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Figure 1. Multiplanar reformatted positron emission tomography image showing the location of biopsy. The volume of interest for the standardized uptake value ratio was taken from the equivalent position on the contralateral side. a indicates anterior; l, lateral.

Figure 1. Multiplanar reformatted positron emission tomography image showing the location of biopsy. The volume of interest for the standardized uptake value ratio was taken from the equivalent position on the contralateral side. a indicates anterior; l, lateral.

Figure 2. Representative NAB228-stained tissue is displayed for each of the 7 patients in this study. Above each is an axial image of the corresponding fluorine 18–labeled flutemetamol positron emission tomography scan. Scans from patients 1, 2, 4, and 5 were classified as abnormal by the independent readers, while scans from patients 3, 6, and 7 were classified as normal. These designations corresponded to ratings of the pathology. Color-scale reference represents zero to maximum activity concentration (megabecquerel per milliliter) in each image. The scale bars in the photomicrographs are 200 μm.

Figure 2. Representative NAB228-stained tissue is displayed for each of the 7 patients in this study. Above each is an axial image of the corresponding fluorine 18–labeled flutemetamol positron emission tomography scan. Scans from patients 1, 2, 4, and 5 were classified as abnormal by the independent readers, while scans from patients 3, 6, and 7 were classified as normal. These designations corresponded to ratings of the pathology. Color-scale reference represents zero to maximum activity concentration (megabecquerel per milliliter) in each image. The scale bars in the photomicrographs are 200 μm.

Figure 3. Relationship of estimated β-amyloid (Aβ) deposition in the biopsy sample (percentage of area of NAB228 monoclonal antibody) and fluorine 18–labeled flutemetamol positron emission tomography uptake in the contralateral volume of interest (VOI). SUVR indicates standardized uptake value ratio.

Figure 3. Relationship of estimated β-amyloid (Aβ) deposition in the biopsy sample (percentage of area of NAB228 monoclonal antibody) and fluorine 18–labeled flutemetamol positron emission tomography uptake in the contralateral volume of interest (VOI). SUVR indicates standardized uptake value ratio.

