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

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...

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Publicado en:Journal of Digital Imaging Vol. 24; no. 3; pp. 405 - 411
Autores principales: Moore, William, Ripton-Snyder, Jennifer, Wu, George, Hendler, Craig
Formato: diagnostic images research tables/charts Journal Article
Publicado: Springer Nature Jun2011
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Jun2011
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      pub: Springer Nature
      place: New York, New York
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          Moore, William
          Ripton-Snyder, Jennifer
          Wu, George
          Hendler, Craig
        affil: Stony Brook University Hospital, 100 Nicolls Road, HSC Level IV, Room 120 Stony Brook 11733 USA
      sug:
        subj:
          Diagnosis, Computer Assisted
          Radiography, Thoracic
          Lung Radiography
          Lung Neoplasms Diagnosis
          Lung Neoplasms Radiography
          Human
          Sensitivity and Specificity
          Angiography
          Spearman's Rank Correlation Coefficient
          Predictive Value of Tests
          Data Analysis Software
          Adolescence
          Adult
          Middle Age
          Aged
          Aged, 80 and Over
          Female
          Male
          Retrospective Design
          Confidence Intervals
          Lung Pathology
          Adolescent: 13-18 years
          Adult: 19-44 years
          Middle Aged: 45-64 years
          Aged: 65+ years
          Aged, 80 & over
          Female
          Male
      ab: 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.
      pubtype: Academic Journal
      doctype:
        diagnostic images
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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