Longitudinal study of primary progressive aphasia in a patient with pathologically diagnosed Alzheimer's disease: a case report

BACKGROUND

Alzheimer's disease is a neurodegenerative disease involving the deposition of pathologic amyloid-β and tau protein in the cerebral cortex. Alzheimer's disease is commonly characterized by progressive impairment of recent memory. Primary progressive aphasia is also often observed in patients with Alzheimer's disease. Moreover, language-associated symptoms, such as primary progressive aphasia, are diverse and varied in Alzheimer's disease. However, nonfluent/agrammatic variant primary progressive aphasia is not generally considered a symptom of Alzheimer's disease. To date, there has been no longitudinal study of primary progressive aphasia in Japanese-speaking patients or in patients speaking other languages with pathologically diagnosed Alzheimer's disease. Here we present a longitudinal study of primary progressive aphasia in a Japanese patient pathologically diagnosed with Alzheimer's disease.

CASE PRESENTATION

A 75-year-old Japanese man, whose wife reported that his memory was impaired, also suffered from suspected aphasia. He was pathologically diagnosed with Alzheimer's disease using 11C-Pittsburgh compound-B positron emission tomography and 18F-THK5351 positron emission tomography. Based on clinical observation and the results of the Japanese standard language test of aphasia, he was also diagnosed with nonfluent/agrammatic variant primary progressive aphasia. During the subsequent 2 years, his cognitive impairment, aphasia, and behavioral and psychological symptoms of dementia progressed. Furthermore, progression of pathologic amyloid-β and tau protein deposition was revealed through 11C-Pittsburgh compound-B positron emission tomography and 18F-THK5351 positron emission tomography. Although the results of [123I] iodoamphetamine single-photon emission computed tomography suggested corticobasal degeneration, this was not observed on the [123I] FP-CIT single-photon emission computed tomography (SPECT) (DaTscan). A previous study had reported that Alzheimer's disease with a nonfluent/agrammatic variant primary progressive aphasia was accompanied by corticobasal degeneration; however, this was not true in our case.

CONCLUSIONS

This is possibly the first longitudinal study of nonfluent/agrammatic variant primary progressive aphasia in a Japanese-speaking patient with pathologically diagnosed Alzheimer's disease, but without corticobasal degeneration.

11C-Pittsburgh compound B and 18F-THK 5351 positron emission tomography brain imaging in cognitively normal individuals

Abnormal beta-amyloid plaques and tau protein accumulation are the core pathologic features of Alzheimer's disease. However, the accumulation of these proteins is also common in cognitively normal elderly people. Therefore, this study is aimed to evaluate the amyloid and tau accumulation in the cognitively normal population. A preliminary prospective study was conducted on 24 cognitively normal individuals who underwent Pittsburgh compound B (¹¹C-PiB) and ¹⁸F-THK 5351 positron emission tomography (PET)/computed tomography scans. The standardized uptake value ratio (SUVR) was used for quantitative analysis of the two tracers and comparisons between two age groups: ≤60 years and >60 years. Co-registration was applied between the dynamic acquisition PET and T1-weighted magnetic resonance imaging to delineate various cortical regions. P-mod software with the automated anatomical labeling-merged atlas was employed to generate automatic volumes of interest for different brain regions. The posterior cingulate versus precuneus SUVRs of PiB uptake was 1.40 ± 0.07 and 1.38 ± 0.22 versus 1.17 ± 0.07 and 1.14 ± 0.18 in those aged ≤60 years and >60 years, respectively, whereas the SUVRs of THK5351 retention at brain stem versus inferior temporal SUVRs were 1.84 ± 0.06 and 1.91 ± 0.18 versus 1.37 ± 0.04 and 1.48 ± 0.21 in the age groups of ≤ 60 years and >60 years, respectively (P = 0.20). Our findings allow the determination of the preliminary optimal cutoff points for SUVRs in amyloid and tau PET studies. Ultimately, these values can be applied to normal databases in clinical use to improve quantitative analysis.

