Computer-aided Detection for the Identification of Pulmonary Nodules in Pediatric Oncology Patients: Initial Experience

Overview

Journal Pediatr Radiol

Specialty Pediatrics

Date 2009 May 7

PMID 19418048

Citations 9

Authors

Emma J Helm

Cicero T Silva

Heidi C Roberts

David Manson

Mike T M Seed

Joao G Amaral

Paul S Babyn

Affiliations

Soon will be listed here.

Abstract

Background: Computer-aided detection (CAD) has been shown to increase the sensitivity for detection of pulmonary nodules in adults. This study reports initial findings utilizing a CAD system for the detection of pediatric pulmonary nodules.

Objective: To assess the performance of CAD and pediatric radiologists in the detection of pediatric pulmonary nodules.

Materials And Methods: CT scans from a series of pediatric patients with known primary tumors and lung nodules were analyzed by four radiologists and a commercially available CAD system. IRB approval was obtained. Sensitivities were calculated for detection according to nodule size and location.

Results: In 24 children (age 3-18 years) 173 nodules were identified. Overall the sensitivity of CAD was 34%, but the sensitivity of CAD for detection of nodules 4.0 mm or larger was 80%. Overall radiologist sensitivity ranged from 68% to 79%. There were 0.9 CAD false-positives and 0.3-2.4 radiologist false-positives per study.

Conclusion: CAD in our pediatric oncology patients had good sensitivity for detection of lung nodules 4 mm and larger with a low number of false-positives. However, the sensitivity was considerably less for nodules smaller than 4 mm.

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