The role of radiotracer imaging in Parkinson disease
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Abstract
Radiotracer imaging (RTI) of the nigrostriatal dopaminergic system is a widely used but controversial biomarker in Parkinson disease (PD). Here the authors review the concepts of biomarker development and the evidence to support the use of four radiotracers as biomarkers in PD: [18F]fluorodopa PET, (+)-[11C]dihydrotetrabenazine PET, [123I]β-CIT SPECT, and [18F]fluorodeoxyglucose PET. Biomarkers used to study disease biology and facilitate drug discovery and early human trials rely on evidence that they are measuring relevant biologic processes. The four tracers fulfill this criterion, although they do not measure the number or density of dopaminergic neurons. Biomarkers used as diagnostic tests, prognostic tools, or surrogate endpoints must not only have biologic relevance but also a strong linkage to the clinical outcome of interest. No radiotracers fulfill these criteria, and current evidence does not support the use of imaging as a diagnostic tool in clinical practice or as a surrogate endpoint in clinical trials. Mechanistic information added by RTI to clinical trials may be difficult to interpret because of uncertainty about the interaction between the interventions and the tracer.
Parkinson disease and the search for biomarkers.
There are several potential uses of biomarkers in Parkinson disease (PD). Biomarkers could be used to diagnose PD, assess prognosis, and assist in therapy development. There is particular interest in using biomarkers in clinical trials of potentially neuroprotective agents. It is hoped that biomarkers may supplement existing clinical measures and provide information about the disease process or intervention.
Radiotracer imaging (RTI) of the nigrostriatal dopaminergic system with PET- and SPECT-based ligands has become a prominent biomarker in PD, but the interpretation of imaging data is controversial. Here we review the concepts of biomarker development, summarize the evidence available to support imaging as a biomarker in PD, and describe the types of studies and study designs that would facilitate the validation of putative biomarkers in PD.
Biomarkers and surrogate endpoints (SEs): Definitions and working concepts.
A biologic marker or biomarker is a characteristic that is objectively measured and evaluated as an indicator of normal biologic processes, pathogenic processes, or pharmacologic responses to a therapeutic intervention. Biomarkers have multiple uses in clinical research and clinical care that may be thought of in five categories1:
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Biomarkers may be used to measure the biologic activity of a disease. Used in this way, the biomarker alone may not be sufficient as a diagnostic tool or a predictor of future clinical outcomes but may provide useful information about the disease process.
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Biomarkers may be used as diagnostic tools or to determine risk and prognosis. Examples of diagnostic biomarkers include blood glucose in diabetes or anti-acetylcholine receptor antibodies in myasthenia gravis. Prognostic uses of biomarkers include carotid arteriography to measure the degree of carotid stenosis and risk of stroke.
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Biomarkers may be used in therapy development and evaluation to provide information about an intervention’s mechanism or biologic activity in in vitro models, animal studies, or early human clinical trials. As the intervention is evaluated further and evidence of efficacy is sought in later phase clinical trials, the activity measured by the marker is increasingly understood by its relationship to clinical outcomes.
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SEs are a subset of biomarkers intended to substitute for clinical endpoints (CEs). A CE reflects how a patient feels, functions, or survives2 and may be distinct events such as a stroke, seizure, or fall, or clinical assessments and ratings such as muscle strength testing or disability scales. Informative CEs have intrinsic or widely accepted meaning. Linking the biomarker to the CE provides the rationale for clinical decision making. An SE must be highly likely to predict the CE that it is replacing. Much attention has focused on the role of SEs in clinical trials because of the potential for shorter, less expensive trials.1,3 Blood pressure is used as a surrogate for antihypertensive therapies to substitute for more slowly evolving CEs such as cardiovascular morbidity and mortality.
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Biomarkers can be used to guide treatment options and monitor responses to therapy. This usually occurs once the biomarker has been shown to offer prognostic information and/or predict the risks or benefits of therapy with a particular intervention. Examples of biomarkers used to monitor response to therapy include blood pressure measurement in the management of hypertension or internationalized normalized ratio with warfarin in atrial fibrillation.
