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Exploration of the efficacy of radiomics applied to left ventricular tomograms obtained from D-SPECT MPI for the auxiliary diagnosis of myocardial ischemia in CAD

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Abstract

To explore the feasibility and efficacy of radiomics with left ventricular tomograms obtained from D-SPECT myocardial perfusion imaging (MPI) for auxiliary diagnosis of myocardial ischemia in coronary artery disease (CAD). The images of 103 patients with CAD myocardial ischemia between September 2020 and April 2021 were retrospectively selected. After information desensitization processing, format conversion, annotation using the Labelme tool on an open-source platform, lesion classification, and establishment of a database, the images were cropped for analysis. The ResNet18 model was used to automate two steps (classification and segmentation) with five randomization, training and validation steps. The sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, positive predictive value, negative predictive value, Youden’s index, agreement rate, and kappa value were calculated as evaluation indexes of the classification results for each training-validation step; then, receiver operating characteristics (ROC) curves were drawn, and the areas under the curve (AUCs) were calculated. The Dice coefficient, intersection over union, and Hausdorff distance were calculated as evaluation indexes of the segmentation results for each training-validation step; then, the predicted images were exported. Under the existing conditions, the radiomics model used in this study had an AUC above 0.95 in identifying the presence or absence of myocardial ischemia; in the prediction of the extent of myocardial ischemia, its evaluation index distribution is also close to that of the gold standard. Radiomics can be feasibly applied to left ventricular tomograms obtained from D-SPECT MPI for auxiliary diagnosis. With more in-depth research and the development of technology, adding this method to the existing auxiliary diagnosis will likely further improve the diagnostic accuracy and efficiency, and patients will therefore benefit.

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Available but to be used only for verification of this study and not for other purposes.

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Available but to be used only for verification of this study and not for other purposes.

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Acknowledgements

Not applicable.

Funding

This study was funded by the Clinical Research Plan of SHDC (No. SHDC2020CR4065).

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Authors and Affiliations

  1. Medical College, Anhui University of Science and Technology, Taifeng RD. 168, Huainan, 232001, People’s Republic of China

    Junpeng Wang

  2. Department of Nuclear Medicine, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, Yanchang RD. 301, Shanghai, 200072, People’s Republic of China

    Xin Fan, ShanShan Qin, Han Zhang & Fei Yu

  3. Department of Nuclear Medicine, University of Bern, Bern, Switzerland

    Kuangyu Shi

  4. Department of Informatics, Technical University of Munich, Munich, Germany

    Kuangyu Shi

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  1. Junpeng Wang
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  2. Xin Fan
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  4. Kuangyu Shi
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  5. Han Zhang
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  6. Fei Yu
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Contributions

Wang designed the study, performed the experiments, analyzed the data, and wrote the manuscript. Zhang, Fan and Qin provided guidance on the experimental methods and writing of the paper in this study. Yu provided the final review and various supporting work for this study. Shi provides assistance and review during the revision of this article.

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Correspondence to Han Zhang or Fei Yu.

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We used the image of the patient after information was hidden; this item is not applicable.

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We used the image of the patient after information was hidden; this item is not applicable.

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Wang, J., Fan, X., Qin, S. et al. Exploration of the efficacy of radiomics applied to left ventricular tomograms obtained from D-SPECT MPI for the auxiliary diagnosis of myocardial ischemia in CAD. Int J Cardiovasc Imaging 38, 465–472 (2022). https://doi.org/10.1007/s10554-021-02413-x

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  • DOI: https://doi.org/10.1007/s10554-021-02413-x

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