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High-Resolution Cardiac Positron Emission Tomography/Computed Tomography for Small Animals
Published on: December 16, 2022
New method for measuring right-left shunt fraction by quantitative analysis using SPECT/CT images
Y Nojima1, Y Yamazaki1, S Sato2
1Graduate School of Health Sciences, Niigata University, 2-746 Asahimachi-dori, Chuo-ku, Niigata, 951-8518, Japan.
A new quantitative method using SPECT/CT accurately measures right-left shunt fraction. This advanced technique improves diagnostic accuracy for shunts compared to traditional whole-body imaging.
Area of Science:
- Nuclear Medicine
- Radiology
- Medical Imaging
Background:
- A quantitative method for measuring right-left shunt fraction using SPECT/CT images was developed.
- Pulmonary perfusion scintigraphy is a key diagnostic tool.
Purpose of the Study:
- To devise and validate a quantitative method for measuring right-left shunt fraction using SPECT/CT.
- To compare the accuracy of the quantitative method with whole-body planar imaging.
Main Methods:
- 43 patients underwent pulmonary perfusion scintigraphy with 99mTc-macroaggregated albumin.
- Quantitative analysis calculated lung radioactivity dose and lung uptake proportion.
- Right-left shunt fraction was determined by subtracting lung uptake from total dose and compared to whole-body imaging results.
Main Results:
- No significant difference was found between methods in cases without shunts (p = 0.55).
- In cases with shunts, the quantitative method showed a significantly higher shunt fraction (29.1% ± 10.2%) compared to whole-body imaging (19.0% ± 6.0%, p < 0.05).
- The quantitative method achieved an AUC of 0.948 and 93.0% accuracy with a 19%-22% threshold.
Conclusions:
- The quantitative SPECT/CT method significantly improves shunt fraction measurement accuracy compared to whole-body imaging when shunts are present.
- An accuracy exceeding 90% is achievable with a threshold range of 19%-22%, indicating clinical utility for diagnosis.
- This method aids in assessing shunt severity, evaluating treatment, and imaging challenging cases, with expected clinical application.
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