RTI in PD has the potential to meet one or more of the applications of biomarkers described. Two uses of the biomarkers listed, understanding disease biology and preclinical or early clinical evaluation of interventions, rely on the biologic relevance of the biomarker. The other uses of biomarkers require biologic relevance and a strong statistical relationship to important CEs. Here we describe what biologic processes these radiotracers measure and the evidence relating these measures to CEs.
What does RTI measure in PD?
Four commonly used radiotracer techniques are reviewed: three techniques relating to central dopamine processing, [18F]fluorodopa (F-dopa) PET, (+)- [11C]dihydrotetrabenazine (DTBZ) PET, and [123I]β-CIT (B-CIT) SPECT, and [18F]fluorodeoxyglucose (FDG) PET, a nondopaminergic-based technique that looks more broadly at brain metabolism.
The biologic process.
Each tracer measures one or more aspect of dopaminergic/monoaminergic nerve terminal function. F-dopa PET reflects the uptake and conversion of fluorodopa to fluorodopamine, but this process involves several steps. After IV administration, F-dopa traverses the blood-brain barrier via the large neutral amino acid transporter, is taken up into neurons by an active transport system, and is converted to fluorodopamine by aromatic acid decarboxylase (AADC), which may become the rate-limiting step in dopamine synthesis in dopaminergic and noradrenergic neurons. F-dopa uptake has been correlated with counts of nigral neurons in 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP)-treated monkeys as well as levels of dopamine in the striatum.4 There is a correlation (r = 0.84) between F-dopa uptake and subsequent nigral cell count in humans, although only one of the seven subjects had PD, and it is in PD that compensatory changes might be most likely to occur that would potentially reduce this correlation.5 F-dopa uptake is not thought to be a direct measure of nigral cell count, but a measure of AADC activity in those cells.
The type 2 vesicular monoamine transporter (VMAT2) is the protein responsible for pumping monoamines from the cytosol into synaptic vesicles and is distinct from VMAT1, which is found in the adrenal medulla. DTBZ PET is therefore intended to measure synaptic vesicles containing monoamines (dopamine, serotonin, norepinephrine, histamine).6 In the striatum, more than 95% of VMAT2 is associated with dopaminergic terminals.7 Newly synthesized as well as recovered dopamine is present in these vesicles. The vesicles prevent catabolism of the neurotransmitters and store them for subsequent exocytotic release into the synaptic cleft. Reduced DTBZ binding has been shown in rodent models of PD8 and in PD brains compared with control brains.9
There are several dopamine transporter (DAT) markers, but B-CIT SPECT has been used in large clinical trials and is the focus of discussion. DAT is specific to dopaminergic neurons. Dopamine reuptake through the DAT is the primary mechanism of dopamine removal from the region of the synaptic cleft, and thus DAT expression is regulated at several levels.10 B-CIT, which is a tropane derivative, binds to the DAT and with lower affinity to the serotonin transporter. There is evidence that DAT mirrors the decline in levels of striatal dopamine in MPTP-treated monkeys11 and that DAT expression within dopaminergic neurons is reduced in PD brains compared with controls.12,13
Nigrostriatal dopaminergic function can be indirectly assessed with metabolic imaging using FDG PET, a marker of resting glucose utilization. Multivariate analysis of regional patterns seen with FDG PET can identify specific metabolic brain networks associated with PD. This is an exploratory approach to analyzing imaging data that has been less widely studied than the other techniques. This technique is based on principal component analysis and allows identification of disease-related patterns of regional metabolic covariation (i.e., brain networks) and quantification of pattern expression (i.e., network activity) in individual subjects.14 This is not the only way to analyze FDG PET data, but this method yields a PD-related pattern (PDRP) that is characterized by pallidal and thalamic hypermetabolism and metabolic decrements in the lateral premotor cortex, the supplementary motor area, the dorsolateral prefrontal cortex, and the parietooccipital association regions. This technique, unlike the three ligands, does not assess specific aspects of dopaminergic neurons but rather network activity related to dopaminergic function. Expression of the PDRP correlates with F-dopa PET15 and is modulated by dopaminergic therapy.16
Each of these neuroimaging techniques measures one or more functions of dopaminergic neurons. Although the precise causes of sporadic PD remain unknown, the nigrostriatal dopaminergic system has been the traditional focus of both diagnostic criteria and therapeutic interventions in PD. The face validity of current radiotracers supports their use as biomarkers. However, these techniques do not assess the number or density of nigral dopaminergic neurons, and measurements derived from these tracer uptake studies do not directly measure the biologic processes under study in the same way as in vitro studies using tissue samples. All these imaging methods require simplifying assumptions for data acquisition and analysis and can be affected by factors other than the primary biologic process under study. Therefore, the correspondence between tracer uptake and tissue biology will always be imperfect.
