Literature DB >> 26359262

Performance of 11C-Pittsburgh Compound B PET Binding Potential Images in the Detection of Amyloid Deposits on Equivocal Static Images.

Chisa Hosokawa1, Kazunari Ishii2, Yuichi Kimura3, Tomoko Hyodo4, Makoto Hosono5, Kenta Sakaguchi6, Kimio Usami6, Kenji Shimamoto6, Yuzuru Yamazoe6, Takamichi Murakami5.   

Abstract

UNLABELLED: The goal of this study was to clarify whether binding potential (BP) images using (11)C-Pittsburgh compound B ((11)C-PiB) and dynamic PET can reliably detect cortical amyloid deposits for patients whose (11)C-PiB PET static images are ambiguous and whether visual ratings are affected by white matter retention.
METHODS: Static and BP images were constructed for 85 consecutive patients with cognitive impairment after (11)C-PiB dynamic PET. Cortical uptake was visually assessed as positive, negative, or equivocal for both types of images. Quantitatively, the standardized uptake value ratio (SUVR) from the static image, the nondisplaceable BP from the dynamic image for mean gray matter uptake, and the ratio of gray matter uptake to white matter retention were compared among (11)C-PiB-positive, (11)C-PiB-equivocal, and (11)C-PiB-negative groups.
RESULTS: Forty-three scans were visually assessed as (11)C-PiB-positive in both the static and the BP images. Ten scans were (11)C-PiB-equivocal in the static images. In 8 of them, the BP images were (11)C-PiB-positive, whereas the other 2 were (11)C-PiB-equivocal. Thirty-two scans were assessed as (11)C-PiB-negative in the static images. In the BP images, 4 were (11)C-PiB-positive and 2 were (11)C-PiB-equivocal. The mean gray matter uptake of (11)C-PiB in SUVR and nondisplaceable BP, respectively, showed statistically significant differences among the (11)C-PiB-positive, (11)C-PiB-equivocal, and (11)C-PiB-negative groups. The ratio of gray matter uptake to white matter retention was lower in the BP images than static images from the (11)C-PiB-negative and (11)C-PiB-equivocal groups, whereas it was higher in the (11)C-PiB-positive group.
CONCLUSION: (11)C-PiB PET BP images can clarify visual interpretation of clinical static (11)C-PiB-equivocal images by reducing the interference of nonspecific white matter retention. We conclude that (11)C-PiB-equivocal PET findings on static images reflect cortical amyloid deposits, which can be verified using BP images. Furthermore, quantitative assessments, such as SUVR and nondisplaceable BP, are of no use for correctly rating equivocal visual findings.
© 2015 by the Society of Nuclear Medicine and Molecular Imaging, Inc.

Entities:  

Keywords:  11C-PiB; binding potential; equivocal; positron emission tomography; white matter retention

Mesh:

Substances:

Year:  2015        PMID: 26359262     DOI: 10.2967/jnumed.115.156414

Source DB:  PubMed          Journal:  J Nucl Med        ISSN: 0161-5505            Impact factor:   10.057


  8 in total

1.  A 4-Year Follow-Up of Subjects with Visually Equivocal Amyloid Positron Emission Tomography Findings from the Alzheimer's Disease Neuroimaging Initiative Cohort.

Authors:  Minyoung Oh; Minjung Seo; Sun Young Oh; Heeyoung Kim; Byung Wook Choi; Jungsu S Oh; Jae Seung Kim
Journal:  Nucl Med Mol Imaging       Date:  2021-03-04

2.  The feasibility of 11C-PIB-PET/CT for amyloid plaque burden: validation of the effectiveness of CT-based partial volume correction.

Authors:  Kei Sasaki; Norihide Maikusa; Etsuko Imabayashi; Tetsuya Yuasa; Hiroshi Matsuda
Journal:  Brain Behav       Date:  2016-08-01       Impact factor: 2.708

3.  I-123 iomazenil single photon emission computed tomography for detecting loss of neuronal integrity in patients with traumatic brain injury.

Authors:  Kagari Abiko; Katsunori Ikoma; Tohru Shiga; Chietsugu Katoh; Kenji Hirata; Yuji Kuge; Kentaro Kobayashi; Nagara Tamaki
Journal:  EJNMMI Res       Date:  2017-03-23       Impact factor: 3.138

4.  Noninvasive Measurement of [11C]PiB Distribution Volume Using Integrated PET/MRI.

Authors:  Hidehiko Okazawa; Masamichi Ikawa; Tetsuya Tsujikawa; Akira Makino; Tetsuya Mori; Yasushi Kiyono; Hirotaka Kosaka
Journal:  Diagnostics (Basel)       Date:  2020-11-24

5.  Deep Learning With 18F-Fluorodeoxyglucose-PET Gives Valid Diagnoses for the Uncertain Cases in Memory Impairment of Alzheimer's Disease.

Authors:  Wei Zhang; Tianhao Zhang; Tingting Pan; Shilun Zhao; Binbin Nie; Hua Liu; Baoci Shan
Journal:  Front Aging Neurosci       Date:  2021-12-15       Impact factor: 5.750

6.  Amyloid PET quantification using low-dose CT-guided anatomic standardization.

Authors:  Hiroshi Matsuda; Tensho Yamao; Mitsuru Shakado; Yoko Shigemoto; Kyoji Okita; Noriko Sato
Journal:  EJNMMI Res       Date:  2021-12-14       Impact factor: 3.138

7.  Software development for quantitative analysis of brain amyloid PET.

Authors:  Hiroshi Matsuda; Tensho Yamao
Journal:  Brain Behav       Date:  2022-02-08       Impact factor: 2.708

8.  Evaluation of PiB visual interpretation with CSF Aβ and longitudinal SUVR in J-ADNI study.

Authors:  Yusuke Okada; Takashi Kato; Kaori Iwata; Yasuyuki Kimura; Akinori Nakamura; Hideyuki Hattori; Hiroshi Toyama; Kazunari Ishii; Kenji Ishii; Michio Senda; Kengo Ito; Takeshi Iwatsubo
Journal:  Ann Nucl Med       Date:  2019-11-20       Impact factor: 2.668

  8 in total

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