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Voxel-based analysis of (201)Tl SPECT for grading and diagnostic accuracy of gliomas: comparison with ROI analysis

PURPOSE: The aim of this retrospective study was to assess the utility of a voxel-based analysis (VBA) method for (201)Tl SPECT in glioma, compared to conventional ROI analysis. METHODS: We recruited 24 patients with glioma (high-grade 15; low-grade 9), for whom pre-operative (201)Tl SPECT and MRI w...

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Autores principales: Kuwako, Tomoyuki, Mizumura, Sunao, Murakami, Ryusuke, Yoshida, Tamiko, Shiiba, Masato, Sato, Hidetaka, Fukushima, Yoshimitsu, Teramoto, Akira, Kumita, Shin-ichiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Japan 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3713261/
https://www.ncbi.nlm.nih.gov/pubmed/23592309
http://dx.doi.org/10.1007/s12149-013-0711-y
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author Kuwako, Tomoyuki
Mizumura, Sunao
Murakami, Ryusuke
Yoshida, Tamiko
Shiiba, Masato
Sato, Hidetaka
Fukushima, Yoshimitsu
Teramoto, Akira
Kumita, Shin-ichiro
author_facet Kuwako, Tomoyuki
Mizumura, Sunao
Murakami, Ryusuke
Yoshida, Tamiko
Shiiba, Masato
Sato, Hidetaka
Fukushima, Yoshimitsu
Teramoto, Akira
Kumita, Shin-ichiro
author_sort Kuwako, Tomoyuki
collection PubMed
description PURPOSE: The aim of this retrospective study was to assess the utility of a voxel-based analysis (VBA) method for (201)Tl SPECT in glioma, compared to conventional ROI analysis. METHODS: We recruited 24 patients with glioma (high-grade 15; low-grade 9), for whom pre-operative (201)Tl SPECT and MRI were performed. SPECT images were coregistered with MRI. The uptake ratio (UR) images of tumor to contralateral normal tissue were measured on early and delayed images, and the (201)Tl retention index (RI) map was calculated from the early and delayed uptake ratio maps. In the ROI analysis, tumors were traced on a UR map, and the mean and maximal uptake ratio values on the early images were, respectively, defined as the mean and maximal UR. The mean and maximal RI values (mean and maximal RI) were calculated by division of the mean and maximal UR, respectively, on the delayed image by the mean and maximal UR on the early image. For the RI map calculated voxel by voxel, the maximal RI value was defined as VBA-RI. We evaluated sensitivity and accuracy of differential analysis with the mean and maximal UR, RI, and VBA-RI. RESULTS: The high- and low-grade groups showed no significant difference in mean and maximal RI (0.98 ± 0.12 vs. 1.05 ± 0.09 and 0.98 ± 0.18 vs. 1.05 ± 0.14, respectively). The AUC and accuracy of the mean and maximal RI were 0.681 and 66.7 %, and 0.622 and 62.5 %, respectively. In contrast, VBA-RI was higher in high-grade than in low-grade glioma (1.69 ± 0.27 vs. 0.68 ± 0.66, p < 0.001). The AUC and accuracy of VBA-RI were 0.963 and 95.8 %, which are higher than those obtained for mean (p < 0.05) and maximal RI (p < 0.01). There was no significant difference in ROC between the VBA-RI and the mean UR (0.911, p = 0.456) and maximal UR (0.933, p = 0.639); however, the AUC, sensitivity, and diagnostic accuracy of VBA-RI were all higher than those of the mean and maximal UR. CONCLUSION: The voxel-based analysis method of (201)Tl SPECT may improve diagnostic performance for gliomas, compared with ROI analysis.
