Dopamine transporter imaging and SPECT in diagnostic work-up of Parkinson's disease: A decision-analytic approach

Evaluating dopamine transporter imaging as an enrichment biomarker in a phase 2 Parkinson's disease trial

BACKGROUND

Dopamine transporter single-photon emission computed tomography (DaT-SPECT) can quantify the functional integrity of the dopaminergic nerve terminals and has been suggested as an imaging modality to verify the clinical diagnosis of Parkinson's disease (PD). Depending on the stage of progression, approximately 5-15% of participants clinically diagnosed with idiopathic PD have been observed in previous studies to have normal DaT-SPECT patterns. However, the utility of DaT-SPECT in enhancing early PD participant selection in a global, multicenter clinical trial of a potentially disease-modifying therapy is not well understood.

METHODS

The SPARK clinical trial was a phase 2 trial of cinpanemab, a monoclonal antibody against alpha-synuclein, in participants with early PD. DaT-SPECT was performed at screening to select participants with DaT-SPECT patterns consistent with degenerative parkinsonism. Acquisition was harmonised across 82 sites. Images were reconstructed and qualitatively read at a central laboratory by blinded neuroradiologists for inclusion prior to automated quantitative analysis.

RESULTS

In total, 482 unique participants were screened between January 2018 and May 2019; 3.8% (15/398) of imaged participants were excluded owing to negative DaT-SPECT findings (i.e., scans without evidence of dopaminergic deficit [SWEDD]).

CONCLUSION

A smaller proportion of SPARK participants were excluded owing to SWEDD status upon DaT-SPECT screening than has been reported in prior studies. Further research is needed to understand the reasons for the low SWEDD rate in this study and whether these results are generalisable to future studies. If supported, the radiation risks, imaging costs, and operational burden of DaT-SPECT for enrichment may be mitigated by clinical assessment and other study design aspects.

TRIAL REGISTRATION

ClinicalTrials.gov identifier: NCT03318523 . Date submitted: October 19, 2017. First Posted: October 24, 2017.

[Recommendation for the differentiated use of nuclear medical diagnostic for parkinsonian syndromes]

The present work provides an overview of the various nuclear medicine methods in the diagnosis of neurodegenerative parkinsonian syndromes and their respective evidence and is intended to enable practical decision-making aids in the application and interpretation of the methods and findings. The value of the procedures differs considerably in relation to the two relevant diagnostic questions. On the one hand, it is the question of whether there is a neurodegenerative parkinsonian syndrome at all, and on the other hand the question of which one. While the DAT-SPECT is undisputedly the method of choice for answering the first question (taking certain parameters into account), this method is not suitable for answering the second question. To categorise parkinsonian syndromes into idiopathic (i. e. Parkinson´s disease) or atypical, various procedures are used in everyday clinical practice including MIBG scintigraphy, and FDG-PET. We explain why FDG-PET currently is not only the most suitable of these methods to differentiate an idiopathic parkinsonian syndrome, from an atypical Parkinson's syndrome, but also enables sufficiently valid to distinguish the various atypical neurodegenerative Parkinson's syndromes (i. e. MSA, PSP and CBD) from each other and therefore should be reimbursed by health insurances.

Nuclear Imaging in the Diagnosis of Clinically Uncertain Parkinsonian Syndromes

BACKGROUND

Parkinsonian syndromes are classified by etiology mainly on clinical grounds, that is, on the basis of the clinical manifestations and with the aid of conventional ancillary studies. In most cases, the clinical diagnosis is clear. In up to 30% of cases, however, the etiological classification remains uncertain after completion of the basic clinical diagnostic evaluation, and additional investigation with nuclear imaging may be indicated. In particular, cerebral single-photon emission computed tomography (SPECT) with dopamine transporter (DAT) ligands may be helpful. DAT-SPECT can be used to demonstrate or rule out nigrostriatal degeneration and thereby differentiate neurodegenerative parkinsonian syndromes from symptomatic parkinsonian syndromes and other differential diagnoses. Positron emission tomography (PET) with the glucose analogue [18F]fluorodeoxyglucose (FDG) can be used to identify disease-specific patterns of neuronal dysfunction/degeneration in order to differentiate the various neurodegenerative parkinsonian syndromes from one another.