Table. Patient Characteristics
Table. Patient Characteristics
1.
Small GW, Kepe V, Ercoli LM,  et al.  PET of brain amyloid and tau in mild cognitive impairment.  N Engl J Med. 2006;355(25):2652-266317182990PubMedGoogle ScholarCrossref
2.
Klunk WE, Engler H, Nordberg A,  et al.  Imaging brain amyloid in Alzheimer's disease with Pittsburgh Compound-B.  Ann Neurol. 2004;55(3):306-31914991808PubMedGoogle ScholarCrossref
3.
Verhoeff NP, Wilson AA, Takeshita S,  et al.  In-vivo imaging of Alzheimer disease beta-amyloid with [11C]SB-13 PET.  Am J Geriatr Psychiatry. 2004;12(6):584-59515545326PubMedGoogle Scholar
4.
Rowe CC, Ackerman U, Browne W,  et al.  Imaging of amyloid beta in Alzheimer's disease with 18F-BAY94-9172, a novel PET tracer: proof of mechanism.  Lancet Neurol. 2008;7(2):129-13518191617PubMedGoogle ScholarCrossref
5.
Lin KJ, Hsu WC, Hsiao IT,  et al.  Whole-body biodistribution and brain PET imaging with [18F]AV-45, a novel amyloid imaging agent: a pilot study.  Nucl Med Biol. 2010;37(4):497-50820447562PubMedGoogle ScholarCrossref
6.
Wolk DA, Klunk W. Update on amyloid imaging: from healthy aging to Alzheimer's disease.  Curr Neurol Neurosci Rep. 2009;9(5):345-35219664363PubMedGoogle ScholarCrossref
7.
Rowe CC, Ng S, Ackermann U,  et al.  Imaging beta-amyloid burden in aging and dementia.  Neurology. 2007;68(20):1718-172517502554PubMedGoogle ScholarCrossref
8.
Jack CR Jr, Lowe VJ, Senjem ML,  et al.  11C PiB and structural MRI provide complementary information in imaging of Alzheimer's disease and amnestic mild cognitive impairment.  Brain. 2008;131(pt 3):665-68018263627PubMedGoogle ScholarCrossref
9.
Edison P, Archer HA, Hinz R,  et al.  Amyloid, hypometabolism, and cognition in Alzheimer disease: an [11C]PIB and [18F]FDG PET study.  Neurology. 2007;68(7):501-50817065593PubMedGoogle ScholarCrossref
10.
Wolk DA, Price JC, Saxton JA,  et al.  Amyloid imaging in mild cognitive impairment subtypes [published correction appears in Ann Neurol. 2009;66(1):123].  Ann Neurol. 2009;65(5):557-56819475670PubMedGoogle ScholarCrossref
11.
Rowe CC, Ellis KA, Rimajova M,  et al.  Amyloid imaging results from the Australian Imaging, Biomarkers and Lifestyle (AIBL) study of aging.  Neurobiol Aging. 2010;31(8):1275-128320472326PubMedGoogle ScholarCrossref
12.
Forsberg A, Engler H, Almkvist O,  et al.  PET imaging of amyloid deposition in patients with mild cognitive impairment.  Neurobiol Aging. 2008;29(10):1456-146517499392PubMedGoogle ScholarCrossref
13.
Koivunen J, Pirttilä T, Kemppainen N,  et al.  PET amyloid ligand [11C]PIB uptake and cerebrospinal fluid beta-amyloid in mild cognitive impairment.  Dement Geriatr Cogn Disord. 2008;26(4):378-38318931497PubMedGoogle ScholarCrossref
14.
Burack MA, Hartlein J, Flores HP, Taylor-Reinwald L, Perlmutter JS, Cairns NJ. In vivo amyloid imaging in autopsy-confirmed Parkinson disease with dementia.  Neurology. 2010;74(1):77-8420038776PubMedGoogle ScholarCrossref
15.
Bacskai BJ, Frosch MP, Freeman SH,  et al.  Molecular imaging with Pittsburgh Compound B confirmed at autopsy: a case report.  Arch Neurol. 2007;64(3):431-43417353389PubMedGoogle ScholarCrossref
16.
Ikonomovic MD, Klunk WE, Abrahamson EE,  et al.  Post-mortem correlates of in vivo PiB-PET amyloid imaging in a typical case of Alzheimer's disease.  Brain. 2008;131(pt 6):1630-164518339640PubMedGoogle ScholarCrossref
17.
Leinonen V, Alafuzoff I, Aalto S,  et al.  Assessment of beta-amyloid in a frontal cortical brain biopsy specimen and by positron emission tomography with carbon 11-labeled Pittsburgh Compound B.  Arch Neurol. 2008;65(10):1304-130918695050PubMedGoogle ScholarCrossref
18.
Fagan AM, Mintun MA, Mach RH,  et al.  Inverse relation between in vivo amyloid imaging load and cerebrospinal fluid Abeta42 in humans.  Ann Neurol. 2006;59(3):512-51916372280PubMedGoogle ScholarCrossref
19.
Clark CM, Schneider JA, Bedell BJ,  et al; AV45-A07 Study Group.  Use of florbetapir-PET for imaging beta-amyloid pathology [published correction appears in JAMA. 2011;305(11):1096].  JAMA. 2011;305(3):275-28321245183PubMedGoogle ScholarCrossref
20.
Vandenberghe R, Van Laere K, Ivanoiu A,  et al.  18F-flutemetamol amyloid imaging in Alzheimer disease and mild cognitive impairment: a phase 2 trial.  Ann Neurol. 2010;68(3):319-32920687209PubMedGoogle ScholarCrossref
21.
Golomb J, Wisoff J, Miller DC,  et al.  Alzheimer's disease comorbidity in normal pressure hydrocephalus: prevalence and shunt response.  J Neurol Neurosurg Psychiatry. 2000;68(6):778-78110811706PubMedGoogle ScholarCrossref
22.
Holm A, Savolainen S, Alafuzoff I. Brain biopsy prior to treatment of Alzheimer's disease.  Minim Invasive Neurosurg. 2003;46(3):161-16412872193PubMedGoogle ScholarCrossref
23.
Hamilton R, Patel S, Lee EB,  et al.  Lack of shunt response in suspected idiopathic normal pressure hydrocephalus with Alzheimer disease pathology.  Ann Neurol. 2010;68(4):535-54020687117PubMedGoogle ScholarCrossref
24.
Das SR, Mechanic-Hamilton D, Korczykowski M,  et al.  Structure specific analysis of the hippocampus in temporal lobe epilepsy.  Hippocampus. 2009;19(6):517-52519437496PubMedGoogle ScholarCrossref
25.
Arnold SE, Han LY, Clark CM, Grossman M, Trojanowski JQ. Quantitative neurohistological features of frontotemporal degeneration.  Neurobiol Aging. 2000;21(6):913-91911124442PubMedGoogle ScholarCrossref
26.
Lee EB, Skovronsky DM, Abtahian F, Doms RW, Lee VM. Secretion and intracellular generation of truncated Abeta in beta-site amyloid-beta precursor protein-cleaving enzyme expressing human neurons.  J Biol Chem. 2003;278(7):4458-446612480937PubMedGoogle ScholarCrossref
27.
Spillantini MG, Goedert M, Jakes R, Klug A. Different configurational states of beta-amyloid and their distributions relative to plaques and tangles in Alzheimer disease.  Proc Natl Acad Sci U S A. 1990;87(10):3947-39512111023PubMedGoogle ScholarCrossref
28.
Bennett DA, Schneider JA, Wilson RS, Bienias JL, Arnold SE. Neurofibrillary tangles mediate the association of amyloid load with clinical Alzheimer disease and level of cognitive function.  Arch Neurol. 2004;61(3):378-38415023815PubMedGoogle ScholarCrossref
29.
Soetanto A, Wilson RS, Talbot K,  et al.  Association of anxiety and depression with microtubule-associated protein 2- and synaptopodin-immunolabeled dendrite and spine densities in hippocampal CA3 of older humans.  Arch Gen Psychiatry. 2010;67(5):448-45720439826PubMedGoogle ScholarCrossref
30.
Mugler JP III, Brookeman JR. Three-dimensional magnetization-prepared rapid gradient-echo imaging (3D MP RAGE).  Magn Reson Med. 1990;15(1):152-1572374495PubMedGoogle ScholarCrossref
31.
Raji CA, Becker JT, Tsopelas ND,  et al.  Characterizing regional correlation, laterality and symmetry of amyloid deposition in mild cognitive impairment and Alzheimer's disease with Pittsburgh Compound B.  J Neurosci Methods. 2008;172(2):277-28218582948PubMedGoogle ScholarCrossref
32.
Villemagne VL, McLean CA, Reardon K,  et al.  11C-PiB PET studies in typical sporadic Creutzfeldt-Jakob disease.  J Neurol Neurosurg Psychiatry. 2009;80(9):998-100119332421PubMedGoogle ScholarCrossref
33.
Cairns NJ, Ikonomovic MD, Benzinger T,  et al.  Absence of Pittsburgh compound B detection of cerebral amyloid beta in a patient with clinical, cognitive, and cerebrospinal fluid markers of Alzheimer disease: a case report.  Arch Neurol. 2009;66(12):1557-156220008664PubMedGoogle ScholarCrossref
34.
Klunk WE. Biopsy support for the validity of Pittsburgh compound B positron emission tomography with a twist.  Arch Neurol. 2008;65(10):1281-128318852340PubMedGoogle ScholarCrossref
35.
Jack CR Jr, Lowe VJ, Weigand SD,  et al; Alzheimer's Disease Neuroimaging Initiative.  Serial PIB and MRI in normal, mild cognitive impairment and Alzheimer's disease: implications for sequence of pathological events in Alzheimer's disease.  Brain. 2009;132(pt 5):1355-136519339253PubMedGoogle ScholarCrossref
36.
Engler H, Forsberg A, Almkvist O,  et al.  Two-year follow-up of amyloid deposition in patients with Alzheimer's disease.  Brain. 2006;129(pt 11):2856-286616854944PubMedGoogle ScholarCrossref
37.
Klunk WE, Mathis CA, Price JC, Lopresti BJ, DeKosky ST. Two-year follow-up of amyloid deposition in patients with Alzheimer's disease.  Brain. 2006;129(pt 11):2805-280717071918PubMedGoogle ScholarCrossref
38.
Jack CR Jr, Knopman DS, Jagust WJ,  et al.  Hypothetical model of dynamic biomarkers of the Alzheimer's pathological cascade.  Lancet Neurol. 2010;9(1):119-12820083042PubMedGoogle ScholarCrossref
39.
Storandt M, Mintun MA, Head D, Morris JC. Cognitive decline and brain volume loss as signatures of cerebral amyloid-beta peptide deposition identified with Pittsburgh compound B: cognitive decline associated with Abeta deposition.  Arch Neurol. 2009;66(12):1476-148120008651PubMedGoogle ScholarCrossref
40.
Rinne JO, Brooks DJ, Rossor MN,  et al.  11C-PiB PET assessment of change in fibrillar amyloid-beta load in patients with Alzheimer's disease treated with bapineuzumab: a phase 2, double-blind, placebo-controlled, ascending-dose study.  Lancet Neurol. 2010;9(4):363-37220189881PubMedGoogle ScholarCrossref
Original Contributions
Nov 2011

