Neuromelanin and T2*-MRI for the assessment of genetically at-risk, prodromal, and symptomatic Parkinson's disease

被引:11
作者
Ben Bashat, Dafna [1 ,2 ,3 ]
Thaler, Avner [2 ,3 ,4 ]
Shacham, Hedva Lerman [5 ]
Even-Sapir, Einat [2 ,5 ]
Hutchison, Matthew [6 ]
Evans, Karleyton C. [6 ]
Orr-Urterger, Avi [2 ,3 ,7 ]
Cedarbaum, Jesse M. [8 ,9 ]
Droby, Amgad [2 ,3 ,4 ]
Giladi, Nir [2 ,3 ,4 ]
Mirelman, Anat [2 ,3 ,4 ]
Artzi, Moran [1 ,2 ,3 ]
机构
[1] Tel Aviv Sourasky Med Ctr, Sago Brain Inst, Tel Aviv, Israel
[2] Tel Aviv Univ, Sackler Sch Med, Tel Aviv, Israel
[3] Tel Aviv Univ, Sagol Sch Neurosci, Tel Aviv, Israel
[4] Tel Aviv Sourasky Med Ctr, Neurol Inst, Lab Early Markers Neurodegenerat LEMON, Tel Aviv, Israel
[5] Tel Aviv Sourasky Med Ctr, Dept Nucl Med, Tel Aviv, Israel
[6] Biogen Inc, 14 Cambridge Ctr, Cambridge, MA 02142 USA
[7] Tel Aviv Sourasky Med Ctr, Neurol Inst, Genom Res Lab Neurodegenerat, Tel Aviv, Israel
[8] Coeruleus Clin Sci LLC, Woodbridge, CT USA
[9] Yale Univ, Sch Med, New Haven, CT USA
关键词
MARKERS; IRON; RADIOMICS; DOPAMINE; MEDICINE; MUTATION; MRI;
D O I
10.1038/s41531-022-00405-9
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
MRI was suggested as a promising method for the diagnosis and assessment of Parkinson's Disease (PD). We aimed to assess the sensitivity of neuromelanin-MRI and T-2* with radiomics analysis for detecting PD, identifying individuals at risk, and evaluating genotype-related differences. Patients with PD and non-manifesting (NM) participants [NM-carriers (NMC) and NM-non-carriers (NMNC)], underwent MRI and DAT-SPECT. Imaging-based metrics included 48 neuromelanin and T-2* radiomics features and DAT-SPECT specific-binding-ratios (SBR), were extracted from several brain regions. Imaging values were assessed for their correlations with age, differences between groups, and correlations with the MDS-likelihood-ratio (LR) score. Several machine learning classifiers were evaluated for group classification. A total of 127 participants were included: 46 patients with PD (62.3 +/- 10.0 years) [15:LRRK2-PD, 16:GBA-PD, and 15:idiopathic-PD (iPD)], 47 NMC (51.5 +/- 8.3 years) [24:LRRK2-NMC and 23:GBA-NMC], and 34 NMNC (53.5 +/- 10.6 years). No significant correlations were detected between imaging parameters and age. Thirteen MRI-based parameters and radiomics features demonstrated significant differences between PD and NMNC groups. Support-Vector-Machine (SVM) classifier achieved the highest performance (AUC = 0.77). Significant correlations were detected between LR scores and two radiomic features. The classifier successfully identified two out of three NMC who converted to PD. Genotype-related differences were detected based on radiomic features. SBR values showed high sensitivity in all analyses. In conclusion, neuromelanin and T-2* MRI demonstrated differences between groups and can be used for the assessment of individuals at-risk in cases when DAT-SPECT can't be performed. Combining neuromelanin and T-2*-MRI provides insights into the pathophysiology underlying PD, and suggests that iron accumulation precedes neuromelanin depletion during the prodromal phase.