METHODS

In this review, we summarize the current state of the evidence on DAT-SPECT and FDG-PET for the indications mentioned above on the basis of a selective review of the literature.

RESULTS

DAT-SPECT has been adequately validated as an in vivo marker for nigrostriatal degeneration. Studies using the clinical diagnosis of a movement disorders specialist over the course of the disease as a reference have shown that DAT- SPECT is 78-100% sensitive (median, 93%) and 70-100% specific (median, 89%) for the differentiation of neurodegenerative parkinsonian syndromes from symptomatic parkinsonism and other differential diagnoses in clinically unclear cases. DAT- SPECT scanning led to a change of diagnosis in 27-56% of patients (median, 43%) and to a change of treatment in 33-72% (median, 43%). FDG-PET enables the differentiation of atypical neurodegenerative parkinsonian syndromes from the idiopathic parkinsonian syndrome (i.e., Parkinson's disease proper) with high sensitivity and specificity (both approximately 90%), when the clinical diagnosis by a movement disorders specialist over the course of the disease is used as a reference.

CONCLUSION

DAT-SPECT has been well documented to be highly diagnostically accurate and to have a relevant influence on the diagnosis and treatment of patients with clinically uncertain parkinsonian or tremor syndrome. It has not yet been shown to improve patient-relevant endpoints such as mortality, morbidity, and health-related quality of life; proof of this will probably have to await the introduction of neuroprotective treatments. The current evidence for the high differential diagnostic accuracy of FDG-PET in neurodegenerative parkinsonian syndromes needs to be reinforced by prospective studies with neuropathological verification of the diagnosis.

What a neurologist should know about PET and SPECT functional imaging for parkinsonism: A practical perspective

The diagnosis of a parkinsonian syndrome based on clinical criteria remains sometimes difficult, especially at disease onset. Brain or heart molecular imaging techniques (SPECT or PET) can provide a major help to improve and speed up diagnosis, influencing treatment strategies. Presynaptic dopaminergic imaging using either [¹⁸F]-Dopa PET or ¹²³I -2β-Carbomethoxy-3β-(4-Iodophenyl)- N-(3-Fluoropropyl) Nortropane ([¹²³I]-Ioflupane)SPECT demonstrates or rules out the presence of a dopaminergic degenerative process. This allows to distinguish Parkinson's disease, Parkinson "plus" syndromes and dementia with Lewy bodies (reduced radiotracers binding) from essential tremor, psychogenic, post-neuroleptic or vascular parkinsonisms, dopa-responsive dystonia and Alzheimer's disease (normal radiotracers binding). For differential diagnosis between Parkinson's disease and Parkinson "plus" syndromes, brain molecular imaging with [¹⁸F]-Fluorodeoxyglucose ([¹⁸F]-FDG) PET or ^99mTc-HMPAO SPECT can provide useful information, whereas [¹⁸F]-Dopa PET or [¹²³I]-Ioflupane does not separate these entities. Finally, sympathetic cardiac [¹²³I]-Metaiodobenzylguanidine ([¹²³I]-MIBG) scintigraphy or SPECT can help distinguishing Parkinson's disease and dementia with Lew bodies (decreased binding) from multiple system atrophy and progressive supranuclear palsy (normal binding). New radiotracers notably those targeting the pathological process itself such as Tau aggregates are under development and may provide interesting informations to delineate the different Parkinson "plus" syndromes.

Dopamine Transporter Imaging has no Impact on Functional Outcomes in de Novo Probable Parkinson's Disease

BACKGROUND

Parkinson's disease (PD) is among the most prevalent neurodegenerative conditions. While motor and non-motor aspects of this disease have been well characterized, no objective biomarker exists to support an accurate clinical diagnosis. However, newer imaging techniques, including [123I]-FP-CIT (DaTSCAN), have demonstrated utility in differentiating between PD and non-neurodegenerative tremor disorders.

OBJECTIVE

DaTSCAN has been primarily investigated in situations where diagnostic confusion exists, and in these instances has been shown to significantly impact clinical management. The goal of this pilot study was to evaluate the impact of DaTSCAN on the clinical management of patients with early probable PD, where no diagnostic uncertainty exists.

METHODS

This was a prospective, 54-week, comparative pilot study, in which twenty subjects with de novo PD were randomly assigned to DaTSCAN either immediately upon diagnosis (and again at 6 and 12 months) or delayed to 6 months (and again at 12 months). The primary outcome measure was the frequency of deviation from the initial treatment plan from baseline to 54 weeks between the two groups. Secondary outcomes included motor and non-motor assessments.