Association Between In Vivo Fluorine 18–Labeled Flutemetamol Amyloid Positron Emission Tomography Imaging and In Vivo Cerebral Cortical Histopathology

Author Affiliations

Author Affiliations: Penn Memory Center (Drs Wolk, Hamilton, and Arnold), Departments of Neurology (Drs Wolk and Hamilton), Psychiatry (Drs Kazi and Arnold), Neurosurgery (Dr Grady), and Pathology (Dr Trojanowski), Institute on Aging (Dr Trojanowski), and Center for Neurodegenerative Disease Research (Dr Trojanowski), University of Pennsylvania, Philadelphia; Clinical Development, Medical Diagnostics, GE Healthcare, Princeton, New Jersey (Drs Grachev and Sherwin); Imaging Technology, Medical Diagnostics, GE Healthcare, Amersham, England (Dr Buckley); and FP Statistical Consulting, LLC, Livonia, Michigan (Mr McLain).

Arch Neurol. 2011;68(11):1398-1403. doi:10.1001/archneurol.2011.153
Abstract

Objective To determine the correspondence of in vivo quantitative estimates of brain uptake of fluorine 18–labeled flutemetamol with immunohistochemical estimates of amyloid levels in patients who underwent previous biopsy.

Design Cross-sectional study of 18F-flutemetamol positron emission tomography (PET) findings in patients with prior cortical biopsy specimen stained for the presence or absence of amyloid plaques.

Setting University hospital.

Patients Seven patients who previously had a prior right frontal cortical biopsy at the site of ventriculoperitoneal placement for presumed normal pressure hydrocephalus were recruited. Inclusion criteria included an adequate biopsy specimen for detection and quantification of β-amyloid pathology and age older than 50 years.

Intervention All patients underwent an 18F-flutemetamol PET scan.

Main Outcome Measures Quantitative measures of 18F-flutemetamol uptake (standardized uptake value ratio, a ratio of mean target cortex activity divided by that in a cerebellar reference region) were made at a location contralateral to the biopsy site and compared with estimates of amyloid load based on immunohistochemical and histological staining.

Results There was complete agreement between visual reads of 18F-flutemetamol PET scans (3 blinded readers with majority rule) and histology. A regression model, including time from biopsy as a covariate, demonstrated a significant relationship (P = .01) between 18F-flutemetamol uptake and percentage of area of amyloid measured by a monoclonal antibody raised against amyloid (NAB228). Similar results were found with the amyloid-specific monoclonal antibody 4G8 and Thioflavin S.

Conclusion To our knowledge, these data are the first to demonstrate the concordance of 18F-flutemetamol PET imaging with histopathology, supporting its sensitivity to detect amyloid and potential use in the study and detection of Alzheimer disease.

The development of molecular imaging techniques to visualize the pathology of Alzheimer disease (AD) in vivo represents a major achievement for the diagnosis and study of neurodegenerative conditions. Quiz Ref IDIn addition to a potential role in early and accurate diagnosis in clinicalpractice, molecular imaging is likely to play a critical role in drug development through cohort enrichment by increasing diagnostic confidence, clarification of drug mechanism and dosage, and assessment of biological effect. Over the last decade, several positron emission tomography (PET) radioligands have displayed affinity for fibrillar β-amyloid (Aβ) aggregates,1-5 one of the hallmark pathologic lesions of AD.

To date, carbon 11–labeled Pittsburgh Compound B (11C-PiB) (2-[4-methylamino phenyl]-1, 3-benzothiazol-6-ol) is the most well studied of these PET amyloid imaging ligands.6 Pittsburgh Compound B is a neutral analog of Thioflavin T, an established histological stain for detecting Aβ. 11C-Pittsburgh Compound B has demonstrated success in discriminating patients with probable AD from healthy controls and predicting the likelihood of clinical progression in those with mild cognitive impairment to frank AD.2,7-13 Additionally, 11C-PiB uptake inversely correlates with levels of Aβ42 in the cerebrospinal fluid and Aβ aggregates in a limited number of postmortem and biopsy studies.14-18Quiz Ref IDDespite the considerable promise of 11C-PiB, its potential for widespread use is severely limited by the short half-life of 11C (about 20 minutes), which requires on-site cyclotron production.

