Literature DB >> 20176406

Blood glucose level normalization and accurate timing improves the accuracy of PET-based treatment response predictions in rectal cancer.

Marco H M Janssen1, Michel C Ollers, Ruud G P M van Stiphout, Robert G Riedl, Jørgen van den Bogaard, Jeroen Buijsen, Philippe Lambin, Guido Lammering.   

Abstract

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.

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Year:  2010        PMID: 20176406     DOI: 10.1016/j.radonc.2010.01.021

Source DB:  PubMed          Journal:  Radiother Oncol        ISSN: 0167-8140            Impact factor:   6.280


  5 in total

1.  Analysis of CT features and quantitative texture analysis in patients with thymic tumors: correlation with grading and staging.

Authors:  Angelo Iannarelli; Beatrice Sacconi; Francesca Tomei; Marco Anile; Flavia Longo; Mario Bezzi; Alessandro Napoli; Luca Saba; Michele Anzidei; Giulia D'Ovidio; Roberto Scipione; Carlo Catalano
Journal:  Radiol Med       Date:  2018-01-06       Impact factor: 3.469

2.  Effect of blood glucose level on standardized uptake value (SUV) in 18F- FDG PET-scan: a systematic review and meta-analysis of 20,807 individual SUV measurements.

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

Review 3.  The use of FDG-PET to target tumors by radiotherapy.

Authors:  Guido Lammering; Dirk De Ruysscher; Angela van Baardwijk; Brigitta G Baumert; Jacques Borger; Ludy Lutgens; Piet van den Ende; Michel Ollers; Philippe Lambin
Journal:  Strahlenther Onkol       Date:  2010-08-30       Impact factor: 3.621

Review 4.  Radiomics: the process and the challenges.

Authors:  Virendra Kumar; Yuhua Gu; Satrajit Basu; Anders Berglund; Steven A Eschrich; Matthew B Schabath; Kenneth Forster; Hugo J W L Aerts; Andre Dekker; David Fenstermacher; Dmitry B Goldgof; Lawrence O Hall; Philippe Lambin; Yoganand Balagurunathan; Robert A Gatenby; Robert J Gillies
Journal:  Magn Reson Imaging       Date:  2012-08-13       Impact factor: 2.546

5.  Impact of Plasma Glucose Level at the Time of Fluorodeoxyglucose Administration on the Accuracy of FDG-PET/CT in the Diagnosis of Pancreatic Lesions.

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
  5 in total

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