Literature DB >> 35239129

Decreased imaging time of amyloid PET using [18F]florbetapir can maintain quantitative accuracy.

Kei Wagatsuma1,2, Kenji Ishibashi3, Masashi Kameyama3,4, Muneyuki Sakata3, Kenta Miwa5, Yuto Kamitaka3, Kenji Ishii3.   

Abstract

Shortening the amount of time required to acquire amyloid positron emission tomography (PET) brain images while maintaining the accuracy of quantitative evaluation would help to overcome motion artifacts associated with Alzheimer's disease patients. The present study aimed to validate the quantitative accuracy of [18F]florbetapir ([18F]FBP) imaging over a shorter acquisition duration. Forty participants were injected with [18F]FBP, and PET images were acquired for 50-55, 50-60, and 50-70 min after injection. Three physicians visually assessed the reprocessed [18F]FBP images using a binary scale to classify them as amyloid β (Aβ) negative or positive. A mean composite standard uptake value ratio (cSUVR) > 1.075 was defined as Aβ-positive based on receiver operating characteristic curves. Inter-reader and inter-acquisition duration agreements with visual assessment were evaluated using Cohen's kappa (κ). Binary visual discrimination of 102 for the 120 [18F]FBP images, was consistent among the three readers. Sixteen, sixteen, and fourteen of the 40 [18F]FBP images acquired for 50-55, 50-60, and 50-70 min after injection, respectively, were deemed Aβ-positive by visual assessment. The inter-rater agreement was high, and the inter-acquisition duration agreement was almost perfect. The cSUVR did not change significantly among the acquisition durations, and the acquisition duration did not affect the outcome of discrimination based on the cSUVR cutoff. A shorter acquisition duration changed the visual assessment outcomes. Stable quantitative values were derived from [18F]FBP images acquired within 5 min. cSUVR helped to improve the performance and confidence in the outcomes of visual assessment.
© 2022. The Author(s), under exclusive licence to Japanese Society of Radiological Technology and Japan Society of Medical Physics.

Entities:  

Keywords:  Alzheimer disease; Amyloid; Dementia; Quantitative analysis

Mesh:

Substances:

Year:  2022        PMID: 35239129     DOI: 10.1007/s12194-022-00653-7

Source DB:  PubMed          Journal:  Radiol Phys Technol        ISSN: 1865-0333


  5 in total

1.  Optimizing imaging protocols for overweight and obese patients: a lutetium orthosilicate PET/CT study.

Authors:  Benjamin S Halpern; Magnus Dahlbom; Martin A Auerbach; Christiaan Schiepers; Barbara J Fueger; Wolfgang A Weber; Daniel H S Silverman; Osman Ratib; Johannes Czernin
Journal:  J Nucl Med       Date:  2005-04       Impact factor: 10.057

2.  Motion artifact reduction on parametric PET images of neuroreceptor binding.

Authors:  Hans Herzog; Lutz Tellmann; Roger Fulton; Isabelle Stangier; Elena Rota Kops; Kay Bente; Christian Boy; Rene Hurlemann; Uwe Pietrzyk
Journal:  J Nucl Med       Date:  2005-06       Impact factor: 10.057

3.  Correlation between two methods of florbetapir PET quantitative analysis.

Authors:  Christopher Breault; Jonathan Piper; Abhinay D Joshi; Sara D Pirozzi; Aaron S Nelson; Ming Lu; Michael J Pontecorvo; Mark A Mintun; Michael D Devous
Journal:  Am J Nucl Med Mol Imaging       Date:  2017-07-15

4.  Impact of patient weight and emission scan duration on PET/CT image quality and lesion detectability.

Authors:  Benjamin S Halpern; Magnus Dahlbom; Andrew Quon; Christian Schiepers; Christian Waldherr; Daniel H Silverman; Osman Ratib; Johannes Czernin
Journal:  J Nucl Med       Date:  2004-05       Impact factor: 10.057

5.  Contributions of imprecision in PET-MRI rigid registration to imprecision in amyloid PET SUVR measurements.

Authors:  Christopher G Schwarz; David T Jones; Jeffrey L Gunter; Val J Lowe; Prashanthi Vemuri; Matthew L Senjem; Ronald C Petersen; David S Knopman; Clifford R Jack
Journal:  Hum Brain Mapp       Date:  2017-04-22       Impact factor: 5.038

  5 in total
  1 in total

Review 1.  What are useful methods to reduce occupational radiation exposure among radiological medical workers, especially for interventional radiology personnel?

Authors:  Koichi Chida
Journal:  Radiol Phys Technol       Date:  2022-05-24
  1 in total

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