Abstract
Introduction: The objective of this study was to evaluate the clinical impact PET with 18F-FDG and 11C-PIB in patients with dementia in a developing country.
Methodology: Retrospective study of the patients referred for the evaluation of dementia to the only PET center in Uruguay. A total of 248 patients were identified, from which 70 patients were included based on the availability of medical history and clinical follow-up. Main outcomes included change in diagnosis, diagnostic dilemma and AD treatment. We evaluated the association of clinical outcomes with PET concordance with baseline diagnosis, diagnostic dilemma, level of education, AD pathology/Non-AD pathology (AD/Non-AD), baseline diagnosis and 11C-PIB PET result.
Results: Baseline clinical diagnosis was concordant with 18F-FDG and 11C-PIB PET results in 64.7 and 77.1% of the patients, respectively. Change in diagnosis after PET was identified in 30.0% of the patients and was associated with discordant 18F-FDG (p = 0.002) and 11C-PIB (p < 0.001) PET results, previous diagnostic dilemma (p = 0.005), low education (p = 0.027), Non-AD baseline diagnosis (p = 0.027), and negative 11C-PIB PET result (p < 0.001). Only the last variable remained significant in the multivariate analysis (adjusted p = 0.038). Diagnostic dilemma decreased after PET from 15.7 to 7.1% (p = 0.11) and was associated with Non-AD diagnosis (p = 0.002) and negative 11C-PIB PET result (p = 0.003). Change in AD treatment after PET occurred in 45.7% of the patients.
Conclusion:18F-FDG and 11C-PIB PET had a significant clinical impact in terms of change in diagnosis and treatment in patients with dementia in a developing country, similar to that reported in high-income countries.
Introduction
The expected increase in the prevalence of neurodegenerative diseases in the coming years will particularly affect low- and middle-income countries (). In this context, it is imperative to evaluate the clinical impact of dementia biomarkers to gather relevant information for the construction of rational diagnostic algorithms.
There is a considerable amount of evidence supporting the clinical use of 18F-FDG PET in the evaluation of patients with cognitive impairment (, ). This information has led to the incorporation of 18F-FDG into clinical and research guidelines in dementia (, ). In the last 15 years, PET with amyloid tracers has also gained ground in the field, becoming one of the leading amyloid biomarkers (, ).
Access to high-cost diagnostic biomarkers, such as PET studies, shows significant global heterogeneity, with clear inequities between high- and low- and middle-income countries. PET cameras per million inhabitants can vary from 0.007 to 3.2 between low- and middle- and high-income countries, respectively (). In this context, the Latin America and Caribbean region (LAC) averages 0.47 PET cameras/million inhabitants, a number clearly below the recommended 2–2.5 (, ). The low accessibility to high-cost biomarkers is generally accentuated in populations of public health systems and outside of large cities, which has determined their low representation in the scientific literature (, ).
Recently, important clinical studies are been carried out to stablish the clinical impact of amyloid and 18F-FDG PET in the clinical practice (–). Although there is now significant evidence about the clinical impact of incorporating these tools in the assessment of patients with cognitive impairment, most of the literature comes from high-income countries. There is little evidence on the clinical impact of these tools in less developed health systems and populations that are usually underrepresented in the clinical literature in the field of dementia.
The objective of the present work is to study the clinical impact of PET with 18F-FDG and 11C-PIB in patients with cognitive impairment referred for clinical evaluation in a developing country.
Methodology
Study Population
We retrospectively reviewed the Uruguayan Center of Molecular Imaging (CUDIM) database, identifying patients who had undergone both 18F-FDG and 11C-PIB PET/CT between April 2011 and May 2020. All patients had been referred for evaluation of cognitive impairment from different public and private specialized medical centers because of an uncertain diagnosis despite a complete clinical evaluation by a neurologist, neuropsychological assessment and structural imaging. Of the 248 available patients, we had access to the medical history and clinical follow-up (mean follow-up 4.5 years, range 0.5–8 years) in 70 cases, which were finally included in the analysis. All 70 patients were evaluated with 11C-PIB PET/CT and 51 of them also underwent 18F-FDG PET/CT. A summary of patient characteristics is presented in Table 1.