RESULTS

There was no significant difference in the number of treatment changes over the course of the study between the two groups: initial imaging group = 4.2 (SD:2.74) vs. delayed imaging group = 2.3 (SD:2.0, p = 0.11). In addition, there were no group differences in medication requirements, motor performance, or patient expectations of disease.

CONCLUSIONS

In patients with early, probable PD, DaTSCAN contributes no additional impact on clinical management or functional outcomes when added to the diagnostic algorithm.

Distinguishing Parkinson's disease from atypical parkinsonian syndromes using PET data and a computer system based on support vector machines and Bayesian networks

Differentiating between Parkinson's disease (PD) and atypical parkinsonian syndromes (APS) is still a challenge, specially at early stages when the patients show similar symptoms. During last years, several computer systems have been proposed in order to improve the diagnosis of PD, but their accuracy is still limited. In this work we demonstrate a full automatic computer system to assist the diagnosis of PD using ¹⁸F-DMFP PET data. First, a few regions of interest are selected by means of a two-sample t-test. The accuracy of the selected regions to separate PD from APS patients is then computed using a support vector machine classifier. The accuracy values are finally used to train a Bayesian network that can be used to predict the class of new unseen data. This methodology was evaluated using a database with 87 neuroimages, achieving accuracy rates over 78%. A fair comparison with other similar approaches is also provided.

Patient Survey on Satisfaction and Impact of 123I-Ioflupane Dopamine Transporter Imaging

Patients were surveyed to assess the impact of dopamine transporter imaging on diagnostic confidence, change in treatment plan, effect on medication compliance, and subjective well-being. Surveys were sent to 140 patients who completed dopamine transporter imaging an average of 18 months prior. Sixty-five surveys from patients (46%) were returned. Questions assessed patients’ perceived impact of the imaging on their care. Increased diagnostic confidence following imaging was reported by 69% of patients. Changes to treatment plan from imaging were reported by 24% of patients. Overall satisfaction with the study and its impact was reported by 70% of patients. Dopamine transporter imaging increased diagnostic confidence among patients and overall patient satisfaction with the impact of imaging on clinical care was high.

Clinical routine use of dopamine transporter imaging in 516 consecutive patients

[(123)I]-FP-CIT is a single photon emission computed tomography (SPECT) ligand showing in vivo the loss of dopaminergic terminals in the brain and is now available in the market. Despite several systematic studies in clinically inconclusive cases, the use of such imaging in clinical routine is scarcely reported. We analyzed 516 files of subjects with movement disorders who were consecutively examined using [(123)I]-FP-CIT scan and determined whether the use of imaging was appropriate and if it improved clinical diagnosis or care of the patient. In addition, we determined if appropriate use was related to subspecialties in Neurology, e.g., movement disorders' specialists vs. general neurologists, and if appropriate use was increasing over time. Among the 516 scans, 18% were in agreement with the license, 62% were classified as appropriate and 37% were considered inappropriate. A change of management was obvious in 60% of patients, but in 92% of those with an appropriate request vs. 13% of patients with an inappropriate request. Movement disorders' specialists had more appropriate requests than other practitioners. Eventually, comparing the first 100 vs. the last 100 quantified SPECT, performed more than 2.5 years apart, we found no difference for the appropriateness of the examination. The use of [(123)I]-FP-CIT imaging in clinical routine does not fit a restrictive license. An inappropriate use is seen in nearly 40% of cases, which reduces the real cost-effectiveness of the technique suggesting a need for continuing medical education on the topic.

Neuroimaging biomarkers for Parkinson disease: facts and fantasy

In this grand rounds, we focus on development, validation, and application of neuroimaging biomarkers for Parkinson disease (PD). We cover whether such biomarkers can be used to identify presymptomatic individuals (probably yes), provide a measure of PD severity (in a limited fashion, but frequently done poorly), investigate pathophysiology of parkinsonian disorders (yes, if done carefully), play a role in differential diagnosis of parkinsonism (not well), and investigate pathology underlying cognitive impairment (yes, in conjunction with postmortem data). Along the way, we clarify several issues about definitions of biomarkers and surrogate endpoints. The goal of this lecture is to provide a basis for interpreting current literature and newly proposed clinical tools in PD. In the end, one should be able to critically distinguish fact from fantasy.

