Zusammenfassung
Hintergrund
Die klinische Diagnose eines idiopathischen Parkinson-Syndroms (IPS) kann schwierig sein. In solchen Fällen empfiehlt es sich, zusätzliche apparative Methoden einzusetzen.
Fragestellung
Dieser Artikel gibt einen Überblick über aktuelle und vielversprechende zukünftige Untersuchungsmethoden beim beginnenden IPS.
Ergebnisse
Die 1,5-Tesla-Magnetresonanztomographie (MRT) bzw. die Computertomographie sind v. a. zur Abgrenzung symptomatischer Parkinson-Syndrome etabliert. Neue MRT-Technologien (Diffusions-Tensor-Imaging-MRT, eisensensitive und neuromelaninsensitive Sequenzen im Hochfeld-MRT) können künftig vor allem für die Frühdiagnose Bedeutung erlangen. Für die Früh- und Differenzialdiagnostik ist die transkranielle B‑Bild-Sonographie der Substantia nigra und Basalganglien etabliert, insbesondere in der Kombination mit diagnostischen Markern, dies erfordert aber einen ausreichend geschulten Untersucher bzw. den Einsatz validierter digitaler Bildanalyseinstrumente. Von den nuklearmedizinischen Verfahren differenziert der DATScan das IPS gut vom essenziellen Tremor, medikamentösen Parkinsonoid und von psychogener Bewegungsstörung, nicht aber von den atypischen PS. Hingegen können die Fluorodesoxyglucose-Positronenemissionstomographie und die myokardiale MIBG-Szintigraphie die Abgrenzung zu atypischen PS unterstützen. Die Riechtestung ist für die routinemäßige Anwendung zu empfehlen, insbesondere in Kombination mit weiteren diagnostischen Markern. Dies trifft bislang nicht zu für genetische, laborchemische oder histologische Untersuchungen. Vielversprechend für die klinische Anwendung sind Verfahren zur sensorbasierten Detektion von Bewegungsstörungen.
Schlussfolgerung
Apparative Diagnoseverfahren können zur klareren Abgrenzung gegenüber Differenzialdiagnosen des IPS hilfreich sein.
Abstract
Background
The clinical diagnosis of idiopathic Parkinson’s disease (iPD) can be challenging. In these cases, additional diagnostic methods are available that can help to improve diagnostic accuracy.
Objectives, material and methods
This article provides an overview of currently available and promising novel ancillary methods for the early and differential diagnosis of iPD.
Results
Imaging tools, such as 1.5 Tesla magnetic resonance imaging (MRI) and computed tomography (CT) are mainly used for the differentiation between iPD and symptomatic parkinsonian syndromes (PS). High-resolution diffusion tensor imaging and iron and neuromelanin-sensitive high-field MRI sequences can become important in the future, particularly for earlier diagnosis. Transcranial B‑mode sonography of the substantia nigra and basal ganglia is established for early and differential diagnostics, especially in the combination of diagnostic markers but necessitates an adequately trained investigator and the use of validated digital image analysis instruments. DATScan can discriminate iPD from essential tremor, medication-induced parkinsonism and psychogenic movement disorder but not iPD from atypical PS. For the latter differential diagnosis, fluorodeoxyglucose positron emission tomography and myocardial metaiodobenzylguanidine scintigraphy can be helpful. Olfactory testing should preferably be used in combination with other diagnostic tests. Genetic, biochemical and histopathological tests are currently not recommended for routine use. Novel sensor-based techniques have a high potential to support clinical diagnosis of iPD but have not yet reached a developmental stage that is sufficient for clinical use. Novel sensor-based techniques have high potential to support clinical diagnosis of iPD, but have not yet reached a development stage that is sufficient for clinical use.
Conclusion
Ancillary diagnostic methods can support the early and differential diagnosis of iPD.
