Deep learning regressor model based on nigrosome MRI in Parkinson syndrome effectively predicts striatal dopamine transporter-SPECT uptake

[1]  J. H. Kim,et al.  [MRI Findings in Parkinson's Disease: Radiologic Assessment of Nigrostriatal Degeneration]. , 2022, Taehan Yongsang Uihakhoe chi.

[2]  S. Lehéricy,et al.  Deep Learning‐Based Neuromelanin MRI Changes of Isolated REM Sleep Behavior Disorder , 2022, Movement disorders : official journal of the Movement Disorder Society.

[3]  C. Petitjean,et al.  Segmentation-Based vs. Regression-Based Biomarker Estimation: A Case Study of Fetus Head Circumference Assessment from Ultrasound Images , 2022, J. Imaging.

[4]  H. Kato,et al.  Imaging of the nigrostriatal system for evaluating the preclinical phase of Parkinson's disease development: the utility of neuromelanin, diffusion MRI, and DAT-SPECT. , 2021, The British journal of radiology.

[5]  C. Sohn,et al.  Imaging the Substantia Nigra in Parkinson Disease and Other Parkinsonian Syndromes. , 2021, Radiology.

[6]  K. Santosh,et al.  Improved U-Net architecture with VGG-16 for brain tumor segmentation , 2021, Physical and Engineering Sciences in Medicine.

[7]  C. Jung,et al.  Iron-sensitive magnetic resonance imaging in Parkinson’s disease: a systematic review and meta-analysis , 2021, Journal of Neurology.

[8]  S. Bae,et al.  Development and Validation of a Deep Learning–Based Model to Distinguish Glioblastoma from Solitary Brain Metastasis Using Conventional MR Images , 2021, American Journal of Neuroradiology.

[9]  E. Kim,et al.  Automated assessment of the substantia nigra on susceptibility map-weighted imaging using deep convolutional neural networks for diagnosis of Idiopathic Parkinson's disease. , 2021, Parkinsonism & related disorders.

[10]  J. Kim,et al.  Determining the Degree of Dopaminergic Denervation Based on the Loss of Nigral Hyperintensity on SMWI in Parkinsonism , 2021, American Journal of Neuroradiology.

[11]  R Krupička,et al.  Automatic substantia nigra segmentation in neuromelanin-sensitive MRI by deep neural network in patients with prodromal and manifest synucleinopathy. , 2019, Physiological research.

[12]  J. Klein,et al.  Nigrosome 1 imaging in REM sleep behavior disorder and its association with dopaminergic decline , 2019, Annals of clinical and translational neurology.

[13]  Y. Shimo,et al.  Neuromelanin or DaT‐SPECT: which is the better marker for discriminating advanced Parkinson's disease? , 2019, European journal of neurology.

[14]  S. Kang,et al.  Loss of Substantia Nigra Hyperintensity at 3.0-T MR Imaging in Idiopathic REM Sleep Behavior Disorder: Comparison with 123I-FP-CIT SPECT. , 2017, Radiology.

[15]  E. Tolosa,et al.  Dopamine transporter imaging deficit predicts early transition to synucleinopathy in idiopathic rapid eye movement sleep behavior disorder , 2017, Annals of neurology.

[16]  Dong-Hyun Kim,et al.  Imaging of nigrosome 1 in substantia nigra at 3T using multiecho susceptibility map‐weighted imaging (SMWI) , 2017, Journal of magnetic resonance imaging : JMRI.

[17]  A. Batla,et al.  Deconstructing Fahr's disease/syndrome of brain calcification in the era of new genes. , 2017, Parkinsonism & related disorders.

[18]  W. Poewe,et al.  Meta‐analysis of dorsolateral nigral hyperintensity on magnetic resonance imaging as a marker for Parkinson's disease , 2017, Movement disorders : official journal of the Movement Disorder Society.

[19]  Oury Monchi,et al.  The role of high‐field magnetic resonance imaging in parkinsonian disorders: Pushing the boundaries forward , 2017, Movement disorders : official journal of the Movement Disorder Society.

[20]  Luca Mainardi,et al.  Neuromelanin Imaging and Dopaminergic Loss in Parkinson's Disease , 2016, Front. Aging Neurosci..

[21]  Ji Young Yun,et al.  Loss of Nigral Hyperintensity on 3 Tesla MRI of Parkinsonism: Comparison With 123I‐FP‐CIT SPECT , 2016, Movement disorders : official journal of the Movement Disorder Society.

