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Time Sensitivity Factor of Single Pulmonary Nodule: A New Cancer Characteristic Metabolic Parameter byF18-FDG PET
Author(s) -
ChingYuan Cheng,
KaWo Lee,
Chiang-Hsuan Lee,
YeuSheng Tyan,
ChengYi Cheng,
JhiJoung Wang,
Chao-Wei Yang,
WenSheng Huang,
Ching-yee Oliver Wong
Publication year - 2014
Publication title -
biomed research international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.772
H-Index - 126
eISSN - 2314-6141
pISSN - 2314-6133
DOI - 10.1155/2014/830135
Subject(s) - algorithm , artificial intelligence , computer science
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.

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