Table 1
| All patients (n = 248) | |||
|  Age (mean ± SD; range) | 70.2 | ±9.62 | 50–87 |
| Â Gender (% female) | 142 | 57.3% | |
| Patients with follow-up (n = 70) | |||
|  Age (mean ± SD; range) | 67.29 | ±10.22 | 48–86 |
| Â Gender (% female) | 42 | 60% | |
|  Formal education (mean ± SD; range) | 11.69 | ±5.5 | 0–23 |
|  MMSE (mean ± SD; range) | 23.84 | 5.66 | 5–30 |
|  Disease duration in years (mean ± SD; range) | 3.04 | 3.10 | 0.5–20 |
| Baseline diagnosis (n, %) | |||
| Â AD | 61 | 87.1% | |
| Â Non-AD | 9 | 12.8% | |
Population characteristics.
AD, Alzheimer's Disease; MMSE, Mini-Mental State Examination; SD, Standard Deviation.
Clinical Evaluation
A complete medical history from the patient and a close informant as well as a detailed general and neurological physical examination was performed by a dementia specialist in all patients. Laboratory tests included complete blood cell count, calcium, glucose, renal and liver function, vitamin B12, folate, thyroid stimulating hormone and serological tests for syphilis and HIV. The global cognitive function was assessed with the Mini-Mental State Examination (MMSE) and the Addenbrooke's Cognitive Examination (ACE). The neuropsychological evaluation consisted of tests evaluating memory, language, praxis, visual-spatial abilities, attention and executive function. Test performed in all centers included the Rey Auditory Verbal Learning test, category fluency test, Boston Naming test, Rey-Osterrieth Complex Figure test, clock drawing test, forward and backward digit span tests, Trail Making tests A and B, Stroop Color Test, Symbol Digit Modalities test and the Neuropsychiatric Inventory scale. Dementia severity was assessed with the Clinical Dementia Rating scale (CDR). All patients underwent structural magnetic resonance imaging (MRI) of the brain.
Image Acquisition and Interpretation
PET/CT imaging was performed within 1 month from referral. Both 18F-FDG and 11C-PIB images were obtained on a GE Discovery 690 or a GE Discovery STE PET/CT scanner on separate days within a 2-month period. For 18F-FDG PET, patients fasted for 6 h and abstained from tea, coffee, alcohol and nicotine. Images were performed if blood glucose levels were below 150 mg/dl. Patients received an intravenous injection of 3.0 MBq/kg of 18F-FDG in a dimmed quiet room with no external stimuli. Forty minutes later, 3D PET/CT images were acquired. For 11C-PIB PET/CT, the patient was positioned in the scanner, a low dose CT was acquired for attenuation correction and anatomical correlation, and a full dynamic 3D PET/CT acquisition was performed after the intravenous administration of 4.0 MBq/kg of the radiotracer.
Images were analyzed and interpreted by at least two experienced nuclear medicine physicians independently and the discrepancies were solved by consensus. 18F-FDG PET results were reported following previously described criteria (). Briefly, an Alzheimer's disease (AD) pattern was reported when hypometabolism in parietotemporal cortex and posterior cingulate gyrus was detected and metabolism was preserved in occipital and sensory-motor cortex, basal ganglia and cerebellum. Other characteristic patterns of neurodegenerative dementia were also considered, including frontal and temporal hypometabolism in frontotemporal dementia (FTD) and posterior parietal and occipital hypometabolism in Lewy body dementia (LBD) (). If no such pattern was present on 18F-FDG PET images, the study was reported as a non-degenerative disease. Quantification through Z-score maps was available for interpretation of all 18F-FDG PET images (CortexID, GE Heathcare, UK). 11C-PIB PET was reported as positive or negative considering the presence or absence of significant cortical uptake, as described elsewhere (, ).
Study Approval and Patient Consent
Written informed consent was obtained from all patients or caregivers. The study was approved by the ethics committee of the Uruguayan Center of Molecular Imaging.
