Accurate measurement of magnetic resonance parkinsonism index by a fully automatic and deep learning quantification pipeline-Reference-Cited by-同舟云学术

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Accurate measurement of magnetic resonance parkinsonism index by a fully automatic and deep learning quantification pipeline

Published:2023-07-22 Issue:12 Volume:33 Page:8844-8853
ISSN:1432-1084
Container-title:European Radiology
language:en
Short-container-title:Eur Radiol

Author:

Sun Fuhai,Lyu Junyan,Jian Si,Qin Yuanyuan,Tang Xiaoying

Funder

National Natural Science Foundation of China

Shenzhen Science and Technology Innovation Program

Shenzhen Science and Technology Innovation Committee

the Shenzhen Basic Research Program

Publisher

Springer Science and Business Media LLC

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s00330-023-09979-1.pdf

Reference32 articles.

1. Williams DR, Lees AJ (2009) Progressive supranuclear palsy: clinicopathological concepts and diagnostic challenges. Lancet Neurol 8:270–279

2. Collins S, Ahlskog J, Parisi J, Maraganore D (1995) Progressive supranuclear palsy: neuropathologically based diagnostic clinical criteria. J Neurol Neurosurg Psychiatry 58:167–173

3. Hussl A, Mahlknecht P, Scherfler C et al (2010) Diagnostic accuracy of the magnetic resonance Parkinsonism index and the midbrain-to-pontine area ratio to differentiate progressive supranuclear palsy from Parkinson’s disease and the Parkinson variant of multiple system atrophy. Mov Disord 25:2444–2449

4. Paviour D, Price S, Stevens J, Lees A, Fox N (2005) Quantitative MRI measurement of superior cerebellar peduncle in progressive supranuclear palsy. Neurology 64:675–679

5. Warmuth-Metz M, Naumann M, Csoti I, Solymosi L (2001) Measurement of the midbrain diameter on routine magnetic resonance imaging: a simple and accurate method of differentiating between Parkinson disease and progressive supranuclear palsy. Arch Neurol 58:1076–1079

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1. Faster, More Practical, but Still Accurate: Deep Learning for Diagnosis of Progressive Supranuclear Palsy;Radiology: Artificial Intelligence;2024-05-01

2. Parkinson’s disease diagnosis using deep learning: A bibliometric analysis and literature review;Ageing Research Reviews;2024-04

3. Messung des MR-Parkinsonismus-Index mithilfe künstlicher Intelligenz;Neuroradiologie Scan;2024-01

4. Letter to the Editor: “Accurate measurement of magnetic resonance parkinsonism index by a fully automatic and deep learning quantification pipeline”;European Radiology;2023-11-02

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