Loss of nigrostriatal dopaminergic neurons and changes in their function is central to PD, but nigral cell loss is just one of several steps on the pathway to clinical symptoms. At the proximal end of the pathway are the suspected inciting and perpetuating causes of PD, such as oxidative stress, mitochondrial dysfunction, proteasome dysfunction, and protein aggregation.17 These processes eventually lead to nigrostriatal dysfunction and cell death. Braak et al.18 have inferred an ascending pattern to the evolution of PD-related pathology. Stages 1 and 2 involve structures of the olfactory system and brainstem nuclei (the dorsal IX/X motor nucleus and reticular zone and caudal raphe and locus ceruleus complex), stage 3 involves midbrain and nigral pathology, and stages 4 and 5 with 6 show expanding areas of cortical involvement. Early and later stages involve primarily nondopaminergic systems. Predominantly nondopaminergic symptoms such as depression, cognitive impairment, and postural instability are major contributors to disability in PD19,20 but may not be captured by dopamine-related tracers. Dopamine trafficking in nigral cells is an important component of PD and may reflect or parallel the burden of disease in other areas of the brain, but the temporal evolution of PD suggests a more complicated relationship of different brain regions to clinical symptoms.21
Uses of RTI in PD clinical research.
1) Explore biology and evolution of disease.
The three dopaminergic ligands have been evaluated in several natural history studies. These studies demonstrate the evolution of nigrostriatal dopaminergic function and its relationship to the clinical features of PD. For this discussion, we consider natural history studies to be either cross-sectional or longitudinal studies in any stage of PD, including treated natural history studies but not those involving experimental interventions.
Two dopaminergic techniques show statistically significant negative correlations of striatal uptake with motor function as assessed by the Unified Parkinson’s Disease Rating Scale (UPDRS) in the practically defined “off” state: F-dopa, r = −0.6822 and B-CIT, r = −0.48 to −0.81 (a negative correlation because higher UPDRS scores reflect more severe PD and correspond to lower uptake).23,24 DTBZ binding is not significantly correlated with “off” UPDRS scores but is significantly correlated with duration of PD (r = 0.53) and Schwab and England Activities of Daily Living scales (r = 0.38) (Roger Albin, personal communication, 2003).
In longitudinal studies, F-dopa PET and B-CIT SPECT show a 4% to 13% yearly reduction in baseline putamen uptake compared with 0 to 2.5% in healthy controls.25,26 Extrapolations from linear regression analysis of F-dopa PET imaging have been used to estimate the duration of the preclinical period of PD.27,28 For DTBZ, one study has shown a 6.3% change in PD versus a 1.7% change in controls over 2 years (Roger Albin, personal communication, 2003). Importantly, change over time in these studies is expressed as a percentage from an already reduced baseline. Thus, the absolute change compared with normal would be smaller. The estimated correlation coefficient between PDRP network expression and the “off” state UPDRS is approximately 0.8.16,29
Natural history studies for each radiotracer have had small sample sizes, but the results are consistent. This suggests that these tracers measure biologic processes that are related to the duration and severity of PD as measured by motor rating scales in the practically defined “off” state. Each of these techniques measures an aspect of dopaminergic function, none of which individually conveys the overall function of dopaminergic neurons. In fact, a study comparing F-dopa, a DAT ligand, and DTBZ in the same PD subjects showed evidence of relative upregulation of AADC and downregulation of DAT. These findings are consistent with the idea that surviving neurons would synthesize more dopamine and take up less dopamine from the synaptic cleft.30
2) Studies of diagnosis and prognosis.
