Is it Feasible to Use the Commercially Available Autoquantitation Software for the Evaluation of Myocardial Viability on Small-Animal Cardiac F-18 FDG PET Scan?
- Authors
- Pahk, K.; Oh, S.Y.; Jeong, E.; Lee, S.H.; Woo, S.K.; Yu, J.W.; Choe, J.G.; Cheon, G.J.
- Issue Date
- 2013
- Keywords
- Autoquantitation; FDG PET; Myocardial infarct model; Myocardial viability
- Citation
- Nuclear Medicine and Molecular Imaging, v.47, no.2, pp.104 - 114
- Indexed
- SCOPUS
KCI
- Journal Title
- Nuclear Medicine and Molecular Imaging
- Volume
- 47
- Number
- 2
- Start Page
- 104
- End Page
- 114
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/106026
- DOI
- 10.1007/s13139-013-0206-8
- ISSN
- 1869-3474
- Abstract
- Purpose: To evaluate the reliability of quantitation of myocardial viability on cardiac F-18 fluorodeoxyglucose (FDG) positron emission tomography (PET) scans with three different methods of visual scoring system, autoquantitation using commercially available autoquantitation software, and infarct-size measurement using histogram-based maximum pixel threshold identification on polar-map in rat hearts. Methods: A myocardial infarct (MI) model was made by left anterior descending artery (LAD) ligation in rat hearts. Eighteen MI rats underwent cardiac FDG-PET-computed tomography (CT) twice within a 4-week interval. Myocardium was partitioned into 20 segments for the comparison, and then we quantitated non-viable myocardium on cardiac FDG PET-CT with three different methods: method A-infarct-size measurement using histogram-based maximum pixel threshold identification on polar-map; method B-summed MI score (SMS) by a four-point visual scoring system; method C-metabolic non-viable values by commercially available autoquantitation software. Changes of non-viable myocardium on serial PET-CT scans with three different methods were calculated by the change of each parameter. Correlation and reproducibility were evaluated between the different methods. Results: Infarct-size measurement, visual SMS, and non-viable values by autoquantitation software presented proportional relationship to each other. All the parameters of methods A, B, and C showed relatively good correlation between each other. Among them, infarct-size measurement (method A) and autoquantitation software (method C) showed the best correlation (r = 0.87, p < 0.001). When we evaluated the changes of non-viable myocardium on the serial FDG-PET-CT- however, autoquantitation program showed less correlation with the other methods. Visual assessment (method B) and those of infarct size (method A) showed the best correlation (r = 0.54, p = 0.02) for the assessment of interval changes. Conclusions: Commercially available quantitation software could be applied to measure the myocardial viability on small animal cardiac FDG-PET-CT scan. This kind of quantitation showed good correlation with infarct size measurement by histogram-based maximum pixel threshold identification. However, this method showed the weak correlation when applied in the measuring the changes of non-viable myocardium on the serial scans, which means that the caution will be needed to evaluate the changes on the serial monitoring. © 2013 Korean Society of Nuclear Medicine.
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