Neuroimaging in Parkinson disease: from research setting to clinical practice

Over the past three decades, neuroimaging studies-including structural, functional and molecular modalities-have provided invaluable insights into the mechanisms underlying Parkinson disease (PD). Observations from multimodal neuroimaging techniques have indicated changes in brain structure and metabolic activity, and an array of neurochemical changes that affect receptor sites and neurotransmitter systems. Characterization of the neurobiological alterations that lead to phenotypic heterogeneity in patients with PD has considerably aided the in vivo investigation of aetiology and pathophysiology, and the identification of novel targets for pharmacological or surgical treatments, including cell therapy. Although PD is now considered to be very complex, no neuroimaging modalities are specifically recommended for routine use in clinical practice. However, conventional MRI and dopamine transporter imaging are commonly used as adjuvant tools in the differential diagnosis between PD and nondegenerative causes of parkinsonism. First-line neuroimaging tools that could have an impact on patient prognosis and treatment strategies remain elusive. This Review discusses the lessons learnt from decades of neuroimaging research in PD, and the promising new approaches with potential applicability to clinical practice.

Costs of diagnosing dementia: results from SveDem, the Swedish Dementia Registry

OBJECTIVE

Diagnostic of different dementia disorders is an important part of dementia care. So far, there is limited knowledge about how dementia is diagnosed in clinical routine, and there are few reports on the costs of the dementia work-up leading to a diagnosis. Here, we examine the costs of diagnostic dementia work-up in Sweden.

METHODS

The analyses were made on the data from the Swedish Dementia Registry (SveDem) and included 11,561 dementia patients diagnosed during 2007-2010, mainly not only in specialist care (SC) (n = 53) but also some primary care centres (PC). We have studied differences in the use of investigations for dementia diagnostics such as cognitive tests, blood and cerebrospinal fluid analyses, radiological examinations and assessments of functions. Unit costs for each diagnostic investigation were combined with the use of these investigations for all cases in the database. Results are presented versus gender and stratified for age.

RESULTS

The number of diagnostic tests performed was 2.8 in PC and 4.6 in SC. The average costs (€1 = SEK9 and US$1 = SEK7 in 2010) were SEK6777 in PC and SEK11,682 in SC. Age was the strongest cost predictor while there were no gender differences. There were also regional differences, ranging from SEK8231 to SEK14,734 in SC.

CONCLUSIONS

The SveDem database offers valuable information on the diagnostic procedures for dementia in daily clinical practice. The differences between PC and SC in diagnostic costs reflect national guidelines. The age effect needs to be studied more.

Nigrostriatal dopamine terminal imaging with dopamine transporter SPECT: an update

This article gives an update on nigrostriatal dopamine terminal imaging, with emphasis on SPECT performed with the presynaptic dopamine transporter (DAT) ligand (123)I-FP-CIT. The paper covers the rational use of this technique in the diagnostic work-up of patients with known or suspected parkinsonian syndromes. In detail, it addresses the impact of the method for the proof or exclusion of neurodegenerative parkinsonism, for its early and preclinical diagnosis, and for the evaluation of disease progression. The importance of normal DAT binding for differentiating symptomatic parkinsonism and relevant tremor syndromes from neurodegeneration is highlighted. Particularly emphasized is the role of DAT SPECT for diagnosing Lewy body dementia and its separation from Alzheimer dementia. Finally, some remarks deal with the economic aspects of the use of these imaging techniques in the clinical setting.

EFNS/MDS-ES/ENS [corrected] recommendations for the diagnosis of Parkinson's disease

BACKGROUND

A Task Force was convened by the EFNS/MDS-ES Scientist Panel on Parkinson's disease (PD) and other movement disorders to systemically review relevant publications on the diagnosis of PD.

METHODS

Following the EFNS instruction for the preparation of neurological diagnostic guidelines, recommendation levels have been generated for diagnostic criteria and investigations.