For diagnostic or prognostic use, a biomarker must determine true disease status or predict an important clinical outcome. Diagnostic studies performed with the four tracers have generally shown differences between groups of people with PD compared with healthy controls or patients with essential tremor (ET). The ability to distinguish groups of typical PD subjects versus normal controls has been shown for FDG PET,31 DTBZ PET,32 F-dopa PET,33 and B-CIT SPECT.34 Studies of B-CIT SPECT with blinded readings report diagnostic sensitivity of greater than 95% and specificity of 83% to 100% for clinically probable PD compared with ET.34–36 None of these techniques reliably distinguishes idiopathic PD from multiple system atrophy (MSA) or other forms of atypical PD. Preliminary data suggest that FDG PET can potentially distinguish these groups using a discriminant function analysis,37,38 and this approach is being validated prospectively (David Eidelberg, personal communication, 2003). Additionally, some groups have reported the ability to discriminate PD from MSA and related disorders based on diminished striatal D2 receptor binding.39
Most diagnostic studies have been conducted in small, single-center studies, with variable procedures for blinding readings of the scans. These studies have evaluated only clinically probable cases of PD and used clinical examinations as the gold standard. Few studies include cases in which there was true diagnostic uncertainty to see whether imaging predicts subsequent clinical diagnosis. A recent study showed that quantitative analysis of imaging with B-CIT and SPECT was able to identify subjects with Parkinson syndromes (PD, MSA, progressive supranuclear palsy) in whom there was initial diagnostic uncertainty on the part of the primary neurologist. When compared with the judgment of an expert movement disorders clinician 6 months after the initial visit, imaging showed 92% sensitivity and 100% specificity for Parkinson syndromes in 35 subjects.40 Overall, however, the application of these tests in the setting of diagnostic uncertainty is not known. Distinguishing groups, such as PD and ET, is an early demonstration of the utility of a diagnostic test. Further studies must show adequate sensitivity, specificity, positive and negative predictive values, and likelihood ratios. These studies should be conducted in the target population in which the test is intended to be used and must show that the clinical application of the test is useful in changing the care of patients and/or reducing costs.
Clinical experience suggests that judicious use of DAT imaging in the setting of diagnostic uncertainty may be useful in the hands of the movement disorders specialist, but this has yet to be confirmed by a prospective study. Although there is increasing use of diagnostic imaging by investigators, currently it is not recommended that DAT and other tracers be used routinely in the diagnosis of PD or other parkinsonian syndromes.
3) Therapy development and evaluation.
In early drug development, RTI may be used to assess blood-brain barrier penetration, dose-related occupancy at the site of interest, selectivity for the target, and distribution and kinetics of the compound. Responsiveness to or regulation by dopaminergic agents would be an asset in answering these types of questions, and RTI might assist in the selection of active compounds for further clinical studies. The four tracers described here have not been used for early drug development in this way. However, the potential is clear and there are examples relevant to PD, such as the D2 ligand [11C]raclopride that has been used in developing atypical neuroleptics.41
Several Phase III and IV clinical trials have used imaging with F-dopa PET or B-CIT SPECT as a primary or secondary outcome (table 1). These clinical trials demonstrate the uses of imaging in the later phases of therapy development. They also show the relationship of RTI to CEs in different patient populations and with different interventions.