Literatur
Berardelli A, Wenning GK, Antonini A, Berg D, Bloem BR, Bonifati V, Brooks D, Burn DJ, Colosimo C, Fanciulli A, Ferreira J, Gasser T, Grandas F, Kanovsky P, Kostic V, Kulisevsky J, Oertel W, Poewe W, Reese JP, Relja M, Ruzicka E, Schrag A, Seppi K, Taba P, Vidailhet M (2013) EFNS/MDS-ES/ENS [corrected] recommendations for the diagnosis of Parkinson’s disease. Eur J Neurol 20(1):16–34. doi:10.1111/ene.12022
Deuschl GOW, Reichmann H, Dams J, Dodel R (2016) Leitlinien für Diagnostik und Therapie in der Neurologie: Idiopathisches Parkinson-Syndrom. Entwicklungsstufe: S3. http://www.dgn.org/images/red_leitlinien/LL_2016/PDFs_Download/030010_LL_langfassung_ips_2016.pdf. Zugegriffen: 01.01.2017
Berg D, Postuma RB, Adler CH, Bloem BR, Chan P, Dubois B, Gasser T, Goetz CG, Halliday G, Joseph L, Lang AE, Liepelt-Scarfone I, Litvan I, Marek K, Obeso J, Oertel W, Olanow CW, Poewe W, Stern M, Deuschl G (2015) MDS research criteria for prodromal Parkinson’s disease. Mov Disord 30(12):1600–1611. doi:10.1002/mds.26431
Mahlknecht P, Hotter A, Hussl A, Esterhammer R, Schocke M, Seppi K (2010) Significance of MRI in diagnosis and differential diagnosis of Parkinson’s disease. Neurodegener Dis 7(5):300–318. doi:10.1159/000314495
Postuma RB, Berg D, Stern M, Poewe W, Olanow CW, Oertel W, Obeso J, Marek K, Litvan I, Lang AE, Halliday G, Goetz CG, Gasser T, Dubois B, Chan P, Bloem BR, Adler CH, Deuschl G (2015) MDS clinical diagnostic criteria for Parkinson’s disease. Mov Disord 30(12):1591–1601. doi:10.1002/mds.26424
Meijer FJ, Aerts MB, Abdo WF, Prokop M, Borm GF, Esselink RA, Goraj B, Bloem BR (2012) Contribution of routine brain MRI to the differential diagnosis of parkinsonism: a 3-year prospective follow-up study. J Neurol 259(5):929–935. doi:10.1007/s00415-011-6280-x
Aerts MB, Esselink RA, Abdo WF, Meijer FJ, Drost G, Norgren N, Janssen MJ, Borm GF, Bloem BR, Verbeek MM (2015) Ancillary investigations to diagnose parkinsonism: a prospective clinical study. J Neurol 262(2):346–356. doi:10.1007/s00415-014-7568-4
Seppi K, Schocke MF, Esterhammer R, Kremser C, Brenneis C, Mueller J, Boesch S, Jaschke W, Poewe W, Wenning GK (2003) Diffusion-weighted imaging discriminates progressive supranuclear palsy from PD, but not from the parkinson variant of multiple system atrophy. Neurology 60(6):922–927
Meijer FJ, van Rumund A, Tuladhar AM, Aerts MB, Titulaer I, Esselink RA, Bloem BR, Verbeek MM, Goraj B (2015) Conventional 3T brain MRI and diffusion tensor imaging in the diagnostic workup of early stage parkinsonism. Neuroradiology 57(7):655–669. doi:10.1007/s00234-015-1515-7
Planetta PJ, Ofori E, Pasternak O, Burciu RG, Shukla P, DeSimone JC, Okun MS, McFarland NR, Vaillancourt DE (2016) Free-water imaging in Parkinson’s disease and atypical Parkinsonism. Brain 139(Pt 2):495–508. doi:10.1093/brain/awv361
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(16):1378–1384. doi:10.1212/01.wnl.0000340982.01727.6e
Reiter E, Mueller C, Pinter B, Krismer F, Scherfler C, Esterhammer R, Kremser C, Schocke M, Wenning GK, Poewe W, Seppi K (2015) Dorsolateral nigral hyperintensity on 3.0T susceptibility-weighted imaging in neurodegenerative Parkinsonism. Mov Disord 30(8):1068–1076. doi:10.1002/mds.26171
Blazejewska AI, Schwarz ST, Pitiot A, Stephenson MC, Lowe J, Bajaj N, Bowtell RW, Auer DP, Gowland PA (2013) Visualization of nigrosome 1 and its loss in PD: pathoanatomical correlation and in vivo 7 T MRI. Neurology 81(6):534–540. doi:10.1212/WNL.0b013e31829e6fd2
