Postoperative outcomes of a pelvic pouch procedure: Lessons learned over 40 years among 5070 patients.

Background: This study aimed to report the experience over 40 years and outcomes of 5070 patients who underwent a pelvic pouch procedure.

Methods: A retrospective analysis of a prospectively maintained ileal pouch-anal anastomosis (IPAA) database (1983-2022) was performed. Patients were stratified based on the following diagnoses: ulcerative colitis (UC), indeterminate colitis (IC), familial adenomatous polyposis (FAP), inflammatory bowel disease (IBD)-dysplasia, Crohn colitis (CD), and others.

Validation of SynthSeg segmentation performance on CT using paired MRI from radiotherapy patients.

Introduction: Manual segmentation of medical images is labor intensive and especially challenging for images with poor contrast or resolution. The presence of disease exacerbates this further, increasing the need for an automated solution. To this extent, SynthSeg is a robust deep learning model designed for automatic brain segmentation across various contrasts and resolutions.

Liver Transplantation for Intrahepatic Cholangiocarcinoma After Chemotherapy and Radioembolization: An Intention-To-Treat Study.

Liver transplantation (LT) is a potentially curative experimental treatment for unresectable intrahepatic cholangiocarcinoma (iCC). Pre-transplant downstaging may help defining tumor aggressiveness and drive patient selection. We report the preliminary results of LT for liver-limited unresectable iCC after sequential downstaging with systemic chemotherapy and radioembolization (SYS-TARE).

Automatic segmentation for magnetic resonance imaging guided individual elective lymph node irradiation in head and neck cancer patients.

Background And Purpose: In head and neck squamous cell carcinoma (HNSCC) patients, the radiation dose to nearby organs at risk can be reduced by restricting elective neck irradiation from lymph node levels to individual lymph nodes. However, manual delineation of every individual lymph node is time-consuming and error prone. Therefore, automatic magnetic resonance imaging (MRI) segmentation of individual lymph nodes was developed and tested using a convolutional neural network (CNN).

Preclinical pharmacology of patient-derived extracellular vesicles for the intraoperative imaging of tumors.

Extracellular vesicles (EVs) derived from the plasma of oncological patients exhibit significant tumor-targeting properties, unlike those from healthy individuals. We have previously shown the feasibility of formulating the near-infrared (NIR) fluorescent dye indocyanine green (ICG) with patient-derived extracellular vesicles (PDEVs) for selective delivery to neoplastic tissue. This staining protocol holds promise for clinical application in intraoperative tumor margin imaging, enabling precise neoplastic tissue resection.