Abstract
Background
131I radioactive iodine therapy (RAI) has been commonly applied for metastatic differentiated thyroid cancer (DTC) and played an adjunctive role to total thyroidectomy. However, there is no reliable method to predict therapeutic response to RAI in metastatic DTC. Several studies showed potential use of 18F-fluorodeoxyglucose positron emission tomography (18F-FDG PET) in lesion detection or therapeutic response prediction of DTC. Thus we aimed to evaluate the feasibility of 18F-FDG PET for the prediction of therapeutic response to RAI in patients with metastatic DTC.
Methods
We retrospectively evaluated 29 adult patients with metastatic DTC who underwent RAI after total thyroidectomy. 18F-FDG PET/CT was performed within three months before RAI, and the maximum, average and sum of each maximum standardized uptake value (SUVmax), metabolic tumor volume (MTV) and total lesion glycolysis (TLG) were assessed. Therapeutic response to RAI was categorized into the progressive disease (PD) or non-progressive disease (Non-PD), based on the Response Evaluation Criteria in Solid Tumor (RECIST) 1.1 using pre- and post-therapeutic computed tomography (CT) or magnetic resonance imaging (MRI) images. The area under curve (ROC) analyses were performed to evaluate their predictive potentials of therapeutic response to RAI.
Results
Among 29 patients (12 men; median age, 62.4 y.o.; range, 26–81), eight patients were classified into PD and 21 were into Non-PD. PD patients showed a significantly higher maximum, average and sum SUVmax, MTV and TLG before RAI, compared to the Non-PD group (p < 0.05). Among all the 18F-FDG PET/CT parameters, maximum SUVmax showed the highest sensitivity and positive predictive value (PPV) in predicting treatment response to RAI. With a cutoff value of 9.12, the highest area under curve (AUC) of 0.98 was obtained to differentiate between PD and Non-PD patients.
Conclusions
18F-FDG PET/CT before RAI was a useful predictor of therapeutic response to RAI, and maximum SUVmax was the most sensitive parameter.
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; Achmad, Arifudin 2 ; Bhattarai, Anu 1 ; Tomonaga, Hiroyasu 1 ; Thu, Huong Nguyen 1 ; Yamaguchi, Aiko 3 ; Hirasawa, Hiromi 1 ; Taketomi-Takahashi, Ayako 1 ; Tsushima, Yoshito 4 1 Gunma University Graduate School of Medicine, Department of Diagnostic Radiology and Nuclear Medicine, Maebashi, Japan (GRID:grid.256642.1) (ISNI:0000 0000 9269 4097)
2 Gunma University Graduate School of Medicine, Department of Diagnostic Radiology and Nuclear Medicine, Maebashi, Japan (GRID:grid.256642.1) (ISNI:0000 0000 9269 4097); Universitas Padjadjaran, Department of Nuclear Medicine and Molecular Imaging, Faculty of Medicine, Bandung, Indonesia (GRID:grid.11553.33) (ISNI:0000 0004 1796 1481); Universitas Padjadjaran, Oncology and Stem Cell Working Group, Faculty of Medicine, Bandung, Indonesia (GRID:grid.11553.33) (ISNI:0000 0004 1796 1481)
3 Gunma University Graduate School of Medicine, Department of Bioimaging Information Analysis, Maebashi, Japan (GRID:grid.256642.1) (ISNI:0000 0000 9269 4097)
4 Gunma University Graduate School of Medicine, Department of Diagnostic Radiology and Nuclear Medicine, Maebashi, Japan (GRID:grid.256642.1) (ISNI:0000 0000 9269 4097); Gunma University Initiative for Advanced Research (GIAR), Research Program for Diagnostic and Molecular Imaging Division of Integrated Oncology Research, Maebashi, Japan (GRID:grid.256642.1) (ISNI:0000 0000 9269 4097)