Data Analysis
Based on the methodology of previous reports with similar approaches (, ), baseline clinical diagnosis before PET was classified as associated with Alzheimer's disease pathology (AD) when the patient had a diagnosis of possible or probable AD based on the NIA-AA criteria (n = 38), amnestic mild cognitive impairment (MCI, n = 22) or LBD (n = 1). Non-AD baseline diagnosis was considered when the patient had a previous diagnosis of FTD (n = 5), semantic dementia (n = 1) or non-fluent primary progressive aphasia (n = 3). Baseline diagnosis on referral was based on previous clinical, neuropsychological and structural imaging information. The patients that have been referred with more than one clinical diagnosis were classified as diagnostic dilemmas and the first diagnosis listed was considered for AD/Non-AD classification. Concordance between PET and baseline diagnosis was established considering 18F-FDG and 11C-PIB patterns described above. LBD was considered within the AD category because of the high prevalence of amyloid deposits in the disease. After PET/CT imaging, the reports were disclosed to the referring physician and incorporated in the regular diagnostic work-up of the patients. Changes in diagnosis (whether or not the diagnosis change after disclosure of PET result), pharmacological AD treatment (addition or suspension of AD related treatment including donepezil, memantine, galantamine, or rivastigmine) and diagnostic dilemma (whether or not the patient had more than one clinical diagnosis) were evaluated by three experienced physicians and considered as the outcomes for the study. The definite diagnosis was the main diagnosis defined by the neurologist after the disclosure of PET results, considering clinical follow-up and all neuropsychological, laboratory and imaging information. For the statistical analysis, the association of the outcomes with the following variables was assessed individually using Fisher's exact test: PET concordance with baseline diagnosis, formal education (≤ 9 years or > 9 years), AD/Non-AD baseline diagnosis, baseline diagnostic dilemma and 11C-PIB PET result. Additionally, logistic regression analysis was performed exploring the following predictors of the outcomes: baseline AD/Non-AD diagnosis, baseline diagnostic dilemma, discordance of 11C-PIB PET with baseline diagnosis, discordance of 18F-FDG PET with baseline diagnosis and 11C-PIB PET result. A p value lower than 0.05 was considered significant.
Results
Concordance Between PET Studies and Baseline Diagnosis
The concordance between PET results and previous clinical diagnosis was 77.1% for 11C-PIB PET and 64.7% for 18F-FDG PET. No significant differences were found between 18F-FDG and 11C-PIB PET (p = 0.23). Considering only the MCI subgroup, we found a 77.3 and 70.5% concordance with previous diagnosis for 11C-PIB and 18F-FDG, respectively, with no significant differences in comparison with the rest of the patients (p = 0.98 for 11C-PIB and p = 0.77 for 18F-FDG). 11C-PIB and 18F-FDG PET agreed in the classification of 90.2% of the patients.
Change in Diagnosis After PET
Overall change in diagnosis after PET was observed in 30.0% of the patients. When compared separately, a significant association was found between the discordance of PET with baseline diagnosis and the change in diagnosis after PET (p < 0.001 for 11C-PIB and p = 0.002 for 18F-FDG PET). In addition, the change in diagnosis after PET was associated with lower educational level (p = 0.027), Non-AD baseline classification (p = 0.027), the presence of a diagnostic dilemma prior to PET (p 0.005) and a negative 11C-PIB PET result (p < 0.001). The MCI subgroup showed a 18.2% in change in diagnosis, with no significant differences in comparison with the rest of the patients (p = 0.17). In the multiple logistic regression model, only the negative result of the 11C-PIB PET study remained statistically significant (β-coefficient = −2.43, Standard Error = 1.09, p = 0.038) Figure 1. Change in diagnosis was observed in overall in 21 patients, 14 with baseline AD classification (9 with AD, 4 with amnestic MCI and 1 with LBD) and 7 with baseline non-AD classification (5 with FTD, 1 with SD and 1 with non-fluent APP). The patients in which a change in diagnosis after PET was observed had a disease duration of 3.5 ± 2.6 years. No diagnostic changes were found in patients with both 18F-FDG and 11C-PIB PET results concordant with baseline diagnosis. Figure 2 shows two examples of patients in which PET results determined a change in diagnosis.
Figure 1
Figure 2
Diagnostic Dilemma
The diagnostic dilemma decreased from 15.7 to 7.1% after PET, even though the decrease was not statistically significant (p = 0.11). Nevertheless, the change in dilemma was associated with baseline Non-AD classification (p = 0.002), and negative 11C-PIB PET result (p = 0.03). In the logistic regression analysis, no significant results were obtained for this outcome.
