Literature DB >> 21195782

Inter-rater reliability of manual and automated region-of-interest delineation for PiB PET.

Bedda L Rosario1, Lisa A Weissfeld, Charles M Laymon, Chester A Mathis, William E Klunk, Michael D Berginc, Jeffrey A James, Jessica A Hoge, Julie C Price.   

Abstract

A major challenge in positron emission tomography (PET) amyloid imaging studies of Alzheimer's disease (AD) is the reliable detection of early amyloid deposition in human brain. Manual region-of-interest (ROI) delineation on structural magnetic resonance (MR) images is generally the reference standard for the extraction of count-rate data from PET images, as compared to automated MR-template(s) methods that utilize spatial normalization and a single set of ROIs. The goal of this work was to assess the inter-rater reliability of manual ROI delineation for PiB PET amyloid retention measures and the impact of CSF dilution correction (CSF) on this reliability for data acquired in elderly control (n=5) and AD (n=5) subjects. The intraclass correlation coefficient (ICC) was used to measure reliability. As a secondary goal, ICC scores were also computed for PiB outcome measures obtained by an automated MR-template ROI method and one manual rater; to assess the level of reliability that could be achieved using different processing methods. Fourteen ROIs were evaluated that included anterior cingulate (ACG), precuneus (PRC) and cerebellum (CER). The PiB outcome measures were the volume of distribution (V(T)), summed tissue uptake (SUV), and corresponding ratios that were computed using CER as reference (DVR and SUVR). Substantial reliability (ICC≥0.932) was obtained across 3 manual raters for V(T) and SUV measures when CSF correction was applied across all outcomes and regions and was similar in the absence of CSF correction. The secondary analysis revealed substantial reliability in primary cortical areas between the automated and manual SUV [ICC≥0.979 (ACG/PRC)] and SUVR [ICC≥0.977/0.952 (ACG/PRC)] outcomes. The current study indicates the following rank order among the various reliability results in primary cortical areas and cerebellum (high to low): 1) V(T) or SUV manual delineation, with or without CSF correction; 2) DVR or SUVR manual delineation, with or without CSF correction; 3) SUV automated delineation, with CSF correction; and 4) SUVR automated delineation, with or without CSF correction. The high inter-rater reliability of PiB outcome measures in primary cortical areas (ACG/PRC) is important as reliable methodology is needed for the detection of low levels of amyloid deposition on a cross-sectional basis and small changes in amyloid deposition on a longitudinal basis.
Copyright © 2011 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 21195782      PMCID: PMC3057323          DOI: 10.1016/j.neuroimage.2010.12.070

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  37 in total

1.  Medial prefrontal cortex 5-HT(2A) density is correlated with amygdala reactivity, response habituation, and functional coupling.

Authors:  Patrick M Fisher; Carolyn C Meltzer; Julie C Price; Rhaven L Coleman; Scott K Ziolko; Carl Becker; Eydie L Moses-Kolko; Sarah L Berga; Ahmad R Hariri
Journal:  Cereb Cortex       Date:  2009-03-25       Impact factor: 5.357

Review 2.  Intraclass correlations: uses in assessing rater reliability.

Authors:  P E Shrout; J L Fleiss
Journal:  Psychol Bull       Date:  1979-03       Impact factor: 17.737

3.  Assessment of parameter settings for SPM5 spatial normalization of structural MRI data: application to type 2 diabetes.

Authors:  Bedda L Rosario; Scott K Ziolko; Lisa A Weissfeld; Julie C Price
Journal:  Neuroimage       Date:  2008-02-15       Impact factor: 6.556

4.  Basal cerebral metabolism may modulate the cognitive effects of Abeta in mild cognitive impairment: an example of brain reserve.

