MUC5B variant is associated with visually and quantitatively detected preclinical pulmonary fibrosis

Abstract

Relatives of patients with familial interstitial pneumonia (FIP) are at increased risk for pulmonary fibrosis. We assessed the prevalence and risk factors for preclinical pulmonary fibrosis (PrePF) in first-degree relatives of patients with FIP and determined the utility of deep learning in detecting PrePF on CT.

Document Details

Document Type
Pub Defense Publication
Publication Date
Sep 26, 2019
Source ID
10.1136/thoraxjnl-2018-212430

Entities

People

  • Avram D. Walts
  • Cheryl Markin
  • David A Schwartz
  • David A. Lynch
  • Ivana V. Yang
  • James E Loyd
  • Jonathan Andrew Kropski
  • Jonathan H Chung
  • Julia Powers
  • Julia Woodward
  • Kevin K Brown
  • Mark P Steele
  • Marvin I. Schwarz
  • Stephen Humphries
  • Susan K. Mathai
  • Tasha Fingerlin
  • Timothy S. Blackwell

Organizations

  • National Institutes of Health
  • United States Department of Defense

Tags

Fields of Study

  • Medicine

Readers

  • Immunology and Pathology
  • Medical Imaging.
  • Women's Health and Cancer Risk Research: African American Women and Pregnancy Outcomes.

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks