Abstract
Pathologic deposition of amyloid β (Aβ) protein is a key component in the pathogenesis of Alzheimer disease (AD) but not a feature of frontotemporal dementia (FTD). PET ligands for Aβ protein are increasingly used in diagnosis and research of dementia syndromes. Here, we report a PET study using 18F-florbetapir in healthy controls and patients with AD and FTD. Methods: Ten healthy controls (mean age ± SD, 62.5 ± 5.2 y), 10 AD patients (mean age ± SD, 62.6 ± 4.5), and 8 FTD patients (mean age ± SD, 62.5 ± 9.6) were recruited to the study. All patients underwent detailed clinical and neuropsychologic assessment and T1-weighted MR imaging and were genotyped for apolipoprotein E status. All participants underwent dynamic 18F-florbetapir PET on a high-resolution research tomograph, and FTD patients also underwent 18F-FDG PET scans. Standardized uptake value ratios (SUVRs) were extracted for predefined gray and white matter regions of interest using cerebellar gray matter as a reference region. Static PET images were evaluated by trained raters masked to clinical status and regional analysis. Results: Total cortical gray matter 18F-florbetapir uptake values were significantly higher in AD patients (median SUVR, 1.73) than FTD patients (SUVR, 1.13, P = 0.002) and controls (SUVR, 1.26, P = 0.04). 18F-Florbetapir uptake was also higher in AD patients than FTD patients and controls in the frontal, parietal, occipital, and cingulate cortices and in the central subcortical regions. Only 1 FTD patient (homozygous for apolipoprotein E ε4) displayed high cortical 18F-florbetapir retention, whereas 18F-FDG PET demonstrated mesiofrontal hypometabolism consistent with the clinical diagnosis of FTD. Most visual raters classified 1 control (10%) and 8 AD (80%) and 2 FTD (25%) patients as amyloid-positive, whereas ratings were tied in another 2 FTD patients and 1 healthy control. Conclusion: Cortical 18F-florbetapir uptake is low in most FTD patients, providing good discrimination from AD. However, visual rating of FTD scans was challenging, with a higher rate of discordance between interpreters than in AD and control subjects.
Frontotemporal dementia (FTD) is the second most common cause of presenile dementia (1), typically presenting with early loss of insight and behavioral change (2). However, early diagnosis may be challenging given the overlap between clinical features seen in FTD and other neurodegenerative conditions such as Alzheimer disease (AD) (3). Clinicopathologic studies suggest that 10%–20% of patients with a clinical diagnosis of FTD have AD pathology, whereas the standard clinical criteria for AD before 2011 had poor diagnostic specificity (4,5). Symptomatic therapies, such as cholinesterase inhibitors, that are effective in AD do not have proven efficacy in FTD (6). The identification of biomarkers capable of predicting underlying neuropathology is therefore a critical aim to both improve diagnostic accuracy and identify patients suitable for trials of putative symptomatic therapies and disease-modifying agents.
Regional deposition of fibrillary amyloid β (Aβ) protein is one of the principal pathologic substrates of AD, whereas patients with FTD exhibit a range of nonamyloid pathologic changes of frontotemporal lobar degeneration (FTLD). PET studies in patients with AD have identified increased cortical and subcortical retention of 11C-labeled Pittsburgh compound B (11C-PiB), which binds to fibrillary Aβ (7). Initial studies showed significantly lower neocortical 11C-PiB retention in patients with FTD than in patients with AD, although several 11C-PiB–positive FTD patients were reported (8,9). Higher white matter 11C-PiB binding in AD patients than FTD patients is reported by some authors (8). In a subsequent larger diagnostic study in 45 FTLD and 62 AD patients, 11C-PiB PET was shown to have 89%–90% sensitivity for AD and specificity comparable to 18F-FDG PET, with complete congruency between visual interpretation of 11C-PiB images and known histopathology (10). Thus, amyloid imaging represents an important potential biomarker for the differential diagnosis of AD and FTD.
Despite the diagnostic utility of 11C-PiB, its widespread use is limited by issues including limited production capacity and short half-life. 18F-Florbetapir ((E)-4-(2-(6-(2-(2-(2-18F-fluoroethoxy)ethoxy)ethoxy)pyridin-3-yl)vinyl)-N-methyl benzeneamine) is 1 of 3 fluorine-labeled Aβ PET ligands developed to overcome these limitations. Cortical 18F-florbetapir uptake is higher in AD patients than controls and correlates well with amyloid and plaque burden postmortem (11,12). However, data on 18F-florbetapir PET imaging in FTD have not hitherto been published. We hypothesized that gray matter retention of 18F-florbetapir would be increased in patients with AD, compared with those with FTD and healthy controls. As secondary objectives, we wished to quantify white matter 18F-florbetapir uptake in patients with FTD as compared with those with AD and examine the effect of apolipoprotein E (APOE) genotype, a risk factor for AD, on 18F-florbetapir retention in FTD (13).
MATERIALS AND METHODS
Subjects
Ten healthy controls, 10 patients with mild to moderate AD, and 8 patients with behavioral variant FTD were recruited to the study. Participants with AD met National Institute of Neurological and Communicative Disorders and Stroke and the Alzheimer’s Disease and Related Disorders Association criteria for probable AD (14) and had a Mini-Mental State Examination (MMSE) score of 10–24 inclusive, whereas participants with FTD met consensus diagnostic criteria (2). All patients gave written informed consent to participate in the study, or if they lacked capacity advice was sought from a consultee under the provisions of the Mental Capacity Act 2005. The study was approved by the Newcastle and North Tyneside Research Ethics Committee (approval no. 08/H0907/158) and Administration of Radioactive Substances Advisory Committee (no. 595/3586/24024).
Participants were screened for comorbidities, and a neuropsychologic evaluation including MMSE and Clinical Dementia Rating scale was performed. Exclusion criteria included neurodegenerative disorders other than FTD and AD, clinically significant systemic disease, recent substance abuse, clinically significant electrocardiogram abnormalities or laboratory evaluations, and severe drug allergy or hypersensitivity. Genetic testing for APOE genotype was performed in all subjects with AD and FTD.
MR Imaging
All participants underwent structural T1-weighted MR imaging on a 3-T Achieva scanner (Philips) using an 8-element SENSE (Sensitivity ENcoding Spin Echo) head coil. A T1-weighted inversion recovery sequence was used with the following parameters: fast field echo; field of view, 256; matrix, 256 × 256; SENSE acceleration factor, 2; slice thickness, 1 mm; 150 contiguous slices; acquired voxel size, 1.0 × 1.25 × 1.0 mm reconstructed to 1.0 × 1.0 × 1.0 mm (repetition time, 8.4 ms; echo time, 3.8 ms; inversion time, 1,150 ms).
PET Imaging
All participants underwent PET imaging with 18F-florbetapir on the high-resolution research tomograph (HRRT; CTI/Siemens); in the case of FTD patients, amyloid imaging was performed at least 24 h but no more than 14 d after the 18F-FDG PET. Participants were positioned optimally within the scanner, and a 7-min transmission scan to allow for attenuation correction was obtained. Participants received a slow bolus intravenous injection of 10 mL of 288.3 ± 18.2 MBq of 18F-florbetapir over 20 s (range, 244.8–315.3; target dose, 300 MBq) 7 min after the start of the subsequent emission scan, followed by a slow bolus saline flush. PET data were acquired for a total of 60 min after injection in list-mode and were reconstructed using an ultra-fast ordered-subsets expectation maximization algorithm (15) (matrix size, 256 × 256 × 207; voxel size, 1.22 × 1.22 × 1.22 mm). Centroid of motion data were used to correct for head motion by realignment of frames as previously described (16).
All FTD patients also underwent 18F-FDG PET imaging on the HRRT to provide additional diagnostic information. Participants fasted for a minimum of 6 h before PET imaging. Participants were optimally positioned within the scanner, and a 7-min transmission scan to allow for attenuation correction was obtained. A slow bolus intravenous injection of 10 mL of 185 MBq of 18F-FDG was given over 20 s 7 min subsequent to the start of emission scan, followed by a slow bolus saline flush. PET data were acquired for a total of 60 min after injection in list-mode and reconstructed as described above.
Image Analysis
Motion-corrected summed 18F-florbetapir PET images (50–60 min) for each subject were coregistered to the structural MR images using SPM8 (Wellcome Trust Centre for Neuroimaging) running in MATLAB (r2011a; The MathWorks). The quality of coregistration was checked visually for each subject. Unified segmentation of structural T1-weighted MR images was performed in SPM8, after which a modified probabilistic anatomic atlas (17) was normalized to each individual subject’s anatomic space (Supplemental Fig. 1; supplemental materials are available at http://jnm.snmjournals.org). Gray and white matter object maps were created by convolving the normalized anatomic atlas with binary gray and white matter masks, and uptake values were extracted in ANALYZE 10.0 (AnalyzeDirect) (18). The average of all neocortical areas was presented as the mean cortical uptake value. The borders of white matter tissue regions kept a distance of at least 4 mm from gray matter. Intensity normalization of all region-of-interest (ROI) values was performed to the mean gray matter cerebellar uptake to produce standardized uptake value ratios (SUVRs).
