TY - JOUR
T1 - Role of combined 18F-FDG-PET/CT for predicting the WHO malignancy grade of thymic epithelial tumors
T2 - A multicenter analysis
AU - Lococo, F.
AU - Cesario, A.
AU - Okami, J.
AU - Cardillo, G.
AU - Cavuto, S.
AU - Tokunaga, T.
AU - Apolone, G.
AU - Margaritora, S.
AU - Granone, P.
PY - 2013/11
Y1 - 2013/11
N2 - Introduction: To investigate the performance of combined 18F-FDG-PET/CT as a predictor of the WHO-classification based malignancy grade in thymic epithelial tumors. Methods: From 05/06 to 02/12, the data of 47 patients with thymic epithelial tumors assessed by 18F-FDG-PET/CT before being surgically treated were collected in 3 centers and retrospectively reviewed for the purposes of this study. The SUVmax and the SUVmax/T index (the ratio tumor-SUVmax to tumor-size) have been matched with specific subgroups of the WHO-classification: low-risk thymomas (types A-AB-B1), high-risk thymomas (types B2-B3) and thymic carcinomas (type C). Results: There were 22 men and 25 women (age range: 31-84 yrs). Mean tumor size was 44.7 ± 19.0. mm. The WHO-classification was: type-A #2, type-AB #11, type-B1 #9, type-B2 #9, type-B3 #9 and type-C #7. The SUVmax and the SUVmax/T were found to be predictive factors useful to distinguish thymomas from thymic carcinomas (SUVmax: area under ROC-curve: 0.955, p= 0.0045; SUVmax/T-size: area under ROC-curve: 0.927, p= 0.0022). Moreover, both parameters were found to be correlated with the WHO malignancy grade (low-risk thymomas; high-risk thymomas; thymic carcinoma), Spearman correlation coefficients being 0.56 (p<0.0001) and 0.76 (p<0.0001), respectively for the SUVmax and for the SUVmax/T index. In addition, the SUVmax is also significantly correlated with Masaoka stage (Spearman correlation coefficient: 0.30, p= 0.0436). Conclusions: A significant relationship was observed between 18F-FDG-PET/CT findings and histologic WHO-classification for this cohort of thymic epithelial tumors. Thus, on the basis of these evidences, we infer that 18F-FDG-PET/CT may be useful to predict histology and the WHO classes of risk.
AB - Introduction: To investigate the performance of combined 18F-FDG-PET/CT as a predictor of the WHO-classification based malignancy grade in thymic epithelial tumors. Methods: From 05/06 to 02/12, the data of 47 patients with thymic epithelial tumors assessed by 18F-FDG-PET/CT before being surgically treated were collected in 3 centers and retrospectively reviewed for the purposes of this study. The SUVmax and the SUVmax/T index (the ratio tumor-SUVmax to tumor-size) have been matched with specific subgroups of the WHO-classification: low-risk thymomas (types A-AB-B1), high-risk thymomas (types B2-B3) and thymic carcinomas (type C). Results: There were 22 men and 25 women (age range: 31-84 yrs). Mean tumor size was 44.7 ± 19.0. mm. The WHO-classification was: type-A #2, type-AB #11, type-B1 #9, type-B2 #9, type-B3 #9 and type-C #7. The SUVmax and the SUVmax/T were found to be predictive factors useful to distinguish thymomas from thymic carcinomas (SUVmax: area under ROC-curve: 0.955, p= 0.0045; SUVmax/T-size: area under ROC-curve: 0.927, p= 0.0022). Moreover, both parameters were found to be correlated with the WHO malignancy grade (low-risk thymomas; high-risk thymomas; thymic carcinoma), Spearman correlation coefficients being 0.56 (p<0.0001) and 0.76 (p<0.0001), respectively for the SUVmax and for the SUVmax/T index. In addition, the SUVmax is also significantly correlated with Masaoka stage (Spearman correlation coefficient: 0.30, p= 0.0436). Conclusions: A significant relationship was observed between 18F-FDG-PET/CT findings and histologic WHO-classification for this cohort of thymic epithelial tumors. Thus, on the basis of these evidences, we infer that 18F-FDG-PET/CT may be useful to predict histology and the WHO classes of risk.
KW - PET-CT
KW - SUVmax
KW - Thymic neoplasms
KW - Thymoma
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U2 - 10.1016/j.lungcan.2013.08.003
DO - 10.1016/j.lungcan.2013.08.003
M3 - Article
C2 - 23992878
AN - SCOPUS:84887016449
SN - 0169-5002
VL - 82
SP - 245
EP - 251
JO - Lung Cancer
JF - Lung Cancer
IS - 2
ER -