The radionuclide fluorine 18 has a longer half-life (about 110 minutes), allowing for shipment to scanning sites after production, and has been successfully used in other PET tracers (eg, fluorodeoxyglucose). Several 18F-based amyloid PET imaging ligands with divergent structural properties from 11C-PiB are at various stages of development,1,4,5 including recent work demonstrating a high concordance between 18F-florbetapir and postmortem histology.19 Alternatively, the novel ligand 18F-flutemetamol only differs from 11C-PiB with regard to the radionuclide. Recent work has suggested that 18F-flutemetamol demonstrates similar imaging findings in patients with probable AD and mild cognitive impairment relative to healthy controls and has a high correlation with 11C-PiB when tested in the same patients.20 However, histopathological confirmation of the in vivo findings of this compound are lacking.

Normal pressure hydrocephalus (NPH) is a progressive condition associated with a classic triad of dementia, gait abnormalities, and urinary incontinence. Despite its apparent distinctiveness, this condition can be difficult to diagnose and the presence of AD pathology may alter response to ventricular shunting. Prior work has suggested that a significant proportion of patients with a presentation consistent with NPH demonstrate AD pathological lesions on biopsy specimen.21,22 Indeed, in a prior series, we found that approximately 68% of patients with NPH had evidence of AD pathology in a small cortical biopsy specimen obtained at the site of ventriculoperitoneal shunt placement23 and that higher levels of AD pathology were associated with poorer response to the surgery. Thus, amyloid imaging may be of diagnostic and prognostic value in such patients. In the current study, we leveraged pathologic data available from these patients with NPH who underwent previous biopsy to assess concordance with in vivo 18F-flutemetamol PET imaging.

Methods
Participants

Patients were recruited from the Penn Memory Center who had undergone ventriculoperitoneal shunting with concomitant biopsy. The majority participated in a previously reported longitudinal study of the impact of AD pathology on clinical response to shunting.23 In addition to a biopsy that was adequate for detection and quantification of Aβ pathology, inclusion criteria included age older than 50 years and general health appropriate for the study procedures. Patients were excluded if they had a contraindication to PET or magnetic resonance imaging, were pregnant or lactating, or had a known or suspected hypersensitivity or allergy to 18F-flutemetamol or any of the excipients. Of 59 patients in our database with biopsy tissue available, 19 were ineligible (mostly owing to death). Seven patients agreed (33 declined) to enter the study and underwent PET scans obtained approximately 3 to 45 months after biopsy. The study was approved by the institutional review board at the University of Pennsylvania. All patients and their designated representatives signed informed consent prior to participation.

Tissue analysis

An approximately 0.5-cm3 piece of cortical tissue had been biopsied at the site of shunt entry in the right prefrontal cortex. Tissue was immersion fixed in neutral buffered formalin overnight, followed by paraffin embedding, sectioning, and staining with hematoxylin-eosin for standard neuropathological examination and immunohistochemistry for neurodegenerative disease pathology. For this study, 6-μm-thick sections were cut from paraffin blocks and processed for immunohistochemical labeling, as previously described,24,25 for Aβ plaques with NAB228, a monoclonal antibody raised against Aβ1-11 synthetic peptide,26 and 4G8, reactive to residues 17-24.27 Adjacent sections were also histochemically stained with Thioflavin S.

All biopsy section slides were visually inspected for the microscopic presence or absence of Aβ plaques with the investigator (S.E.A.) masked to case identity. For sections in which Aβ plaques were present, the amount of Aβ plaque deposition was determined using semiautomated computer-assisted microscopic image acquisition and image analysis with methods adapted from those previously described.28,29 Briefly, high-resolution, gray-scale photomontages of whole biopsy sections were acquired at ×100 original magnification via a Leica DMRB light microscope (Leica Microsystems, Buffalo Grove, Illinois) equipped with a Ludl MAC 2000 motorized stage (Ludl Electronic Products Ltd, Hawthorne, New York) and Retiga Exi/QEi digital camera (QImaging, Surrey, British Columbia, Canada) driven by Image-Pro Plus software (Media Cybernetics Inc, Silver Springs, Maryland). Photomontages of the entire section were acquired, and all gray matter was circumscribed manually as the region of interest. To measure the abundance of Aβ plaque deposits, we applied histogram-based optical density thresholding to delineate those tissue elements exceeding background levels of immunoreactivity by more than 3 SDs above background, as well as a size and pixel contiguity threshold filter to delineate plaquelike profiles. The software calculated the total area of the plaques and expressed this as a percentage of the area of the entire selected region of interest.

Magnetic resonance imaging and pet image acquisition

All patients underwent a magnetic resonance imaging scan on a 3T Siemens Trio whole-body scanner (Siemens, Erlangen, Germany) equipped with a product 8-channel array coil within 35 days of PET scanning. High-resolution structural images were acquired with a 3-dimensional magnetization-prepared rapid gradient-echo30 sequence at 1-mm3 isotropic resolution.

18F-flutemetamol injection was prepared and handled according to good manufacturing practice at a PET manufacturing site and then transported to the University of Pennsylvania. Before administration, the suitability of each preparation was assessed by a number of quality control tests including radioactivity content and chemical purity by high-performance liquid chromatography. The radiopharmacist at the PET imaging site ensured that the correct activity was present in the injection syringe and that the product was used within the validity period. Subjects received 18F-flutemetamol injection under the direct supervision of study personnel. Each subject received an intravenous dose of 18F-flutemetamol injection (<10 μg of total 18F-flutemetamol). The activity of a single administration of 18F-flutemetamol injection was approximately 185 MBq (range, 111 MBq-197 MBq).

Dynamic brain scanning was performed on an Allegro whole-body PET scanner (Philips, Andover, Massachusetts). The duration of the PET imaging was 30 minutes beginning approximately 90 minutes after the administration of 18F-flutemetamol injection. Dynamic PET scans of the whole brain were obtained in a single field of view. The dynamic PET data consisted of six 5-minute frames.

