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Published on: January 30, 2020
Differences in attenuation pattern in myocardial SPECT between CZT and conventional gamma cameras
Jenny Oddstig1,2, Elin Martinsson3, Jonas Jögi4
1Department of Radiation Physics, Skåne University Hospital, Lund, Sweden. jenny.oddstig@skane.se.
New multi-pinhole cadmium zinc telluride (CZT) cameras shift attenuation artifacts in myocardial perfusion imaging (MPI) SPECT. While larger in extent, these artifacts are less deep, potentially improving diagnostic accuracy.
Area of Science:
- Medical Imaging
- Nuclear Cardiology
- Diagnostic Radiology
Background:
- Myocardial perfusion imaging (MPI) using single-photon emission tomography (SPECT) can be affected by soft-tissue attenuation artifacts.
- These artifacts, caused by the abdomen, breasts, and chest wall, can mimic true perfusion defects, leading to misdiagnosis.
Purpose of the Study:
- To compare the localization, extent, and depth of attenuation artifacts in MPI SPECT between a multi-pinhole cadmium zinc telluride (CZT) camera and a conventional gamma camera.
Main Methods:
- Phantom and patient studies were conducted using both a CZT camera (GE NM 530c) and a conventional gamma camera (GE Ventri).
- Attenuation correction was performed using externally acquired low-dose computed tomography.
- Artifacts were quantified by comparing attenuation-corrected and non-attenuation-corrected images to determine localization, extent, and depth.
Main Results:
- The CZT camera shifted attenuation artifacts from the inferolateral to the lateral wall compared to the conventional camera.
- Artifact extent was significantly larger with the CZT camera (23% ± 5% vs. 15% ± 5%, P < .001) in patients.
- Artifact depth was less pronounced with the CZT camera (72% ± 3% vs. 68% ± 4%, P < .001) in patients.
Conclusions:
- Attenuation artifacts differ in location, extent, and depth between CZT and conventional gamma cameras in MPI SPECT.
- These differences necessitate careful consideration during the evaluation of MPI SPECT studies.
- Understanding these variations is crucial to avoid misinterpreting myocardial perfusion distribution.
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