After Detection: The Improved Accuracy of Lung Cancer Assessment Using Radiologic Computer-aided Diagnosis

Guy J. Amir, Harold P Lehmann

Research output: Contribution to journalArticle

Abstract

Rationale and Objectives: The aim of this study was to evaluate the improved accuracy of radiologic assessment of lung cancer afforded by computer-aided diagnosis (CADx). Materials and Methods: Inclusion/exclusion criteria were formulated, and a systematic inquiry of research databases was conducted. Following title and abstract review, an in-depth review of 149 surviving articles was performed with accepted articles undergoing a Quality Assessment of Diagnostic Accuracy Studies (QUADAS)-based quality review and data abstraction. Results: A total of 14 articles, representing 1868 scans, passed the review. Increases in the receiver operating characteristic (ROC) area under the curve of .8 or higher were seen in all nine studies that reported it, except for one that employed subspecialized radiologists. Conclusions: This systematic review demonstrated improved accuracy of lung cancer assessment using CADx over manual review, in eight high-quality observer-performance studies. The improved accuracy afforded by radiologic lung-CADx suggests the need to explore its use in screening and regular clinical workflow.

Original languageEnglish (US)
Pages (from-to)186-191
Number of pages6
JournalAcademic Radiology
Volume23
Issue number2
DOIs
Publication statusPublished - Feb 1 2016

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Keywords

  • Cancer
  • Computer-aided
  • Imaging
  • Lung
  • Medical

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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