18f-flutemetamol pet visual image analysis

Blinded visual reads were performed by 3 trained raters, 2 nuclear physicians and a senior medical physicist, with experience reading amyloid scans to determine an abnormal or normal scan for increased 18F-flutemetamol uptake. Readers worked independently and visually assessed the level of 18F-flutemetamol uptake in cortical regions with reference to the level of uptake in the cerebellum. The review method was to locate a sagittal view plane along the longitudinal fissure and move a few millimeters from the center until the view plane encountered the medial gyri and sulci. Having completed one hemisphere, the opposite hemisphere was surveyed in the same manner. An axial review was then carried out working in the dorsal to ventral direction.

If readers found elevated cortical uptake in at least 1 region, with emphasis on frontal/anterior cinguli, posterior cinguli/precuneus, and lateral temporal regions, the image would be rated as abnormal. Otherwise the image was rated as normal. In cases of disagreement, assignment was based on the majority verdict.

18f-flutemetamol pet quantitative image analysis

From the dynamic PET data, a 30-minute summed PET image was derived. The reconstruction method was a 3-dimensional row-action maximum likelihood algorithm, giving an approximate spatial resolution of 6 mm. The blinded visual assessment was based on the summed images in native space. For quantitative analysis, this summed PET image was coregistered with the subject's magnetic resonance imaging to define volumes of interest (VOIs). Two types of target VOIs were determined in the following manner: (1) a hollow VOI surrounding the excised tissue area (representing the most adjacent sampling achievable) and (2) a VOI sampling the same anatomical region on the contralateral side. Use of a contralateral site is based on prior work demonstrating only small differences in PiB uptake for symmetrically placed VOIs in the left and right frontal cortices.31Figure 1 shows the location of the biopsy in a 18F-flutemetamol multiplanar reconstruction view. A composite VOI was also calculated as the mean of several anatomic regions typically associated with significant amyloid plaque burden in AD (ie, frontal cortex, anterior cingulate gyrus, posterior cingulate gyrus/precuneus, lateral-temporal cortex, and parietal cortex), as previously described.20

Standardized uptake value ratios (SUVRs), defined as SUVVOI/SUVREF with SUV being the integrated activity over a given period per unit of injected dose and body weight, were calculated for the VOIs. The reference region used for this study was the cerebellar cortex. The pons was also used as a reference region to explore if the SUVR vs the percentage of area comparisons would show a higher degree of correlation. No significant improvement was observed and, as a result, these data were not included.

Statistical analysis

To determine the relationship between 18F-flutemetamol uptake and amyloid plaque burden on biopsy, both dichotomous (presence or absence) and continuous variable statistics were used. A qualitative read of scans classified them as abnormal or normal and the microscopic inspection of tissue sections classified them as normal (no Aβ plaques) or abnormal (Aβ plaques present). For continuous variable analyses, regression models included percentage of area of Aβ plaque as the dependent variable while the PET SUVR measure for the VOI was the independent variable. A covariate for the interval from biopsy to PET scan was included. All statistics were performed with SAS version 9.2 (IBM SAS, Chicago, Illinois) and were prespecified in the study protocol statistical analysis plan.

Results

Demographic data are presented in the Table. Four patients displayed evidence of amyloid plaque pathology based on NAB228 and 4G8 immunohistochemical and Thioflavin S histological staining (Figure 2). Corresponding 18F-flutemetamol PET scans are also displayed.

There was high concordance for the visual reads across the 3 raters, with disagreement on only 1 scan (this scan was rated as abnormal by 2 of the 3 raters). By majority verdict, 4 of 7 scans were considered abnormal. In each of these cases, the biopsy tissue contained amyloid plaque pathology. The 3 normal 18F-flutemetamol scans were all in patients without evidence of Aβ plaque pathology.

The regression model for NAB228 was statistically significant (F = 10.1; P < .05; R2 = 0.83; β = 0.63; 95% confidence interval, 0.24-1.02), and there was no apparent modulating influence of the interval from biopsy to the PET scan (P > .21). The relationship between these measures can be seen in Figure 3. Similar results were obtained when percentage of area estimates of Aβ were determined with 4G8 (model: F = 10.0; P < .05; R2 = 0.83; β = 2.00; 95% confidence interval, 0.76-3.24) and Thioflavin S (model: F = 15.6; P < .05; R2 = 0.89; β = 0.56; 95% confidence interval, 0.28-0.84). Ipsilateral VOI SUVRs produced similar findings for 4G8 and Thioflavin S (both P < .05), although the regression model with percentage of area of NAB228 staining did not reach significance (P = .08). The composite VOI also produced similar results and is not presented herein for brevity.

Single doses of 18F-flutemetamol were well tolerated. Five subjects (71.4%) experienced a total of 8 adverse events. The majority of the adverse events reported were mild in intensity. Six (in 4 subjects) were considered to be possibly related or related to 18F-flutemetamol injection. The most frequently reported adverse event was increased blood pressure (5 subjects [71.4%] with 5 adverse events). The remaining 3 adverse events (dizziness, blood glucose level decreased, and flushing) all occurred in 1 subject. The mild to moderate increases of blood pressure observed in 3 subjects resolved without treatment and were considered related to the administration of 18F-flutemetamol injection. No deaths, serious adverse events, or withdrawals due to adverse events occurred during the study. No clinically significant abnormalities were noted in clinical laboratory results. There were no clinically significant changes in electrocardiograph results.

