Automatic MRI-TRUS Fusion Technique for Transperineal Biopsy Guidance: From Preoperative Planning to Intraoperative Navigation.

Background: Targeted and systematic transperineal biopsy of lesions guided by magnetic resonance imaging (MRI) and transrectal ultrasonography (TRUS) fusion technique may optimize the biopsy procedure and enhance the detection of prostate cancer. We described the transperineal biopsy guided by an automatic MRI-TRUS fusion technique, and evaluated the accuracy and feasibility of this method in a prospective single-center study.

Methods: The proposed method focuses on automating the delineation of prostate contours in both the MRI and TRUS images, the registration and fusion of MRI and TRUS images, the generation and visualiztion of the systematic biopsy cores in their corresponding locations within the 2D and the 3D views, as well as the computation and visualiztion of needle trajectories from preoperative planning to intraoperative navigation.

Weakly supervised volumetric prostate registration for MRI-TRUS image driven by signed distance map.

Image registration is a fundamental step for MRI-TRUS fusion targeted biopsy. Due to the inherent representational differences between these two image modalities, though, intensity-based similarity losses for registration tend to result in poor performance. To mitigate this, comparison of organ segmentations, functioning as a weak proxy measure of image similarity, has been proposed.

Changing Labor and Delivery Practice: Focus on Achieving Practice and Documentation Standardization with the Goal of Improving Neonatal Outcomes.

Objective: To establish multifactorial shoulder dystocia response and management protocol to promote sustainable practice change.

Data Sources/study Setting: Primary data collection was conducted over 3 years. Implementation of the protocol spanned 13 months.

Social Media Listening for Routine Post-Marketing Safety Surveillance.

Introduction: Post-marketing safety surveillance primarily relies on data from spontaneous adverse event reports, medical literature, and observational databases. Limitations of these data sources include potential under-reporting, lack of geographic diversity, and time lag between event occurrence and discovery. There is growing interest in exploring the use of social media ('social listening') to supplement established approaches for pharmacovigilance.