The diagnosis and treatment of sinonasal small round epithelial/neuroepithelial malignancies depend on the expression of conventional neuroendocrine markers (NEMs), such as synaptophysin, chromogranin A, INSM1, and CD56/NCAM1. However, these tumors remain diagnostically challenging because of overlapping histologic and immunohistochemical features. The transcriptional regulators ASCL1, NEUROD1, POU2F3, and YAP1 are novel NEM (nNEM) used for the subtyping of small-cell lung cancer (SCLC).
View Article and Find Full Text PDFBackground: Noninvasive follicular thyroid neoplasm with papillary-like features (NIFTP) was introduced in 2016 replacing noninvasive follicular variant of papillary thyroid carcinoma, with recommendations to label them "noncancer." To avoid reducing risk of malignancy (ROM) and overdiagnosing NIFTP as malignant, some authors required restricted cytologic criteria (RC) for a definitive diagnosis of papillary thyroid carcinoma (PTC), including papillae, psammoma bodies. or ≥3 nuclear pseudoinclusions.
View Article and Find Full Text PDFEntrustable professional activities (EPAs) are observable clinical skills and/or procedures that have been introduced into medical education at the student and resident levels in most specialties to determine readiness to advance into residency or independent practice, respectively. This publication describes the process and outcomes of a pilot study looking at the feasibility of using two anatomic pathology and two clinical pathology EPAs in pathology residency in 6 pathology residency programs that volunteered for the study. Faculty development on EPAs and their assessment was provided to pilot program faculty, and EPA assessment tools were developed and used by the pilot programs.
View Article and Find Full Text PDFObjective: To develop and externally validate a prediction model for severe cisplatin associated acute kidney injury (CP-AKI).
Design: Multicenter cohort study.
Setting: Six geographically diverse major academic cancer centers across the US.
Objectives: Matching treatment intensity to tumor biology is critical to precision oncology for head and neck squamous cell carcinoma (HNSCC) patients. We sought to identify biological features of tumor cell multinucleation, previously shown by us to correlate with survival in oropharyngeal (OP) SCC using a machine learning approach.
Materials And Methods: Hematoxylin and eosin images from an institutional OPSCC cohort formed the training set (D).