Non-invasive Breath Analysis of Pulmonary Nodules

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Presentation transcript:

Non-invasive Breath Analysis of Pulmonary Nodules Nir Peled, MD, PhD, Meggie Hakim, MSc, Paul A. Bunn, MD, York E. Miller, MD, Timothy C. Kennedy, MD, Jane Mattei, MD, PhD, John D. Mitchell, MD, Fred R. Hirsch, MD, PhD, Hossam Haick, PhD  Journal of Thoracic Oncology  Volume 7, Issue 10, Pages 1528-1533 (October 2012) DOI: 10.1097/JTO.0b013e3182637d5f Copyright © 2012 International Association for the Study of Lung Cancer Terms and Conditions

FIGURE 1 One potential biomarker for differentiating malignant lung nodules from benign ones found by means of gas chromatography with mass spectrometry. 1-octene shows a statistically significant difference in the peak area of the benign and malignant samples (p = 0.0486). The positions of the mean values for benign and malignant states are marked with □, the boxes correspond to their 95% confidence limits, and the error bars correspond to the SD. Journal of Thoracic Oncology 2012 7, 1528-1533DOI: (10.1097/JTO.0b013e3182637d5f) Copyright © 2012 International Association for the Study of Lung Cancer Terms and Conditions

FIGURE 2 Graphical representation of the first canonical score values for patients with benign nodules and malignant nodules that were obtained from a chemical nanoarray containing 5-nm gold nanoparticle sensors and an organically functionalized carbon nanotube sensor. A, Each point represents one patient. The positions of the mean values are marked with □, the boxes correspond to the 95% confidence limits, and the error bars correspond to the SDs. The confidence intervals are significantly separated (p < 0.0001). B, Receiver operating characteristic curve for the discrimination between malignant and benign pulmonary nodules (PNs), AUC 0.986. AUC, area under the curve. Journal of Thoracic Oncology 2012 7, 1528-1533DOI: (10.1097/JTO.0b013e3182637d5f) Copyright © 2012 International Association for the Study of Lung Cancer Terms and Conditions

FIGURE 3 Graphical representation of the first canonical score values for patients with malignant nodules, which differentiate between adenocarcinoma and squamous cell lung cancer, obtained from a chemical nanoarray containing gold nanoparticle sensors. Each point represents one patient. The positions of the mean values are marked with □, the boxes correspond to their 95% confidence limits, and the error bars correspond to the SDs. The confidence intervals are significantly separated (p < 0.0001). Journal of Thoracic Oncology 2012 7, 1528-1533DOI: (10.1097/JTO.0b013e3182637d5f) Copyright © 2012 International Association for the Study of Lung Cancer Terms and Conditions

FIGURE 4 Graphical representation of the first canonical score values for patients with early-stage or advanced non–small-cell lung cancer nodules that were obtained from a chemical nanoarray containing seven gold nanoparticle sensors and an organically functionalized carbon nanotube sensor. Each point represents one patient. The positions of the mean values are marked with □, the boxes correspond to their 95% confidence limits, and the error bars correspond to the SDs. The confidence intervals are significantly separated (p < 0.0001). Journal of Thoracic Oncology 2012 7, 1528-1533DOI: (10.1097/JTO.0b013e3182637d5f) Copyright © 2012 International Association for the Study of Lung Cancer Terms and Conditions