ArticleAnnals of nuclear medicine2025
Fully automatic categorical analysis of striatal subregions in dopamine transporter SPECT using a convolutional neural network.
Article in Annals of nuclear medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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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
3 citing papers in PubMed.
- Dopaminergic Radiopharmaceutical Imaging in Parkinsonian Syndromes: From Molecular Targets to Clinical Decision-Making.Pharmaceuticals (Basel, Switzerland) · 2026Review
- Performance of CT-guided spatial normalization for semi-quantification of dopamine transporter SPECT and detection of nigrostriatal degeneration.Annals of nuclear medicine · 2026Article
- Examination of simple artificial intelligence-based analysis of dopamine transporter scintigraphy for supporting a diagnosis of Parkinson's disease.Annals of nuclear medicine · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
objectiveTo provide fully automatic scanner-independent 5-level categorization of the [
methodsA total of 3500 [
resultsThe accuracy of the CNN for the 5-level prediction of the [
conclusionsAutomatic scanner-independent 5-level categorization of the [
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.