Nuclear Science and Techniques

《核技术》(英文版) ISSN 1001-8042 CN 31-1559/TL     2019 Impact factor 1.556

Nuclear Science and Techniques ›› 2013, Vol. 24 ›› Issue (4): 040303 doi: 10.13538/j.1001-8042/nst.2013.04.007


Extrapulmonary benign and malignant lesions avid for 18F-fluoro- deoxyglucose by multivariate regression model identification

CHEN Yangchun1,2,*  XU Hao1  CHEN Ping2   

  1. 1Department of Nuclear Medicine in the First Affiliated Hospital of Jinan University, Guangzhou 510632, China   2PET/CT Center in the First Affiliated Hospital of Guangzhou Medical College, Guangzhou 510230, China
  • Received:2012-10-21
  • Contact: CHEN Yangchun
  • Supported by:

    Supported by National Natural Science Foundation of China (No. 30800274)

CHEN Yangchun, XU Hao, CHEN Ping. Extrapulmonary benign and malignant lesions avid for 18F-fluoro- deoxyglucose by multivariate regression model identification.Nuclear Science and Techniques, 2013, 24(4): 040303     doi: 10.13538/j.1001-8042/nst.2013.04.007


Whether extrapulmonarylesions are avid for 18F-fluorodeoxyglucose (18F-FDG) could help to differentiate the benign or malignant lung lesions. In this trial, the 199 consecutive patients with newly diagnosed lung lesions (169 malignant and 36 benign lesions) were imaged by whole body 18F-FDG PET/CT. Histopathology and clinic results served as the reference standard. The malignancy likelihood were conducted by CTscores; the maximum standardized uptake value (SUVmax) of lung lesions, and PET on FDG negative or positive, as well as metastasis index (MI), by PET combined with CT findings. The data were analyzed by stepwise logistic regression and receiver-operating- characteristic. The malignancy predictive probability (P) was obtained by P =ex/(1+ex), where x= –1.16+0.87 (CTscore) +0.15(SUVmax)+0.27(MI). The area under curve (AUC) for the fitted logistic model was 0.82±0.04, this was superior and significantly different from SUVmax(AUC, 0.73±0.05) and CTscores(AUC, 0.71±0.05). The fitted logistic model could improve the diagnostic performance. The MI could help for differential diagnosis.

Key words: Lung neoplasm, 18F-fluorodeoxyglucose, Positron-emission tomography and computed tomography, Logistic models, Receiver-operating-characteristic