Publications by authors named "J B Leader"
Purpose: Delayed chest closure (DCC) during lung transplantation (LTx) is a controversial surgical approach that lacks research in systemic sclerosis (SSc) patients. We investigated outcomes, clinical risk factors, and CT-based lung size-matching parameters associated with DCC in SSc recipients.
Methods: This retrospective study included 92 SSc recipients (age 51 years ± 10, 56/92 (61.
Purpose: To investigate if body composition is a biomarker for assessing the risk of developing lung cancer.
Materials And Methods: Low-dose computed tomography (LDCT) scans from the Pittsburgh Lung Screening Study (PLuSS) (n=3,635, 22 follow-up years) and NLST-ACRIN (n=16,435, 8 follow-up years) cohorts were used in the study. Artificial intelligence (AI) algorithms were developed to automatically segment and quantify subcutaneous adipose tissue (SAT), visceral adipose tissue (VAT), intramuscular adipose tissue (IMAT), skeletal muscle (SM), and bone.
Background: Environmental chemical exposures in utero may play a role in autism development. While preconception risk factors for autism are increasingly being investigated, little is known about the influence of chemical exposures during the preconception period, particularly for paternal exposures.
Methods: In 195 children from the Preconception Environmental exposures And Childhood health Effects (PEACE) cohort born to parents recruited from a fertility clinic in Boston, Massachusetts between 2004 and 2017, we quantified concentrations of 11 phthalate metabolites and bisphenol A (BPA) in urine samples collected from mothers and fathers before conception and mothers throughout pregnancy.
Vascular Biomarkers for Pulmonary Nodule Malignancy: Arteries vs. Veins.
Cancers (Basel)
September 2024
Objective: This study aims to investigate the association between the arteries and veins surrounding a pulmonary nodule and its malignancy.
Methods: A dataset of 146 subjects from a LDCT lung cancer screening program was used in this study. AI algorithms were used to automatically segment and quantify nodules and their surrounding macro-vasculature.
Article Synopsis
- COVID-19 and influenza are respiratory illnesses caused by different viruses but share some symptoms and clinical risk factors, yet their genetic connections remain poorly understood.
- A study involving over 18,000 influenza cases and nearly 276,000 control subjects found no common genetic risk factors between COVID-19 and influenza, revealing specific gene variants linked only to influenza.
- The research highlights the potential for targeting cell surface receptors involved in viral entry, showing that manipulating specific genes could lead to treatments that prevent both COVID-19 and influenza infections.