Clinical Impact of Pancreatic and Peripancreatic Hemorrhage Associated With Acute Pancreatitis.

Purpose: The significance of pancreatitis-associated hemorrhage outside the context of a ruptured pseudoaneurysm remains unclear. This study aims to characterize the clinical significance of pancreatic hemorrhage during acute pancreatitis (AP).

Methods: This retrospective study included adult patients diagnosed with hemorrhagic pancreatitis (HP) from 2010 to 2021.

Phase I study of intratumoral injection of talimogene laherparepvec for the treatment of advanced pancreatic cancer.

Background: Pancreatic ductal adenocarcinoma (PDAC) presents a redoubtable challenge due to late-stage diagnosis and limited treatment options, necessitating innovative therapeutic strategies.

Methods: Here, we report our results investigating the safety and efficacy of talimogene laherparepvec (T-VEC), an FDA-approved oncolytic herpes simplex virus type 1, in patients with advanced PDAC. Nine patients with treatment-refractory advanced PDAC received escalating doses of T-VEC via endoscopic injection.

Prenatal magnetic resonance imaging of umbilical cord ulcer in a fetus with congenital small bowel atresia: A case report.

A 34-year-old woman (gravida 2, para 0) with suspected fetal small-bowel atresia on ultrasound underwent magnetic resonance imaging (MRI) at 33 weeks 3 days of gestation. In addition to small bowel atresia, a teardrop-shaped hematoma was observed adjacent to the umbilical cord associated with an umbilical cord ulcer (UCU). The fetus was delivered by induced labor on diagnosis of intrauterine fetal death.

Large-scale multi-center CT and MRI segmentation of pancreas with deep learning.

Automated volumetric segmentation of the pancreas on cross-sectional imaging is needed for diagnosis and follow-up of pancreatic diseases. While CT-based pancreatic segmentation is more established, MRI-based segmentation methods are understudied, largely due to a lack of publicly available datasets, benchmarking research efforts, and domain-specific deep learning methods. In this retrospective study, we collected a large dataset (767 scans from 499 participants) of T1-weighted (T1 W) and T2-weighted (T2 W) abdominal MRI series from five centers between March 2004 and November 2022.