Validation of the BRODERS classifier (BenignversusaggRessive nODule Evaluation using Radiomic Stratification), a novel HRCT-based radiomic classifier for indeterminate pulmonary nodules

Abstract

Implementation of low-dose chest computed tomography (CT) lung cancer screening and the ever-increasing use of cross-sectional imaging are resulting in the identification of many screen- and incidentally detected indeterminate pulmonary nodules. While the management of nodules with low or high pre-test probability of malignancy is relatively straightforward, those with intermediate pre-test probability commonly require advanced imaging or biopsy. Noninvasive risk stratification tools are highly desirable.

Document Details

Document Type
Pub Defense Publication
Publication Date
Dec 10, 2020
Source ID
10.1183/13993003.02485-2020

Entities

People

  • Aneri Balar
  • Brian J. Bartholmai
  • Cyril Varghese
  • Dhairya Lakhani
  • Fabien Maldonado
  • Fenghai Duan
  • Pierre P. Massion
  • Richard A. Robb
  • Ronald A. Karwoski
  • S. Rajagopalan
  • Sanja L. Antic
  • Tobias Peikert
  • Tucker F. Johnson

Organizations

  • United States Department of Defense

Tags

Fields of Study

  • Medicine
  • Physics

Readers

  • Mathematical Modeling and Probability Theory.
  • Medical Imaging.