewaraja YK 

PROVIDER: S-EPMC6954459 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature