Time Sensitivity Factor of Single Pulmonary Nodule: A New Cancer Characteristic Metabolic Parameter by F18-FDG PET. (18th May 2014)

• Record Type: Journal Article
• Authors: Cheng, Ching-Yuan; Lee, Kwo-Whei; Lee, Chiang-Hsuan; Tyan, Yeu-Sheng; Cheng, Cheng-Yi; Wang, Jhi-Joung; Yang, Chao-Wei; Huang, Wen-Sheng; Oliver Wong, Ching-Yee
• Other Names: Yang David J. Academic Editor.
• Is Part Of: BioMed research international. Volume 2014(2014)
• Publication Date: 2014-05-18
• Subjects: Medicine -- Periodicals; Biology -- Periodicals; Biotechnology -- Periodicals; Life sciences -- Periodicals; 610.5
• DOI: 10.1155/2014/830135
• Languages: English
• ISSNs: 2314-6133

Abstract

Abstract : Objective . To calculate the time sensitivity factor (S ) for discriminating the solitary pulmonary nodule (SPN) by FDG PET at different time points. Methods . The multiple time-point FDG PET images from 41 patients for evaluating SPN seen on chest X-ray or CT were prospectively analyzed to calculate and evaluate S against the gold standard of tissue histology (n = 38 ) or long term clinicoradiographic follow-up (n = 3 ). The maximal standardized uptake values (SUV) at the 3 hourly time points were measured. The S was calculated using S = d { ln ⁡ ( SUV ) } / d { ln ⁡ ( t ) } at 3 different time intervals. ROC analysis of the S parameters was performed to evaluate the optimal cut-off value and their accuracy in classifying the SPN. Results . The SUV in malignant SPN was higher than the corresponding value in benign lesions at all 3 hourly time points (P < 0.003 ). The S parameters using 3 different time intervals all significantly separated the two groups (P < 0.0005 ) with an optimal cut-off point near the theoretical value of zero with a high sensitivity of 100% and specificity of 86%. Conclusion . The S can be calculated for SPNs using multiple time-point FDG PET, providing a tumor characteristic metabolic parameter with high discrimination power using a simple positive value representing malignancy.