Binding of 11C-Pittsburgh compound-B correlated with white matter injury in hypertensive small vessel disease

OBJECTIVE

¹¹C-Pittsburgh compound-B (¹¹C-PIB) positron emission tomography (PET) is used to visualize and quantify amyloid deposition in the brain cortex in pathological conditions such as Alzheimer's disease (AD). Intense ¹¹C-PIB retention is also observed in the white matter (WM) of both healthy individuals and AD patients. However, the clinical implications of this retention in brain WM have not been clarified. We investigated the relationship between the extent of white matter lesions (WMLs) and the binding potential of ¹¹C-PIB (BP_ND) in the WM in patients with hypertensive small vessel disease. We further examined the relationship between the extent of WMLs and BP_ND in WML and in normal-appearing white matter (NAWM).

METHODS

Twenty-one hypertensive vasculopathy patients, without AD and major cerebral arterial stenosis and/or occlusion, were enrolled (9 women, 68 ± 7 years). Regions of WML and NAWM were extracted using magnetization-prepared rapid gradient-echo and fluid-attenuated inversion recovery of magnetic resonance images. Volumes of interest (VOIs) were set in the cortex-subcortex, basal ganglia, and centrum semiovale (CS). BP_ND in the cortex-subcortex, basal ganglia, CS, WML, and NAWM were estimated on ¹¹C-PIB PET using Logan graphical analysis with cerebellar regions as references. The relationships between WML volume and BP_ND in each region were examined by linear regression analysis.

RESULTS

BP_ND was higher in the CS and basal ganglia than in the cortex-subcortex regions. WML volume had a significant inverse correlation with BP_ND in the CS (Slope = -0.0042, R ²  = 0.44, P < 0.01). For intra WM comparison, BP_ND in NAWM was significantly higher than that in WML. In addition, although there were no correlations between WML volume and BP_ND in WML, WML volume was significantly correlated inversely with BP_ND in NAWM (Slope = -0.0017, R ²  = 0.26, P = 0.02).

CONCLUSIONS

¹¹C-PIB could be a marker of not only cortical amyloid-β deposition but also WM injury accompanying the development of WMLs in hypertensive small vessel disease.

Longitudinal amyloid imaging using 11C-PiB: methodologic considerations

Several methods are in use for analyzing (11)C-Pittsburgh compound-B ((11)C-PiB) data. The objective of this study was to identify the method of choice for measuring longitudinal changes in specific (11)C-PiB binding.

METHODS

Dynamic 90-min (11)C-PiB baseline and follow-up scans (interval, 30 ± 5 mo) were obtained for 7 Alzheimer disease (AD) patients, 11 patients with mild cognitive impairment (MCI), and 11 healthy controls. Parametric images were generated using reference parametric mapping (RPM2), reference Logan values, and standardized uptake value volume ratios (SUVr), the latter for intervals between 60 and 90 (SUVr(60-90)) and 40 and 60 (SUVr(40-60)) minutes after injection. In all analyses, cerebellar gray matter was used as a reference region. A global cortical volume of interest was defined using a probability map-based template. Percentage change between baseline and follow-up was derived for all analytic methods.

RESULTS

SUVr(60-90) and SUVr(40-60) overestimated binding with 13% and 10%, respectively, compared with RPM2. Reference Logan values were on average 6% lower than RPM2. Both SUVr measures showed high intersubject variability. Over time, R1, the delivery of tracer to the cortex relative to that to the cerebellum, decreased in AD patients (P < 0.05) but not in MCI patients and controls. Simulations showed that SUVr, but not RPM2 and reference Logan values, was highly dependent on uptake period and that changes in SUVr over time were sensitive to changes in flow.

CONCLUSION

To reliably assess amyloid binding over time--for example, in drug intervention studies--it is essential to use fully quantitative methods for data acquisition and analysis.