Entity

Time filter

Source Type

East Melbourne, Australia

Fathinul F.,University Putra Malaysia | Nordin A.J.,University Putra Malaysia | Lau W.F.E.,University of Melbourne | Lau W.F.E.,Center for Molecular Imaging
Cell Biochemistry and Biophysics | Year: 2013

Molecular imaging employing 18[F]FDG-PET/CT enables in-vivo visualization, characterisation and measurement of biological process in tumour at the molecular and cellular level. In oncology, this approach can be directly applied as translational biomarkers of disease progression. In this article, the improved roles of FDG as an in-vivo glycolytic marker which reflect biological changes across in-vitro cellular environment are discussed. New understanding in how altered metabolism via glycolytic downstream drivers of malignant transformation as reviewed below offers unique promise as to monitor tumour aggressiveness and hence optimize the therapeutic management. © 2012 Springer Science+Business Media, LLC. Source


Aide N.,Francois Baclesse Cancer Center | Aide N.,University of Caen Lower Normandy | Visser E.P.,Radboud University Nijmegen | Lheureux S.,University of Caen Lower Normandy | And 4 more authors.
European Journal of Nuclear Medicine and Molecular Imaging | Year: 2012

Over the last decade, small-animal PET imaging has become a vital platform technology in cancer research. With the development of molecularly targeted therapies and drug combinations requiring evaluation of different schedules, the number of animals to be imaged within a PET experiment has increased. This paper describes experimental design requirements to reach statistical significance, based on the expected change in tracer uptake in treated animals as compared to the control group, the number of groups that will be imaged, and the expected intra-animal variability for a given tracer. We also review how high-throughput studies can be performed in dedicated small-animal PET, high-resolution clinical PET systems and planar positron imaging systems by imaging more than one animal simultaneously. Customized beds designed to image more than one animal in large-bore small-animal PET scanners are described. Physics issues related to the presence of several rodents within the field of view (i.e. deterioration of spatial resolution and sensitivity as the radial and the axial offsets increase, respectively, as well as a larger effect of attenuation and the number of scatter events), which can be assessed by using the NEMA NU 4 image quality phantom, are detailed. © 2012 The Author(s). Source


Feyen O.,TAVARLIN AG | Coy J.F.,TAVARLIN AG | Prasad V.,Center for Molecular Imaging | Prasad V.,Charite University Hospital | And 3 more authors.
Future Oncology | Year: 2012

Aim: To determine whether the TKTL1 protein epitope detection in monocytes (EDIM) test allows detection of upregulated glucose metabolism in malignancies. Materials & methods: The EDIM-TKTL1 blood test was conducted in 240 patients with 17 different confirmed or suspected malignancies. Test scores were compared with 18F-fluoro-2-deoxy-D-glucose (FDG)-PET/computed tomography (CT) results. Results: EDIM-TKTL1 score and FDG-PET results showed a concordance of 90% with a sensitivity of 94% and specificity of 81%. Including CT data, all values were enhanced. A subgroup analysis of non-small-cell lung cancer patients showed a significant correlation between the EDIM-TKTL1 score and the primary tumor size determined by FDG-PET/CT. Conclusion: EDIM-TKTL1 blood test revealed good concordance with FDG-PET/CT results in patients with malignancies demonstrating its efficacy to detect upregulation of glucose metabolism in primary tumors or metastases. © 2012 Oliver Feyen. Source


Lin M.-Y.,Peter MacCallum Cancer Center | Wu M.,Peter MacCallum Cancer Center | Brennan S.,Peter MacCallum Cancer Center | Campeau M.-P.,Peter MacCallum Cancer Center | And 5 more authors.
Journal of Thoracic Oncology | Year: 2014

