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Published online by Cambridge University Press:  25 August 2021

Gemma Roberts
Affiliation:
Translational and Clinical Research Institute, Newcastle University, UK; and Nuclear Medicine Department, Royal Victoria Infirmary, UK Email: [email protected]
John-Paul Taylor
Affiliation:
Translational and Clinical Research Institute, Newcastle University, UK
John O'Brien
Affiliation:
Department of Psychiatry, University of Cambridge School of Clinical Medicine, UK
Alan J. Thomas
Affiliation:
Translational and Clinical Research Institute, Newcastle University, UK.
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Abstract

Type
Correspondence
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press on behalf of the Royal College of Psychiatrists

We thank Dr McCleery & Dr Quinn, from the Cochrane Dementia and Cognitive Improvement Group, for their interest in our recent paper on the accuracy of dopaminergic imaging as a biomarker for mild cognitive impairment with Lewy bodies (MCI-LB).Reference Roberts, Donaghy, Lloyd, Durcan, Petrides and Colloby1 However, we disagree with their argument that we have not demonstrated [123I]N-ω-fluoropropyl-2β-carbomethoxy-3β-(4-iodophenyl)nortropane (123I-FP-CIT) to be useful in MCI-LB, because of biases arising from an imperfect reference standard and exclusion of patients with uncertain cases.

We agree that it is challenging to design a perfect diagnostic accuracy study in the field of neurodegenerative diseases, and that many studies, including our own, have limitations. However, we discuss these limitations in the paper and they do not detract significantly from our findings. A recent systematic review used Bayesian methods to adjust for the lack of neuropathological reference standard in most studies, finding similar accuracy results for the diagnosis of clinical dementia with Lewy bodies (DLB) with 123I-FP-CIT before and after adjustment.Reference Nihashi, Ito and Terasawa2 Our results of moderate sensitivity and high specificity are valid and demonstrate that a positive (abnormal) dopaminergic imaging result in suspected MCI-LB is indeed useful in supporting the diagnosis. We agree that a negative result does not exclude MCI-LB, but it is now well-known that a normal scan does not completely exclude DLB in patients with established dementia. Clinicians recognise that a test with sensitivity estimated at 66% is not going to identify all cases.

Drs McCleery & Quinn are, of course, correct that a clinical diagnosis of MCI-LB is an imperfect reference standard, but what is their alternative? The gold standard of post-mortem pathology diagnosis is not feasible for early-stage neurodegenerative studies. In our study we sought to make our clinical diagnoses as reliable as we possibly could by incorporating cardiac metaiodobenzylguanidine (mIBG) findings, where available, and using a panel of three old-age psychiatrists all specialising in Lewy body disease. Our participants have all been invited to donate to our tissue resource on death and in time we intend to update the results of this study with pathological diagnoses as the reference standard, where available.

Optimising our reference standard was our rationale for excluding patients with an uncertain follow-up diagnosis of possible MCI-LB. We are aware that excluding patients with the most uncertain cases risks partial verification bias,Reference Begg3 but in this case we strongly feel that the improvement to the quality of our clinical diagnoses and thus our reference standard outweighs the risk of overestimating sensitivity and specificity. On balance, our results are likely to be a worse estimate of the true diagnostic accuracy with the uncertain cases included than with them excluded. We continue to follow these participants up, but feel it is inappropriate to group them as having MCI-LB at present for the purposes of diagnostic accuracy assessment. This prospective review is the key to making our reference clinical diagnoses as accurate as possible.

We did not aim to image only patients with uncertain diagnoses at baseline, although we agree this would be a very valuable future study. Rather, we aimed to end up with two reasonably definitive groups of patients at follow-up – those who we could be as confident as possible do have MCI-LB and those who we are confident do not. In the absence of neuropathological verification, it is only by selecting patients with probable diagnoses that we can usefully test the accuracy of baseline dopaminergic imaging in MCI-LB.

Declaration of interest

G.R. has received honoraria from GE Healthcare for delivering educational workshops on FP-CIT imaging. J.-P.T. has received honoraria from GE Healthcare for delivering educational presentations on Lewy body disease and has consulted for Sosei-Heptares and Kyowa-Kirin. J.O'B. has acted as a consultant for Axon Neuroscience, TauRx, GE Healthcare, Lilly and Eisai, has been a recipient of grant support from Alliance Medical, GE Healthcare and Merck, and received honoraria for talks for GE Healthcare. A.J.T. has received support for dopaminergic imaging in MCI with Lewy bodies investigator-led studies and honoraria from GE Healthcare.

References

Roberts, G, Donaghy, P, Lloyd, J, Durcan, R, Petrides, G, Colloby, S, et al. Accuracy of dopaminergic imaging as a biomarker for mild cognitive impairment with Lewy bodies. Br J Psychiatry 2021; 218: 276–82.10.1192/bjp.2020.234CrossRefGoogle Scholar
Nihashi, T, Ito, K, Terasawa, T. Diagnostic accuracy of DAT-SPECT and MIBG scintigraphy for dementia with Lewy bodies: an updated systematic review and Bayesian latent class model meta-analysis. Eur J Nucl Med Mol Imaging 2020; 47: 1984–97.10.1007/s00259-019-04480-8CrossRefGoogle ScholarPubMed
Begg, C. Biases in the assessment of diagnostic tests. Stat Med 1987; 6: 411–23.10.1002/sim.4780060402CrossRefGoogle ScholarPubMed
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