A Review of Circulating Tumor DNA (ctDNA) in Pancreatic Cancer: Ready for the Clinic?

Pancreatic ductal adenocarcinoma is a devastating disease which is associated with an increase in cancer-related death in the USA. The minority of patients are cured by surgery alone and typically require adjuvant chemotherapy in order to improve clinical outcomes. Circulating tumor DNA (ctDNA) is an emerging technology whereby microscopic levels of minimal residual disease (MRD) can be detected in the bloodstream.

Rethinking the rise of early onset gastrointestinal cancers: a call to action.

Since the early 1990s, there has been a dramatic rise in gastrointestinal cancers diagnosed in patients under age 50 for reasons that remain poorly understood. The most significant change has been the increase in incidence rates of early-onset colorectal cancer, especially rates of left-sided colon and rectal cancers. Increases in gastric, pancreatic, and other gastrointestinal cancer diagnoses have further contributed to this trend.

NNFit: A Self-Supervised Deep Learning Method for Accelerated Quantification of High- Resolution Short Echo Time MR Spectroscopy Datasets.

Purpose To develop and evaluate the performance of NNFit, a self-supervised deep-learning method for quantification of high-resolution short echo-time (TE) echo-planar spectroscopic imaging (EPSI) datasets, with the goal of addressing the computational bottleneck of conventional spectral quantification methods in the clinical workflow. Materials and Methods This retrospective study included 89 short-TE whole-brain EPSI/GRAPPA scans from clinical trials for glioblastoma (Trial 1, May 2014-October 2018) and major-depressive-disorder (Trial 2, 2022- 2023). The training dataset included 685k spectra from 20 participants (60 scans) in Trial 1.

Comprehensive characterization of MCL-1 in patients with colorectal cancer: Expression, molecular profiles, and outcomes.

Myeloid cell leukemia 1 (MCL-1) is a member of the B-cell lymphoma 2 protein family and has anti-apoptotic functions. Deregulation of MCL-1 has been reported in several cancers, including lung and breast cancer. In the present study, the association of MCL-1 expression with molecular features in colorectal cancer (CRC) has been highlighted.

Enhancing Radiologist Efficiency with AI: A Multi-Reader Multi-Case Study on Aortic Dissection Detection and Prioritization.

Background And Objectives: Acute aortic dissection (AD) is a life-threatening condition in which early detection can significantly improve patient outcomes and survival. This study evaluates the clinical benefits of integrating a deep learning (DL)-based application for the automated detection and prioritization of AD on chest CT angiographies (CTAs) with a focus on the reduction in the scan-to-assessment time (STAT) and interpretation time (IT).

Materials And Methods: This retrospective Multi-Reader Multi-Case (MRMC) study compared AD detection with and without artificial intelligence (AI) assistance.