Deep learning computer-aided detection system for pneumonia in febrile neutropenia patients: a diagnostic cohort study.

ABSTRACT:

Background

Diagnosis of pneumonia is critical in managing patients with febrile neutropenia (FN), however, chest X-ray (CXR) has limited performance in the detection of pneumonia. We aimed to evaluate the performance of a deep learning-based computer-aided detection (CAD) system in pneumonia detection in the CXRs of consecutive FN patients and investigated whether CAD could improve radiologists' diagnostic performance when used as a second reader.

Methods

CXRs of patients with FN (a body temperature ≥ 38.3 °C, or a sustained body temperature ≥ 38.0 °C for an hour; absolute neutrophil count < 500/mm³) obtained between January and December 2017 were consecutively included, from a single tertiary referral hospital. Reference standards for the diagnosis of pneumonia w

SUBMITTER: Hwang EJ 

PROVIDER: S-EPMC8650735 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature