» Articles » PMID: 23992878

Role of Combined 18F-FDG-PET/CT for Predicting the WHO Malignancy Grade of Thymic Epithelial Tumors: a Multicenter Analysis

Overview
Journal Lung Cancer
Specialty Oncology
Date 2013 Sep 3
PMID 23992878
Citations 14
Authors
Affiliations
Soon will be listed here.
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.

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).

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.

Citing Articles

The Role of [F]F-FDG PET/CT for Predicting Histology and Prognosis in Patients with Thymic Lesions.

Pizzuto D, Castello A, Chiappetta M, Castellani M, Annunziata S, Campanella A Mol Diagn Ther. 2025; 29(2):239-248.

PMID: 39777612 DOI: 10.1007/s40291-024-00767-1.


Imaging evaluation of thymic tumors.

Strange C, Truong M, Ahuja J, Strange T, Patel S, Marom E Mediastinum. 2023; 7:28.

PMID: 37701637 PMC: 10493619. DOI: 10.21037/med-22-58.


Is PET/CT Able to Predict Histology in Thymic Epithelial Tumours? A Narrative Review.

Chiappetta M, Mendogni P, Cattaneo M, Evangelista J, Farina P, Pizzuto D Diagnostics (Basel). 2023; 13(1).

PMID: 36611390 PMC: 9818128. DOI: 10.3390/diagnostics13010098.


Usefulness of positron-emission tomography for predicting the World Health Organization grade of thymic epithelial tumors.

Kanou T, Funaki S, Minami M, Ose N, Kimura T, Fukui E Thorac Cancer. 2022; 13(11):1651-1656.

PMID: 35460177 PMC: 9161332. DOI: 10.1111/1759-7714.14434.


Imaging Evaluation of Thymoma and Thymic Carcinoma.

Strange C, Ahuja J, Shroff G, Truong M, Marom E Front Oncol. 2022; 11:810419.

PMID: 35047412 PMC: 8762255. DOI: 10.3389/fonc.2021.810419.