ArticleJournal of neural transmission (Vienna, Austria : 1996)2016
Visual versus automated analysis of [I-123]FP-CIT SPECT scans in parkinsonism.
Article in Journal of neural transmission (Vienna, Austria : 1996), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed, 30 citations in OpenAlex.
- Striatal Dopamine Transporter and Rest Tremor in Parkinson Disease: A Clinical Validation.Neurology · 2026Observational
- Concordance Between Amyloid-PET Quantification and Real-World Visual Reads.JAMA neurology · 2025Article
- Fully automatic categorical analysis of striatal subregions in dopamine transporter SPECT using a convolutional neural network.Annals of nuclear medicine · 2025Article
- Reliable diagnosis of nigrostriatal degeneration by dopamine transporter SPECT despite drug interaction with venlafaxine or bupropion.European journal of nuclear medicine and molecular imaging · 2025Article
- Incorporating label uncertainty during the training of convolutional neural networks improves performance for the discrimination between certain and inconclusive cases in dopamine transporter SPECT.European journal of nuclear medicine and molecular imaging · 2025Article
- The role of presynaptic dopaminergic imaging in acquired neurological conditions affecting basal ganglia: a systematic review.Frontiers in neurology · 2025Review
- Automated identification of uncertain cases in deep learning-based classification of dopamine transporter SPECT to improve clinical utility and acceptance.European journal of nuclear medicine and molecular imaging · 2024Article
- Nigral volumetric and microstructural measures in individuals with scans without evidence of dopaminergic deficit.Frontiers in neuroscience · 2022Article
- A new quantitative index in the diagnosis of Parkinson syndrome by dopamine transporter single-photon emission computed tomography.Annals of nuclear medicine · 2021Article
- Brain SPECT as an Imaging Biomarker for Evaluating Effects of Novel Treatments in Psychiatry-A Case Series.Frontiers in psychiatry · 2021Article
- A Novel Automatic Approach for Calculation of the Specific Binding Ratio in [I-123]FP-CIT SPECT.Diagnostics (Basel, Switzerland) · 2020Article
- Nuclear Imaging in the Diagnosis of Clinically Uncertain Parkinsonian Syndromes.Deutsches Arzteblatt international · 2019Review
- Impact of the cerebrospinal fluid-mask algorithm on the diagnostic performance ofEJNMMI research · 2019Article
- Individual parkinsonian motor signs and striatal dopamine transporter deficiency: a study with [I-123]FP-CIT SPECT.Journal of neurology · 2019Article
- Dopaminergic imaging separates normal pressure hydrocephalus from its mimics.Journal of neurology · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The clinical evaluation of dopamine transporter (DAT) SPECT scans typically relies on visual analysis in combination with an automated semi-quantitative method. The interpretation of the results may be difficult in cases that show disagreement between the two methods on the borderline of abnormality. The frequency and clinical characteristics of such cases are unclear. Automated semi-quantitative analyses and independent visual analyses by two experienced nuclear medicine physicians and four inexperienced raters were performed for 120 patients with clinically uncertain parkinsonism scanned with brain [I-123]FP-CIT SPECT. Agreement was evaluated with kappa statistics. The clinical characteristics of patients who had discrepant findings between the two analysis methods were investigated. The expert raters outperformed nonexperts in terms of agreement between visual and automated analyses (κ = 0.66, 0.72 vs. 0.23-0.54) and between raters (κ = 0.81 vs. 0.44-0.63). Twelve patients showed discrepant findings between the visual and automated analyses. These patients were older compared to other patients (p = 0.023), had 17.6 % lower mean striatal tracer binding compared to normal scans (p = 0.003) and 62.7 % higher compared to abnormal scans (p < 0.001). After a minimum of 4.5 years of clinical follow-up, none of these patients developed neurodegenerative parkinsonism. Clinical DAT SPECT scans show discrepancies between visual and automated analyses in 10 % of cases. The patients with discrepant findings are older, show normal to slightly abnormal tracer binding, and importantly, do not develop neurodegenerative parkinsonism syndromes. Visual analyses by experienced raters are reliable, but the diagnostic accuracy in discrepant cases can be improved by an automated method.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.