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01.04.2013 | Neuro

Parkinson’s disease: diagnostic potential of high-resolution phase difference enhanced MR imaging at 3 T

verfasst von: Shingo Kakeda, Yukunori Korogi, Tetsuya Yoneda, Keita Watanabe, Junji Moriya, Yu Murakami, Toru Sato, Yasuhiro Hiai, Norihiro Ohnari, Satoru Ide, Kazumasa Okada, Takenori Uozumi, Sadatoshi Tsuji, Toshinori Hirai, Yasuyuki Yamashita

Erschienen in: European Radiology | Ausgabe 4/2013

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Abstract

Objectives

To determine whether it is possible to diagnose patients with Parkinson’s disease (PD) on an individual basis using magnetic resonance imaging with phase difference enhanced imaging (PADRE).

Methods

PADRE delineated the crural fibres as a layer of low signal intensity and the substantia nigra as a layer of medium signal intensity in a healthy volunteer, and showed a clear boundary between the crural fibres and the substantia nigra (BCS). Twenty-four PD patients and 24 control subjects were enrolled. Contrast ratios between the substantia nigra and occipital white matter were calculated, and two radiologists independently reviewed the PADRE findings regarding BCS obscuration.

Results

Mean contrast ratio in PD patients was significantly higher than in control subjects (0.56 vs 0.39, P < 0.01). The BCS on PADRE was obscured significantly more frequently in any subgroups with PD patients compared with control subjects (P < 0.01). The observation of BCS obscuration had a sensitivity, specificity and accuracy for the diagnosis of PD of 92 %, 88 % and 90 % for radiologist 1 and 83 %, 88 % and 85 % for radiologist 2, respectively.

Conclusion

PADRE is able to identify PD in patients as a loss of delineation between the crural fibres and the substantia nigra on an individual basis.

Key Points

• High-resolution phase difference enhanced 3-T MR imaging offers new insights into Parkinson’s disease

• Phase imaging can delineate the boundary between crural fibres and substantia nigra

• The boundary between crural fibres and substantia nigra is obscured in Parkinson’s disease

• Phase difference enhanced imaging (PADRE) can identify individual patients with Parkinson’s disease

Hughes AJ, Daniel SE, Kilford L, Lees AJ (1992) Accuracy of clinical diagnosis of idiopathic Parkinson’s disease: a clinico-pathological study of 100 cases. J Neurol Neurosurg Psychiatry 55:181–184PubMedCrossRef

Caslake R, Moore JN, Gordon JC, Harris CE, Counsell C (2008) Changes in diagnosis with follow-up in an incident cohort of patients with parkinsonism. J Neurol Neurosurg Psychiatry 79:1202–1207PubMedCrossRef

Dexter DT, Carayon A, Javoy-Agid F, Agid Y, Wells FR, Daniel SE, Lees AJ, Jenner P, Marsden CD (1991) Alterations in the levels of iron, ferritin and other trace metals in Parkinson’s disease and other neurodegenerative diseases affecting the basal ganglia. Brain 114:1953–1975PubMedCrossRef

Graham JM, Paley MN, Grunewald RA, Hoggard N, Griffiths PD (2000) Brain iron deposition in Parkinson’s disease imaged using the PRIME magnetic resonance sequence. Brain 123:2423–2431PubMedCrossRef

Berg D, Hochstrasser H (2006) Iron metabolism in Parkinsonian syndromes. Mov Disord 21:1299–1310PubMedCrossRef

Rhodes SL, Ritz B (2008) Genetics of iron regulation and the possible role of iron in Parkinson’s disease. Neurobiol Dis 32:183–195PubMedCrossRef

Ordidge RJ, Gorell JM, Deniau JC, Knight RA, Helpern JA (1994) Assessment of relative brain iron concentrations using T2-weighted and T2*-weighted MRI at 3 Tesla. Magn Reson Med 32:335–341PubMedCrossRef

Gorell JM, Ordidge RJ, Brown GG, Deniau JC, Buderer NM, Helpern JA (1995) Increased iron-related MRI contrast in the substantia nigra in Parkinson’s disease. Neurology 45:1138–1143PubMedCrossRef

Haacke EM, Ayaz M, Khan A, Manova ES, Krishnamurthy B, Gollapalli L, Ciulla C, Kim I, Petersen F, Kirsch W (2007) Establishing a baseline phase behavior in magnetic resonance imaging to determine normal vs. abnormal iron content in the brain. J Magn Reson Imaging 26:256–264PubMedCrossRef

10.

Haacke EM, Cheng NY, House MJ, Liu Q, Neelavalli J, Ogg RJ, Khan A, Ayaz M, Kirsch W, Obenaus A (2005) Imaging iron stores in the brain using magnetic resonance imaging. Magn Reson Imaging 23:1–25PubMedCrossRef

11.

Haacke EM, Xu Y, Cheng YC, Reichenbach JR (2004) Susceptibility weighted imaging (SWI). Magn Reson Med 52:612–618PubMedCrossRef

12.

Kakeda S, Korogi Y, Kamada K et al (2008) Signal intensity of the motor cortex on phase-weighted imaging at 3T. AJNR Am J Neuroradiol 29:1171–1175PubMedCrossRef

13.

Kakeda S, Korogi Y, Yoneda T, Nishimura J, Sato T, Hiai Y, Ohnari N, Okada K, Hayashi H, Matsusue E, Uozumi T, Tsuji S (2011) A novel tract imaging technique of the brainstem using phase difference enhanced imaging: normal anatomy and initial experience in multiple system atrophy. Eur Radiol 21:2202–2210PubMedCrossRef

14.