Comment

Quiz Ref IDTo our knowledge, the present data represent the first study to compare the novel in vivo amyloid imaging ligand 18F-flutemetamol with in vivo histopathological evidence of AD-related amyloid pathology. Despite variability in the delay from biopsy to PET scanning, there was a remarkable correspondence of 18F-flutemetamol uptake and quantitative measures of amyloid pathology based on immunohistochemical and histological estimates. Additionally, masked visual assessments of these scans were consonant with the histopathology results. These findings are supportive of the potential role of 18F-flutemetamol PET imaging in the detection of fibrillar Aβ plaques. As with 11C-PiB, binding is expected to be more prominent to neuritic than diffuse plaques.16

The current results are consistent with the still relatively limited, but accruing, histopathological data for 11C-PiB PET imaging.14-17,32,33 For example, Ikonomovic and colleagues16 reported regional correlations between in vivo 11C-PiB uptake and quantitative measures of Aβ pathology in a patient who had autopsy performed 10 months after PET imaging. Of most direct relevance to this report is a study in which right frontal cortical biopsy specimens were obtained in 10 patients being evaluated for suspected NPH with intracranial pressure monitoring.17 Patients underwent 11C-PiB scanning 2 to 36 months after biopsy. Overall, there was a reasonably high correlation of 11C-PiB binding in the right frontal cortex and the number of Aβ aggregates on biopsy specimen. Of the 5 cases without clear evidence of fibrillar amyloid pathology, none displayed elevated 11C-PiB uptake. Alternatively, 4 of 5 cases with evidence of Aβ pathology had a clearly abnormal 11C-PiB scan, but there was 1 false-negative result. An additional false-negative 11C-PiB result was recently reported in a patient whose scan was performed 2½ years prior to autopsy.33 The explanation for these normal scans in the context of Aβ pathology remains unclear, but one potential explanation is that conformational variants of the secondary or tertiary structure of Aβ may influence PiB binding. Prolonged timing between imaging and autopsy may also contribute because of possible disease progression.34 To date, there have been no reports of false-positive 11C-PiB results based on histopathology.

Similar to this work with 11C-PiB, 18F-flutemetamol uptake also showed a strong association with quantitative measures of amyloid burden. This was the case for both a region surrounding the right frontal biopsy site and an analogous VOI in the contralateral hemisphere, consistent with the view that there generally is little asymmetry in amyloid pathology.31 These correlations are perhaps somewhat surprising given the substantial delay in the time from biopsy to the PET scan in several cases. However, this result is commensurate with the relatively slow change in amyloid levels that has been observed in prior 11C-PiB PET longitudinal studies.35-37 Possibly of greatest relevance to potential clinical applicability of 18F-flutemetamol PET scans was the accuracy of clinical reads relative to the presence or absence of Aβ pathology on the biopsy specimens. Such dichotomous visual reads are likely the strategy that will be used in clinical practice, as with other imaging modalities.

Single doses of 18F-flutemetamol were well tolerated in subjects with NPH. The mechanism and possible explanation of mild to moderate increases of blood pressure observed in 3 subjects, which resolved without treatment, is unknown and may be related to the patient reaction to study procedures (eg, intravenous catheter placement, blood draws).

The current study has a number of limitations. Sample size was modest. The small cortical biopsy specimen could have led to sampling error with presence of AD pathology in other brain regions despite an unremarkable biopsy result. Additionally, the delay between the time from biopsy to PET scanning may have been associated with some patients developing AD pathology during that interval. The latter 2 issues would seemingly have resulted in false-positive scans relative to the biopsy findings, which would have presented interpretative difficulties. Nonetheless, there were no instances of such a result. As noted earlier, the lag between scan and biopsy also may have reduced the association between quantitative 18F-flutemetamol uptake and biopsy-determined amyloid load, particularly given differences in this delay across subjects and the potential for different rates of accumulation.

Quiz Ref IDThese findings provide support for the use of 18F-flutemetamol PET in the detection of AD-related amyloid pathology. As has been suggested by work with 11C-PiB PET, this information may play an important prognostic role in patients with mild cognitive impairment and, perhaps, in preclinical populations.10,38,39 With the potential emergence of disease-specific interventions for AD, biomarkers that provide molecular specificity will likely become of greater importance in the differential diagnosis of cognitive impairment in older adults. Furthermore, amyloid imaging may serve an important role in the development of such interventions by allowing for assessment of biological effect.40Quiz Ref IDFinally, amyloid imaging agents such as 18F-flutemetamol may be of particular relevance to the NPH population studied herein given evidence that the presence of AD pathology in patients with suspected NPH may be associated with a poorer outcome after ventricular shunt placement, which may impact decisions on treatment.23 For example, an abnormal scan may lead to a clinical decision to avoid the expense and potential medical complications associated with shunt placement in a patient unlikely to obtain a significant benefit from the procedure. All of these potential roles for amyloid imaging agents will be greatly facilitated by the increased availability of 18F PET radioligands.

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Article Information

Correspondence: David A. Wolk, MD, Penn Memory Center, 3615 Chestnut St, Philadelphia, PA 19104 (david.wolk@uphs.upenn.edu).

Accepted for Publication: April 28, 2011.

Published Online: July 11, 2011. doi:10.1001/archneurol.2011.153

Author Contributions:Study concept and design: Wolk, Grachev, Trojanowski, Sherwin, and McLain. Acquisition of data: Wolk, Buckley, Kazi, Grady, Trojanowski, and Hamilton. Analysis and interpretation of data: Wolk, Grachev, Buckley, Trojanowski, McLain, and Arnold. Drafting of the manuscript: Wolk, Grachev, Trojanowski, and McLain. Critical revision of the manuscript for important intellectual content: Wolk, Grachev, Buckley, Kazi, Grady, Trojanowski, Hamilton, Sherwin, McLain, and Arnold. Statistical analysis: Grachev, Trojanowski, and McLain. Obtained funding: Wolk and Trojanowski. Administrative, technical, and material support: Buckley, Kazi, Grady, Trojanowski, Hamilton, Sherwin, and Arnold. Study supervision: Grachev, Trojanowski, and Arnold.

Financial Disclosure: The study was entirely sponsored by GE Healthcare. Dr Wolk has received consulting fees from GE Healthcare. Drs Grachev, Buckley, and Sherwin are employees of GE Healthcare. Mr McLain is a contractor for GE Healthcare.

