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Oncology-Clinical Diagnosis: Solid TumorsClinical Diagnosis-Solid Tumors Posters |
1 Clinical Cooperation Unit Nuclear Medicine, German Cancer Research Center, Heidelberg, Germany; 2 Department of Internal Medicine V, University of Heidelberg, Heidelberg, Germany
1581
Objectives: To evaluate the FDG metabolism in patients (pts.) with high risk STS receiving chemotherapy with regard to the prediction of therapy outcome.
Methods: The evaluation includes 27 pts. with high grade STS. 14 pts. received an induction chemotherapy with adriamycin and ifosfamide (AIG, 6 cycles) and 13 pts. a preoperative chemotherapy with etoposide, ifosfamide and doxorubicin (EIA, 4 cycles). Pts. were examined prior to therapy and after the 1st cycle of AIG or the 2nd cycle of EIA respectively. The restaging data of 27 pts. (14 pts. with AIG and 13 pts. with EIA) served for reference including CT and/or MRI.
Results: According to RECIST criteria, 3 pts. showed no evidence of disease (NED), 6 partial remissions (PR), 13 stable diseases (SD), and 5 pts. progressive disease (PD). We dichotomized the data in pts. with NED/PR (n = 9) and SD/PD (n = 18). Median SUV prior therapy was 4.7 SUV (5.2 SUV for NED/PR and 3.8 SUV for SD/PD) in comparison to 3.0 SUV (4.0 SUV for NED/PR and 2.93 SUV for SD/PD) after chemotherapy. Median influx was 0.037 prior to chemotherapy in comparison to 0.014 following therapy. The change of kinetic parameters after chemotherapy was not statistically significant between the response-groups and nor between the studies. We used discriminant analysis (DA) to classify the patients into the two response groups. DA revealed a correct classification rate of 88 % using all kinetic data (absolute values) of both studies and 79% using the difference of all kinetic data.
Conclusions: On the basis of these results, kinetic FDG data are helpful for the prediction of chemo-sensitivity in patients with high risk sarcomas.
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