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Interpreting (123)I–ioflupane dopamine transporter scans using hybrid scores
BACKGROUND: Dopamine transporter (DaT) (123)I–FP-CIT scans most commonly are interpreted visually. Alternatively, absolute quantitation of radiopharmaceutical uptake may improve scan accuracy. However, neither approach accomodates dependence of striatal uptake on age and gender. We investigated whet...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5960650/ https://www.ncbi.nlm.nih.gov/pubmed/29855627 http://dx.doi.org/10.1186/s41824-018-0028-0 |
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author | Nichols, Kenneth J. Chen, Brandon Tomas, Maria B. Palestro, Christopher J. |
author_facet | Nichols, Kenneth J. Chen, Brandon Tomas, Maria B. Palestro, Christopher J. |
author_sort | Nichols, Kenneth J. |
collection | PubMed |
description | BACKGROUND: Dopamine transporter (DaT) (123)I–FP-CIT scans most commonly are interpreted visually. Alternatively, absolute quantitation of radiopharmaceutical uptake may improve scan accuracy. However, neither approach accomodates dependence of striatal uptake on age and gender. We investigated whether demographic indexing of visual and numerical variables improve discrimination of patients with essential tremor (ET), Parkinson’s disease (PD), and dementia with Lewy bodies (DLB). METHODS: Data of 132 consecutive patients undergoing DaT SPECT scans were reviewed retrospectively. The clinical impression in the latest neurology note was utilized as the final clinical diagnosis. Caudate and putamen specific binding ratio (PSBR) were computed. (123)I calibration phantoms were constructed to enable absolute quantitation of putamen radiopharmaceutical uptake. A single experienced nuclear medicine physician graded visual certainty on a 3-level scale. Demographic indexing normalized metrics to published normal PSBR values. Methods were compared by simultaneous ROC analyses to identify the technique of maximal accuracy. RESULTS: Thirty-four patients (26%) were diagnosed with ET, 85 (64%) with PD, 6 (5%) with multiple system atrophy, and 7 (5%) with DLB. For discriminating DLB from PD, visual analysis was significantly less specific and accurate than the other techniques. However, indexing significantly improved specificity and accuracy of visual scores, such that indexed visual scores were statistically equivalent to all other methods. Indexed PSBR yielded essentially the same results as non-indexed PSBR, for which highest overall test efficacy was achieved. CONCLUSIONS: Our results in this small series of patients with DLB suggest that if (123)I–FP-CIT visual scores are to be used to discriminate DLB from other neurologic disorders, demographic indexing should be applied. However, best results overall are obtained using quantified parameters, regardless of whether or not demographic indexing is applied to these values. |
format | Online Article Text |
id | pubmed-5960650 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-59606502018-05-29 Interpreting (123)I–ioflupane dopamine transporter scans using hybrid scores Nichols, Kenneth J. Chen, Brandon Tomas, Maria B. Palestro, Christopher J. Eur J Hybrid Imaging Original Article BACKGROUND: Dopamine transporter (DaT) (123)I–FP-CIT scans most commonly are interpreted visually. Alternatively, absolute quantitation of radiopharmaceutical uptake may improve scan accuracy. However, neither approach accomodates dependence of striatal uptake on age and gender. We investigated whether demographic indexing of visual and numerical variables improve discrimination of patients with essential tremor (ET), Parkinson’s disease (PD), and dementia with Lewy bodies (DLB). METHODS: Data of 132 consecutive patients undergoing DaT SPECT scans were reviewed retrospectively. The clinical impression in the latest neurology note was utilized as the final clinical diagnosis. Caudate and putamen specific binding ratio (PSBR) were computed. (123)I calibration phantoms were constructed to enable absolute quantitation of putamen radiopharmaceutical uptake. A single experienced nuclear medicine physician graded visual certainty on a 3-level scale. Demographic indexing normalized metrics to published normal PSBR values. Methods were compared by simultaneous ROC analyses to identify the technique of maximal accuracy. RESULTS: Thirty-four patients (26%) were diagnosed with ET, 85 (64%) with PD, 6 (5%) with multiple system atrophy, and 7 (5%) with DLB. For discriminating DLB from PD, visual analysis was significantly less specific and accurate than the other techniques. However, indexing significantly improved specificity and accuracy of visual scores, such that indexed visual scores were statistically equivalent to all other methods. Indexed PSBR yielded essentially the same results as non-indexed PSBR, for which highest overall test efficacy was achieved. CONCLUSIONS: Our results in this small series of patients with DLB suggest that if (123)I–FP-CIT visual scores are to be used to discriminate DLB from other neurologic disorders, demographic indexing should be applied. However, best results overall are obtained using quantified parameters, regardless of whether or not demographic indexing is applied to these values. Springer International Publishing 2018-05-21 2018 /pmc/articles/PMC5960650/ /pubmed/29855627 http://dx.doi.org/10.1186/s41824-018-0028-0 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 Nichols, Kenneth J. Chen, Brandon Tomas, Maria B. Palestro, Christopher J. Interpreting (123)I–ioflupane dopamine transporter scans using hybrid scores |
title | Interpreting (123)I–ioflupane dopamine transporter scans using hybrid scores |
title_full | Interpreting (123)I–ioflupane dopamine transporter scans using hybrid scores |
title_fullStr | Interpreting (123)I–ioflupane dopamine transporter scans using hybrid scores |
title_full_unstemmed | Interpreting (123)I–ioflupane dopamine transporter scans using hybrid scores |
title_short | Interpreting (123)I–ioflupane dopamine transporter scans using hybrid scores |
title_sort | interpreting (123)i–ioflupane dopamine transporter scans using hybrid scores |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5960650/ https://www.ncbi.nlm.nih.gov/pubmed/29855627 http://dx.doi.org/10.1186/s41824-018-0028-0 |
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