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Noninvasive Measurement of [(11)C]PiB Distribution Volume Using Integrated PET/MRI
A noninvasive image-derived input function (IDIF) method using PET/MRI was applied to quantitative measurements of [(11)C] Pittsburgh compound-B (PiB) distribution volume (DV) and compared with other metrics. Fifty-three patients suspected of early dementia (71 ± 11 y) underwent 70 min [(11)C]PiB PE...
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/PMC7760725/ https://www.ncbi.nlm.nih.gov/pubmed/33255169 http://dx.doi.org/10.3390/diagnostics10120993 |
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author | Okazawa, Hidehiko Ikawa, Masamichi Tsujikawa, Tetsuya Makino, Akira Mori, Tetsuya Kiyono, Yasushi Kosaka, Hirotaka |
author_facet | Okazawa, Hidehiko Ikawa, Masamichi Tsujikawa, Tetsuya Makino, Akira Mori, Tetsuya Kiyono, Yasushi Kosaka, Hirotaka |
author_sort | Okazawa, Hidehiko |
collection | PubMed |
description | A noninvasive image-derived input function (IDIF) method using PET/MRI was applied to quantitative measurements of [(11)C] Pittsburgh compound-B (PiB) distribution volume (DV) and compared with other metrics. Fifty-three patients suspected of early dementia (71 ± 11 y) underwent 70 min [(11)C]PiB PET/MRI. Nineteen of them (68 ± 11 y) without head motion during the scan were enrolled in this study and compared with 16 age-matched healthy controls (CTL: 68 ± 11 y). The dynamic frames reconstructed from listmode PET data were used for DV calculation. IDIF with metabolite correction was applied to the Logan plot method, and DV was normalized into DV ratio (DVR) images using the cerebellar reference (DVR(L)). DVR and standardized uptake value ratio (SUVR) images were also calculated using the reference tissue graphical method (DVR(r)) and the 50–70 min static data with cerebellar reference, respectively. Cortical values were compared using the 3D-T1WI MRI segmentation. All patients were assigned to the early Alzheimer’s disease (eAD) group because of positive [(11)C]PiB accumulation. The correlations of regional values were better for DVR(L) vs. DVR(r) (r(2) = 0.97) than for SUVR vs. DVR(r) (r(2) = 0.88). However, all metrics clearly differentiated eAD from CTL with appropriate thresholds. Noninvasive quantitative [(11)C]PiB PET/MRI measurement provided equivalent DVRs with the two methods. SUVR images showed acceptable results despite inferior variability and image quality to DVR images. |
format | Online Article Text |
id | pubmed-7760725 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-77607252020-12-26 Noninvasive Measurement of [(11)C]PiB Distribution Volume Using Integrated PET/MRI Okazawa, Hidehiko Ikawa, Masamichi Tsujikawa, Tetsuya Makino, Akira Mori, Tetsuya Kiyono, Yasushi Kosaka, Hirotaka Diagnostics (Basel) Article A noninvasive image-derived input function (IDIF) method using PET/MRI was applied to quantitative measurements of [(11)C] Pittsburgh compound-B (PiB) distribution volume (DV) and compared with other metrics. Fifty-three patients suspected of early dementia (71 ± 11 y) underwent 70 min [(11)C]PiB PET/MRI. Nineteen of them (68 ± 11 y) without head motion during the scan were enrolled in this study and compared with 16 age-matched healthy controls (CTL: 68 ± 11 y). The dynamic frames reconstructed from listmode PET data were used for DV calculation. IDIF with metabolite correction was applied to the Logan plot method, and DV was normalized into DV ratio (DVR) images using the cerebellar reference (DVR(L)). DVR and standardized uptake value ratio (SUVR) images were also calculated using the reference tissue graphical method (DVR(r)) and the 50–70 min static data with cerebellar reference, respectively. Cortical values were compared using the 3D-T1WI MRI segmentation. All patients were assigned to the early Alzheimer’s disease (eAD) group because of positive [(11)C]PiB accumulation. The correlations of regional values were better for DVR(L) vs. DVR(r) (r(2) = 0.97) than for SUVR vs. DVR(r) (r(2) = 0.88). However, all metrics clearly differentiated eAD from CTL with appropriate thresholds. Noninvasive quantitative [(11)C]PiB PET/MRI measurement provided equivalent DVRs with the two methods. SUVR images showed acceptable results despite inferior variability and image quality to DVR images. MDPI 2020-11-24 /pmc/articles/PMC7760725/ /pubmed/33255169 http://dx.doi.org/10.3390/diagnostics10120993 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 Okazawa, Hidehiko Ikawa, Masamichi Tsujikawa, Tetsuya Makino, Akira Mori, Tetsuya Kiyono, Yasushi Kosaka, Hirotaka Noninvasive Measurement of [(11)C]PiB Distribution Volume Using Integrated PET/MRI |
title | Noninvasive Measurement of [(11)C]PiB Distribution Volume Using Integrated PET/MRI |
title_full | Noninvasive Measurement of [(11)C]PiB Distribution Volume Using Integrated PET/MRI |
title_fullStr | Noninvasive Measurement of [(11)C]PiB Distribution Volume Using Integrated PET/MRI |
title_full_unstemmed | Noninvasive Measurement of [(11)C]PiB Distribution Volume Using Integrated PET/MRI |
title_short | Noninvasive Measurement of [(11)C]PiB Distribution Volume Using Integrated PET/MRI |
title_sort | noninvasive measurement of [(11)c]pib distribution volume using integrated pet/mri |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7760725/ https://www.ncbi.nlm.nih.gov/pubmed/33255169 http://dx.doi.org/10.3390/diagnostics10120993 |
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