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页数:8
相关论文
共 57 条
  • [1] Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach
    Aerts, Hugo J. W. L.
    Velazquez, Emmanuel Rios
    Leijenaar, Ralph T. H.
    Parmar, Chintan
    Grossmann, Patrick
    Cavalho, Sara
    Bussink, Johan
    Monshouwer, Rene
    Haibe-Kains, Benjamin
    Rietveld, Derek
    Hoebers, Frank
    Rietbergen, Michelle M.
    Leemans, C. Rene
    Dekker, Andre
    Quackenbush, John
    Gillies, Robert J.
    Lambin, Philippe
    [J]. NATURE COMMUNICATIONS, 2014, 5
  • [2] Quantitative MRI markers in Parkinson's disease and parkinsonian syndromes
    Arribarat, Germain
    Peran, Patrice
    [J]. CURRENT OPINION IN NEUROLOGY, 2020, 33 (02) : 222 - 229
  • [3] DaT-SPECT assessment depicts dopamine depletion among asymptomatic G2019S LRRK2 mutation carriers
    Artzi, Moran
    Even-Sapir, Einat
    Shacham, Hedva Lerman
    Thaler, Avner
    Urterger, Avi Orr
    Bressman, Susan
    Marder, Karen
    Hendler, Talma
    Giladi, Nir
    Ben Bashat, Dafna
    Mirelman, Anat
    [J]. PLOS ONE, 2017, 12 (04):
  • [4] AN INVENTORY FOR MEASURING DEPRESSION
    BECK, AT
    ERBAUGH, J
    WARD, CH
    MOCK, J
    MENDELSOHN, M
    [J]. ARCHIVES OF GENERAL PSYCHIATRY, 1961, 4 (06) : 561 - &
  • [5] CONTROLLING THE FALSE DISCOVERY RATE - A PRACTICAL AND POWERFUL APPROACH TO MULTIPLE TESTING
    BENJAMINI, Y
    HOCHBERG, Y
    [J]. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 1995, 57 (01) : 289 - 300
  • [6] MDS research criteria for prodromal Parkinson's disease
    Berg, Daniela
    Postuma, Ronald B.
    Adler, Charles H.
    Bloem, Bastiaan R.
    Chan, Piu
    Dubois, Bruno
    Gasser, Thomas
    Goetz, Christopher G.
    Halliday, Glenda
    Joseph, Lawrence
    Lang, Anthony E.
    Liepelt-Scarfone, Inga
    Litvan, Irene
    Marek, Kenneth
    Obeso, Jose
    Oertel, Wolfgang
    Olanow, C. Warren
    Poewe, Werner
    Stern, Matthew
    Deuschl, Guenther
    [J]. MOVEMENT DISORDERS, 2015, 30 (12) : 1600 - 1609
  • [7] BERNHEIMER H, 1973, J NEUROL SCI, V20, P415, DOI 10.1016/0022-510X(73)90175-5
  • [8] Spatiotemporal changes in substantia nigra neuromelanin content in Parkinson's disease
    Biondetti, Emma
    Gaurav, Rahul
    Yahia-Cherif, Lydia
    Mangone, Graziella
    Pyatigorskaya, Nadya
    Valabregue, Romain
    Ewenczyk, Claire
    Hutchison, Matthew
    Francois, Chantal
    Corvol, Jean-Christophe
    Vidailhet, Marie
    Lehericy, Stephane
    [J]. BRAIN, 2020, 143 : 2757 - 2770
  • [9] Neuromelanin-sensitive imaging in patients with idiopathic rapid eye movement sleep behaviour disorder
    Boeve, Bradley F.
    St Louis, Erik K.
    Kantarci, Kejal
    [J]. BRAIN, 2016, 139 : 1005 - 1007
  • [10] Imaging Approaches to Parkinson Disease
    Brooks, David J.
    [J]. JOURNAL OF NUCLEAR MEDICINE, 2010, 51 (04) : 596 - 609