Acosta-Cabronero J, Cardenas-Blanco A, Betts MJ, Butryn M, Valdes-Herrera JP, Galazky I, Nestor PJ (2016) The whole-brain pattern of magnetic susceptibility perturbations in Parkinson’s disease. Brain. doi:10.1093/brain/aww278
Ohtsuka C, Sasaki M, Konno K, Kato K, Takahashi J, Yamashita F, Terayama Y (2014) Differentiation of early-stage parkinsonisms using neuromelanin-sensitive magnetic resonance imaging. Parkinsonism Relat Disord 20(7):755–760. doi:10.1016/j.parkreldis.2014.04.005
Reimao S, Ferreira S, Nunes RG, Pita Lobo P, Neutel D, Abreu D, Goncalves N, Campos J, Ferreira JJ (2016) Magnetic resonance correlation of iron content with neuromelanin in the substantia nigra of early-stage Parkinson’s disease. Eur J Neurol 23(2):368–374. doi:10.1111/ene.12838
Brodoehl S, Klingner C, Volk GF, Bitter T, Witte OW, Redecker C (2012) Decreased olfactory bulb volume in idiopathic Parkinson’s disease detected by 3.0-tesla magnetic resonance imaging. Mov Disord 27(8):1019–1025. doi:10.1002/mds.25087
Paschen L, Schmidt N, Wolff S, Cnyrim C, van Eimeren T, Zeuner KE, Deuschl G, Witt K (2015) The olfactory bulb volume in patients with idiopathic Parkinson’s disease. Eur J Neurol 22(7):1068–1073. doi:10.1111/ene.12709
Sengoku R, Matsushima S, Bono K, Sakuta K, Yamazaki M, Miyagawa S, Komatsu T, Mitsumura H, Kono Y, Kamiyama T, Ito K, Mochio S, Iguchi Y (2015) Olfactory function combined with morphology distinguishes Parkinson’s disease. Parkinsonism Relat Disord 21(7):771–777. doi:10.1016/j.parkreldis.2015.05.001
Kassubek J, Muller HP (2016) Computer-based magnetic resonance imaging as a tool in clinical diagnosis in neurodegenerative diseases. Expert Rev Neurother 16(3):295–306. doi:10.1586/14737175.2016.1146590
Becker G, Seufert J, Bogdahn U, Reichmann H, Reiners K (1995) Degeneration of substantia nigra in chronic Parkinson’s disease visualized by transcranial color-coded real-time sonography. Neurology 45(1):182–184
Berg D, Godau J, Walter U (2008) Transcranial sonography in movement disorders. Lancet Neurol 7(11):1044–1055. doi:10.1016/S1474-4422(08)70239-4
Berg D, Behnke S, Seppi K, Godau J, Lerche S, Mahlknecht P, Liepelt-Scarfone I, Pausch C, Schneider N, Gaenslen A, Brockmann K, Srulijes K, Huber H, Wurster I, Stockner H, Kiechl S, Willeit J, Gasperi A, Fassbender K, Gasser T, Poewe W (2013) Enlarged hyperechogenic substantia nigra as a risk marker for Parkinson’s disease. Mov Disord 28(2):216–219. doi:10.1002/mds.25192
Iranzo A, Lomena F, Stockner H, Valldeoriola F, Vilaseca I, Salamero M, Molinuevo JL, Serradell M, Duch J, Pavia J, Gallego J, Seppi K, Hogl B, Tolosa E, Poewe W, Santamaria J, Sleep Innsbruck Barcelona (SINBAR) group (2010) Decreased striatal dopamine transporter uptake and substantia nigra hyperechogenicity as risk markers of synucleinopathy in patients with idiopathic rapid-eye-movement sleep behaviour disorder: a prospective study [corrected]. Lancet Neurol 9(11):1070–1077. doi:10.1016/S1474-4422(10)70216-7
Busse K, Heilmann R, Kleinschmidt S, Abu-Mugheisib M, Hoppner J, Wunderlich C, Gemende I, Kaulitz L, Wolters A, Benecke R, Walter U (2012) Value of combined midbrain sonography, olfactory and motor function assessment in the differential diagnosis of early Parkinson’s disease. J Neurol Neurosurg Psychiatr 83(4):441–447. doi:10.1136/jnnp-2011-301719
Gaenslen A, Wurster I, Brockmann K, Huber H, Godau J, Faust B, Lerche S, Eschweiler GW, Maetzler W, Berg D (2014) Prodromal features for Parkinson’s disease – baseline data from the TREND study. Eur J Neurol 21(5):766–772. doi:10.1111/ene.12382
