| Autor: |
Kato T; Department of Radiology, Toyohashi Municipal Hospital., Ichikawa H; Department of Radiology, Toyohashi Municipal Hospital.; Department of Quantum Medical Technology, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University., Kawakami K; PDRadiopharma Inc., Hosoya T; PDRadiopharma Inc., Banno T; Department of Radiology, Toyohashi Municipal Hospital., Kato T; Department of Radiology, Toyohashi Municipal Hospital., Ito S; Department of Radiology, Toyohashi Municipal Hospital. |
| Jazyk: |
japonština |
| Zdroj: |
Nihon Hoshasen Gijutsu Gakkai zasshi [Nihon Hoshasen Gijutsu Gakkai Zasshi] 2024 Sep 28. Date of Electronic Publication: 2024 Sep 28. |
| DOI: |
10.6009/jjrt.2024-1497 |
| Abstrakt: |
We investigated the impact of the tumor-to-normal bone ratio (TNR) on the concordance rate between a detectability score classified by software (DS soft ) using an automatic quantification package for bone SPECT (Hone Graph) and a detectability score classified by visual assessment (DS visual ), and considered the feasibility of applying this software to various TNR images. 99m Tc solution was filled into a SIM 2 bone phantom to achieve TNRs of 4, 6, and 8, performed by dynamic SPECT acquisitions performed for 12 minutes; reconstructions were performed using ordered subset expectation maximization at timepoints ranging from 4 to 12 minutes. This yielded a total of 384 lesions (96 SPECT images). We investigated the weighted kappa (κ w ) coefficient between DS soft and DS visual at various TNRs and evaluated the change in analysis accuracy before and after applying newly created analysis parameters. DSs were defined on a 4-point scale (4: excellent, 3: adequate, 2: average, 1: poor), and visual evaluations were conducted by three board-certified nuclear medicine technologists. The κ w coefficients between DS soft and DS visual were 0.75, 0.97, and 0.93 for TNRs 4, 6, and 8, respectively, with each κ w coefficient being significant (p<0.01). In the TNR 4 image group, κ w coefficients significantly increased with the implementation of new parameters proposed in this study. We concluded that the software's automatic analysis would be closer to a visual assessment within the TNR range of 4-8 and that applying new parameters derived from this study to images with TNR 4 further improves the software's automatic analysis accuracy of DS soft . We suggest that software will be a useful tool for optimizing bone SPECT imaging techniques. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
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