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In vivo assessment and evaluation of lung tissue morphologic and physiologicalchanges from non-contact endoscopic reflectance spectroscopy for improving lung cancer detectionFawzy, Yasser S. ...We present a method for lung cancer detection exploiting reflectance spectra measured in vivo during endoscopic imaging of the lung. The measured reflectance spectra were analyzed using a specially ... developed light-transportmodel to obtain quantitative information about cancer-related, physiological, and morphologic changes in the superficial bronchial mucosa layers. The light-transport model allowed us to obtain the absorption coefficient (mua) and further to derive the micro-vascular blood volume fraction in tissue and the tissue blood oxygen saturation. The model also allowed us to obtain the scattering coefficient (mus) and the anisotropy coefficient (g) and further to derive the tissue scattering micro-particle volume fraction and size distribution. The specular component of the reflectance signal and the instrument response were accounted for during the analysis. The method was validated using 100 reflectance spectra measured in vivo in a noncontact fashion from 22 lung patients (50 normal tissue/benign lesion sites and 50 malignant lesion sites). The classification between normaltissue/benign lesions and malignant lesions was further investigated using the derived quantitative parameters and discriminant function analysis. The results demonstrated significant differences between the normal tissue/benign lesions and the malignant lesions in terms of tissue blood volume fraction, blood oxygen saturation, tissue scatterer volume fractions, and size distribution. The results also showed that the malignant lung lesionscan be differentiated from normal tissue/benign lesions with both diagnostic sensitivity and specificity of better than 80%.Vir: Journal of biomedical optics. - ISSN 1083-3668 (Letn. 11, št. 4, July/August 2006, str. 044003 [1-1-1-12])Vrsta gradiva - članek, sestavni delLeto - 2006Jezik - angleškiCOBISS.SI-ID - 23992537
Avtor
Fawzy, Yasser S. |
Petek, Mirjan |
Terčelj-Zorman, Marjeta |
Zeng, Haishan
Teme
Algorithms |
Equipment Design |
Equipment Failure Analysis |
Image Interpretation, Computer-Assisted |
Methods |
Lung Neoplasms |
Diagnosis |
Pathology |
Physiopathology |
Microscopy, Fluorescence |
Instrumentation |
Methods |
Photometry |
Instrumentation |
Methods |
Reproducibility Of Results |
Sensitivity And Specificity |
Spectrometry, Fluorescence |
Instrumentation |
Methods |
Algoritmi |
Aparati, odpoved, analiza |
Ponovljivost rezultatov |
Občutljivost in specifičnost |
Aparati, načrtovanje |
Slika, interpretacija z računalnikom |
Pljučne novotvorbe |
Fotometrija |
Spektrometrija fluorescenčna |
Mikroskopija fluorescenčna
Vnos na polico
Trajna povezava
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Faktor vpliva
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JCR | SNIP | JCR | SNIP | JCR | SNIP | JCR | SNIP |
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Povezave do osebnih bibliografij avtorjev | Povezave do podatkov o raziskovalcih v sistemu SICRIS |
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Fawzy, Yasser S. | |
Petek, Mirjan | |
Terčelj-Zorman, Marjeta | 06661 |
Zeng, Haishan |
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