Walter U, Heilmann R, Kaulitz L, Just T, Krause BJ, Benecke R, Hoppner J (2015) Prediction of Parkinson’s disease subsequent to severe depression: a ten-year follow-up study. J Neural Transm (Vienna) 122(6):789–797. doi:10.1007/s00702-014-1313-0
Walter U, Dressler D, Probst T, Wolters A, Abu-Mugheisib M, Wittstock M, Benecke R (2007) Transcranial brain sonography findings in discriminating between parkinsonism and idiopathic Parkinson disease. Arch Neurol 64(11):1635–1640. doi:10.1001/archneur.64.11.1635
Gaenslen A, Unmuth B, Godau J, Liepelt I, Di Santo A, Schweitzer KJ, Gasser T, Machulla HJ, Reimold M, Marek K, Berg D (2008) The specificity and sensitivity of transcranial ultrasound in the differential diagnosis of Parkinson’s disease: a prospective blinded study. Lancet Neurol 7(5):417–424. doi:10.1016/S1474-4422(08)70067-X
Walter U, Skoloudik D (2014) Transcranial sonography (TCS) of brain parenchyma in movement disorders: quality standards, diagnostic applications and novel technologies. Ultraschall Med 35(4):322–331. doi:10.1055/s-0033-1356415
Behnke S, Hellwig D, Burmann J, Runkel A, Farmakis G, Kirsch CM, Fassbender K, Becker G, Dillmann U, Spiegel J (2013) Evaluation of transcranial sonographic findings and MIBG cardiac scintigraphy in the diagnosis of idiopathic Parkinson’s disease. Parkinsonism Relat Disord 19(11):995–999. doi:10.1016/j.parkreldis.2013.06.019
Fujita H, Suzuki K, Numao A, Watanabe Y, Uchiyama T, Miyamoto T, Miyamoto M, Hirata K (2016) Usefulness of cardiac MIBG scintigraphy, olfactory testing and substantia nigra hyperechogenicity as additional diagnostic markers for distinguishing between Parkinson’s disease and atypical Parkinsonian syndromes. PLOS ONE 11(11):e0165869. doi:10.1371/journal.pone.0165869
Skoloudik D, Fadrna T, Bartova P, Langova K, Ressner P, Zapletalova O, Hlustik P, Herzig R, Kannovsky P (2007) Reproducibility of sonographic measurement of the substantia nigra. Ultrasound Med Biol 33(9):1347–1352. doi:10.1016/j.ultrasmedbio.2007.03.013
van de Loo S, Walter U, Behnke S, Hagenah J, Lorenz M, Sitzer M, Hilker R, Berg D (2010) Reproducibility and diagnostic accuracy of substantia nigra sonography for the diagnosis of Parkinson’s disease. J Neurol Neurosurg Psychiatr 81(10):1087–1092. doi:10.1136/jnnp.2009.196352
Berg D (2011) Hyperechogenicity of the substantia nigra: pitfalls in assessment and specificity for Parkinson’s disease. J Neural Transm (Vienna) 118(3):453–461. doi:10.1007/s00702-010-0469-5
Walter U (2013) How to measure substantia nigra hyperechogenicity in Parkinson disease: detailed guide with video. J Ultrasound Med 32(10):1837–1843. doi:10.7863/ultra.32.10.1837
Skoloudik D, Jelinkova M, Blahuta J, Cermak P, Soukup T, Bartova P, Langova K, Herzig R (2014) Transcranial sonography of the substantia nigra: digital image analysis. AJNR Am J Neuroradiol 35(12):2273–2278. doi:10.3174/ajnr.A4049
Mo SJ, Linder J, Forsgren L, Larsson A, Johansson L, Riklund K (2010) Pre- and postsynaptic dopamine SPECT in the early phase of idiopathic parkinsonism: a population-based study. Eur J Nucl Med Mol Imaging 37(11):2154–2164. doi:10.1007/s00259-010-1520-3
Eckert T, Barnes A, Dhawan V, Frucht S, Gordon MF, Feigin AS, Eidelberg D (2005) FDG PET in the differential diagnosis of parkinsonian disorders. Neuroimage 26(3):912–921. doi:10.1016/j.neuroimage.2005.03.012
