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Shibutani T, Konishi T, Ichikawa H, Onoguchi M, Yoneyama H, Ito T, Okuda K, Nakajima K. Detectability of cold tumors by xSPECT bone technology compared with hot tumors: a supine phantom study. Phys Eng Sci Med 2024; 47:287-294. [PMID: 38117462 DOI: 10.1007/s13246-023-01364-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Accepted: 11/28/2023] [Indexed: 12/21/2023]
Abstract
Detecting cold as well as hot tumors is vital for interpreting bone tumors on single-photon emission computed tomography (SPECT) images. This study aimed to visually and quantitatively demonstrate the detectability of cold tumors using xSPECT technology compared with that of hot tumors in the phantom study. Five tumors of different sizes and normal bone contained a mixture of 99mTc and K2HPO4 in a spine phantom. We acquired SPECT data using an xSPECT protocol and transverse images were reconstructed using xSPECT Bone (xB) and xSPECT Quant (xQ). Mean standardized uptake values (SUVmean) in volumes of interest (VOI) were calculated. Recovery coefficients (RCs) for each tumor site were calculated with reference to radioactive concentrations. The SUVmeans of the whole vertebral body for hot tumor bone image in cortical bone phantom reconstructed by with xB and xQ were 5.77 and 4.86 respectively. The SUVmean of xB was similar to the true value. The SUVmeans for xB and xQ reconstructed images of cold tumors were both approximately 0.16. The RC of the cold tumor on xQ images increased as the tumor diameter decreased, whereas that of xB remained almost constant regardless of the tumor diameter. In conclusion, the quantitative accuracy of detecting hot and cold tumors was higher in the xB image than in the xQ image. Moreover, the visual detectability of cold tumors was also excellent in xB images.
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Affiliation(s)
- Takayuki Shibutani
- Department of Quantum Medical Technology, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kanazawa, Japan.
| | - Takahiro Konishi
- Department of Radiological Technology, Kanazawa University Hospital, Kanazawa, Japan
| | - Hajime Ichikawa
- Department of Radiology, Toyohashi Municipal Hospital, Toyohashi, Japan
| | - Masahisa Onoguchi
- Department of Quantum Medical Technology, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kanazawa, Japan
| | - Hiroto Yoneyama
- Department of Radiological Technology, Kanazawa University Hospital, Kanazawa, Japan
| | - Toshimune Ito
- Department of Radiological, Technology, Faculty of Medical Technology, Teikyo University, Tokyo, Japan
| | - Koichi Okuda
- Department of Radiation Science, Graduate School of Health Sciences, Hirosaki University, Hirosaki, Japan
| | - Kenichi Nakajima
- Department of Functional Imaging and Artificial Intelligence, Kanazawa University, Kanazawa, Japan
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