Authors:  Ann D Cohen; Julie C Price; Lisa A Weissfeld; Jeffrey James; Bedda L Rosario; Wenzhu Bi; Robert D Nebes; Judith A Saxton; Beth E Snitz; Howard A Aizenstein; David A Wolk; Steven T Dekosky; Chester A Mathis; William E Klunk
Journal:  J Neurosci       Date:  2009-11-25       Impact factor: 6.167

5.  Beta-amyloid imaging and memory in non-demented individuals: evidence for preclinical Alzheimer's disease.

Authors:  Kerryn E Pike; Greg Savage; Victor L Villemagne; Steven Ng; Simon A Moss; Paul Maruff; Chester A Mathis; William E Klunk; Colin L Masters; Christopher C Rowe
Journal:  Brain       Date:  2007-10-10       Impact factor: 13.501

6.  Consideration of optimal time window for Pittsburgh compound B PET summed uptake measurements.

Authors:  Rebecca L McNamee; Seong-Hwan Yee; Julie C Price; William E Klunk; Bedda Rosario; Lisa Weissfeld; Scott Ziolko; Michael Berginc; Brian Lopresti; Steven Dekosky; Chester A Mathis
Journal:  J Nucl Med       Date:  2009-02-17       Impact factor: 10.057

7.  Relationships between biomarkers in aging and dementia.

Authors:  W J Jagust; S M Landau; L M Shaw; J Q Trojanowski; R A Koeppe; E M Reiman; N L Foster; R C Petersen; M W Weiner; J C Price; C A Mathis
Journal:  Neurology       Date:  2009-10-13       Impact factor: 9.910

8.  Amyloid imaging in mild cognitive impairment subtypes.

Authors:  David A Wolk; Julie C Price; Judy A Saxton; Beth E Snitz; Jeffrey A James; Oscar L Lopez; Howard J Aizenstein; Ann D Cohen; Lisa A Weissfeld; Chester A Mathis; William E Klunk; Steven T De-Kosky; Steven T DeKoskym
Journal:  Ann Neurol       Date:  2009-05       Impact factor: 10.422

9.  Imaging beta-amyloid burden in aging and dementia.

Authors:  C C Rowe; S Ng; U Ackermann; S J Gong; K Pike; G Savage; T F Cowie; K L Dickinson; P Maruff; D Darby; C Smith; M Woodward; J Merory; H Tochon-Danguy; G O'Keefe; W E Klunk; C A Mathis; J C Price; C L Masters; V L Villemagne
Journal:  Neurology       Date:  2007-05-15       Impact factor: 9.910

10.  Frequent amyloid deposition without significant cognitive impairment among the elderly.

Authors:  Howard Jay Aizenstein; Robert D Nebes; Judith A Saxton; Julie C Price; Chester A Mathis; Nicholas D Tsopelas; Scott K Ziolko; Jeffrey A James; Beth E Snitz; Patricia R Houck; Wenzhu Bi; Ann D Cohen; Brian J Lopresti; Steven T DeKosky; Edythe M Halligan; William E Klunk
Journal:  Arch Neurol       Date:  2008-11
View more
  34 in total

1.  Cognitive decline and brain amyloid-β accumulation across 3 years in adults with Down syndrome.

Authors:  Sigan L Hartley; Benjamin L Handen; Darlynne Devenny; Iulia Mihaila; Regina Hardison; Patrick J Lao; William E Klunk; Peter Bulova; Sterling C Johnson; Bradley T Christian
Journal:  Neurobiol Aging       Date:  2017-06-02       Impact factor: 4.673

2.  Influence of apolipoprotein-E genotype on brain amyloid load and longitudinal trajectories.

Authors:  Brian J Lopresti; Elizabeth M Campbell; Zheming Yu; Stewart J Anderson; Ann D Cohen; Davneet S Minhas; Beth E Snitz; Sarah K Royse; Carl R Becker; Howard J Aizenstein; Chester A Mathis; Oscar L Lopez; William E Klunk; Dana L Tudorascu
Journal:  Neurobiol Aging       Date:  2020-05-31       Impact factor: 4.673

3.  Relative 11C-PiB Delivery as a Proxy of Relative CBF: Quantitative Evaluation Using Single-Session 15O-Water and 11C-PiB PET.

