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[Usefulness of metabolic volume and total lesion glycolysis for predicting therapeutic response in cancer therapy by 18F-FDG PET/CT]

Authors :
Shogo, Kiyohara
Shigeki, Nagamachi
Hideyuki, Wakamatsu
Ryuichi, Nishii
Seigo, Fujita
Shigemi, Futami
Shozo, Tamura
Source :
Kaku igaku. The Japanese journal of nuclear medicine. 47(4)
Publication Year :
2011

Abstract

The current study was done to evaluate the usefulness of predicting capability of FDG PET/CT indices in therapeutic response of malignant tumor.Series of FDG PET/CT were performed at both pre- and after therapy for 70 lesions of 58 patients with malignant tumor. Three months after the 2nd PET/CT, follow up CT was performed for determining the final therapeutic effect. We calculated various indices including SUVmax, the metabolic volume (MV) and the total lesion glycolysis (TLG). We calculated four kinds of indices, TLG50, TLG75, MV50 and MV75 based on the different threshold. Then we calculated deltaSUVmax, deltaMV50, deltaMV75, deltaTLG50 and deltaTLG75 from a change of these indices. Finally, we compared the predictive capability of these five indices in therapeutic response of malignant tumor.In the cancer therapy effect prediction, both deltaTLG75 and deltaTLG50 were significantly higher than SUVmax by using receiver operating-characteristic (ROC) curve analysis. The prognostic capability of deltaSUVmax for therapeutic response with sensitivity, specificity, positive predictive value, negative predictive value and accuracy were 85.7%, 59.5%, 58.5%, 86.2% and 70.0%; deltaTLG75 96.4%, 69.0%, 67.5%, 96.7% and 80.0%; and deltaTLG50 96.4%, 76.2%, 73.0%, 97.0% and 84.3%, respectively. By the use of deltaTLG75 or deltaTLG50, the predictive ability for therapeutic response improved significantly compared to that by the use of deltaSUVmax.In the prediction for therapeutic response of various cancers by using FDG PET/CT, Total lesion glycolysis (TLG) was the most useful index.

Details

ISSN :
00227854
Volume :
47
Issue :
4
Database :
OpenAIRE
Journal :
Kaku igaku. The Japanese journal of nuclear medicine
Accession number :
edsair.pmid..........e560221c92b7173987afe624148a6a23