Table 1 Phase III and IV clinical trials using imaging in PD
The Elldopa trial randomized 361 patients with early PD (<2 years of PD and not requiring symptomatic therapy) to placebo or one of three doses of carbidopa/levodopa: 12/50 mg TID, 25/100 mg TID, or 50/200 mg TID.42 Subjects were followed for 40 weeks on the intervention and then began a 2-week washout phase. The primary endpoint was change in “off” motor scores from baseline to week 42, with the hypothesis that levodopa might hasten the underlying progression of PD despite its control of symptoms. Subjects underwent B-CIT SPECT at baseline and week 40. All three levodopa treated arms were significantly better than placebo on the primary outcome, pre- and post-washout, although the long duration of effect of levodopa may account for some of the observed differences. Despite the clinical benefits seen with levodopa, RTI showed the opposite: a reduced rate of decline in striatal tracer uptake in the placebo group (−1.4%) compared with the three levodopa groups (−4% to −7.4%, p = 0.035).
Two clinical trials using RTI evaluated the effects of initial dopamine agonist administration versus levodopa in early PD on motor complications, UPDRS scores, and quality of life. One trial evaluated initial pramipexole versus levodopa (CALM-PD).43 In this study, a subset of patients received scans. The other trial evaluated initial ropinirole versus levodopa and all subjects received imaging (REAL-PET).44 The interpretation of the results is debated, but both trials showed that agonist-treated subjects were less likely to experience motor complications than levodopa-treated subjects.45,46 In the CALM-PD study, UPDRS scores for the full cohort were better in the levodopa arm at 2443 and 4845 months. In the imaging substudy, there was no difference in “off” motor and total UPDRS scores between treatment arms at 46 months.45 In the REAL-PET study, levodopa-treated subjects had better controlled PD than agonist-treated subjects as measured by “on” scores of the UPDRS motor section but similar Global Clinical Impressions scale scores. In both studies, subjects randomized to initial levodopa had less somnolence and edema.
In terms of the RTI outcomes, both agonist trials showed similar results, but at different time points. The pramipexole versus levodopa trial used B-CIT SPECT. At 24 months, there was no significant difference between the levodopa- and agonist-treated groups.43 After 46 months, there was a significant one-third reduction in the relative rates of decline in RTI in the agonist-treated arm compared with the levodopa-treated arm.46 The ropinirole study used F-dopa PET and had a similar finding of a one-third relative reduction in the rate of decline in the agonist-treated group at 24 months.44 Thus, RTI was consistent with aggregate measures of motor complications but not other measures of PD severity, quality of life, and global function.
The interpretation of imaging data from these clinical trials is challenging because of the potential for direct pharmacologic regulation of the targets of these ligands.47–49 Levodopa and dopamine agonists have the potential to alter imaging by changing the uptake or metabolism of F-dopa or by changing the number, occupancy, or affinity of receptors that bind DAT tracers. These direct effects on tracers may be separate from effects on disease progression. The duration of these pharmacodynamic effects is often unknown, making washout designs problematic.47–49
Studies in patients with PD designed to assess direct pharmacologic effects of medications on RTI targets are characterized by varied interventions and measures, small sample sizes, and limited power to detect effect sizes that could be significant in larger clinical trials. For example, there are five published studies of direct drug effects on DAT ligands (table 2). Three studies showed no statistically significant change on short-term imaging measures with levodopa or dopamine agonists.46,50,51 One showed a nonsignificant upregulation of striatal DAT by dopamine agonist administration.52 Another study using the DAT ligand [11C]RTI-32 and PET showed a significant reduction in DAT expression in all striatal regions in the levodopa group and smaller but significant reductions in the pramipexole and placebo groups.53 Although a different tracer was used, the findings with [11C]RTI-32 and PET may explain the results of the Elldopa trial and CALM-PD trials. The varied results from these five small studies do not adequately answer questions about direct effects of drugs on tracers, and they underscore the complexity of this issue with multiple possible permutations of drugs, doses, and tracers over variable periods of study.