Additional Contributions: We acknowledge the staff of i3 Statprobe for biometric services, programming, and statistical analyses. We thank GE Healthcare study team members for operational support (Kim Mansfield, MS), project management (Gill Farrar, PhD), data management (Ginger Lewis, MBA), and medical writing assistance with the study report (Ann Tate, MS, and Chris Devine, BSc).

References
1.
Small GW, Kepe V, Ercoli LM,  et al.  PET of brain amyloid and tau in mild cognitive impairment.  N Engl J Med. 2006;355(25):2652-266317182990PubMedGoogle ScholarCrossref
2.
Klunk WE, Engler H, Nordberg A,  et al.  Imaging brain amyloid in Alzheimer's disease with Pittsburgh Compound-B.  Ann Neurol. 2004;55(3):306-31914991808PubMedGoogle ScholarCrossref
3.
Verhoeff NP, Wilson AA, Takeshita S,  et al.  In-vivo imaging of Alzheimer disease beta-amyloid with [11C]SB-13 PET.  Am J Geriatr Psychiatry. 2004;12(6):584-59515545326PubMedGoogle Scholar
4.
Rowe CC, Ackerman U, Browne W,  et al.  Imaging of amyloid beta in Alzheimer's disease with 18F-BAY94-9172, a novel PET tracer: proof of mechanism.  Lancet Neurol. 2008;7(2):129-13518191617PubMedGoogle ScholarCrossref
5.
Lin KJ, Hsu WC, Hsiao IT,  et al.  Whole-body biodistribution and brain PET imaging with [18F]AV-45, a novel amyloid imaging agent: a pilot study.  Nucl Med Biol. 2010;37(4):497-50820447562PubMedGoogle ScholarCrossref
6.
Wolk DA, Klunk W. Update on amyloid imaging: from healthy aging to Alzheimer's disease.  Curr Neurol Neurosci Rep. 2009;9(5):345-35219664363PubMedGoogle ScholarCrossref
7.
Rowe CC, Ng S, Ackermann U,  et al.  Imaging beta-amyloid burden in aging and dementia.  Neurology. 2007;68(20):1718-172517502554PubMedGoogle ScholarCrossref
8.
Jack CR Jr, Lowe VJ, Senjem ML,  et al.  11C PiB and structural MRI provide complementary information in imaging of Alzheimer's disease and amnestic mild cognitive impairment.  Brain. 2008;131(pt 3):665-68018263627PubMedGoogle ScholarCrossref
9.
Edison P, Archer HA, Hinz R,  et al.  Amyloid, hypometabolism, and cognition in Alzheimer disease: an [11C]PIB and [18F]FDG PET study.  Neurology. 2007;68(7):501-50817065593PubMedGoogle ScholarCrossref
10.
Wolk DA, Price JC, Saxton JA,  et al.  Amyloid imaging in mild cognitive impairment subtypes [published correction appears in Ann Neurol. 2009;66(1):123].  Ann Neurol. 2009;65(5):557-56819475670PubMedGoogle ScholarCrossref
11.
Rowe CC, Ellis KA, Rimajova M,  et al.  Amyloid imaging results from the Australian Imaging, Biomarkers and Lifestyle (AIBL) study of aging.  Neurobiol Aging. 2010;31(8):1275-128320472326PubMedGoogle ScholarCrossref
12.
Forsberg A, Engler H, Almkvist O,  et al.  PET imaging of amyloid deposition in patients with mild cognitive impairment.  Neurobiol Aging. 2008;29(10):1456-146517499392PubMedGoogle ScholarCrossref
13.
Koivunen J, Pirttilä T, Kemppainen N,  et al.  PET amyloid ligand [11C]PIB uptake and cerebrospinal fluid beta-amyloid in mild cognitive impairment.  Dement Geriatr Cogn Disord. 2008;26(4):378-38318931497PubMedGoogle ScholarCrossref
14.
Burack MA, Hartlein J, Flores HP, Taylor-Reinwald L, Perlmutter JS, Cairns NJ. In vivo amyloid imaging in autopsy-confirmed Parkinson disease with dementia.  Neurology. 2010;74(1):77-8420038776PubMedGoogle ScholarCrossref
15.
Bacskai BJ, Frosch MP, Freeman SH,  et al.  Molecular imaging with Pittsburgh Compound B confirmed at autopsy: a case report.  Arch Neurol. 2007;64(3):431-43417353389PubMedGoogle ScholarCrossref
16.
Ikonomovic MD, Klunk WE, Abrahamson EE,  et al.  Post-mortem correlates of in vivo PiB-PET amyloid imaging in a typical case of Alzheimer's disease.  Brain. 2008;131(pt 6):1630-164518339640PubMedGoogle ScholarCrossref
17.
Leinonen V, Alafuzoff I, Aalto S,  et al.  Assessment of beta-amyloid in a frontal cortical brain biopsy specimen and by positron emission tomography with carbon 11-labeled Pittsburgh Compound B.  Arch Neurol. 2008;65(10):1304-130918695050PubMedGoogle ScholarCrossref
18.
Fagan AM, Mintun MA, Mach RH,  et al.  Inverse relation between in vivo amyloid imaging load and cerebrospinal fluid Abeta42 in humans.  Ann Neurol. 2006;59(3):512-51916372280PubMedGoogle ScholarCrossref
19.
Clark CM, Schneider JA, Bedell BJ,  et al; AV45-A07 Study Group.  Use of florbetapir-PET for imaging beta-amyloid pathology [published correction appears in JAMA. 2011;305(11):1096].  JAMA. 2011;305(3):275-28321245183PubMedGoogle ScholarCrossref
20.
Vandenberghe R, Van Laere K, Ivanoiu A,  et al.  18F-flutemetamol amyloid imaging in Alzheimer disease and mild cognitive impairment: a phase 2 trial.  Ann Neurol. 2010;68(3):319-32920687209PubMedGoogle ScholarCrossref
21.
