NDLI: CT-based quantitative SPECT for the radionuclide 201Tl: experimental validation and a standardized uptake value for brain tumour patients

Content Provider	PubMed Central
Author	Kathy, Willowson Bailey, Dale Schembri, Geoff Baldock, Clive
Copyright Year	2012
Abstract	We have previously reported on a method for reconstructing quantitative data from 99mTc single photon emission computed tomography (SPECT) images based on corrections derived from X-ray computed tomography, producing accurate results in both experimental and clinical studies. This has been extended for use with the radionuclide 201Tl. Accuracy was evaluated with experimental phantom studies, including corrections for partial volume effects where necessary. The quantitative technique was used to derive standardized uptake values (SUVs) for 201Tl evaluation of brain tumours. A preliminary study was performed on 26 patients using 201Tl SPECT scans to assess residual tumour after surgery and then to monitor response to treatment, with a follow-up time of 18 months. Measures of SUVmax were made following quantitative processing of the data and using a threshold grown volume of interest around the tumour. Phantom studies resulted in the calculation of concentration values consistently within 4% of true values. No continuous relation was found between SUVmax (post-resection) and patient survival. Choosing an SUVmax cut-off of 1.5 demonstrated a difference in survival between the 2 groups of patients after surgery. Patients with an SUVmax <1.5 had a 70% survival rate over the first 10 months, compared with a 47% survival rate for those with SUVmax >1.5. This difference did not achieve significance, most likely due to the small study numbers. By 18 months follow-up this difference had reduced, with corresponding survival rates of 40% and 27%, respectively. Although this study involves only a small cohort, it has succeeded in demonstrating the possibility of an SUV measure for SPECT to help monitor response to treatment of brain tumours and predict survival.
Related Links	http://dx.doi.org/10.1102/1470-7330.2012.0005
Ending Page	40
Page Count	10
Starting Page	31
File Format	PDF
ISSN	14707330
e-ISSN	14707330
Journal	Cancer Imaging
Issue Number	1
Volume Number	12
Language	English
Publisher	e-Med
Publisher Date	2012-01-01
Access Restriction	Open
Rights Holder	e-Med
Subject Keyword	Radiological and Ultrasound Technology Oncology Radiology Nuclear Medicine and imaging Research in Higher Education
Content Type	Text
Resource Type	Article
Subject	Radiology, Nuclear Medicine and Imaging Radiological and Ultrasound Technology Oncology

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