Change in Treatment
A change in pharmacological treatment related to AD after PET was observed in 45.7% of the patients, either including or retiring AD related pharmaceuticals. There was no significant association between treatment change and 18F-FDG or 11C-PIB PET discordance, baseline AD/Non-AD-diagnosis, baseline diagnostic dilemma or 11C-PIB PET result.
Discussion
In the present study, the clinical impact of 18F-FDG and 11C-PIB PET/CT was assessed in patients with cognitive impairment, exploring the change in diagnosis, specific AD treatment and diagnostic dilemma after PET. The study aimed to provide evidence about the usefulness of these techniques focusing on a particular cohort of patients referred from public and private institutions in a developing country like Uruguay. This constitutes the main strength of the study, given that populations from less developed health systems tend to be underrepresented in clinical studies with high-cost techniques. It is worth to notice that the study involved patients from both the public and private systems and represents the nationwide experience, since the institution where the study was carried out is the only PET center in Uruguay, providing assistance to the whole population.
Firstly, we observed a high overall agreement between PET results and baseline clinical diagnosis (70% of the patients). Although this phenomenon may vary depending on the characteristics of the population studied and the previous clinical and neuropsychological characterization, a high concordance has been reported, associated with a confirmatory role of PET studies in a significant proportion of the patients (, ).
The agreement was higher in the MCI subgroup, with 77.3 and 70.7% concordance for 11C-PIB and 18F-FDG, respectively. The percentage of concordance previously reported for MCI patients has been variable. Lage et al. showed a concordance of 57 and 20% for 11C-PIB and 18F-FDG (), while Sánchez-Juan et al. described a concordance of 80% for both radiotracers (). In our region, Chrem Mendez et al. described a concordance of 68.8% for 11C-PIB () and Coutinho et al. showed 37% positive 11C-PIB results in amnestic MCI patients ().
Regarding the clinical contribution of PET studies, we observed a change in diagnosis in 30% of the patients. Previous studies have shown variable results. In a recent systematic review by Fantoni et al. () amyloid PET resulted in a revised diagnosis in 31% of the cases. Other studies that incorporate both 18F-FDG and 11C-PIB PET reported changes of 9% () and 17% (). These differences may vary depending on the methodological design and the clinical setting in which the study is performed, with reported values that can reach up to 79% (–). In the MCI subgroup we found a change in diagnosis in 18.2% of the patients, less than in the complete group but not statistically different. Nevertheless, it should be considered that all these patients had amnestic MCI and the impact of PET in terms of change in diagnosis may be higher in non-amnestic MCI patients. In concordance with previous results from other groups, the change in diagnosis after PET in our series was associated with the presence of a previous diagnostic dilemma, which highlights the importance of PET imaging in patients with a challenging diagnosis.
Both 11C-PIB and 18F-FDG PET discordance with baseline diagnosis were associated with a diagnostic change, with 11C-PIB PET discrepancy as the most significant variable of the two. Similar results have been reported by Sánchez-Juan et al. () and Lage et al. () showing that amyloid PET discordance was the factor that most influenced the change in diagnosis. Moreover, 11C-PIB PET result was the only variable that remained significant in the multivariate analysis. These results remark the importance of the evaluation of amyloid deposits in the brain for the referring physician. Several studies have demonstrated the high negative predictive value of amyloid PET, with reported values of up to 100% (, ). Thus, a negative result practically rules out AD, providing critical information for the physician to change the diagnosis.
It should be noted that although our study was carried out in a different population than most of the previous reports, the results were similar anyway, highlighting the importance of amyloid imaging as a determining factor for clinical decisions. A particularly interesting finding was the association between a low level of formal education and the change in diagnosis after PET imaging. Previous studies have described that dementia diagnosis may be challenging in individuals with low literacy. Low education can affect the formal testing of cognitive performance and motor skills (–). It is therefore likely that these patients might benefit more from the inclusion of biomarkers in their diagnostic workup, because of difficulties that may arise in clinical and neuropsychological assessment due to the low education level (, ). Change in diagnosis was also associated with baseline non-AD classification, but this result should be taken carefully since the vast majority of our patients had a previous AD diagnosis. When evaluating the change in diagnostic dilemma after PET, an association with Non-AD diagnosis was also found.
