Comparison of non-attenuation corrected and attenuation corrected myocardial perfusion SPECT

Raza, Hasan; Jadoon, Lubna Khan; Mushtaq, Sumaira; Jabeen, Aneeqa; Maqbool, Minhaj; Ain, Musarrat Ul; Bourazza, Ahmed; Memon, Muhammad Ali

doi:10.1016/j.ejrnm.2016.05.006

Cited by 7 publications

(6 citation statements)

References 27 publications

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“…Twelve studies used CTAC, seven studies used RAC ( 19 , 27 , 29 , 31 – 34 ), two studies used AC with segmentation of scatter and photo-peak window data (SSPAC) ( 35 , 36 ), and one study used computer-generated Chang AC ( 30 ). The detailed characteristics of each study are shown in Table 1 ( 13 – 16 , 19 , 20 , 26 – 41 ).…”

Section: Resultsmentioning

confidence: 99%

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Diagnostic Effect of Attenuation Correction in Myocardial Perfusion Imaging in Different Coronary Arteries: A Systematic Review and Meta-Analysis

Huang

Yen

et al. 2021

Front. Cardiovasc. Med.

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Background: The aim of this study was to determine whether, and if so how, attenuation correction (AC) improves the diagnostic performance of myocardial perfusion imaging (MPI) in different coronary artery-supplied territories, using coronary angiography as the reference standard.Methods: PubMed and EMBASE were searched until December 2020 for studies evaluating AC MPI for the diagnosis of coronary artery disease (CAD) with vessel-based data. Methodological quality was assessed using the Quality Assessment of Diagnostic Accuracy Studies tool. For each study, the sensitivity, specificity, diagnostic odds ratios and areas under summary receiver operating characteristic curves (AUC) with 95% confidence intervals were calculated to determine the diagnostic accuracy of AC compared to non-AC MPI. A bivariate mixed-effects model was used to pool the data. Subgroup analyses considering the type of radiotracer and type of AC were performed.Results: A total of 264 articles were screened, of which 22 studies (2,608 patients) were enrolled. Significant improvements in specificity [0.78 vs. 0.58 in overall CAD, 0.87 vs. 0.61 in right coronary artery (RCA)] and diagnostic odds ratios (16 vs. 8 in overall CAD, 18 vs. 7 in RCA) after AC were shown in overall CAD at a patient level and RCA stenosis. Improvements in AUC were also noted. MPI had a similar diagnostic performance for detecting left anterior descending and left circumflex coronary artery stenosis with or without AC. There were trends of decreased sensitivity after AC, but none were significant. Diagnostic odds ratio showed significant improvement after AC only in the technetium-99m subgroup.Conclusion: The results of this study suggest that AC should be applied to MPI to improve the diagnosis of CAD regardless of which type of radiotracer, and that AC MPI can improve the specificity of detecting RCA stenosis.

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Section: Resultsmentioning

confidence: 99%

“…After full text review, 49 additional articles were excluded, and the reasons are shown in Figure 1. Three studies were included after manually checking the reference lists (19,26,27). The flowchart of study selection is shown in Figure 1.…”

Section: Study Characteristicsmentioning

confidence: 99%

Diagnostic Effect of Attenuation Correction in Myocardial Perfusion Imaging in Different Coronary Arteries: A Systematic Review and Meta-Analysis

Huang

Yen

et al. 2021

Front. Cardiovasc. Med.

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“…The diaphragm in men, breast in women, lateral chest walls, and abdomen in patients with large body mass index can be the most common source of photon attenuation artifacts in myocardial perfusion SPECT imaging. The photon attenuation is more significant at the low energy photons which reduces the true value of activity concentration and may present with a pseudo perfusion or metabolism defect [5,9,10].…”

Section: Introductionmentioning

confidence: 99%

“…Since the advent of the hybrid SPECT and CT scanners, combining these two modalities into a single imaging system, CTbased AC has become the commonly used and standard AC approach in SPECT imaging. This method besides providing high-resolution structural images (complementary anatomical information to functional imaging) is able to generate patient-specific AC maps with relatively low noise and high image quality [10]. However, CT-based AC maps may suffer from misalignment errors between emission and transmission scans due to involuntary or voluntary patient movements as well as increased patients' radiation dose [17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Deep learning-guided attenuation correction in the image domain for myocardial perfusion SPECT imaging