RESULTS

For the clinical diagnosis, we recommend the use of the Queen Square Brain Bank criteria (Level B). Genetic testing for specific mutations is recommended on an individual basis (Level B), taking into account specific features (i.e. family history and age of onset). We recommend olfactory testing to differentiate PD from other parkinsonian disorders including recessive forms (Level A). Screening for pre-motor PD with olfactory testing requires additional tests due to limited specificity. Drug challenge tests are not recommended for the diagnosis in de novo parkinsonian patients. There is an insufficient evidence to support their role in the differential diagnosis between PD and other parkinsonian syndromes. We recommend an assessment of cognition and a screening for REM sleep behaviour disorder, psychotic manifestations and severe depression in the initial evaluation of suspected PD cases (Level A). Transcranial sonography is recommended for the differentiation of PD from atypical and secondary parkinsonian disorders (Level A), for the early diagnosis of PD and in the detection of subjects at risk for PD (Level A), although the technique is so far not universally used and requires some expertise. Because specificity of TCS for the development of PD is limited, TCS should be used in conjunction with other screening tests. Conventional magnetic resonance imaging and diffusion-weighted imaging at 1.5 T are recommended as neuroimaging tools that can support a diagnosis of multiple system atrophy (MSA) or progressive supranuclear palsy versus PD on the basis of regional atrophy and signal change as well as diffusivity patterns (Level A). DaTscan SPECT is registered in Europe and the United States for the differential diagnosis between degenerative parkinsonisms and essential tremor (Level A). More specifically, DaTscan is indicated in the presence of significant diagnostic uncertainty such as parkinsonism associated with neuroleptic exposure and atypical tremor manifestations such as isolated unilateral postural tremor. Studies of [(123) I]MIBG/SPECT cardiac uptake may be used to identify patients with PD versus controls and MSA patients (Level A). All other SPECT imaging studies do not fulfil registration standards and cannot be recommended for routine clinical use. At the moment, no conclusion can be drawn as to diagnostic efficacy of autonomic function tests, neurophysiological tests and positron emission tomography imaging in PD.

CONCLUSIONS

The diagnosis of PD is still largely based on the correct identification of its clinical features. Selected investigations (genetic, olfactory, and neuroimaging studies) have an ancillary role in confirming the diagnosis, and some of them could be possibly used in the near future to identify subjects in a pre-symptomatic phase of the disease.

Force control deficits in individuals with Parkinson's disease, multiple systems atrophy, and progressive supranuclear palsy

Objective

This study examined grip force and cognition in Parkinson’s disease (PD), Parkinsonian variant of multiple system atrophy (MSAp), progressive supranuclear palsy (PSP), and healthy controls. PD is characterized by a slower rate of force increase and decrease and the production of abnormally large grip forces. Early-stage PD has difficulty with the rapid contraction and relaxation of hand muscles required for precision gripping. The first goal was to determine which features of grip force are abnormal in MSAp and PSP. The second goal was to determine whether a single variable or a combination of motor and cognitive measures would distinguish patient groups. Since PSP is more cognitively impaired relative to PD and MSAp, we expected that combining motor and cognitive measures would further distinguish PSP from PD and MSAp.

Methods

We studied 44 participants: 12 PD, 12 MSAp, 8 PSP, and 12 controls. Patients were diagnosed by a movement disorders neurologist and were tested off anti-Parkinsonian medication. Participants completed a visually guided grip force task wherein force pulses were produced for 2 s, followed by 1 s of rest. We also conducted four cognitive tests.

Results

PD, MSAp, and PSP were slower at contracting and relaxing force and produced longer pulse durations compared to controls. PSP produced additional force pulses during the task and were more cognitively impaired relative to other groups. A receiver operator characteristic analysis revealed that the combination of number of pulses and Brief Test of Attention (BTA) discriminated PSP from PD, MSAp, and controls with a high degree of sensitivity and specificity.

Conclusions

Slowness in contracting and relaxing force represent general features of PD, MSAp, and PSP, whereas producing additional force pulses was specific to PSP. Combining motor and cognitive measures provides a robust method for characterizing behavioral features of PSP compared to MSAp and PD.

Assessing the accuracy and reproducibility of computer-assisted analysis of (123) I-FP-CIT SPECT using BasGan (V2)

BACKGROUND AND PURPOSE

Over the last two decades (123) I-FP-CIT-SPECT, has been used to discriminate neurodegenerative Parkinsonian syndrome from other diseases. BasGan is a freely available software that assists (123) I-FP-CIT-SPECT evaluation by estimating semiquantitative values for each basal nucleus and compares the results to a database of healthy subjects. The aims of this study were: (1) to assess the accuracy of qualitative analysis and of semiquantitative, BasGan-assisted evaluations of (123) I-FP-CIT-SPECT; (2) to compare the accuracy of both methods when applied to "doubtful" cases; (3) to appreciate the reproducibility of the BasGan-assisted evaluations.

