Analyzing the TotalSegmentator for facial feature removal in head CT scans.

Background: Facial recognition technology in medical imaging, particularly with head scans, poses privacy risks due to identifiable facial features. This study evaluates the use of facial recognition software in identifying facial features from head CT scans and explores a defacing pipeline using TotalSegmentator to reduce re-identification risks while preserving data integrity for research.

Methods: 1404 high-quality renderings from the UCLH EIT Stroke dataset, both with and without defacing were analysed.

Degradable starch microspheres transarterial chemoembolization (DSM-TACE) in patients with unresectable hepatocellular carcinoma: results from the Prospective Multicenter Observational HepaStar Trial.

Objectives: Despite increasing interest, prospective data on the use of degradable starch microsphere-transarterial chemoembolization (DSM-TACE) in the management of patients with unresectable HCC are still scarce. The objective of the HepaStar study was to collect prospective safety and effectiveness data in a prospective multicenter observational study.

Materials And Methods: Between January 2017 and December 2022, consecutive participants with unresectable or recurrent HCC treated with DSM-TACE as standard of care at 6 participating centers in Europe were enrolled.

A Machine Learning Model to Harmonize Volumetric Brain MRI Data for Quantitative Neuroradiological Assessment of Alzheimer Disease.

Purpose To extend a previously developed machine learning algorithm for harmonizing brain volumetric data of individuals undergoing neuroradiological assessment of Alzheimer disease not encountered during model training. Materials and Methods Neuroharmony is a recently developed method that uses image quality metrics (IQM) as predictors to remove scanner-related effects in brain-volumetric data using random forest regression. To account for the interactions between Alzheimer disease pathology and IQM during harmonization, the authors developed a multiclass extension of Neuroharmony for individuals with and without cognitive impairment.

Enhanced Positioning Strategies to Reduce Pneumothorax in CT-Guided Lung Biopsies.

Background/objectives: This study aimed to investigate pneumothorax risk, focusing on the gravitational effect of pleural pressure caused by specific patient positioning.

Methods: We retrospectively analyzed 144 percutaneous CT-guided lung biopsies performed between January 2019 and December 2023. Patients were grouped into those with or without pneumothorax.