Assessment of hard tissue changes after horizontal guided bone regeneration with the aid of deep learning CBCT segmentation.

Objectives: To investigate the performance of a deep learning (DL) model for segmenting cone-beam computed tomography (CBCT) scans taken before and after mandibular horizontal guided bone regeneration (GBR) to evaluate hard tissue changes.

Materials And Methods: The proposed SegResNet-based DL model was trained on 70 CBCT scans. It was tested on 10 pairs of pre- and post-operative CBCT scans of patients who underwent mandibular horizontal GBR.

Outcomes of Elderly Patients With Node-Positive Colon Cancer: A Multicenter Population-Based Cohort Study.

Background: In this large population-based cohort study, we examined the prognostic significance of various clinical, pathological, and contextual variables for their correlation with survival in elderly patients with stage III colon cancer.

Methods: Patients aged ≥ 70 years with stage III colon cancer, diagnosed in Saskatchewan during 2012-2018, were evaluated. A Cox proportional multivariate survival analysis was performed to determine factors correlated with overall survival (OS) and disease-free survival.

Effect of Parametric Variation of Chordae Tendineae Structure on Simulated Atrioventricular Valve Closure.

Purpose: Many approaches have been used to model chordae tendineae geometries in finite element simulations of atrioventricular heart valves. Unfortunately, current "functional" chordae tendineae geometries lack fidelity (e.g.

The critical role of parents within a Learning Health Network.

Parent members of the Pediatric Rheumatology Care & Outcomes Improvement Network are an integral part of the Learning Health Network's work. Since early in the creation of the network, they have been a part of every Quality Improvement project, committee, and work group and have a role in governance on the Executive and Steering Committees. Members of the Parent Working Group (PWG) have played a role in developing QI measures used in the clinical setting as well as initiatives and projects like the guiding work of Treat-to-Target.