MATERIALS AND METHODS

Seventy-eight patients were included in this 4-year follow-up study. The diagnostic cut-off for semiquantitative uptake values of each basal nucleus was determined based on ROC curves analysis. Accuracy scores were calculated for the entire population and for "doubtful" cases. Intra- and interoperator reproducibility was assessed.

RESULTS

Accuracy of the software-assisted analyses was high for data from each nucleus. In "doubtful" exams accuracy was higher when using BasGan as opposed to relying solely on visual assessment. Intra- and interoperator reproducibility of the BasGan-assisted evaluations was good to excellent.

CONCLUSION

BasGan-assisted evaluations of (123) I-FP-CIT-SPECT were very useful, particularly in "doubtful" cases. Multicenter studies are mandatory before routine use of BasGan.

Modelling the cost effectiveness of treatments for Parkinson's disease: a methodological review

The objective of this review was to assess models of cost effectiveness for Parkinson's disease (PD) published after July 2002 and to derive recommendations for future modelling. A systematic literature search was performed in the databases PubMed, Current Contents, EMBASE, EconLit, the Cochrane Database of Systematic Reviews, and DARE (Database of Abstracts of Reviews of Effectiveness), NHS EED (Economic Evaluation Database) and HTA (Health Technology Assessment) of the UK NHS Centre for Review and Dissemination (July 2002 to March 2010). Only fully published studies using decision trees, Markov models, individual simulation models or sets of mathematical equations were included. Most of the 11 studies identified used Markov models (n = 9) and two employed were based on decision trees. Based on the Hoehn & Yahr (HY) scale, authors evaluated the cost effectiveness of drug treatments (n = 6), surgical approaches such as deep brain stimulation (n = 1) or striatal cell grafting (n = 1), and diagnostic procedures such as single photon emission computed tomography (SPECT) testing (n = 3) over a time horizon of 1 year to lifetime. Costs were adapted to address a societal and/or healthcare provider/third-party payer perspective. All but one of the interventions investigated were considered cost effective or cost saving. Cost-effectiveness modelling in PD between 2003 and 2010 showed only minor improvement when compared with our earlier review of models published from 1998 up to 2003. Cost-effectiveness modelling recommendations were complied with to only a limited extent, leaving room for quality improvement. More advanced modelling approaches may, so far, be under-represented, but may be used in the future, driven by the research question. Adverse events of treatment, co-morbidities or disease complications are not yet sufficiently included in the models to adequately represent clinical reality.

The use of decision-analytic models in Parkinson's disease: a systematic review and critical appraisal

The aims of this review were to review decision-analytic models used to evaluate interventions in idiopathic Parkinson's disease (PD), and to consider the future directions for development of methods to model the progression of PD over time. A systematic search of the healthcare literature up to June 2010 identified model-based economic evaluations in PD. The modelling methods used in the identified studies were appraised using good practice guidelines for decision-analytic modelling. The review identified 18 model-based evaluations of interventions in PD. All models evaluated treatments targeted towards the motor symptoms of PD or the motor complications of PD treatment. There were no models identified that evaluated interventions targeted towards the non-motor symptoms of PD, such as neuropsychiatric problems or autonomic dysfunction. Consequently, models characterized disease progression in PD using clinical measures of motor functioning. Most studies (n = 13) evaluated medications, three evaluated diagnostic technologies and two examined surgical procedures. Overall, the models reported structural components and data inputs appropriately and clearly, although limited evidence was provided to support choices made on the structures used in the models or the data synthesis reported. Models did not adequately consider structural uncertainty or internal/external consistency. Modelling methods used to date do not capture the full impact of PD. The emphasis in the current literature is on the motor symptoms of PD, characterizing the clinical nature of disease progression, largely neglecting the important impacts of non-motor symptoms. Modelling methods reported for the motor symptoms of PD may not be suitable for future interventions targeted towards modifying disease progression in PD across the entire spectrum of PD. More comprehensive models of disease progression, including both motor and non-motor symptoms will be needed where it is important to capture the effects of interventions more broadly.