Drayer B, Burger P, Darwin R, Riederer S, Herfkens R, Johnson GA (1986) MRI of brain iron. AJR Am J Roentgenol 147:103–110PubMedCrossRef

15.

Oikawa H, Sasaki M, Tamakawa Y, Ehara S, Tohyama K (2002) The substantia nigra in Parkinson disease: proton density-weighted spin-echo and fast short inversion time inversion-recovery MR findings. AJNR Am J Neuroradiol 23:1747–1756PubMed

16.

Geurts JJ, Pouwels PJ, Uitdehaag BM, Polman CH, Barkhof F, Castelijns JA (2005) Intracortical lesions in multiple sclerosis: improved detection with 3D double inversion-recovery MR imaging. Radiology 236:254–260PubMedCrossRef

17.

Xu X, Wang Q, Zhang M (2008) Age, gender, and hemispheric differences in iron deposition in the human brain: an in vivo MRI study. NeuroImage 40:35–42PubMedCrossRef

18.

Pfefferbaum A, Adalsteinsson E, Rohlfing T, Sullivan EV (2009) MRI estimates of brain iron concentration in normal aging: comparison of field-dependent (FDRI) and phase (SWI) methods. NeuroImage 47:493–500PubMedCrossRef

19.

Vaillancourt DE, Spraker MB, Prodoehl J, Abraham I, Corcos DM, Zhou XJ, Comella CL, Little DM (2009) High-resolution diffusion tensor imaging in the substantia nigra of de novo Parkinson disease. Neurology 72:1378–1384PubMedCrossRef

20.

Peran P, Cherubini A, Assogna F, Piras F, Quattrocchi C, Peppe A, Celsis P, Rascol O, Demonet JF, Stefani A, Pierantozzi M, Pontieri FE, Caltagirone C, Spalletta G, Sabatini U (2010) Magnetic resonance imaging markers of Parkinson’s disease nigrostriatal signature. Brain 133:3423–3433PubMedCrossRef

21.

Jin L, Wang J, Zhao L, Jin H, Fei G, Zhang Y, Zeng M, Zhong C (2011) Decreased serum ceruloplasmin levels characteristically aggravate nigral iron deposition in Parkinson’s disease. Brain 134:50–58PubMedCrossRef

22.

Hornykiewicz O (1998) Biochemical aspects of Parkinson’s disease. Neurology 51:S2–S9PubMedCrossRef

23.

Schocke MFH, Seppi K, Esterhammer R, Kremser C, Jaschke W, Poewe W, Wenning GK (2002) Diffusion-weighted MRI differentiates the Parkinson variant of multiple system atrophy from PD. Neurology 58:575–580PubMedCrossRef

24.

Haller S, Badoud S, Nguyen D, Garibotto V, Lovblad KO, Burkhard PR (2012) Individual detection of patients with Parkinson disease using support vector machine analysis of diffusion tensor imaging data: initial results. AJNR Am J Neuroradiol [Epub ahead of print]

25.

Haller S, Badoud S, Nguyen D, Barnaure I, Montandon ML, Lovblad KO, Burkhard P (2012) Differentiation between Parkinson disease and other forms of Parkinsonism using support vector machine analysis of susceptibility-weighted imaging (SWI):initial results. Eur Radiol [Epub ahead of print]

26.

Gupta D, Saini J, Kesavadas C, Sarma PS, Kishore A (2010) Utility of susceptibility-weighted MRI in differentiating Parkinson’s disease and atypical parkinsonism. Neuroradiology 52:1087–1094PubMedCrossRef

27.

Focke NK, Helms G, Scheewe S, Pantel PM, Bachmann CG, Dechent P, Ebentheuer J, Mohr A, Paulus W, Trenkwalder C (2011) Individual voxel-based subtype prediction can differentiate progressive supranuclear palsy from idiopathic Parkinson syndrome and healthy controls. Hum Brain Mapp 32:1905–1915PubMedCrossRef

28.

Ozcift A (2012) SVM Feature selection based rotation forest ensemble classifiers to improve computer-aided diagnosis of Parkinson disease. J Med Syst 36:2141–2147PubMedCrossRef

29.

Eapen M, Zald DH, Gatenby JC, Ding Z, Gore JC (2011) Using high-resolution MR imaging at 7T to evaluate the anatomy of the midbrain dopaminergic system. AJNR Am J Neuroradiol 32:688–694PubMedCrossRef

Titel: Parkinson’s disease: diagnostic potential of high-resolution phase difference enhanced MR imaging at 3 T
verfasst von: Shingo Kakeda
Yukunori Korogi
Tetsuya Yoneda
Keita Watanabe
Junji Moriya
Yu Murakami
Toru Sato
Yasuhiro Hiai
Norihiro Ohnari
Satoru Ide
Kazumasa Okada
Takenori Uozumi
Sadatoshi Tsuji
Toshinori Hirai
Yasuyuki Yamashita
Publikationsdatum: 01.04.2013
Verlag: Springer-Verlag
Erschienen in: European Radiology / Ausgabe 4/2013
Print ISSN: 0938-7994
Elektronische ISSN: 1432-1084
DOI: https://doi.org/10.1007/s00330-012-2680-2

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Parkinson’s disease: diagnostic potential of high-resolution phase difference enhanced MR imaging at 3 T