Abstract

BackgroundAbsolute quantitative single-photon emission computed tomography (SPECT) has several important applications including monitoring tumor response after treatment and dose estimation for targeted radionuclide therapy treatment planning. Obtaining quantitative SPECT images in absolute activity units requires the use of a calibration factor, and the repeatability of this directly affects the repeatability of image quantification. This study focused on evaluating the factors affecting the repeatability of a calibration factor measured using a planar image of an in-air calibration source.MethodsThe calibration factors calculated as part of 131I-tositumomab patient dosimetry scans used in treatment planning performed over a 4-year period were retrospectively analyzed. Raw data included total counts in whole-body images of a radioactive calibration source, the activity of the source measured in a radionuclide activity meter (often referred to as a dose calibrator), and the background count rate obtained at three time points for each patient. The count rate from extrinsic flood source acquisitions and radionuclide activity meter constancy obtained on the same day as each image were also used. The data were analyzed statistically using a mixed-effects model to determine the factors affecting variations in the measured calibration factors.ResultsThe global variability in the calibration factor was equal to 2.3% and was decreased by 20% to 1.8%, when the decay-corrected measurements of calibration source activity were averaged over the three time points for each patient. Camera sensitivity variation measured using a 57Co sheet source was small and had a weak relationship to calibration factor variations. When the averaged source activity was used, the main source of variance was related to preparation and measurement of the source (77%). Radionuclide activity meter constancy had a smaller but statistically significant impact on the calibration factor.ConclusionsThis study indicates that calibration factors based on planar measurements have good reproducibility. The findings of this study indicate (1) the importance of accurate and precise preparation and measurement of the calibration source activity, (2) the need to carefully control background activity during calibration factor assessment and patient data acquisition, and (3) that the calibration factor and camera sensitivity were stable over time, indicating that careful but less frequent calibration is needed.

Highlights

  • Absolute quantitative single-photon emission computed tomography (SPECT) has several important applications including monitoring tumor response after treatment and dose estimation for targeted radionuclide therapy treatment planning

  • All time points for which a value of the calibration factor, radionuclide activity meter constancy, or intrinsic flood was not all available were excluded from the analysis, leading to 91 acquisitions for 41 calibration sources

  • This study investigated the factors affecting the variability of the calibration factor estimated using a method based on planar imaging of a small in-air calibration source, a method applied clinically for planar dosimetry in a number of therapy applications

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Summary

Introduction

Absolute quantitative single-photon emission computed tomography (SPECT) has several important applications including monitoring tumor response after treatment and dose estimation for targeted radionuclide therapy treatment planning. The count rate from extrinsic flood source acquisitions and radionuclide activity meter constancy obtained on the same day as each image were used. Because of the simplicity of the in-air source measurement, Frey et al [12] recommended the first method when attenuation, scatter, and collimator-detector response are accurately compensated for in the SPECT reconstruction process The simplicity of this approach has some potential advantages in terms of repeatability and is well suited to routine monitoring for changes in the calibration factor. Σ2γBkR is the variance of the zero-mean normal distribution representing the background count rate contribution. BkRik is the standardized background count rate for source i and day k. Y_BkRik denotes the standardized background count rate for calibration source i and day k, μBkR is the mean value, and α_BkRi is the subject-specific effect. ΜSR is the mean, and α_SRi is the random intercept representing a contribution specific to calibration source i. The effect of the background count rate variance on the calibration source count rate was close to zero and very small compared to the inter-calibration source and intra-calibration source variance estimates

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