Radiomic Biomarkers Predict Response in Lung and Liver Uveal Melanoma Metastases
Source: OncLive, November 2024
Radiomic biomarkers can be leveraged to predict treatment response through assessments of tumor growth in patients with metastatic uveal melanoma treated with roginolisib (IOA-244), according to findings from a study that were presented at the 2024 SITC Annual Meeting.
“Radiomic feature analysis, complementary to volumetric analyses, demonstrates considerable promise for early-stage drug development by providing additional objective measures of treatment response,” lead study author Nikhil Sindhwani, PhD, of Radiomics.bio in Liège, Belgium, and coauthors, wrote in a poster of the findings.
A Project Optimus–Informed Study Rationale
The authors explained that the assessment of tumor response to treatment has traditionally been conducted via RECIST criteria. However, RECIST criteria have several limitations, including selective lesion assessment, operator dependence, and one-dimensional measurements. Therefore, the oncology field needs more sophisticated methods for evaluating tumor response, especially in early-phase clinical trials and the management of metastatic disease.