Purpose: Postsustained virologic response (SVR) screening following clinical guidelines does not address individual risk of hepatocellular carcinoma (HCC). Our aim is to provide tailored screening for patients using machine learning to predict HCC incidence after SVR.
Methods: Using clinical data from 1,028 SVR patients, we developed an HCC prediction model using a random survival forest (RSF).
Mismatch repair (MMR) deficiency can be indicative of Lynch syndrome (LS) and guide treatment with immune checkpoint inhibitors. Colorectal cancers (CRCs) and endometrial cancers (ECs) are routinely screened to identify LS, primarily using immunohistochemistry (IHC) or microsatellite instability (MSI) testing, but concordance between these methods is variable in ECs. Here, we investigate this variability in 361 ECs from the Ohio OCCPI/OPTEC ( = 196) and Manchester PETALS ( = 165) trials, where concordance between assays differed significantly.
View Article and Find Full Text PDFJ Am Acad Orthop Surg
December 2024