Radiomics-Based Inter-Lesion Relation Network to Describe [¹⁸F]FMCH PET/CT Imaging Phenotypes in Prostate Cancer.

ABSTRACT: Advanced image analysis, including radiomics, has recently acquired recognition as a source of biomarkers, although there are some technical and methodological challenges to face for its application in the clinic. Among others, proper phenotyping of metastatic or systemic disease where multiple lesions coexist is an issue, since each lesion contributes to characterization of the disease. Therefore, the radiomic profile of each lesion should be modeled into a more complex architecture able to reproduce each "unit" (lesion) as a part of the "entire" (patient). This work aimed to characterize intra-tumor heterogeneity underpinning metastatic prostate cancer using an exhaustive innovative approach which consist of a i) feature transformation method to build an agnostic (i.e., irrespective of p

SUBMITTER: Cavinato L 

PROVIDER: S-EPMC9913254 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature