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Computer-aided diagnosis in chest radiology.

Hiroyuki Abe1, Heber Macmahon, Junji Shiraishi

  • 1Kurt Rossmann Laboratories for Radiologic Image Research, Department of Radiology, The University of Chicago, Chicago, IL 60637, USA. habe@uchicago.edu

Seminars in Ultrasound, CT, and MR
|November 24, 2004
PubMed
Summary

Computer-aided diagnosis (CAD) offers valuable tools for radiologists interpreting chest radiographs, acting as a "second opinion" for tasks like nodule detection and disease diagnosis. CAD for CT scans is also advancing.

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Area of Science:

  • Medical Imaging
  • Radiology
  • Computer-Aided Diagnosis

Background:

  • Chest radiography remains a valuable diagnostic tool, despite the increasing prevalence of CT scans.
  • Computer-aided diagnosis (CAD) systems are being developed to enhance the interpretation of medical images.

Purpose of the Study:

  • To review the current applications and status of computer-aided diagnosis (CAD) schemes for chest radiographs.
  • To briefly discuss the current status of CAD for CT scans.

Main Methods:

  • Review of existing computer-aided diagnosis (CAD) schemes for chest radiographs.
  • Discussion of CAD applications including nodule detection, interstitial disease detection, temporal subtraction, differential diagnosis, and nodule classification.
  • Brief overview of CAD for CT.

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Main Results:

  • CAD schemes for chest radiographs provide potentially useful tools for radiologists, serving as a "second opinion."
  • Current CAD applications include nodule detection, interstitial disease detection, temporal subtraction, differential diagnosis, and benign/malignant pulmonary nodule distinction.
  • Commercially available CAD products exist, with more anticipated.

Conclusions:

  • CAD systems show promise in augmenting radiologists' capabilities in interpreting chest radiographs.
  • The development and availability of CAD tools for chest imaging are expanding.
  • CAD technology is also progressing for CT-based diagnostics.