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Julie C. Price

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YNICL Journal 2018 Journal Article

Impact of partial volume correction on the regional correspondence between in vivo [C-11]PiB PET and postmortem measures of Aβ load

  • Davneet S. Minhas
  • Julie C. Price
  • Charles M. Laymon
  • Carl R. Becker
  • William E. Klunk
  • Dana L. Tudorascu
  • Eric E. Abrahamson
  • Ronald L. Hamilton

The positron emission tomography (PET) radiotracer Pittsburgh Compound B ([C-11]PiB) demonstrates a high affinity for fibrillary amyloid-beta (Aβ) aggregates. However, [C-11]PiB's in vivo sensitivity and specificity is an ongoing area of investigation in correlation studies with postmortem measures of Aβ pathology. One potential confound in PET-to-postmortem correlation studies is the limited spatial resolution of PET and resulting partial volume effects (PVEs). In this work, we evaluated the impact of three partial volume correction (PVC) techniques – the Meltzer, the modified Müller-Gärtner, and the Region-Based Voxel-Wise – on correlations between region-matched in vivo [C-11]PiB standardized uptake value ratios (SUVRs) and postmortem measures of Aβ pathology in a unique cohort of nine subjects. Postmortem Aβ pathology was assessed histologically as percent area coverage of 6-CN-PiB positive and Aβ immunoreactive (4G8 antibody) deposits. The application of all three PVC techniques resulted in minimally reduced PET-to-postmortem correlations relative to no PVC. However, correlations to both 6-CN-PiB and 4G8 percent area across all PVC techniques and no PVC were statistically significant at p < 0. 01, suggesting that PVC is of minimal importance in understanding the relationship between Aβ PET and neuropathologically assessed Aβ. Thus, the utility of PVC in Aβ PET imaging should continue to be examined on an application-specific basis.

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YNICL Journal 2015 Journal Article

Comparison of qualitative and quantitative imaging characteristics of [11C]PiB and [18F]flutemetamol in normal control and Alzheimer's subjects

  • James M. Mountz
  • Charles M. Laymon
  • Ann D. Cohen
  • Zheng Zhang
  • Julie C. Price
  • Sanaa Boudhar
  • Eric McDade
  • Howard J. Aizenstein

INTRODUCTION: Neuritic amyloid plaques and neurofibrillary tangles, the hallmark pathologic lesions of Alzheimer's disease, are thought to develop before the symptoms of brain failure are clinically detectable. Imaging methods capable of detecting the presence of neuritic amyloid plaques should improve a clinician's ability to identify Alzheimer's disease during the earliest symptomatic phase and to identify at-risk individuals presymptomatically. Currently the best studied amyloid imaging ligand is [(11)C]Pittsburgh Compound B ([(11)C]PiB). However, the 20-minute half-life of this radiotracer limits its use. This study is designed to evaluate the performance characteristics of [(18)F]flutemetamol and to independently compare results to [(11)C]PiB in the same subjects. METHODS: Twenty-three subjects, 15 cognitively normal (NL) and 8 with a clinical diagnosis of Alzheimer's Dementia (AD), underwent [(11)C]PiB and [(18)F]flutemetamol PET scans within 28 days of study enrollment. We studied both normal and AD subjects to assess the uptake characteristics across a range of amyloid positivity. Blinded visual reads were conducted by five raters. Correlation analyses were performed between cortical SUVR for the two tracers and also between rater scores and SUVR for each tracer. Overall reader accuracy for classifying scans as amyloid positive or negative was determined for each tracer using SUVR classification as the standard. RESULTS: The linear correlation coefficient between global cortical SUVR for the two tracers was R(2) = 0.85, indicating that both tracers have similar retention characteristics. The two tracers were well correlated for rater-determined AD-like positivity (Cohen κ = 0.82). Averaged visual ratings and global cortical SUVR disagreed on their classification in 2/23 [(11)C]PiB scans and 4/23 [(18)F]flutemetamol scans. CONCLUSIONS: [(11)C]PiB and [(18)F]flutemetamol have similar retention characteristics across a range of amyloid negative to positive subjects. Both tracers performed similarly when a standardized visual read technique was used to classify scans as amyloid-positive or amyloid-negative and correlated well with SUVR classifications. However, care in visual interpretation of amyloid positive versus amyloid negative regions should be taken, particularly in the case of [(18)F]flutemetamol when considering cortical vs. white-matter retention.

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YNIMG Journal 2015 Journal Article

Partial volume correction in quantitative amyloid imaging

  • Yi Su
  • Tyler M. Blazey
  • Abraham Z. Snyder
  • Marcus E. Raichle
  • Daniel S. Marcus
  • Beau M. Ances
  • Randall J. Bateman
  • Nigel J. Cairns

Amyloid imaging is a valuable tool for research and diagnosis in dementing disorders. As positron emission tomography (PET) scanners have limited spatial resolution, measured signals are distorted by partial volume effects. Various techniques have been proposed for correcting partial volume effects, but there is no consensus as to whether these techniques are necessary in amyloid imaging, and, if so, how they should be implemented. We evaluated a two-component partial volume correction technique and a regional spread function technique using both simulated and human Pittsburgh compound B (PiB) PET imaging data. Both correction techniques compensated for partial volume effects and yielded improved detection of subtle changes in PiB retention. However, the regional spread function technique was more accurate in application to simulated data. Because PiB retention estimates depend on the correction technique, standardization is necessary to compare results across groups. Partial volume correction has sometimes been avoided because it increases the sensitivity to inaccuracy in image registration and segmentation. However, our results indicate that appropriate PVC may enhance our ability to detect changes in amyloid deposition.

