Sensitivity and Specificity of a CAD Solution for Lung Nodule Detection on Chest Radiograph with CTA Correlation

被引:0
|
作者
William Moore
Jennifer Ripton-Snyder
George Wu
Craig Hendler
机构
[1] Stony Brook University Hospital,
来源
Journal of Digital Imaging | 2011年 / 24卷
关键词
Chest CT; chest radiographs; computer assisted detection; lung neoplasms;
D O I
暂无
中图分类号
学科分类号
摘要
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.
引用
收藏
页码:405 / 410
页数:5
相关论文
共 50 条
  • [1] Sensitivity and Specificity of a CAD Solution for Lung Nodule Detection on Chest Radiograph with CTA Correlation
    Moore, William
    Ripton-Snyder, Jennifer
    Wu, George
    Hendler, Craig
    JOURNAL OF DIGITAL IMAGING, 2011, 24 (03) : 405 - 410
  • [2] Lung nodule detection on chest CT: Evaluation of a computer-aided detection (CAD) system
    Lee, IJ
    Gamsu, G
    Czum, J
    Wu, N
    Johnson, R
    Chakrapani, S
    KOREAN JOURNAL OF RADIOLOGY, 2005, 6 (02) : 89 - 93
  • [3] Detection Sensitivity of a Commercial Lung Nodule CAD System in a Series of Pathologically Proven Lung Cancers
    Godoy, M. C.
    Mayo, J. R.
    Cooperberg, P. L.
    Maizlin, Z., V
    McWilliams, A.
    Yuan, R.
    Lam, S.
    AMERICAN JOURNAL OF ROENTGENOLOGY, 2007, 188 (05)
  • [4] Detection sensitivity of a commercial lung nodule CAD system in a series of pathologically proven lung cancers
    Godoy, Myrna C. B.
    Cooperberg, Peter L.
    Maizlin, Zeev V.
    Yuan, Ren
    McWilliams, Annette
    Lam, Stephen
    Mayo, John R.
    JOURNAL OF THORACIC IMAGING, 2008, 23 (01) : 1 - 6
  • [5] Multi-resolution convolutional networks for chest X-ray radiograph based lung nodule detection
    Li, Xuechen
    Shen, Linlin
    Xie, Xinpeng
    Huang, Shiyun
    Xie, Zhien
    Hong, Xian
    Yu, Juan
    ARTIFICIAL INTELLIGENCE IN MEDICINE, 2020, 103
  • [6] Detection of lung nodule candidates in chest radiographs
    Pereira, Carlos S.
    Fernandes, Hugo
    Mendonca, Ana Maria
    Campilho, Aurelio
    PATTERN RECOGNITION AND IMAGE ANALYSIS, PT 2, PROCEEDINGS, 2007, 4478 : 170 - +
  • [7] Effect of CAD system with a vessel suppression function on clinical lung nodule detection in chest CT scans
    Gu, Xiaomeng
    Chai, Yuliang
    Weiyang, Xie
    Zhao, Jun
    Li, Qiang
    MEDICAL IMAGING 2021: IMAGE PERCEPTION, OBSERVER PERFORMANCE, AND TECHNOLOGY ASSESSMENT, 2021, 11599
  • [8] Detection of lung cancer on the chest radiograph: a study on observer performance
    Quekel, LGBA
    Kessels, AGH
    Goei, R
    van Engelshoven, JMA
    EUROPEAN JOURNAL OF RADIOLOGY, 2001, 39 (02) : 111 - 116
  • [9] Lung nodule detection in chest radiographs: a subsymbolic architecture
    Coppini, G
    Falchini, M
    Stecco, A
    Valli, G
    Villari, N
    CARS 2000: COMPUTER ASSISTED RADIOLOGY AND SURGERY, 2000, 1214 : 798 - 803
  • [10] Automated CAD for Lung Nodule Detection using CT Scans
    Gomathi, M.
    Thangaraj, P.
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON DATA STORAGE AND DATA ENGINEERING (DSDE 2010), 2010, : 150 - 153