OBJECTIVES Nuclear Medicine is a quantitative imaging modality. However, until recently, quantitative single photon emission computed tomography (SPECT) has been limited to ratios or comparisons to databases, or indeed volume… Click to show full abstract
OBJECTIVES Nuclear Medicine is a quantitative imaging modality. However, until recently, quantitative single photon emission computed tomography (SPECT) has been limited to ratios or comparisons to databases, or indeed volume measurements, and therefore has not truly quantified uptake in areas of interest. Following the growth of dosimetry associated with nuclear medicine therapies, tools to perform quantitative SPECT in terms of kBq/cc or standardised uptake value (SUV) have become more readily available, although its use does not appear to be widespread. The aim of this study was to get a snapshot of quantitative SPECT use, and to determine where the future of this technology may lie. METHODS The data for this survey were collected through a web-based form made available at a national quantitative SPECT meeting, and later distributed to the UK nuclear medicine community. A series of questions looking at current practice, technique and future thoughts were presented to respondents in the form of multiple-choice questions where single and multiple selections could be made. RESULTS The responses showed significant use of quantitative SPECT for established techniques, in alignment with the prevalence of the relevant imaging studies. There was a significant minority of respondents performing kBq/cc and SUV SPECT, and SPECT for radionuclide therapy dosimetry. Technique for quantitative SPECT varied significantly typically but nevertheless the predicted future for quantitative SPECT was positive: particularly for kBq/cc and SUV SPECT. Impediments to the success of the technology were mostly around software availability and uncertainties around usefulness. CONCLUSION The results of this survey suggest that the future of truly quantitative SPECT looks promising.
               
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