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YNIMG Journal 2013 Journal Article

Classification of amyloid-positivity in controls: Comparison of visual read and quantitative approaches

  • Ann D. Cohen
  • Wenzhu Mowrey
  • Lisa A. Weissfeld
  • Howard J. Aizenstein
  • Eric McDade
  • James M. Mountz
  • Robert D. Nebes
  • Judith A. Saxton

An important research application of amyloid imaging with positron emission tomography (PET) is detection of the earliest evidence of fibrillar amyloid-beta (Aβ) deposition. Use of amyloid PET for this purpose, requires a reproducible method for defining a cutoff that separates individuals with no significant Aβ deposition from those in which Aβ deposition has begun. We previously reported the iterative outlier approach (IO) for the analysis of Pittsburgh Compound-B (PiB) PET data. Developments in amyloid imaging since the initial report of IO have led us to re-examine the generalizability of this method. IO was developed using full-dynamic atrophy-corrected PiB PET data obtained from a group of control subjects with a fairly distinct separation between PiB-positive [PiB(+)] and PiB-negative [PiB(−)] subjects. Methods We tested the performance of IO using late-summed tissue ratio data with atrophy correction or with an automated template method without atrophy correction and tested the robustness of the method when applied to a cohort of older subjects in which separation between PiB(+) and PiB(−) subjects was not so distinct. Results The IO method did not perform consistently across analyses and performed particularly poorly when separation was less clear. We found that a sparse k-means (SKM) cluster analysis approach performed significantly better; performing more consistently across methods and subject cohorts. We also compared SKM to a consensus visual read approach and found very good correspondence. Conclusion The visual read and SKM methods, applied together, may optimize the identification of early Aβ deposition. These methods have the potential to provide a standard approach to the detection of PiB-positivity that is generalizable across centers.

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YNIMG Journal 2011 Journal Article

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

  • Bedda L. Rosario
  • Lisa A. Weissfeld
  • Charles M. Laymon
  • Chester A. Mathis
  • William E. Klunk
  • Michael D. Berginc
  • Jeffrey A. James
  • Jessica A. Hoge

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 (VT), 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 VT 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) VT 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.

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YNIMG Journal 2008 Journal Article

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

  • Bedda L. Rosario
  • Scott K. Ziolko
  • Lisa A. Weissfeld
  • Julie C. Price

Spatial normalization is the process of standardizing images of different subjects into the same anatomical space. The goal of this work was to assess standard and unified methods in SPM5 for the normalization of structural magnetic resonance imaging (MRI) data acquired in mid-life/elderly subjects with diabetes. In this work, we examined the impact of different parameters (i. e. nonlinear frequency cutoff, nonlinear regularization and nonlinear iterations) on the normalization, in terms of the residual variability. Total entropy was used to assess the residual anatomical variability after spatial normalization in a sample of 14 healthy mid-life/elderly control subjects and 24 mid-life/elderly subjects with type 2 diabetes. Spatial normalization was performed using default settings and by varying a single parameter or a combination of parameters. Descriptive statistics and nonparametric tests were used to examine differences in total entropy. Statistical parametric mapping analyses were performed to evaluate the influence of parameter settings on the spatial normalization. Total entropy results and SPM analyses suggest that the best parameters for the spatial normalization of mid-life/elderly image data to the MNI template, when applying the standard approach, correspond to the default cutoff (25 mm), heavy regularization, and the default number of nonlinear iterations (16). On the other hand, when applying the unified approach, the default parameters were the best for spatial normalization of mid-life/elderly image data to the MNI priors. These findings are relevant for studies of structural brain alterations that may occur in normal aging, chronic medical conditions, neuropsychiatric disorders, and neurodegenerative disorders.

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YNIMG Journal 2006 Journal Article

Evaluation of voxel-based methods for the statistical analysis of PIB PET amyloid imaging studies in Alzheimer's disease

  • Scott K. Ziolko
  • Lisa A. Weissfeld
  • William E. Klunk
  • Chester A. Mathis
  • Jessica A. Hoge
  • Brian J. Lopresti
  • Steven T. DeKosky
  • Julie C. Price

Deposition of amyloid plaques is believed to be a central event in the development of Alzheimer's disease (AD). The present study was undertaken to evaluate statistical methods for the assessment of group differences in retention of an amyloid imaging agent, PIB, throughout the brain and to compare these results to FDG studies of glucose metabolism performed in the same subjects on the same day. PET studies were performed in 10 mild to moderate AD and 11 control subjects. Parametric images of PIB retention (over 90 min post-injection) were generated using the Logan graphical analysis with cerebellar (CER, reference region) data as input. FDG parametric images were created by summing the uptake over 40–60 min post-injection and normalizing that to the CER to give a standardized uptake value ratio. Data were compared using parametric (SPM) and non-parametric (SnPM) statistical methods with familywise error (FWE) and false discovery rate (FDR) corrections. PIB results were consistent with previous regional results as AD subjects showed highly significant retention in frontal, parietal, temporal, and posterior cingulate cortices (FDR-corrected p <1. 4e−10). FDG results showed regions of marginally significant decreases in uptake in AD subjects (frontal, parietal, temporal, posterior cingulate cortices: FDR-corrected p <0. 1) consistent with previous studies. Relative to FDG, the PIB analyses were of greater statistical significance and larger spatial extent. Additionally, the PIB analyses retained significance after both FWE and FDR corrections. These results indicate that voxel-based methods will be useful for future larger longitudinal studies of amyloid deposition that could improve AD diagnosis and anti-amyloid therapy assessment.

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v2026.09.13