We observed a 45.7% change in AD treatment after PET. Other authors have reported similar values, with associations with PIB discordance that were not significant in our analysis (, ). Recently, Rabinovici et al. reported results of the multicenter IDEAS study that included 13.444 patients evaluated with amyloid PET in the USA. They described a change in patient management in 60.2% of the patients with MCI and 63.5% of the patients with AD, mostly related with specific drug treatment, which changed in 43.6% of patients with MCI and 44.9% of patients with dementia ().
Even though only nine countries in the LAC region have cyclotrons for the production of radiotracers, the access to PET in the region has improved in the last few years, with an annual growth of ~21% (, ). Access to amyloid tracers has also improved and the proposed A-T-N criteria are increasingly being applied to classify the patients in research studies (, , –44). Regarding the clinical utility of amyloid PET, Chrem Mendez et al. described 76.2% concordance of 11C-PIB PET with baseline diagnosis in patients with AD, and a range of concordance of 54.5–100% in other forms of cognitive impairment (). It is important to emphasize on the complementary role of 18F-FDG and 11C-PIB in the diagnosis of patients with dementia, since the patterns of hypometabolism on the 18F-FDG scan can help to distinguish between different clinical entities in amyloid negative patients. This issue has been recently addressed in our region by Coutinho et al. () and Parmera et al. (44). A single 18F-FDG PET scan can be enough to provide an accurate diagnosis when a disease-specific hypometabolic pattern is identified, avoiding the need for more expensive techniques like amyloid PET.
The main limitation of our study is the sample size, mostly affecting the subgroup of Non-AD patients. Also, our sample did not include patients with other forms of cognitive impairment at baseline diagnosis, like non-amnestic MCI, vascular dementia, atypical parkinsonism or Parkinson's dementia, in which 18F-FDG or amyloid PET have proved useful for clinical characterization (45, 46). Another limitation is the lack of availability of tau biomarkers that are currently under development in our center. Nevertheless, several publications from other authors included similar sample sizes and the literature from developing countries is still very limited. Racial/ethnic disparities can influence dementia risk and care. The inclusion of underrepresented populations in dementia science represents an urgent need for diverse perspectives to protect public health (47). This constitutes the main strength of our work.
The results presented provide important information about the clinical impact of PET studies in developing countries. New prospective studies including larger populations are needed to evaluate the efficacy of these techniques in this setting. Comparison with other biomarkers and cost-effectiveness analysis will be needed for the inclusion of these tools in the diagnostic algorithms of patients with dementia taking into account the optimization of available resources.
Statements
Data availability statement
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.
Ethics statement
The studies involving human participants were reviewed and approved by Comité de Ética del Centro Uruguayo de ImagenologÃa Molecular. The patients/participants provided their written informed consent to participate in this study.
Author contributions
AD and RF conception and design of the research. AD, FP, AQ, KB, and NN data collection. AD, RF, and FP statistical analysis, creation of the tables, figures, and writing of the manuscript. AD, FP, AQ, NN, KB, OA, and RF reviewed the manuscript and approved the final version. All authors contributed to the article and approved the submitted version.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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Summary
Keywords
PET, Alzheimer's, amyloid, dementia, neuroimaging, biomarkers, clinical diagnosis, impact
Citation
Damian A, Portugal F, Niell N, Quagliata A, Bayardo K, Alonso O and Ferrando R (2021) Clinical Impact of PET With 18F-FDG and 11C-PIB in Patients With Dementia in a Developing Country. Front. Neurol. 12:630958. doi: 10.3389/fneur.2021.630958
Received
18 November 2020
Accepted
06 April 2021
Published
04 May 2021
Volume
12 - 2021
Edited by
Maira Okada de Oliveira, University of São Paulo, Brazil
Reviewed by
Arun Bokde, Trinity College Dublin, Ireland; Nilton Custodio, Peruvian Institute of Neurosciences (IPN), Peru
Updates
Copyright
© 2021 Damian, Portugal, Niell, Quagliata, Bayardo, Alonso and Ferrando.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Andres Damian andres.damian@cudim.org
This article was submitted to Dementia and Neurodegenerative Diseases, a section of the journal Frontiers in Neurology
Disclaimer
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