Authors:  Yin J Chen; Bedda L Rosario; Wenzhu Mowrey; Charles M Laymon; Xueling Lu; Oscar L Lopez; William E Klunk; Brian J Lopresti; Chester A Mathis; Julie C Price
Journal:  J Nucl Med       Date:  2015-06-04       Impact factor: 10.057

4.  Perfusion-like template and standardized normalization-based brain image analysis using 18F-florbetapir (AV-45/Amyvid) PET.

Authors:  Ing-Tsung Hsiao; Chin-Chang Huang; Chia-Ju Hsieh; Shiaw-Pyng Wey; Mei-Ping Kung; Tzu-Chen Yen; Kun-Ju Lin
Journal:  Eur J Nucl Med Mol Imaging       Date:  2013-02-15       Impact factor: 9.236

5.  Evaluation of two automated methods for PET region of interest analysis.

Authors:  Martin Schain; Katarina Varnäs; Zsolt Cselényi; Christer Halldin; Lars Farde; Andrea Varrone
Journal:  Neuroinformatics       Date:  2014-10

6.  Sleep moderates the relationship between amyloid beta and memory recall.

Authors:  Kristine A Wilckens; Dana L Tudorascu; Beth E Snitz; Julie C Price; Howard J Aizenstein; Oscar L Lopez; Kirk I Erickson; Brian J Lopresti; Charles M Laymon; Davneet Minhas; Chester A Mathis; Daniel J Buysse; William E Klunk; Ann D Cohen
Journal:  Neurobiol Aging       Date:  2018-07-26       Impact factor: 4.673

7.  [11C]Harmine Binding to Brain Monoamine Oxidase A: Test-Retest Properties and Noninvasive Quantification.

Authors:  Francesca Zanderigo; Alexandra E D'Agostino; Nandita Joshi; Martin Schain; Dileep Kumar; Ramin V Parsey; Christine DeLorenzo; J John Mann
Journal:  Mol Imaging Biol       Date:  2018-08       Impact factor: 3.488

8.  Partial volume correction in quantitative amyloid imaging.

Authors:  Yi Su; Tyler M Blazey; Abraham Z Snyder; Marcus E Raichle; Daniel S Marcus; Beau M Ances; Randall J Bateman; Nigel J Cairns; Patricia Aldea; Lisa Cash; Jon J Christensen; Karl Friedrichsen; Russ C Hornbeck; Angela M Farrar; Christopher J Owen; Richard Mayeux; Adam M Brickman; William Klunk; Julie C Price; Paul M Thompson; Bernadino Ghetti; Andrew J Saykin; Reisa A Sperling; Keith A Johnson; Peter R Schofield; Virginia Buckles; John C Morris; Tammie L S Benzinger
Journal:  Neuroimage       Date:  2014-12-05       Impact factor: 6.556

9.  Use of Standardized Uptake Value Ratios Decreases Interreader Variability of [18F] Florbetapir PET Brain Scan Interpretation.

Authors:  A P Nayate; J G Dubroff; J E Schmitt; I Nasrallah; R Kishore; D Mankoff; D A Pryma
Journal:  AJNR Am J Neuroradiol       Date:  2015-03-12       Impact factor: 3.825

10.  Cognitive functioning in relation to brain amyloid-β in healthy adults with Down syndrome.

Authors:  Sigan L Hartley; Benjamin L Handen; Darlynne A Devenny; Regina Hardison; Iulia Mihaila; Julie C Price; Annie D Cohen; William E Klunk; Marsha R Mailick; Sterling C Johnson; Bradley T Christian
Journal:  Brain       Date:  2014-07-02       Impact factor: 13.501

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.