Absolute radiotracer concentration measurement using whole-body solid-state SPECT/CT technology: in vivo/in vitro validation.
John A KennedyIlya ReizbergRachel LugassiShoham HimmelmanZohar KeidarPublished in: Medical & biological engineering & computing (2019)
The accuracy of recently approved quantitative clinical software was determined by comparing in vivo/in vitro measurements for a solid-state cadmium-zinc-telluride SPECT/CT (single photon emission computed tomography/x-ray computed tomography) camera. Bone SPECT/CT, including the pelvic region in the field of view, was performed on 16 patients using technetium-99m methylene diphosphonic acid as a radiotracer. After imaging, urine samples from each patient provided for the measurement of in vitro radiopharmaceutical concentrations. From the SPECT/CT images, three users measured in vivo radiotracer concentration and standardized uptake value (SUV) for the bladder using quantitative software (Q.Metrix, GE Healthcare). Linear regression was used to validate any in vivo/in vitro identity relations (ideally slope = 1, intercept = 0), within a 95% confidence interval (CI). Thirteen in vivo/in vitro pairs were available for further analysis, after rejecting two as clinically irrelevant (SUVs > 100 g/mL) and one as an outlier (via Cook's distance calculations). All linear regressions (R2 ≥ 0.85, P < 0.0001) provided identity in vivo/in vitro relations (95% CI), with SUV averages from all users giving a slope of 0.99 ± 0.25 and intercept of 0.14 ± 5.15 g/mL. The average in vivo/in vitro residual difference was < 20%. Solid-state SPECT/CT imaging can reliably provide in vivo urinary bladder radiotracer concentrations within approximately 20% accuracy. This practical, non-invasive, in vivo quantitation method can potentially improve diagnosis and assessment of response to treatment. Graphical abstract.
Keyphrases
- solid state
- dual energy
- computed tomography
- image quality
- contrast enhanced
- positron emission tomography
- high resolution
- pet ct
- healthcare
- pet imaging
- magnetic resonance imaging
- end stage renal disease
- ejection fraction
- newly diagnosed
- prognostic factors
- optical coherence tomography
- body composition
- deep learning
- rectal cancer
- magnetic resonance
- heavy metals
- peritoneal dialysis
- patient reported
- molecular dynamics simulations
- health insurance
- molecular dynamics
- social media
- fluorescence imaging
- health information