18F-florbetapir images smoothed by an 8-mm gaussian volume filter to reduce image noise were interpreted using a gray-scale display by 4 interpreters experienced in brain PET scanning who were masked to clinical diagnosis and regional analysis results. Interpreters had been trained according to current guidelines (Amyvid prescribing information; Eli Lilly) to recognize amyloid-positive scans by increased retention of tracer in cortical gray matter as shown by the apparent loss of contrast in gray or white matter in any 2 cortical regions or intense uptake in at least 1 cortical region.
Summed 18F-FDG PET images (20–60 min after injection) were visually rated by 2 investigators experienced in brain PET imaging and masked to clinical details. Visual analysis was supported by stereotactic surface projections of metabolic abnormalities using Neurostat (University of Washington, Seattle, WA) (19,20).
Statistical Analysis
Data analysis was performed using SPSS (version 20.0; IBM). Variables were assessed for normality using the Shapiro–Wilk test. Continuous data for the 3 groups were evaluated using 1-way ANOVA for normally distributed values and the Kruskal–Wallis test for nonnormally distributed values. Post hoc Tukey or Mann–Whitney tests with Bonferroni adjustment were applied. Continuous data for AD and FTD patients only were evaluated using the Student t test. Categoric data were evaluated using a χ2 test. The effect of APOE ε4 gene dosage on cortical 18F-florbetapir binding was assessed by analysis of covariance. A significance level of P less than 0.05 was used for all analyses.
RESULTS
Demographic and clinical data are shown in Table 1. There were no significant differences between the AD and FTD groups in terms of age, disease duration, or dementia severity as measured by MMSE or Clinical Dementia Rating (P > 0.05), although severity scores were significantly worse in AD and FTD patients than controls (P < 0.05). Sex distribution was unequal between groups, as the FTD patients were all men. There was no significant difference in distribution of APOE ε4 alleles between the 2 disease groups (P > 0.05).
Quantitative Analysis of 18F-Florbetapir PET Images
There was a significant effect of diagnostic group (Kruskal–Wallis test, P = 0.002) on mean cortical 18F-florbetapir binding relative to cerebellar cortex, which was lower in FTD patients (1.25 ± 0.36; P = 0.002) and controls (1.29 ± 0.11; P = 0.04) than in AD patients (1.77 ± 0.38) (Fig. 1). A threshold of 1.45 provided optimum discrimination between AD patients and controls (17/20 classified correctly), and only 1 FTD patient was above that threshold.
18F-Florbetapir binding was significantly increased in AD subjects, compared with FTD and healthy controls in most ROIs, including posterior and anterior cingulate cortices, as well as frontal, parietal, and occipital neocortices and subcortical gray matter regions (Table 2). There was no significant difference between AD patients and controls in mesial temporal lobe structures, although 18F-florbetapir binding in this region was higher in AD than FTD. There were no significant differences in 18F-florbetapir binding in FTD, compared with controls, in any area tested. The analysis of white matter uptake ratios revealed no significant differences between groups in any ROI or overall white matter binding (Table 2).
Visual Analysis of PET Images
As shown in Supplemental Table 1, most interpreters identified 1 positive 18F-florbetapir scan of 10 healthy control subjects and 2 negative scans in 10 AD patients. In 1 control, visual ratings were tied (2 positive, 2 negative). Of the 8 FTD patients, 4 were rated by majority as amyloid-negative, 2 as positive (patients 12 and 18), and 2 were tied (patients 14 and 15). Overall, there was a moderate agreement among interpreters (Fleiss’s κ, 0.57). Disagreement tended to be more frequent in patients with FTD (5/8) than in patients with AD and controls (6/20).
Only 1 of the FTD patients (patient 18) was rated positive by all interpreters and exhibited increased cortical 18F-florbetapir binding in quantitative analysis, with all cortical regions within the range seen in AD patients. This patient had presented with symptoms since the age of 64, with a history of disinhibition and a loss of empathy and judgment, and lacked insight into his problems. MMSE was 26 of 30, and neuropsychologic evaluation showed executive dysfunction, with inefficient memory secondary to this, but normal perceptuospatial function. On clinical follow-up, he remained disinhibited and inattentive and showed marked impairment on an emotion recognition task. His 18F-FDG PET scan showed marked frontotemporal hypometabolism with relative preservation of posterior cingulate/precuneus, consistent with the clinical diagnosis of FTD (Supplemental Fig. 2). Uniquely among the FTD cohort, this subject was homozygous for the APOE ε4 allele, consistent with the positive amyloid finding.