INTRODUCTION: A recent meta-analysis suggested that patients with non-small-cell lung cancer (NSCLC) whose primary tumors have a higher standardized uptake value (SUV) derived from F-fluorodeoxyglucose positron emission tomography (PET) have a worse prognosis in comparison with those with tumors with lower values. However, previous analyses have had methodological weaknesses. Furthermore, the prognostic significance over the full range of SUV values in patients treated nonsurgically remains unclear. The aim of this retrospective study was to investigate the relationship between survival and maximum SUV (SUVmax) analyzed as a continuous variable, in patients with NSCLC, staged using PET/computed tomography (CT) and treated with radiotherapy with or without chemotherapy. METHODS: Eligible patients had a histological diagnosis of NSCLC, were treated with radical radiotherapy with or without chemotherapy as their primary treatment, and had pretreatment PET/CT scans. SUVmax, defined as the maximum pixel SUV value retrieved from the primary tumor, was analyzed primarily as a continuous variable for overall survival. RESULTS: Eighty-eight patients met eligibility criteria: stage I, 19; stage II, 10; and stage III, 59. Median SUVmax was 15.0 (range, 2.5-56). Higher stage was associated with higher SUVmax values (p = 0.048). In univariate analysis, there was no evidence of a prognostic effect of SUVmax (hazard ratio per doubling = 0.83; 95% confidence interval, 0.62-1.11; p = 0.22). Analyzing SUVmax as a dichotomous variable (median cut point = 15.0), the hazard ratio (high: low) for risk of death was 0.71, with p = 0.18 (95% confidence interval, 0.44-1.15). CONCLUSIONS: In this cohort of patients, increasing SUVmax derived from F-fluorodeoxyglucose-PET/CT was associated with increasing tumor, node, metastasis (TNM) stage. We found no evidence of an association of increasing SUVmax with a shorter survival. Previous reports of an association between prognosis and SUVmax may partly be the result of methodological differences between this study and previous reports and an association between stage and SUVmax. Copyright © 2014 by the International Association for the Study of Lung Cancer. Source


Callahan J.,Center for Molecular Imaging | Binns D.,Center for Molecular Imaging | Dunn L.,RMIT University | Kron T.,Peter MacCallum Cancer Center
Australasian Physical and Engineering Sciences in Medicine | Year: 2011

To assess the effect of lesion motion and respiration rate on Standardised Uptake Value (SUV) and the ability of 4D PET to restore any loss in SUV and distortion of lesion volume on two PET/CT systems. A Perspex phantom with four cylindrical reservoirs filled with 18F-FDG was used in this study. The cylinders measured 5, 10, 15, and 20 mm in diameter. A GE Discovery STE8 (GE Medical Systems Milwaukee, WI) and a Siemens Biograph 64/40 (Siemens Medical Solutions, Erlangen, Germany) scanner was used to acquire a stationary un-gated PET scan of the phantom. Multiple 10 min list mode 4D PET scans were acquired using the Varian RPM on the GE camera and the Anzai Gating system on the Siemens camera. The phantom was scanned at five different respiratory rates and motion amplitudes in a sinusoidal fashion, 15 RPM/1 cm, 15 RPM/2 cm, 15 RPM/4 cm, 30 RPM/2 cm and 7.5 RPM/2 cm (RPM-respirations per minute). Each scan was reconstructed into ten bins and as an un-gated static image. The SUVmax, SUVmean and volume were measured for all four reservoirs using Siemens TrueD analysis software. With increasing lesion movement the SUVmax and SUVmean decreased and the volume increased with the SUVmax in the smallest lesion underestimated by up to a factor of four. The SUVmax, SUVmean and volume were mostly recovered using 4D imaging regardless of amount of lesion displacement. The larger lesions showed better count recovery and volume correction than the smaller lesions. The respiratory rate had no effect of SUV or volume. Un-gated imaging of moving lesions decreases apparent SUV in small lesions significantly and overestimates volumes. 4D PET scanning recovers most of the apparent loss in SUV and distortion of volumes. © 2011 Australasian College of Physical Scientists and Engineers in Medicine. Source

Discover hidden collaborations