Noninvasive Characterization of Indeterminate Pulmonary Nodules Detected on Chest High-Resolution Computed Tomography

Abstract

Purpose: Lung cancer is the most common cause of cancer-related deaths in the US. Results from the National Lung Screening Trial (NLST), a large randomized controlled trial, suggest that screening with annual low-dose, high-resolution computed tomography of the chest (HRCT) reduces lung cancer specific mortality by 20 . The major challenge for the implementation of lung cancer screening is the high false positive rate. In the NLST, 40 of the participants in the HRCT were found to have lung nodules, 95 of which proved benign. This high false positive rate limits the applicability of this strategy at the population level, and could result in increased patient anxiety, radiation exposure, health care costs, and procedural morbidity and mortality. Our work aims at identifying HRCT-based and clinical variables to derive a model which will non-invasively distinguish benign from malignant nodules.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2016
Accession Number
AD1025969

Entities

People

  • Fabien Maldonado

Organizations

  • Vanderbilt University

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Cancer
  • Cancer Screening
  • Carcinoma
  • Data Science
  • Data Sets
  • Databases
  • Detection
  • Health Services
  • High Resolution
  • Identification
  • Information Science
  • Lung Cancer
  • Medical Personnel
  • Neoplasms
  • Supervised Machine Learning
  • Tomography
  • X-Ray Computed Tomography

Fields of Study

  • Medicine

Readers

  • Mental Health of Military Veterans with Posttraumatic Stress Disorder (PTSD): Risk Factors, Prevalence, Symptoms, and Treatment.
  • Oncology and Biomarker-Based Cancer Detection.