The Upper TRACT Endometry Score: development and internal validation of an objective measure of variables that impact endoscopic procedures for upper tract urothelial carcinoma.

Purpose: Endoscopic management (EM) is an increasingly accepted option for upper tract urothelial carcinoma (UTUC). Feasibility can be dependent on a variety of variables. The objective of this study was to identify anatomic and phenotypic tumor characteristics that impact EM, using structured expert forecasting, develop and obtain consensus on an assessment score, and perform initial validation of the score in a retrospective database.

Bayesian longitudinal tensor response regression for modeling neuroplasticity.

A major interest in longitudinal neuroimaging studies involves investigating voxel-level neuroplasticity due to treatment and other factors across visits. However, traditional voxel-wise methods are beset with several pitfalls, which can compromise the accuracy of these approaches. We propose a novel Bayesian tensor response regression approach for longitudinal imaging data, which pools information across spatially distributed voxels to infer significant changes while adjusting for covariates.

High-Dose Chemotherapy and Autologous Stem Cell Transplantation for Relapsed or Refractory Primary Mediastinal Large B-Cell Lymphoma.

Primary mediastinal large B-cell lymphoma (PMBCL) is an uncommon, aggressive type of non-Hodgkin lymphoma. Rituximab-containing chemoimmunotherapy with or without radiation therapy (RT) is standard first-line treatment. Relapsed or refractory (R/R) disease has long been treated with salvage chemotherapy followed by high-dose chemotherapy (HDC), with autologous stem cell transplantation (ASCT) in appropriate patients.

Social Determinants of Digital Health Adoption: Pilot Cross-sectional Survey.

Background: Interest in and funding for digital health interventions have rapidly grown in recent years. Despite the increasing familiarity with mobile health from regulatory bodies, providers, and patients, overarching research on digital health adoption has been primarily limited to morbidity-specific and non-US samples. Consequently, there is a limited understanding of what personal factors hold statistically significant relationships with digital health uptake.