Soo Hyun Cho1,2, Yeong Sim Choe1,3,4, Hee Jin Kim1,4, Hyemin Jang1,4, Yeshin Kim1,5, Si Eun Kim1,6, Seung Joo Kim1,7, Jun Pyo Kim1,4, Young Hee Jung1,8, Byeong C Kim2, Suzanne L Baker9, Samuel N Lockhart10, Duk L Na1,3,4,11, Seongbeom Park12,13, Sang Won Seo14,15,16,17,18,19. 1. Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea. 2. Department of Neurology, Chonnam National University Hospital, Chonnam National University Medical School, Gwangju, Korea. 3. Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, Korea. 4. Neuroscience Center, Samsung Medical Center, Seoul, Korea. 5. Department of Neurology, Kangwon National University Hospital, Kangwon National University College of Medicine, Chuncheon, Korea. 6. Department of Neurology, Inje University College of Medicine, Haeundae Paik Hospital, Busan, Korea. 7. Department of Neurology, Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital, Changwon, Korea. 8. Department of Neurology, Myoungji Hospital, Hanyang University, Goyangsi, Korea. 9. Molecular Biophysics and Integrated Bioimaging, Lawrence Berkeley National Laboratory, Berkeley, CA, USA. 10. Internal Medicine - Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA. 11. Stem Cell & Regenerative Medicine Institute, Samsung Medical Center, Seoul, Korea. 12. Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea. ayl1815@gmail.com. 13. Neuroscience Center, Samsung Medical Center, Seoul, Korea. ayl1815@gmail.com. 14. Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea. sangwonseo@empal.com. 15. Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, Korea. sangwonseo@empal.com. 16. Neuroscience Center, Samsung Medical Center, Seoul, Korea. sangwonseo@empal.com. 17. Department of Clinical Research Design & Evaluation, SAIHST, Sungkyunkwan University, Seoul, Korea. sangwonseo@empal.com. 18. Samsung Alzheimer Research Center, Samsung Medical Center,, Seoul, Korea. sangwonseo@empal.com. 19. Center for Clinical Epidemiology, Samsung Medical Center, Seoul, Korea. sangwonseo@empal.com.
Abstract
PURPOSE: We developed a new method to directly calculate Centiloid (CL) units of 18F-florbetaben (FBB) and 18F-flutemetamol (FMM) without conversion to the PiB standardized uptake value ratio (SUVR). METHODS: Paired FBB and FMM PET scans were obtained from 20 Alzheimer's disease-related cognitive impairment patients, 16 old controls, and 20 young controls. We investigated the correlations between the FBB and FMM CL units using the direct comparison of FBB-FMM CL (dcCL) method and the standard CL method and compare differences in FBB and FMM CL units between dcCL method and the standard method. RESULTS: Following the conversion of FBB or FMM SUVRs into CL units, a direct relationship was formed between the FBB or FMM SUVRs and the CL units using dcCL method (FBB dcCL = 151.42 × FBB dcSUVR - 142.24 and FMM dcCL = 148.52 × FMM dcSUVR - 137.09). The FBB and FMM CL units were highly correlated in both our method (R2 = 0.97, FMM dcCL = 0.97 × FBB dcCL + 1.64) and the standard method (R2 = 0.97, FMM CLstandard = 0.79 × FBB CLstandard + 1.36). However, the CL variations between FBB and FMM were smaller when calculated by dcCL method (6.15) than when calculated by the previous method (10.22; P = 0.01). CONCLUSIONS: Our findings suggest that our direct comparison of FBB-FMM method, rather than the standard method, is a reasonable way to convert FBB or FMM SUVRs into CL units, at least in environments where FBB or FMM ligands are used frequently.
PURPOSE: We developed a new method to directly calculate Centiloid (CL) units of 18F-florbetaben (FBB) and 18F-flutemetamol (FMM) without conversion to the PiB standardized uptake value ratio (SUVR). METHODS: Paired FBB and FMM PET scans were obtained from 20 Alzheimer's disease-related cognitive impairmentpatients, 16 old controls, and 20 young controls. We investigated the correlations between the FBB and FMM CL units using the direct comparison of FBB-FMM CL (dcCL) method and the standard CL method and compare differences in FBB and FMM CL units between dcCL method and the standard method. RESULTS: Following the conversion of FBB or FMM SUVRs into CL units, a direct relationship was formed between the FBB or FMM SUVRs and the CL units using dcCL method (FBB dcCL = 151.42 × FBB dcSUVR - 142.24 and FMM dcCL = 148.52 × FMM dcSUVR - 137.09). The FBB and FMM CL units were highly correlated in both our method (R2 = 0.97, FMM dcCL = 0.97 × FBB dcCL + 1.64) and the standard method (R2 = 0.97, FMM CLstandard = 0.79 × FBB CLstandard + 1.36). However, the CL variations between FBB and FMM were smaller when calculated by dcCL method (6.15) than when calculated by the previous method (10.22; P = 0.01). CONCLUSIONS: Our findings suggest that our direct comparison of FBB-FMM method, rather than the standard method, is a reasonable way to convert FBB or FMM SUVRs into CL units, at least in environments where FBB or FMM ligands are used frequently.
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Authors: Hugh G Pemberton; Lyduine E Collij; Fiona Heeman; Ariane Bollack; Mahnaz Shekari; Gemma Salvadó; Isadora Lopes Alves; David Vallez Garcia; Mark Battle; Christopher Buckley; Andrew W Stephens; Santiago Bullich; Valentina Garibotto; Frederik Barkhof; Juan Domingo Gispert; Gill Farrar Journal: Eur J Nucl Med Mol Imaging Date: 2022-04-07 Impact factor: 10.057
Authors: Sung Hoon Kang; Kyung Hyun Lee; Yoosoo Chang; Yeong Sim Choe; Jun Pyo Kim; Hyemin Jang; Hee Young Shin; Hee Jin Kim; Seong-Beom Koh; Duk L Na; Sang Won Seo; Mira Kang Journal: Alzheimers Res Ther Date: 2022-10-04 Impact factor: 8.823