Anatomic pathology selected abstracts
June 2023—The authors conducted a study to examine whether quantitative digital pathology can derive valuable information from readily available and inexpensive H&E slides and thereby augment routine pathologic reporting of colorectal carcinoma. They applied a quantitative segmentation algorithm (QuantCRC) to 6,468 digitized H&E slides of colorectal carcinoma (CRC). Fifteen parameters from each image were recorded and tested for associations with clinicopathologic features and molecular alterations. A prognostic model was developed to predict recurrence-free survival using data from the internal cohort (n=1,928) and validated on an internal test (n=483) and external cohort (n=938). There were significant differences in QuantCRC according to stage, histologic subtype, grade, venous/lymphatic/perineural invasion, tumor budding, CD8 IHC, mismatch repair status, KRAS mutation, BRAF mutation, and CpG methylation.