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Role of combined 18F-FDG-PET/CT for predicting the WHO malignancy grade of thymic epithelial tumors: a multicenter analysis.
- Source :
-
Lung cancer (Amsterdam, Netherlands) [Lung Cancer] 2013 Nov; Vol. 82 (2), pp. 245-51. Date of Electronic Publication: 2013 Aug 13. - Publication Year :
- 2013
-
Abstract
- Introduction: To investigate the performance of combined (18)F-FDG-PET/CT as a predictor of the WHO-classification based malignancy grade in thymic epithelial tumors.<br />Methods: From 05/06 to 02/12, the data of 47 patients with thymic epithelial tumors assessed by (18)F-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).<br />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 (18)F-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 (18)F-FDG-PET/CT may be useful to predict histology and the WHO classes of risk.<br /> (Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.)
- Subjects :
- Adult
Aged
Aged, 80 and over
Female
Humans
Male
Middle Aged
Neoplasm Grading
Neoplasm Staging
Neoplasms, Glandular and Epithelial pathology
Neoplasms, Glandular and Epithelial surgery
Prognosis
ROC Curve
Retrospective Studies
Thymus Neoplasms pathology
Thymus Neoplasms surgery
Tumor Burden
Fluorodeoxyglucose F18
Neoplasms, Glandular and Epithelial diagnosis
Positron-Emission Tomography
Thymus Neoplasms diagnosis
Tomography, X-Ray Computed
Subjects
Details
- Language :
- English
- ISSN :
- 1872-8332
- Volume :
- 82
- Issue :
- 2
- Database :
- MEDLINE
- Journal :
- Lung cancer (Amsterdam, Netherlands)
- Publication Type :
- Academic Journal
- Accession number :
- 23992878
- Full Text :
- https://doi.org/10.1016/j.lungcan.2013.08.003