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A Novel Automatic Approach for Calculation of the Specific Binding Ratio in [I-123]FP-CIT SPECT
A fully automatic method for specific binding ratio (SBR) calculation in [(123)I]ioflupane single-photon emission computed tomography (SPECT) studies was proposed by creating volumes of interest of the striatum (VOI(st)) and reference region (VOI(ref)) without manual handling to avoid operator-induc...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7277984/ https://www.ncbi.nlm.nih.gov/pubmed/32397547 http://dx.doi.org/10.3390/diagnostics10050289 |
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author | Rahman, Mahmudur G. M. Islam, Muhammad M. Tsujikawa, Tetsuya Okazawa, Hidehiko |
author_facet | Rahman, Mahmudur G. M. Islam, Muhammad M. Tsujikawa, Tetsuya Okazawa, Hidehiko |
author_sort | Rahman, Mahmudur G. M. |
collection | PubMed |
description | A fully automatic method for specific binding ratio (SBR) calculation in [(123)I]ioflupane single-photon emission computed tomography (SPECT) studies was proposed by creating volumes of interest of the striatum (VOI(st)) and reference region (VOI(ref)) without manual handling to avoid operator-induced variability. The study involved 105 patients (72 ± 10 years) suspected of parkinsonian syndrome (PS) who underwent [(123)I]ioflupane SPECT. The 200 images from our previous study were used for evaluation and validation of the new program. All patients were classified into PS and non-PS groups according to the results of clinical follow-up. A trapezoidal volume of interest (VOI(t)) containing all striatal intensive counts was created automatically, followed by VOI(st) setting using the previous method. SBR values were calculated from the mean values of VOI(st) and VOI(ref) determined by the whole brain outside of VOI(t). The low count voxels in the VOI(ref) were excluded using an appropriate threshold. The SBR values from the new method were compared with the previous semi-automatic method and the Tossici–Bolt (TB) method. The SBRs from the semi- and fully automatic methods showed a good linear correlation (r > 0.98). The areas under the curves (AUCs) of receiver operating characteristic analysis showed no significant difference between the two methods for both our previous (AUC > 0.99) and new (AUC > 0.95) data. The diagnostic accuracy of the two methods showed similar results (>92%), and both were better than the TB method. The proposed method successfully created the automatic VOIs and calculated SBR rapidly (9 ± 1 s/patient), avoiding operator-induced variability and providing objective SBR results. |
format | Online Article Text |
id | pubmed-7277984 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-72779842020-06-12 A Novel Automatic Approach for Calculation of the Specific Binding Ratio in [I-123]FP-CIT SPECT Rahman, Mahmudur G. M. Islam, Muhammad M. Tsujikawa, Tetsuya Okazawa, Hidehiko Diagnostics (Basel) Article A fully automatic method for specific binding ratio (SBR) calculation in [(123)I]ioflupane single-photon emission computed tomography (SPECT) studies was proposed by creating volumes of interest of the striatum (VOI(st)) and reference region (VOI(ref)) without manual handling to avoid operator-induced variability. The study involved 105 patients (72 ± 10 years) suspected of parkinsonian syndrome (PS) who underwent [(123)I]ioflupane SPECT. The 200 images from our previous study were used for evaluation and validation of the new program. All patients were classified into PS and non-PS groups according to the results of clinical follow-up. A trapezoidal volume of interest (VOI(t)) containing all striatal intensive counts was created automatically, followed by VOI(st) setting using the previous method. SBR values were calculated from the mean values of VOI(st) and VOI(ref) determined by the whole brain outside of VOI(t). The low count voxels in the VOI(ref) were excluded using an appropriate threshold. The SBR values from the new method were compared with the previous semi-automatic method and the Tossici–Bolt (TB) method. The SBRs from the semi- and fully automatic methods showed a good linear correlation (r > 0.98). The areas under the curves (AUCs) of receiver operating characteristic analysis showed no significant difference between the two methods for both our previous (AUC > 0.99) and new (AUC > 0.95) data. The diagnostic accuracy of the two methods showed similar results (>92%), and both were better than the TB method. The proposed method successfully created the automatic VOIs and calculated SBR rapidly (9 ± 1 s/patient), avoiding operator-induced variability and providing objective SBR results. MDPI 2020-05-09 /pmc/articles/PMC7277984/ /pubmed/32397547 http://dx.doi.org/10.3390/diagnostics10050289 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Rahman, Mahmudur G. M. Islam, Muhammad M. Tsujikawa, Tetsuya Okazawa, Hidehiko A Novel Automatic Approach for Calculation of the Specific Binding Ratio in [I-123]FP-CIT SPECT |
title | A Novel Automatic Approach for Calculation of the Specific Binding Ratio in [I-123]FP-CIT SPECT |
title_full | A Novel Automatic Approach for Calculation of the Specific Binding Ratio in [I-123]FP-CIT SPECT |
title_fullStr | A Novel Automatic Approach for Calculation of the Specific Binding Ratio in [I-123]FP-CIT SPECT |
title_full_unstemmed | A Novel Automatic Approach for Calculation of the Specific Binding Ratio in [I-123]FP-CIT SPECT |
title_short | A Novel Automatic Approach for Calculation of the Specific Binding Ratio in [I-123]FP-CIT SPECT |
title_sort | novel automatic approach for calculation of the specific binding ratio in [i-123]fp-cit spect |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7277984/ https://www.ncbi.nlm.nih.gov/pubmed/32397547 http://dx.doi.org/10.3390/diagnostics10050289 |
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