[22]  G. Hu,et al.  Aquaporin-4 deficiency diminishes the differential degeneration of midbrain dopaminergic neurons in experimental Parkinson’s disease , 2016, Neuroscience Letters.

[23]  F. Yang,et al.  Visualization of nigrosomes-1 in 3T MR susceptibility weighted imaging and its absence in diagnosing Parkinson's disease. , 2015, European review for medical and pharmacological sciences.

[24]  Michael Schocke,et al.  Dorsolateral nigral hyperintensity on 3.0T susceptibility‐weighted imaging in neurodegenerative Parkinsonism , 2015, Movement disorders : official journal of the Movement Disorder Society.

[25]  A. Lang,et al.  Vascular Parkinsonism: Deconstructing a Syndrome , 2015, Movement disorders : official journal of the Movement Disorder Society.

[26]  M. Tosetti,et al.  Comparison of 3T and 7T Susceptibility-Weighted Angiography of the Substantia Nigra in Diagnosing Parkinson Disease , 2015, American Journal of Neuroradiology.

[27]  Jacques Darcourt,et al.  Individual-Reader Diagnostic Performance and Between-Reader Agreement in Assessment of Subjects with Parkinsonian Syndrome or Dementia Using 123I-Ioflupane Injection (DaTscan) Imaging , 2014, The Journal of Nuclear Medicine.

[28]  Dosik Hwang,et al.  Susceptibility map‐weighted imaging (SMWI) for neuroimaging , 2014, Magnetic resonance in medicine.

[29]  Dorothee P. Auer,et al.  The ‘Swallow Tail’ Appearance of the Healthy Nigrosome – A New Accurate Test of Parkinson's Disease: A Case-Control and Retrospective Cross-Sectional MRI Study at 3T , 2014, PloS one.

[30]  Klaus Tatsch,et al.  Nigrostriatal Dopamine Terminal Imaging with Dopamine Transporter SPECT: An Update , 2013, The Journal of Nuclear Medicine.

[31]  Yu Kyeong Kim,et al.  The wide clinical spectrum and nigrostriatal dopaminergic damage in spinocerebellar ataxia type 6 , 2010, Journal of Neurology, Neurosurgery & Psychiatry.

[32]  P Sandroni,et al.  Second consensus statement on the diagnosis of multiple system atrophy , 2008, Neurology.

[33]  D. Thurman,et al.  How common are the “common” neurologic disorders? , 2007, Neurology.

[34]  Marvin Bergsneider,et al.  Diagnosing Idiopathic Normal-pressure Hydrocephalus , 2005, Neurosurgery.

[35]  Thomas Hummel,et al.  Detection of presymptomatic Parkinson's disease: Combining smell tests, transcranial sonography, and SPECT , 2004, Movement disorders : official journal of the Movement Disorder Society.

[36]  Werner Poewe,et al.  Role of dopamine transporter imaging in investigation of parkinsonian syndromes in routine clinical practice , 2003, Movement disorders : official journal of the Movement Disorder Society.

[37]  A. Graybiel,et al.  The substantia nigra of the human brain. I. Nigrosomes and the nigral matrix, a compartmental organization based on calbindin D(28K) immunohistochemistry. , 1999, Brain : a journal of neurology.

[38]  A. Graybiel,et al.  The substantia nigra of the human brain. II. Patterns of loss of dopamine-containing neurons in Parkinson's disease. , 1999, Brain : a journal of neurology.

[39]  M. Hallett,et al.  Clinical research criteria for the diagnosis of progressive supranuclear palsy (Steele-Richardson-Olszewski syndrome) , 1996, Neurology.

[40]  J. Hughes,et al.  Accuracy of clinical diagnosis of idiopathic Parkinson's disease: a clinico-pathological study of 100 cases. , 1992, Journal of neurology, neurosurgery, and psychiatry.

[41]  D. Greenblatt,et al.  The International Classification of Sleep Disorders , 1992 .

[42]  Kip T. Dooley.  Effects of Sex and Autism on Oxytocin Receptors in the Substantia Nigra of the Human Brain , 2021 .

[43]  Samrat Kumar Dey,et al.  VGG-SCNet: A VGG Net-Based Deep Learning Framework for Brain Tumor Detection on MRI Images , 2021, IEEE Access.

[44]  R. Elble,et al.  Diagnostic criteria for essential tremor and differential diagnosis. , 2000, Neurology.