Golomb J, Wisoff J, Miller DC,  et al.  Alzheimer's disease comorbidity in normal pressure hydrocephalus: prevalence and shunt response.  J Neurol Neurosurg Psychiatry. 2000;68(6):778-78110811706PubMedGoogle ScholarCrossref
22.
Holm A, Savolainen S, Alafuzoff I. Brain biopsy prior to treatment of Alzheimer's disease.  Minim Invasive Neurosurg. 2003;46(3):161-16412872193PubMedGoogle ScholarCrossref
23.
Hamilton R, Patel S, Lee EB,  et al.  Lack of shunt response in suspected idiopathic normal pressure hydrocephalus with Alzheimer disease pathology.  Ann Neurol. 2010;68(4):535-54020687117PubMedGoogle ScholarCrossref
24.
Das SR, Mechanic-Hamilton D, Korczykowski M,  et al.  Structure specific analysis of the hippocampus in temporal lobe epilepsy.  Hippocampus. 2009;19(6):517-52519437496PubMedGoogle ScholarCrossref
25.
Arnold SE, Han LY, Clark CM, Grossman M, Trojanowski JQ. Quantitative neurohistological features of frontotemporal degeneration.  Neurobiol Aging. 2000;21(6):913-91911124442PubMedGoogle ScholarCrossref
26.
Lee EB, Skovronsky DM, Abtahian F, Doms RW, Lee VM. Secretion and intracellular generation of truncated Abeta in beta-site amyloid-beta precursor protein-cleaving enzyme expressing human neurons.  J Biol Chem. 2003;278(7):4458-446612480937PubMedGoogle ScholarCrossref
27.
Spillantini MG, Goedert M, Jakes R, Klug A. Different configurational states of beta-amyloid and their distributions relative to plaques and tangles in Alzheimer disease.  Proc Natl Acad Sci U S A. 1990;87(10):3947-39512111023PubMedGoogle ScholarCrossref
28.
Bennett DA, Schneider JA, Wilson RS, Bienias JL, Arnold SE. Neurofibrillary tangles mediate the association of amyloid load with clinical Alzheimer disease and level of cognitive function.  Arch Neurol. 2004;61(3):378-38415023815PubMedGoogle ScholarCrossref
29.
Soetanto A, Wilson RS, Talbot K,  et al.  Association of anxiety and depression with microtubule-associated protein 2- and synaptopodin-immunolabeled dendrite and spine densities in hippocampal CA3 of older humans.  Arch Gen Psychiatry. 2010;67(5):448-45720439826PubMedGoogle ScholarCrossref
30.
Mugler JP III, Brookeman JR. Three-dimensional magnetization-prepared rapid gradient-echo imaging (3D MP RAGE).  Magn Reson Med. 1990;15(1):152-1572374495PubMedGoogle ScholarCrossref
31.
Raji CA, Becker JT, Tsopelas ND,  et al.  Characterizing regional correlation, laterality and symmetry of amyloid deposition in mild cognitive impairment and Alzheimer's disease with Pittsburgh Compound B.  J Neurosci Methods. 2008;172(2):277-28218582948PubMedGoogle ScholarCrossref
32.
Villemagne VL, McLean CA, Reardon K,  et al.  11C-PiB PET studies in typical sporadic Creutzfeldt-Jakob disease.  J Neurol Neurosurg Psychiatry. 2009;80(9):998-100119332421PubMedGoogle ScholarCrossref
33.
Cairns NJ, Ikonomovic MD, Benzinger T,  et al.  Absence of Pittsburgh compound B detection of cerebral amyloid beta in a patient with clinical, cognitive, and cerebrospinal fluid markers of Alzheimer disease: a case report.  Arch Neurol. 2009;66(12):1557-156220008664PubMedGoogle ScholarCrossref
34.
Klunk WE. Biopsy support for the validity of Pittsburgh compound B positron emission tomography with a twist.  Arch Neurol. 2008;65(10):1281-128318852340PubMedGoogle ScholarCrossref
35.
Jack CR Jr, Lowe VJ, Weigand SD,  et al; Alzheimer's Disease Neuroimaging Initiative.  Serial PIB and MRI in normal, mild cognitive impairment and Alzheimer's disease: implications for sequence of pathological events in Alzheimer's disease.  Brain. 2009;132(pt 5):1355-136519339253PubMedGoogle ScholarCrossref
36.
Engler H, Forsberg A, Almkvist O,  et al.  Two-year follow-up of amyloid deposition in patients with Alzheimer's disease.  Brain. 2006;129(pt 11):2856-286616854944PubMedGoogle ScholarCrossref
37.
Klunk WE, Mathis CA, Price JC, Lopresti BJ, DeKosky ST. Two-year follow-up of amyloid deposition in patients with Alzheimer's disease.  Brain. 2006;129(pt 11):2805-280717071918PubMedGoogle ScholarCrossref
38.
Jack CR Jr, Knopman DS, Jagust WJ,  et al.  Hypothetical model of dynamic biomarkers of the Alzheimer's pathological cascade.  Lancet Neurol. 2010;9(1):119-12820083042PubMedGoogle ScholarCrossref
39.
Storandt M, Mintun MA, Head D, Morris JC. Cognitive decline and brain volume loss as signatures of cerebral amyloid-beta peptide deposition identified with Pittsburgh compound B: cognitive decline associated with Abeta deposition.  Arch Neurol. 2009;66(12):1476-148120008651PubMedGoogle ScholarCrossref
40.
Rinne JO, Brooks DJ, Rossor MN,  et al.  11C-PiB PET assessment of change in fibrillar amyloid-beta load in patients with Alzheimer's disease treated with bapineuzumab: a phase 2, double-blind, placebo-controlled, ascending-dose study.  Lancet Neurol. 2010;9(4):363-37220189881PubMedGoogle ScholarCrossref
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