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High-Resolution Cardiac Positron Emission Tomography/Computed Tomography for Small Animals

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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.

Radiography (London, England : 1995)

|May 10, 2025

Summary

This summary is machine-generated.

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.

Keywords:

(99m)Tc-MAA Quantitative Right–left shunt SPECT/CT Shunt fraction

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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.