Mostafapour

Gholamiankhah

Maroufpour

et al. 2022

Journal of Computational Design and Engineering

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We investigate the accuracy of direct attenuation correction (AC) in the image domain for myocardial perfusion SPECT (single-photon emission computed tomography) imaging (MPI-SPECT) using residual (ResNet) and UNet deep convolutional neural networks. MPI-SPECT 99mTc-sestamibi images of 99 patients were retrospectively included. UNet and ResNet networks were trained using non-attenuation-corrected SPECT images as input, whereas CT-based attenuation-corrected (CT-AC) SPECT images served as reference. Chang’s calculated AC approach considering a uniform attenuation coefficient within the body contour was also implemented. Clinical and quantitative evaluations of the proposed methods were performed considering SPECT CT-AC images of 19 subjects (external validation set) as reference. Image-derived metrics, including the voxel-wise mean error (ME), mean absolute error, relative error, structural similarity index (SSI), and peak signal-to-noise ratio, as well as clinical relevant indices, such as total perfusion deficit (TPD), were utilized. Overall, AC SPECT images generated using the deep learning networks exhibited good agreement with SPECT CT-AC images, substantially outperforming Chang’s method. The ResNet and UNet models resulted in an ME of −6.99 ± 16.72 and −4.41 ± 11.8 and an SSI of 0.99 ± 0.04 and 0.98 ± 0.05, respectively. Chang’s approach led to ME and SSI of 25.52 ± 33.98 and 0.93 ± 0.09, respectively. Similarly, the clinical evaluation revealed a mean TPD of 12.78 ± 9.22% and 12.57 ± 8.93% for ResNet and UNet models, respectively, compared to 12.84 ± 8.63% obtained from SPECT CT-AC images. Conversely, Chang’s approach led to a mean TPD of 16.68 ± 11.24%. The deep learning AC methods have the potential to achieve reliable AC in MPI-SPECT imaging.

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“…The quality of images obtained from the nuclear medicine imaging systems is affected by different factors such as the physical properties of detector[ 1 2 ] and collimator,[ 3 4 5 ] image reconstruction algorithms,[ 6 7 ] photon attenuation[ 8 9 10 ] and scattering,[ 11 12 13 ] and patient motion. [ 14 15 16 ] The use of a suitable collimator when imaging with a given radioisotope is an essential factor to produce the high quality images.…”

Section: Introductionmentioning

confidence: 99%

Investigation of different components of parallel-hole collimator response to different radioisotope energies used in nuclear medicine imaging

Noori-Asl

Jeddi-Dashghapou

2022

J Med Phys

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Introduction: The quality of images obtained from the nuclear medicine imaging systems depends on different factors. One of the most important of these factors is the geometrical and physical characteristics of collimator used for imaging with a given radioisotope. Aims and Objectives: The aim of this study is to investigate the contribution of different components of collimator response for determining the most suitable parallel-hole collimator for the different radioisotope energies used in nuclear medicine imaging. Materials and Methods: In this study, the SIMIND Monte Carlo simulation program is used to determine the contribution of geometrical, penetrating and scattered response components of four hexagonal parallel-hole collimators including low-energy high-resolution (LEHR), low-energy general-purpose (LEGP), medium-energy general-purpose (MEGP), and high-energy general-purpose (HEGP) collimators, for 12 different energies used in nuclear medicine imaging. Results: According to the simulation results, the use of both the LEHR and LEGP collimators leads to a geometrical component above 60% for energies between 69 and 171 keV. On the other hand, for energies between 185 and 245 keV, the MEGP collimator and for energy of 364 keV, the HEGP collimator gives the geometrical components above 70% and 60%, respectively, while for energy of 511 keV, the geometrical response of all four collimators is below 20%. Conclusion: The results of this study show that for two low-energy single-photopeak radioisotopes, Tc-99m and I-123, the LEHR and LEGP collimators, and for high-energy single-photopeak radioisotope, I-131, the HEGP collimator are most suitable collimators. For dual-photopeak In-111 radioisotope and triple-photopeak Ga-67 radioisotope, the MEGP and HEGP collimators and for triple-photopeak Tl-201 radioisotopes, the LEHR and LEGP collimators are proposed as most suitable collimators.

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Comparison of non-attenuation corrected and attenuation corrected myocardial perfusion SPECT

Cited by 7 publications

References 27 publications

Diagnostic Effect of Attenuation Correction in Myocardial Perfusion Imaging in Different Coronary Arteries: A Systematic Review and Meta-Analysis

Diagnostic Effect of Attenuation Correction in Myocardial Perfusion Imaging in Different Coronary Arteries: A Systematic Review and Meta-Analysis

Deep learning-guided attenuation correction in the image domain for myocardial perfusion SPECT imaging

Investigation of different components of parallel-hole collimator response to different radioisotope energies used in nuclear medicine imaging

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