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D. Shlomi



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    MA01 - Improvement and Implementation of Lung Cancer Screening (ID 368)

    • Event: WCLC 2016
    • Type: Mini Oral Session
    • Track: Radiology/Staging/Screening
    • Presentations: 1
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      MA01.01 - Detection of Lung Cancer and EGFR Mutations by Electronic Nose System (ID 4867)

      11:00 - 12:30  |  Author(s): D. Shlomi

      • Abstract
      • Presentation
      • Slides

      Background:
      Early detection of LC has been well established as a significant key point for patient survival and prognosis. New sensitive nanoarray sensors for exhaled Volatile Organic Compounds (VOCs) were developed and coupled with powerful statistical programs; diseases such as LC could be suspected.

      Methods:
      Breath samples were taken from patients who were evaluated for pulmonary nodules, LC patients before treatment and other control patients. 'Breath-prints' were recognized by nanomaterial based sensor array/Artificial Olfactory System (NaNoseĀ®) and Pattern recognition methods were used.

      Results:
      A total of 139 patients participated in this study, 30 patients with benign nodules, 89 LC patients (16 early and 73 advanced disease) and 20 controls. We revealed significant discrimination between all groups with accuracy of 75.6% to 90.9%. Discrimination of LC from benign nodules had 79% accuracy, while benign nodules could be discriminated from early LC lesions with positive and negative predicted values (PPV and NPV) of 87.7 and 87.5% respectively, and accuracy of 87%. Also, we could discriminate LC patients who harbor EGFR mutations (19) from wild-type (34) with an accuracy of 83%, a sensitivity of 79% and a specificity of 85%. Figure 1



      Conclusion:
      Breath analysis could discriminate LC patients from benign pulmonary nodules and between EGFR positive and negative mutations. In future, a portable, non-expensive, simple and user-friendly device may support evaluation of pulmonary nodules.

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