On visual examination of 18F-FDG PET images by 2 neurologists experienced in brain PET imaging, a degree of frontal hypometabolism was seen in all FTD patients, whereas no patients displayed a pattern typical for AD. In 2 patients, changes assessed visually and by stereotactic surface projection were mild. Three patients showed pronounced anterior temporal hypometabolism in addition to the frontal changes. Four patients also showed some degree of parietal or occipital hypometabolism, whereas no patients had bilateral metabolic impairment of the posterior cingulate or precuneus.
DISCUSSION
We report the first study, to our knowledge, of 18F-florbetapir PET imaging in patients with FTD, compared with those with AD. Consistent with previous studies, neocortical and subcortical gray matter 18F-florbetapir retention was increased in patients with AD, compared with healthy controls (21,22). In line with the primary study hypothesis, 18F-florbetapir binding was significantly increased in the cortical and subcortical gray matter of patients with AD relative to those with FTD.
The visual interpretation data in our study with respect to AD patients and controls were comparable to those reported in previous studies (21,22) and in line with the overlap seen on regional analysis (Fig. 1) between patients with AD and healthy controls. However, rating FTD patients was challenging, with only 2 of 8 FTD scans unanimously rated as negative, and the high disagreement rate indicated considerable uncertainty, whereas quantitative regional analysis identified increased global cortical binding comparable to AD in only 1 FTD patient. Retrospective unmasked inspection of scans in conjunction with MR scans revealed that severe cortical atrophy had confounded visual rating of some scans by mimicking high cortical uptake in some brain areas (Fig. 2B). Two FTD patients (patients 12 and 15) and 1 control subject (subject 22), who had received positive ratings, also had low cerebral white matter SUVR (1.91, 1.84, and 1.86, respectively, compared with a median of 2.46; interquartile range, 1.98–2.72, in entire sample). This low cerebral white matter may have reduced the contrast between gray and white matter that was guiding visual interpretation. Scans with discordant ratings did not show the typical full AD pattern but had reduced gray/white matter contrast in some lobes to a degree that fulfilled formal criteria for scan positivity (Fig. 3). Possible reasons of that appearance included regional cortical atrophy, low tracer uptake in white matter, and minor head movement. As demonstrated in Figure 3, MR image coregistration and image fusion could have clarified the actual gray/white matter borders, demonstrating the actual contrast and thus, perhaps, preventing misclassification. This somewhat atypical appearance contrasts with the unequivocally increased cortical 18F-florbetapir uptake seen in subjects with elevated 18F-florbetapir SUVRs (Figs. 2A and 2C). These observations suggest that visual interpretation of 18F-florbetapir images may be challenging in patients with FTD, and guidance should be refined on the basis of further studies in FTD using standard clinical scanners.
Limitations of our study include the relatively small sample size and the use of clinical diagnosis as a standard of truth, in the absence of pathologic verification. However, clinical diagnosis was based on the assessment of experienced clinicians working in a tertiary cognitive neurology unit with a good record for diagnostic accuracy in AD and FTLD as confirmed by clinicopathologic studies (23). In addition, none of the FTD patients had patterns of 18F-FDG hypometabolism typical for AD. However, as only FTD patients underwent 18F-FDG PET, the diagnostic utility of 18F-florbetapir, compared with 18F-FDG PET, cannot be estimated. Given that our FTD cohort met research criteria for FTD, the generalizability of our findings to clinical situations in which there is a genuine diagnostic equipoise between AD and FTD is potentially limited. Previous 11C-PiB data from patients with pathologically confirmed FTLD showed that all were visually rated as negative for amyloid (10). A strength of our study is that study groups were well matched in terms of age, relatively short disease duration, and dementia severity. Although the groups were not balanced in terms of sex, previous data suggest that PiB binding is greater in men with AD (24), and therefore the greater proportion of men in the FTD group in this study is unlikely to have influenced the outcome.