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spelling pubmed-37132612013-08-15 Voxel-based analysis of (201)Tl SPECT for grading and diagnostic accuracy of gliomas: comparison with ROI analysis Kuwako, Tomoyuki Mizumura, Sunao Murakami, Ryusuke Yoshida, Tamiko Shiiba, Masato Sato, Hidetaka Fukushima, Yoshimitsu Teramoto, Akira Kumita, Shin-ichiro Ann Nucl Med Original Article PURPOSE: The aim of this retrospective study was to assess the utility of a voxel-based analysis (VBA) method for (201)Tl SPECT in glioma, compared to conventional ROI analysis. METHODS: We recruited 24 patients with glioma (high-grade 15; low-grade 9), for whom pre-operative (201)Tl SPECT and MRI were performed. SPECT images were coregistered with MRI. The uptake ratio (UR) images of tumor to contralateral normal tissue were measured on early and delayed images, and the (201)Tl retention index (RI) map was calculated from the early and delayed uptake ratio maps. In the ROI analysis, tumors were traced on a UR map, and the mean and maximal uptake ratio values on the early images were, respectively, defined as the mean and maximal UR. The mean and maximal RI values (mean and maximal RI) were calculated by division of the mean and maximal UR, respectively, on the delayed image by the mean and maximal UR on the early image. For the RI map calculated voxel by voxel, the maximal RI value was defined as VBA-RI. We evaluated sensitivity and accuracy of differential analysis with the mean and maximal UR, RI, and VBA-RI. RESULTS: The high- and low-grade groups showed no significant difference in mean and maximal RI (0.98 ± 0.12 vs. 1.05 ± 0.09 and 0.98 ± 0.18 vs. 1.05 ± 0.14, respectively). The AUC and accuracy of the mean and maximal RI were 0.681 and 66.7 %, and 0.622 and 62.5 %, respectively. In contrast, VBA-RI was higher in high-grade than in low-grade glioma (1.69 ± 0.27 vs. 0.68 ± 0.66, p < 0.001). The AUC and accuracy of VBA-RI were 0.963 and 95.8 %, which are higher than those obtained for mean (p < 0.05) and maximal RI (p < 0.01). There was no significant difference in ROC between the VBA-RI and the mean UR (0.911, p = 0.456) and maximal UR (0.933, p = 0.639); however, the AUC, sensitivity, and diagnostic accuracy of VBA-RI were all higher than those of the mean and maximal UR. CONCLUSION: The voxel-based analysis method of (201)Tl SPECT may improve diagnostic performance for gliomas, compared with ROI analysis. Springer Japan 2013-04-17 2013 /pmc/articles/PMC3713261/ /pubmed/23592309 http://dx.doi.org/10.1007/s12149-013-0711-y Text en © The Author(s) 2013 https://creativecommons.org/licenses/by/2.0/ Open AccessThis article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.
spellingShingle Original Article
Kuwako, Tomoyuki
Mizumura, Sunao
Murakami, Ryusuke
Yoshida, Tamiko
Shiiba, Masato
Sato, Hidetaka
Fukushima, Yoshimitsu
Teramoto, Akira
Kumita, Shin-ichiro
Voxel-based analysis of (201)Tl SPECT for grading and diagnostic accuracy of gliomas: comparison with ROI analysis
title Voxel-based analysis of (201)Tl SPECT for grading and diagnostic accuracy of gliomas: comparison with ROI analysis
title_full Voxel-based analysis of (201)Tl SPECT for grading and diagnostic accuracy of gliomas: comparison with ROI analysis
title_fullStr Voxel-based analysis of (201)Tl SPECT for grading and diagnostic accuracy of gliomas: comparison with ROI analysis
title_full_unstemmed Voxel-based analysis of (201)Tl SPECT for grading and diagnostic accuracy of gliomas: comparison with ROI analysis
title_short Voxel-based analysis of (201)Tl SPECT for grading and diagnostic accuracy of gliomas: comparison with ROI analysis
title_sort voxel-based analysis of (201)tl spect for grading and diagnostic accuracy of gliomas: comparison with roi analysis
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3713261/
https://www.ncbi.nlm.nih.gov/pubmed/23592309
http://dx.doi.org/10.1007/s12149-013-0711-y
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