Myocardial perfusion SPECT radiomic features reproducibility assessment: Impact of image reconstruction and harmonization DOI Creative Commons

Omid Gharibi,

Ghasem Hajianfar, Maziar Sabouri

et al.

Medical Physics, Journal Year: 2024, Volume and Issue: 52(2), P. 965 - 977

Published: Oct. 29, 2024

Coronary artery disease (CAD) has one of the highest mortality rates in humans worldwide. Single-photon emission computed tomography (SPECT) myocardial perfusion imaging (MPI) provides clinicians with metabolic information non-invasively. However, there are some limitations to interpreting SPECT images performed by physicians or automatic quantitative approaches. Radiomics analyzes objectively extracting features and can potentially reveal biological characteristics that human eye cannot detect. reproducibility repeatability radiomic be highly susceptible segmentation conditions. We aimed assess extracted from uncorrected MPI-SPECT reconstructed 15 different settings before after ComBat harmonization, along evaluating effectiveness realigning feature distributions. A total 200 patients (50% normal 50% abnormal) including rest stress (without attenuation scatter corrections) were included. Images using combinations filter cut-off frequencies, orders, types, reconstruction algorithms, number iterations subsets resulting 6000 images. Image was on left ventricle first for each patient applied 14 others. 93 segmented area, used harmonize them. The intraclass correlation coefficient (ICC) overall concordance (OCCC) tests examine impact parameter robustness harmonization efficiency. ANOVA Kruskal-Wallis evaluate correcting In addition, Student's t-test, Wilcoxon rank-sum, signed-rank implemented significance level impacts made batches groups (normal vs. features. Before applying ComBat, majority (ICC: 82, OCCC: 61) achieved high (ICC/OCCC ≥ 0.900) under every batch except Reconstruction. largest smallest poor < 0.500) obtained IterationSubset Order batches, respectively. most reliable first-order (FO) gray-level co-occurrence matrix (GLCM) families. Following minimum robust increased 84, 78). Applying showed Reconstruction least responsive families, a descending order, found FO, neighborhood gray-tone difference (NGTDM), GLCM, run length (GLRLM), size zone (GLSZM), dependence (GLDM) Cut-off, Filter, batches. rank-sum test significantly differed Normal Abnormal groups. show levels across OSEM parameters MPI-SPECT. is effective distributions enhancing reproducibility.

Language: Английский

Effects of parametric feature maps on the reproducibility of radiomics from different fields of view in cardiac magnetic resonance cine images– a clinical and experimental study setting DOI Creative Commons
Laura J. Jensen, Damon Kim, Thomas Elgeti

et al.

The International Journal of Cardiovascular Imaging, Journal Year: 2025, Volume and Issue: unknown

Published: April 23, 2025

Language: Английский

Citations

0
Myocardial perfusion SPECT radiomic features reproducibility assessment: Impact of image reconstruction and harmonization DOI Creative Commons

Omid Gharibi,

Ghasem Hajianfar, Maziar Sabouri

et al.

Medical Physics, Journal Year: 2024, Volume and Issue: 52(2), P. 965 - 977

Published: Oct. 29, 2024

Coronary artery disease (CAD) has one of the highest mortality rates in humans worldwide. Single-photon emission computed tomography (SPECT) myocardial perfusion imaging (MPI) provides clinicians with metabolic information non-invasively. However, there are some limitations to interpreting SPECT images performed by physicians or automatic quantitative approaches. Radiomics analyzes objectively extracting features and can potentially reveal biological characteristics that human eye cannot detect. reproducibility repeatability radiomic be highly susceptible segmentation conditions. We aimed assess extracted from uncorrected MPI-SPECT reconstructed 15 different settings before after ComBat harmonization, along evaluating effectiveness realigning feature distributions. A total 200 patients (50% normal 50% abnormal) including rest stress (without attenuation scatter corrections) were included. Images using combinations filter cut-off frequencies, orders, types, reconstruction algorithms, number iterations subsets resulting 6000 images. Image was on left ventricle first for each patient applied 14 others. 93 segmented area, used harmonize them. The intraclass correlation coefficient (ICC) overall concordance (OCCC) tests examine impact parameter robustness harmonization efficiency. ANOVA Kruskal-Wallis evaluate correcting In addition, Student's t-test, Wilcoxon rank-sum, signed-rank implemented significance level impacts made batches groups (normal vs. features. Before applying ComBat, majority (ICC: 82, OCCC: 61) achieved high (ICC/OCCC ≥ 0.900) under every batch except Reconstruction. largest smallest poor < 0.500) obtained IterationSubset Order batches, respectively. most reliable first-order (FO) gray-level co-occurrence matrix (GLCM) families. Following minimum robust increased 84, 78). Applying showed Reconstruction least responsive families, a descending order, found FO, neighborhood gray-tone difference (NGTDM), GLCM, run length (GLRLM), size zone (GLSZM), dependence (GLDM) Cut-off, Filter, batches. rank-sum test significantly differed Normal Abnormal groups. show levels across OSEM parameters MPI-SPECT. is effective distributions enhancing reproducibility.

Language: Английский

Citations

2