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Count-based method for specific binding ratio calculation in [I-123]FP-CIT SPECT analysis

OBJECTIVE: To calculate the specific binding ratio (SBR) appropriately in dopamine transporter (DAT) imaging, a method for extracting the striatal volume of interest (VOI) was developed. METHODS: This study included 200 patients (72 ± 10 years) who were suspected of parkinsonian syndromes (PS) or de...

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Autores principales: Rahman, Mahmudur G. M., Islam, Muhammad M., Tsujikawa, Tetsuya, Kiyono, Yasushi, Okazawa, Hidehiko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Singapore 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6314989/
https://www.ncbi.nlm.nih.gov/pubmed/30276622
http://dx.doi.org/10.1007/s12149-018-1297-1
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author Rahman, Mahmudur G. M.
Islam, Muhammad M.
Tsujikawa, Tetsuya
Kiyono, Yasushi
Okazawa, Hidehiko
author_facet Rahman, Mahmudur G. M.
Islam, Muhammad M.
Tsujikawa, Tetsuya
Kiyono, Yasushi
Okazawa, Hidehiko
author_sort Rahman, Mahmudur G. M.
collection PubMed
description OBJECTIVE: To calculate the specific binding ratio (SBR) appropriately in dopamine transporter (DAT) imaging, a method for extracting the striatal volume of interest (VOI) was developed. METHODS: This study included 200 patients (72 ± 10 years) who were suspected of parkinsonian syndromes (PS) or dementia with Lewy body (DLB). The patients were divided into three groups of PS with dopaminergic degeneration, DLB and non-PS after [(123)I]ioflupane (FP-CIT) SPECT and clinical follow-up. The image data were reconstructed with CT attenuation correction and scatter correction, and with only CT attenuation correction (CTAC). The new method extracted striatal VOI according to the high-level counts and the average striatum volume, and calculated SBR using the reference occipital counts. The SBR values for each patient were obtained using the Tossici-Bolt method (SBR(Bolt)) and our method. Reproducibility of SBR calculation using our method was compared by two operators. RESULTS: The mean SBR values for the PS and DLB groups were significantly different from that of the non-PS group with both methods. The coefficients of variation of the SBR were significantly smaller with the proposed method compared with those of SBR(Bolt) (p < 0.001), except for the CTAC images. There were no differences in SBR between the two operators using our method. The diagnostic accuracies with our method for the PS and DLB groups were 98.4 and 96.0%, respectively. CONCLUSION: Our new method for SBR calculation in the FP-CIT SPECT showed less coefficients of variation with high reproducibility, which would be useful for clinical diagnosis and in assessing the severity of diseases in follow-up studies.
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spelling pubmed-63149892019-01-11 Count-based method for specific binding ratio calculation in [I-123]FP-CIT SPECT analysis Rahman, Mahmudur G. M. Islam, Muhammad M. Tsujikawa, Tetsuya Kiyono, Yasushi Okazawa, Hidehiko Ann Nucl Med Original Article OBJECTIVE: To calculate the specific binding ratio (SBR) appropriately in dopamine transporter (DAT) imaging, a method for extracting the striatal volume of interest (VOI) was developed. METHODS: This study included 200 patients (72 ± 10 years) who were suspected of parkinsonian syndromes (PS) or dementia with Lewy body (DLB). The patients were divided into three groups of PS with dopaminergic degeneration, DLB and non-PS after [(123)I]ioflupane (FP-CIT) SPECT and clinical follow-up. The image data were reconstructed with CT attenuation correction and scatter correction, and with only CT attenuation correction (CTAC). The new method extracted striatal VOI according to the high-level counts and the average striatum volume, and calculated SBR using the reference occipital counts. The SBR values for each patient were obtained using the Tossici-Bolt method (SBR(Bolt)) and our method. Reproducibility of SBR calculation using our method was compared by two operators. RESULTS: The mean SBR values for the PS and DLB groups were significantly different from that of the non-PS group with both methods. The coefficients of variation of the SBR were significantly smaller with the proposed method compared with those of SBR(Bolt) (p < 0.001), except for the CTAC images. There were no differences in SBR between the two operators using our method. The diagnostic accuracies with our method for the PS and DLB groups were 98.4 and 96.0%, respectively. CONCLUSION: Our new method for SBR calculation in the FP-CIT SPECT showed less coefficients of variation with high reproducibility, which would be useful for clinical diagnosis and in assessing the severity of diseases in follow-up studies. Springer Singapore 2018-10-01 2019 /pmc/articles/PMC6314989/ /pubmed/30276622 http://dx.doi.org/10.1007/s12149-018-1297-1 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Article
Rahman, Mahmudur G. M.
Islam, Muhammad M.
Tsujikawa, Tetsuya
Kiyono, Yasushi
Okazawa, Hidehiko
Count-based method for specific binding ratio calculation in [I-123]FP-CIT SPECT analysis
title Count-based method for specific binding ratio calculation in [I-123]FP-CIT SPECT analysis
title_full Count-based method for specific binding ratio calculation in [I-123]FP-CIT SPECT analysis
title_fullStr Count-based method for specific binding ratio calculation in [I-123]FP-CIT SPECT analysis
title_full_unstemmed Count-based method for specific binding ratio calculation in [I-123]FP-CIT SPECT analysis
title_short Count-based method for specific binding ratio calculation in [I-123]FP-CIT SPECT analysis
title_sort count-based method for specific binding ratio calculation in [i-123]fp-cit spect analysis
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6314989/
https://www.ncbi.nlm.nih.gov/pubmed/30276622
http://dx.doi.org/10.1007/s12149-018-1297-1
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