PURPOSE: To quantify the influence of fluctuating blood glucose level (BGLs) and the timing of PET acquisition on PET-based predictions of the pathological treatment response in rectal cancer. MATERIAL AND METHODS: Thirty patients, diagnosed with locally advanced-rectal-cancer (LARC), were included in this prospective study. Sequential FDG-PET-CT investigations were performed at four time points during and after pre-operative radiochemotherapy (RCT). All PET-data were normalized for the BGL measured shortly before FDG injection. The metabolic treatment response of the tumor was correlated with the pathological treatment response. RESULTS: During RCT, strong intra-patient BGL-fluctuations were observed, ranging from -38.7 to 95.6%. BGL-normalization of the SUVs revealed differences ranging from -54.7 to 34.7% (p < 0.001). Also, a SUV(max) time-dependency of 1.30 +/- 0.66 every 10 min (range: 0.39-2.58) was found during the first 60 min of acquisition. When correlating the percent reduction of SUV(max) after 2 weeks of RCT with the pathological treatment response, a significant increase (p = 0.027) in the area under the curve of ROC-curve analysis was found when normalizing the PET-data for the measured BGLs, indicating an increase of the predictive strength. CONCLUSIONS: This study strongly underlines the necessity of BGL-normalization of PET-data and a precise time-management between FDG injection and the start of PET acquisition when using sequential FDG-PET-CT imaging for the prediction of pathological treatment response. Copyright 2010 Elsevier Ireland Ltd. All rights reserved.
PURPOSE: To quantify the influence of fluctuating blood glucose level (BGLs) and the timing of PET acquisition on PET-based predictions of the pathological treatment response in rectal cancer. MATERIAL AND METHODS: Thirty patients, diagnosed with locally advanced-rectal-cancer (LARC), were included in this prospective study. Sequential FDG-PET-CT investigations were performed at four time points during and after pre-operative radiochemotherapy (RCT). All PET-data were normalized for the BGL measured shortly before FDG injection. The metabolic treatment response of the tumor was correlated with the pathological treatment response. RESULTS: During RCT, strong intra-patientBGL-fluctuations were observed, ranging from -38.7 to 95.6%. BGL-normalization of the SUVs revealed differences ranging from -54.7 to 34.7% (p < 0.001). Also, a SUV(max) time-dependency of 1.30 +/- 0.66 every 10 min (range: 0.39-2.58) was found during the first 60 min of acquisition. When correlating the percent reduction of SUV(max) after 2 weeks of RCT with the pathological treatment response, a significant increase (p = 0.027) in the area under the curve of ROC-curve analysis was found when normalizing the PET-data for the measured BGLs, indicating an increase of the predictive strength. CONCLUSIONS: This study strongly underlines the necessity of BGL-normalization of PET-data and a precise time-management between FDG injection and the start of PET acquisition when using sequential FDG-PET-CT imaging for the prediction of pathological treatment response. Copyright 2010 Elsevier Ireland Ltd. All rights reserved.
Authors: Mahsa Eskian; Abass Alavi; MirHojjat Khorasanizadeh; Benjamin L Viglianti; Hans Jacobsson; Tara D Barwick; Alipasha Meysamie; Sun K Yi; Shingo Iwano; Bohdan Bybel; Federico Caobelli; Filippo Lococo; Joaquim Gea; Antonio Sancho-Muñoz; Jukka Schildt; Ebru Tatcı; Constantin Lapa; Georgia Keramida; Michael Peters; Raef R Boktor; Joemon John; Alexander G Pitman; Tomasz Mazurek; Nima Rezaei Journal: Eur J Nucl Med Mol Imaging Date: 2018-10-22 Impact factor: 9.236
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Authors: Alireza Hamidian Jahromi; Mohammad Kazem Fallahzadeh; Amol Takalkar; Jean Sheng; Gazi Zibari; Hosein Shokouh Amiri Journal: Int J Endocrinol Metab Date: 2014-10-01