Our findings in FTD are consistent with other published studies using 11C-PiB, in which lower neocortical uptake has been observed relative to AD (8–10). We used a different method to delineate ROIs for our analysis, namely an atlas-based approach after segmentation of anatomic MR imaging scans, in contrast to previous papers (8,9). Together with motion correction of the PET data, MR-based segmentation should improve the accuracy of ROI definition and minimize the effect of spill-over from adjacent regions. Although we did not perform partial-volume correction on these data, this is comparable to existing studies reporting amyloid imaging in FTD, including a recent report of another 18F-labeled tracer, florbetaben (25). Studies on partial-volume correction of 11C-PiB data suggest that our approach may underestimate group differences between AD and other conditions, so the absence of partial-volume correction is unlikely to invalidate our findings (26). In most previous studies, 18F-florbetapir SUVRs were calculated with reference to the entire cerebellum (21,22). We used the cerebellar cortex to avoid contamination of the reference values by the variation of nonspecific cerebellar white matter uptake, whereas SUVRs calculated with either method were highly correlated (R2 = 0.89).
Previous studies have suggested a significant overlap between AD and FTD patients in binding of 11C-PiB, with 2–4 positive subjects in cohorts of a size comparable to that reported here (8,9). However, several of these reported cases had neuropsychologic features, a subsequent clinical course, or 18F-FDG PET findings to suggest an alternative diagnosis of AD (8,9). Patients with pathologically confirmed AD may have behavioral features of FTD at presentation, although they tend to develop neuropsychologic features, such as visuospatial impairment, characteristic of AD during the disease course (4,27). However, the clinical features, subsequent clinical course, and 18F-FDG imaging of the FTD patients with high regional uptake were all in keeping with the clinical diagnosis of FTD. One FTD patient was homozygous for the APOE ε4 allele and showed elevated neocortical 18F-florbetapir retention, in line with previous studies demonstrating that APOE ε4 is associated with higher amyloid burden (13). Deposition of Aβ has also been described in pathologically confirmed FTLD (28), with a greater Aβ burden in APOE ε4 carriers and extensive neuritic plaque deposition in an APOE ε4 homozygote. A positive 18F-florbetapir PET scan has also been reported recently in a patient with frequent cortical neuritic plaques and frontotemporal lobar degeneration with TDP43-positive inclusions (29). Most likely, this positive scan represents FTD–AD comorbidity, with the FTD component dominating the clinical presentation.
Previous studies on the topography of white matter binding of amyloid tracers have produced variable findings. Several 11C-PiB PET studies showed no significant differences in binding to subcortical white matter between AD and controls, whereas PiB did not show specific binding to white matter homogenates or postmortem specimens from AD patients (7,30). Other studies have reported elevated 11C-PiB retention in the subcortical white matter of patients with AD, compared with FTD (8), indicating the importance of resolving this issue. It is possible that white matter pathology, seen prominently in some molecular subtypes of FTD, might lead to a reduction in amyloid binding, compared with AD. When using eroded white matter masks to minimize the possibility of contamination of adjacent white matter regions by the differences in specific gray matter binding between AD and FTD due to partial-volume effects, we could not find significant differences in white matter binding between groups, whereas there was considerable interindividual variation.
Our observations underline that referring physicians should evaluate amyloid PET scan results in the context of clinical findings. Moreover, it may be useful for interpreters to indicate when the presentation is atypical and classification is uncertain. In our series, we would not have changed the clinical diagnosis in any of the FTD patients, but the scans made us aware of additional amyloid pathology in at least one of them.
CONCLUSION
This study demonstrates the discrimination of patients with AD from those with FTD and healthy controls based on high-resolution 18F-florbetapir PET scans and MR imaging–guided regional analysis. However, factors such as atrophy and relatively low white matter uptake may complicate visual interpretation of 18F-florbetapir scans in some patients with FTD, and further larger studies using standard clinical scanners are required for clarification.
DISCLOSURE
The costs of publication of this article were defrayed in part by the payment of page charges. Therefore, and solely to indicate this fact, this article is hereby marked “advertisement” in accordance with 18 USC section 1734. The study was funded by a grant from Avid radiopharmaceuticals, Alzheimer Research U.K., and NIHR Clinical Lectureships. No other potential conflict of interest relevant to this article was reported.
Acknowledgments
We are grateful to Dr. Anupa Arora and Dr. Raj Agarwal for interpreting scans.
Footnotes
Published online Feb. 5, 2015.
- © 2015 by the Society of Nuclear Medicine and Molecular Imaging, Inc.
REFERENCES
- Received for publication October 1, 2014.
- Accepted for publication November 6, 2014.