Table 2 Human Parkinson disease studies assessing direct pharmacologic effects on DAT tracers
F-dopa PET has been used in tissue transplantation trials. In these trials, RTI provided information about graft survival and function. In the first double-blind, placebo-controlled surgical trial of human embryonic dopaminergic tissue transplantation, 40 subjects with advanced PD underwent F-dopa PET at baseline and 12 months. The primary clinical outcome of this trial was patient-rated global clinical impression of change at 12 months. This outcome was not significantly different between the transplantation and sham surgery groups.54 The secondary outcomes of F-dopa PET and “off” scores for the total UPDRS were both improved in the surgical group, with a 40% increase in putamen F-dopa uptake suggesting graft survival and function as dopaminergic cells.55 Similarly, a second transplantation trial showed a nonsignificant trend to improvement on the primary outcome of “off” UPDRS motor scores but significant improvement in F-dopa PET.56
4) SEs in clinical trials.
When used as an SE, a biomarker should predict the important intended and unintended (e.g., severe expected and unexpected adverse events) clinical results of an intervention with a high degree of accuracy. Although there are moderate correlations of RTI with clinical rating scales, these do not imply a predictive relationship, and correlations may oversimplify the relationship between CE and RTI.57 The clinical trials described here highlight the variable relationship between RTI measures and CEs and show why no RTI technique should be considered an SE in PD at this time. In fact, no clinical trial in PD has used an RTI measure as an SE. All efficacy studies have had clinical primary outcome measures with the exception of the REAL-PET study, which used F-dopa PET as the primary outcome measure but otherwise replicated previous longer and larger studies with primary clinical outcomes.58 This Phase IV trial was not designed to lead to drug approval or a change in indications or labeling, and thus it did not truly use F-dopa PET as a surrogate.
5) Assisting in the choice of and monitoring response to therapy.
Therapeutic monitoring requires that the biomarker either function as a prognostic tool or reflect information about the risks or benefits of treatment. As with surrogates, the data to support RTI in this role do not yet exist and RTI is not currently used in this manner.
Summary and future directions.
The value of using imaging in a clinical study depends on the aim of the study. Existing radiotracer ligands reflect aspects of the pathophysiology of PD and may therefore be useful for exploring disease biology. In early-phase clinical trials or even specific efficacy studies such as tissue transplantation, imaging may provide evidence of activity for the intervention. However, for other uses of biomarkers, such as diagnosis, prognosis, surrogacy, and therapeutic monitoring, a close, consistent linkage to the appropriate CE is critical. RTI has not been established to be appropriate for these uses. Furthermore, the mechanistic information added by imaging in clinical trials may be difficult to interpret. Therefore, the use of RTI in clinical trials should be considered exploratory and a means of further developing the technology. Importantly, there are clear directions for research that are likely to facilitate the use of imaging in PD.
New ligands will be important for many of the proposed uses of RTI. Although there is no guarantee that new ligands will capture more clinical features of PD, nondopaminergic ligands may reflect other aspects of the degenerative process and may correlate better with nonmotor symptoms. There are several ligands in development, including serotonergic and cholinergic ligands, and other ligands that might measure processes earlier in the causal pathway of PD.
Existing data on the ligands discussed do not support their use in determining the diagnosis or prognosis of PD. Future diagnostic and prognostic studies should be performed in the target population in which the test would be used to determine how it would perform with different underlying rates of disease. Performance should be expressed using receiver-operating characteristics and likelihood ratios.59 More work must be done to determine how diagnostic imaging actually affects clinical decision making, outcomes for patients, and cost of care.
RTI may be useful in early therapy development in PD, but the usefulness of RTI in later phase clinical trials in which efficacy is being tested is unproven. The issue of pharmacologic regulation should be addressed more directly, either in animal studies or larger human studies that would allow greater confidence in the conclusions. Attempting to deal with the possibility of pharmacologic regulation in clinical trials themselves by equalizing medication doses between arms or other design features may unnecessarily complicate clinical trials and may undermine the idea of using a biomarker as an objective, biologic measure. If it is determined that a tracer measures a process not linked to neurodegeneration but rather to a pharmacologic response to the intervention, it is unlikely that these effects will be fully separable by the design or analysis of a trial aimed at assessing PD progression.