Hellwig S, Amtage F, Kreft A, Buchert R, Winz OH, Vach W, Spehl TS, Rijntjes M, Hellwig B, Weiller C, Winkler C, Weber WA, Tuscher O, Meyer PT (2012) [(1)(8)F]FDG-PET is superior to [(1)(2)(3)I]IBZM-SPECT for the differential diagnosis of Parkinsonism. Neurology 79(13):1314–1322. doi:10.1212/WNL.0b013e31826c1b0a
Meyer PT, Amtage F, Hellwig S (2014) Differential diagnostics of Parkinson’s disease with nuclear medicine procedures. Nervenarzt 85(6):680–689. doi:10.1007/s00115-013-3995-1
Nagayama H, Hamamoto M, Ueda M, Nagashima J, Katayama Y (2005) Reliability of MIBG myocardial scintigraphy in the diagnosis of Parkinson’s disease. J Neurol Neurosurg Psychiatr 76(2):249–251. doi:10.1136/jnnp.2004.037028
Herting B, Bietenbeck S, Scholz K, Hahner A, Hummel T, Reichmann H (2008) Olfactory dysfunction in Parkinson’s disease: its role as a new cardinal sign in early and differential diagnosis. Nervenarzt 79(2):175–184. doi:10.1007/s00115-007-2326-9
Sauerbier A, Qamar MA, Rajah T, Chaudhuri KR (2016) New concepts in the pathogenesis and presentation of Parkinson’s disease. Clin Med (Lond) 16(4):365–370. doi:10.7861/clinmedicine.16-4-365
Doppler K, Volkmann J, Sommer C (2016) Skin biopsies in the differential diagnosis of parkinsonism: are we ready for simplified protocols? Brain 139(Pt 1):e5. doi:10.1093/brain/awv251
van Uem JM, Isaacs T, Lewin A, Bresolin E, Salkovic D, Espay AJ, Matthews H, Maetzler W (2016) A viewpoint on wearable technology-enabled measurement of wellbeing and health-related quality of life in Parkinson’s disease. J Parkinsons Dis 6(2):279–287. doi:10.3233/JPD-150740
Hallett M, Rothwell J (2011) Milestones in clinical neurophysiology. Mov Disord 26(6):958–967. doi:10.1002/mds.23572
van Uem JM, Maier KS, Hucker S, Scheck O, Hobert MA, Santos AT, Fagerbakke O, Larsen F, Ferreira JJ, Maetzler W (2016) Twelve-week sensor assessment in Parkinson’s disease: Impact on quality of life. Mov Disord 31(9):1337–1338. doi:10.1002/mds.26676
Martinez-Martin P, Rodriguez-Blazquez C, Frades-Payo B (2008) Specific patient-reported outcome measures for Parkinson’s disease: analysis and applications. Expert Rev Pharmacoecon Outcomes Res 8(4):401–418. doi:10.1586/14737167.8.4.401
Vitale C, Pellecchia MT, Grossi D, Fragassi N, Cuomo T, Di Maio L, Barone P (2001) Unawareness of dyskinesias in Parkinson’s and Huntington’s diseases. Neurol Sci 22(1):105–106
Parveen S (2016) Comparison of self and proxy ratings for motor performance of individuals with Parkinson disease. Brain Cogn 103:62–69. doi:10.1016/j.bandc.2016.01.006
Louis ED (2015) More time with tremor: the experience of essential tremor versus Parkinson’s disease patients. Mov Disord Clin Pract 3(1):36–42. doi:10.1002/mdc3.12207
Zach H, Dirkx M, Pasman JW, Bloem BR, Helmich RC (2016) The patient’s perspective: the effect of levodopa on Parkinson symptoms. Parkinsonism Relat Disord. doi:10.1016/j.parkreldis.2016.11.015
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Interessenkonflikt
U. Walter, H. Zach, I. Liepelt-Scarfone und W. Maetzler geben an, dass kein Interessenkonflikt besteht.
Dieser Beitrag beinhaltet keine von den Autoren durchgeführten Studien an Menschen oder Tieren.
Rights and permissions
About this article
Cite this article
Walter, U., Zach, H., Liepelt-Scarfone, I. et al. Hilfreiche Zusatzuntersuchungen beim idiopathischen Parkinson-Syndrom. Nervenarzt 88, 365–372 (2017). https://doi.org/10.1007/s00115-017-0289-z
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00115-017-0289-z