ArticleNeuroradiology2023
Deep learning regressor model based on nigrosome MRI in Parkinson syndrome effectively predicts striatal dopamine transporter-SPECT uptake.
Article in Neuroradiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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.
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Who cites it
6 citing papers in PubMed, 12 citations in OpenAlex.
- Deep learning-based susceptibility map-weighted imaging analysis of dorsal nigral hyperintensity as a surrogate for dopamine transporter positron emission tomography in patients with idiopathic rapid eye movement sleep behavior disorder.Frontiers in neurology · 2026Article
- Limited predictive value of preoperative nigrosome integrity for motor outcomes in Parkinson's disease deep brain stimulation.NPJ Parkinson's disease · 2025Article
- Deep Learning to Differentiate Parkinsonian Syndromes Using Multimodal Magnetic Resonance Imaging: A Proof-of-Concept Study.Movement disorders : official journal of the Movement Disorder Society · 2025Article
- AI in SPECT Imaging: Opportunities and Challenges.Seminars in nuclear medicine · 2025Review
- Simple biomarkers to distinguish Parkinson's disease from its mimics in clinical practice: a comprehensive review and future directions.Frontiers in neurology · 2024Review
- Multispectral 7 Tesla MRI as a potential predictor of dopamine transporter deficiency in Parkinson's disease.Imaging neuroscience (Cambridge, Mass.)Article
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
Abstract
purposeNigrosome imaging using susceptibility-weighted imaging (SWI) and dopamine transporter imaging using
methodsBetween February 2017 and December 2018, participants who underwent 3 T brain MRI including SWI and
resultsWe included 367 participants (203 women (55.3%); age, 69.0 ± 9.2 [range, 39-88] years). Random data from 293 participants (80%) were used for training. In the test set (74 participants [20%]), the measured and predicted
conclusionA deep learning-based regressor model effectively predicted striatal
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.