At this time, no imaging technique should be considered an SE in PD. Continued vigilance is important because the use of surrogates is appealing and can theoretically save time and money by shortening trials. The use of surrogates that have not been fully validated in clinical trials can have disastrous consequences. One well-known example involves the use of ventricular arrhythmias as a surrogate for cardiovascular mortality. Three drugs were approved on the basis of reducing the surrogate of arrhythmias, but subsequent trials showed that these drugs actually increase mortality.57 The results of a single trial with concordance between the marker and CE does not constitute a surrogate. Multiple trials are often needed to determine whether the relationship between the SE and CE holds across different conditions and interventions.
There is inadequate information to suggest that one tracer is superior to another for assessing the progression of PD. The possibility of using more than one tracer in a study to compare their performance and capture different aspects of PD is therefore appealing. This has been done successfully in small cohorts.30 This option must, however, be weighed against human subject concerns and logistical considerations. Early studies of the relationship between biomarkers and CEs may be explored in longitudinal studies other than clinical trials, although clinical trials are needed to establish SEs. The experimental interventions, risks to subjects, and costs of trials may make clinical trials less appealing for biomarker development. Additionally, there is tension between keeping clinical trials streamlined and focused and using trials to explore ancillary issues. Establishing or using longitudinal cohorts for biomarker development is another option. Sampling methods with overlapping age or PD stage intervals may facilitate cohort designs and reduce the needed follow-up time.
Determining relationships between potential biomarkers and clinical features of PD is challenging in any clinical setting. Because of powerful short-term effects of dopaminergic drugs on clinical measures, a patient’s current state on medication may mask the trait of interest for biomarker development. Ironically, this problem is one of the main motivations for and obstacles to biomarker development in PD. Washout designs and “off” state evaluations are used to deal with this problem in many studies. However, therapies are part of the treated natural history of PD. Biomarkers must eventually be evaluated with respect to standard of care to judge their relationship to clinical outcomes rather than evaluating biomarkers “off” therapy. This means, however, that clinicians must provide measures of treated-disease progression to serve as anchors for biomarker development.60 It is likely that this will require long-term follow-up and possibly combinations of outcome measures.
The evaluation and modeling of biomarkers from clinical trials or observational studies would be improved by metaanalyses or pooled analyses using data from individual subjects.1 These types of analyses require commonly defined data elements and practices for both clinical and biomarker measurements as well as methods for sharing data. Common, transparent standards of prespecified objectives, methods of imaging ascertainment, processing, handling of missing data, and analysis could be established but must accommodate changing technologies. These steps would facilitate the evaluation of imaging studies and acceptance by clinical and regulatory practitioners.
Footnotes
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This work was supported by the National Institute of Neurologic Disorders and Stroke and a National Institute of Neurologic Disorders and Stroke-sponsored workshop on imaging in PD.
Dr. Brooks has received consulting fees from GlaxoSmithKline and is an employee of Imanet, Amersham Health PLC. Dr. Innis received consulting fees in excess of $10,000 from Imanet, Amersham Health PLC. Dr. Kish received a research grant from Boehringer Ingelheim Canada. Drs. Marek and Seibyl have equity interests in Molecular NeuroImaging, LLC.
Received March 22, 2004. Accepted in final form September 15, 2004.
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Letters: Rapid online correspondence
- Reply to Zweig and Marshall
- Bernard M Ravina, Dept. of Neurology, University of Rochester, Town House, Mt. Hope Avenue, Rochester, NY 14620[email protected]
- Nicholas Lange, Ken Marek, Robert Holloway, David Eidelberg
Submitted April 16, 2005 - The role of radiotracer imaging in Parkinson disease
- V L Marshall, Institute of Neurosciences, Department of Neurology, Southern General Hospital, 1345 Govan Road, Glasgow G51 4TF[email protected]
- Donald G Grosset
Submitted April 16, 2005 - The role of radiotracer imaging in Parkinson disease
- Richard M. Zweig, LSU Health Sciences Center - Shreveport, 1501 King's Highway, Shreveport, LA 71130[email protected]
- David L. Lilien, Kerrie Tainter, and James Patterson
Submitted April 16, 2005
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