Adapting the Sniffin' Sticks to diagnose Parkinson's disease in Sri Lanka

Tests of odor identification might help differentiate Parkinson's disease (PD) from other causes of tremor, but they are culture and language specific and are not currently available for the population of Sri Lanka. We created a Sinhala adaptation of the 16-item identification test from Sniffin' Sticks (SS-16) and applied it to 89 nondemented Sri Lankan PD patients and 100 controls. Twelve of the SS-16 items were correctly identified by at least 50% of the control subjects and were included in a battery, which we called as Colombo SS-12. We used the diagnosis (PD or control) as outcome variable for a logistic regression using age, gender, smoking status and the SS-12 as covariates, and found only the last two were significant covariates. The Colombo SS-12 specificity was 93.0% with a sensitivity of 91.0%, indicating it could be a helpful tool in the diagnosis of PD in Sri Lanka.

Impact of dopamine transporter single photon emission computed tomography imaging using I-123 ioflupane on diagnoses of patients with parkinsonian syndromes

To assess the impact of I-123 ioflupane single photon emission computed tomography (SPECT) imaging on classifying patients with striatal dopaminergic deficits. Sixty-one patients with an initial diagnosis of parkinsonism or uncertain tremor disorder were screened and followed-up for one year. All patients were re-examined by two neurologists at our centre and were classified as having neurodegenerative or non-neurodegenerative disorders. Patients underwent I-123 ioflupane SPECT imaging. SPECT studies were blindly evaluated and classified as normal or abnormal (indicative of neurodegenerative disorders). The overall agreement of the SPECT imaging results with the initial classification was 65.6% (kappa=0.229, p=0.074) but was 90.2% (kappa=0.782, p<0.001) with the classification of the neurologists at our centre. I-123 ioflupane SPECT imaging is a valuable method in the evaluation of patients presenting clinically with uncertain parkinsonian syndromes or for whom diagnostic doubt exists.

Role of DAT-SPECT in the diagnostic work up of parkinsonism

The diagnosis of idiopathic Parkinson's disease (PD) can be achieved with high degrees of accuracy in cases with full expression of classical clinical features. However, diagnostic uncertainty remains in early disease with subtle or ambiguous signs. Functional imaging has been suggested to increase the diagnostic yield in parkinsonian syndromes with uncertain clinical classification. Loss of striatal dopamine nerve terminal function, a hallmark of neurodegenerative parkinsonism, is strongly related to decreases of dopamine transporter (DAT) density, which can be measured by single photon emission computed tomography (SPECT). The use of DAT-SPECT facilitates the differential diagnosis in patients with isolated tremor symptoms not fulfilling PD or essential tremor criteria, drug-induced, psychogenic and vascular parkinsonism as well as dementia when associated with parkinsonism. This review addresses the value of DAT-SPECT in early differential diagnosis, and its potential as a screening tool for subjects at risk of developing PD as well as issues around the assessment of disease progression.

Possible impact of dopamine SPECT on decision-making for drug treatment in Parkinsonian syndrome

Single-photon emission computed tomography (SPECT) markers allow measuring the integrity of the brain dopaminergic system in vivo. We used dopamine transporter (DAT) SPECT with [(123)I]FP-CIT and dopamine D(2)/D(3) receptor SPECT with [(123)I]IBZM to evaluate whether there is a reduction of DAT and/or D(2)/D(3) receptor SPECT in treated and untreated patients with Parkinsonian syndrome (PS). We found that almost a quarter of our patients treated with anti-Parkinsonian medication prior to SPECT imaging did not show evidence of a presynaptic dopaminergic deficit while 37% of untreated patients were diagnosed as having Parkinson's disease. 17% of treated patients had additional loss of D(2)/D(3) receptor binding capacity in concordance with the clinical follow-up diagnoses of multiple system atrophy, progressive nuclear palsy, and vascular Parkinsonism. Apart from 38% clinically uncertain cases, SPECT was in concordance with 75% of initial clinical diagnoses. 25% were reclassified as indicated by SPECT findings and confirmed by a 1.5-year clinical follow-up. We conclude that dopamine SPECT may support establishing or refuting the clinical diagnosis and, therefore, help to make the decision for or against dopaminomimetic treatment in cases with PS.