Literature DB >> 20354756

Sensitivity and specificity of a CAD solution for lung nodule detection on chest radiograph with CTA correlation.

William Moore1, Jennifer Ripton-Snyder, George Wu, Craig Hendler.   

Abstract

The objective of this research was to determine the sensitivity and specificity of a commercially available computer-aided detection (CAD) system for detection of lung nodule on posterior-anterior (PA) chest radiograph in a varied patient population who are referred to computed tomographic angiogram (CTA) of the chest as a reference standard. Patients who had a PA chest radiograph with concomitant CTA of the chest were included in this retrospective study. The PA chest radiograph was analyzed by a CAD device, and results were recorded. A qualitative assessment of the CAD results was performed using a 5-point Likert scale. The CTA was then reviewed to determine if there were correlative nodules. The presence of a correlative nodule between 0.5 cm and 1.5 cm was considered a positive result. The baseline sensitivity of the system was determined to be 0.707 (95% CI = 0.52-0.86), with a specificity of 0.50 (95% CI = 0.38-0.76). Positive predictive value was 0.30 (95% CI = 0.24-0.49), with a negative predictive value of 0.858 (95% CI = 0.82-0.95), and accuracy of 0.555 (95% CI = 0.40-0.66). When excluding nodules that were qualitatively determined by a thoracic radiologist to be false positives, the specificity was 0.781 (95% CI = 0.764-0.839), the positive predictive value was 0.564 (95% CI = 0.491-0.654), the negative predictive value was 0.829 (95% CI = 0.819-0.878), and the accuracy was 0.737 (95% CI = 0.721-0.801). The use of CAD for lung nodule detection on chest radiograph, when used in conjunction with an experienced radiologist, has a very good sensitivity, specificity, and accuracy.

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Year:  2011        PMID: 20354756      PMCID: PMC3092040          DOI: 10.1007/s10278-010-9284-7

Source DB:  PubMed          Journal:  J Digit Imaging        ISSN: 0897-1889            Impact factor:   4.056


  9 in total

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Journal:  Radiology       Date:  1992-01       Impact factor: 11.105

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Journal:  Eur J Cancer Prev       Date:  1999-10       Impact factor: 2.497

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Journal:  N Engl J Med       Date:  2006-10-26       Impact factor: 91.245

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Journal:  Med Phys       Date:  1988 Mar-Apr       Impact factor: 4.071

8.  Improved detection of lung nodules on chest radiographs using a commercial computer-aided diagnosis system.

Authors:  Shingo Kakeda; Junji Moriya; Hiromi Sato; Takatoshi Aoki; Hideyuki Watanabe; Hajime Nakata; Nobuhiro Oda; Shigehiko Katsuragawa; Keiji Yamamoto; Kunio Doi
Journal:  AJR Am J Roentgenol       Date:  2004-02       Impact factor: 3.959

9.  Evaluation of a real-time interactive pulmonary nodule analysis system on chest digital radiographic images: a prospective study.

Authors:  Edwin J R van Beek; Brian Mullan; Brad Thompson
Journal:  Acad Radiol       Date:  2008-05       Impact factor: 3.173

  9 in total

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