Diagnostyka obrazowa okiem neurologa

• Autorzy: Leksa Natalia , Truszkiewicz Adrian , Aebisher David , Bartusik-Aebisher Dorota

Warianty tytułu

EN

Imaging diagnostics through the eyes of a neurologist

• Języki publikacji: PL

Abstrakty

PL

W diagnostyce chorób układu nerwowego dostępne jest szerokie spektrum metod diagnostycznych. Niektóre są wykonywane powszechnie, inne tylko w ośrodkach specjalistycznych. W opracowaniu poniżej omówiliśmy badania obrazowe stosowane w diagnostyce chorób neurologicznych. Szeroko omówiona diagnostyka w kontekście neurologicznym pozwala na uwypuklenie potrzeb, jakie istnieją w tym zakresie z punktu widzenia lekarza neurologa. Pokazano również wartości różnych badań dla różnych schorzeń neurologicznych. Praca ta nie może wyczerpać tematu, jakim jest diagnostyka obrazowa okiem neurologa, ze względu na rozległość tematyki. Założeniem jej jest dokonanie przeglądu dostępnych metod obrazowania i ukazanie ich wartości w leczeniu pacjentów.

EN

A wide spectrum of diagnostic methods are available in the diagnosis of nervous system diseases. Some are commonly performed, others only in specialist centers. In the study below, we discussed imaging tests used to diagnose neurological diseases. The broadly discussed diagnostics in the neurological context allow to highlight the needs that exist in this regard from the point of view of the neurologist. The values of various studies for various neurological diseases are also shown. This work cannot exhaust the topic of diagnostic imaging through the eyes of a neurologist due to the extent of the subject. Its assumption is to review the available imaging methods and show their value in treating patients.

Słowa kluczowe

PL

spektroskopia; diagnostyka obrazowa; KT; MR; USG; PET; SPECT; angiografia

EN

spectroscopy; diagnostic imaging; CT; MR; USG; PET; SPECT; angiography

• Wydawca: Indygo Zahir Media
• Czasopismo: Inżynier i Fizyk Medyczny
• Rocznik: 2019
• Tom: Vol. 8, nr 5
• Strony: 363--370
• Opis fizyczny: Bibliogr. 58 poz., tab.

Twórcy

autor

Leksa Natalia

• Collegium Medicum, Uniwersytet Rzeszowski, al. Rejtana 16c, 35-959 Rzeszów

autor

Truszkiewicz Adrian

• Collegium Medicum, Uniwersytet Rzeszowski, al. Rejtana 16c, 35-959 Rzeszów

autor

Aebisher David

• Collegium Medicum, Uniwersytet Rzeszowski, al. Rejtana 16c, 35-959 Rzeszów

autor

Bartusik-Aebisher Dorota

• Collegium Medicum, Uniwersytet Rzeszowski, al. Rejtana 16c, 35-959 Rzeszów

Bibliografia

• 1. J. Zizmor, A.M. Noyek: Inflammatory diseases of the temporal bone, Radiol Clin North Am., 12(3), 1974, 491-504.
• 2. I.R. Young, A.S. Hall, C.A. Pallis, N.J. Legg, G.M. Bydder, R.E. Steiner: Nuclear magnetic resonance imaging of the brain in multiple sclerosis, Lancet, 2(8255), 1981, 1063-1066.
• 3. B. Góraj: Usefulness of trans-fontanel ultrasonography in the diagnosis of various pathological changes in the brain of infants. I. Comparison of diagnostic value of USG and CT, Pediatr Pol., 64(10-12), 1989, 593-599.
• 4. S.H. Ferris, M.J. de Leon, A.P. Wolf, T. Farkas, D.R. Christman, B. Reisberg, J.S. Fowler, R . Macgregor, A. Goldman, A.E. George, S. Rampal: Positron emission tomography in the study of aging and senile dementia, Neurobiol Aging, 1(2), 1980, 127-131.
• 5. G. Witkowski, D. Ryglewicz: CT perfuzyjne w ostrym okresie udaru niedokrwiennego mózgu – czy może zastąpić ocenę penumbry za pomocą MRI?, Polski Przegląd Neurologiczny, 4(supl. A), 2008.
• 6. S. Ogawa: Finding the BOLD effect in brain images, NeuroImage, 62, 2012, 608-609.
• 7. A.R. Martin, I. Aleksanderek, J. Cohen-Adad, Z. Tarmohamed, L. Tetreault, N. Smith, D.W. Cadotte, A. Crawley, H. Ginsberg, D.J. Mikulis, M.G. Fehlings: Translating state-of-the-art spinal cord MRI techniques to clinical use: A systematic review of clinical studies utilizing DTI, MT, MWF, MRS, and fMRI, Neuroimage Clin., 10, 2015, 192-238.
• 8. S. Maknojia, N.W. Churchill, T.A. Schweizer, S.J. Graham: Resting State fMRI: Going Through the Motions, Front Neurosci., 13, 2019, 825.
• 9. K. Pierce: Early functional brain development in autism and the promise of sleep fMRI, Brain Res. 2011 Mar 22; 1380: 162-74.
• 10. S.M. Haigh, A. Gupta, S.M. Barb, S.A.F. Glass, N.J. Minshew, I. Dinstein, D.J. Heeger, S.M. Eack, M. Behrmann: Differential sensory fMRI signatures in autism and schizophrenia: Analysis of amplitude and trial-to-trial variability, Schizophr Res., 175(1-3), 2016, 12-19.
• 11. Z. Zhao, X. Wang, M. Fan, D. Yin, L. Sun, J. Jia, C. Tang, X. Zheng, Y. Jiang, J. Wu, J. Gong: Altered Effective Connectivity of the Primary Motor Cortex in Stroke: A Resting-State fMRI Study with Granger Causality Analysis, PLoS One, 11(11), 2016,e0166210.
• 12. N. Khanna, W. Altmeyer, J. Zhuo, A. Steven: Functional Neuroimaging: Fundamental Principles and Clinical Applications, Neuroradiol J., 28(2), 2015, 87-96.
• 13. P. Vitali, C. Di Perri, A.E. Vaudano, S. Meletti, F. Villani: Integration of multimodal neuroimaging methods: a rationale for clinical applications of simultaneous EEG-fMRI, Funct Neurol., 30(1), 2015, 9-20.
• 14. M.H. Lee, C.D. Smyser, J.S. Shimony: Resting-state fMRI: a review of methods and clinical applications, AJNR Am J Neuroradiol., 34(10), 2013, 1866-1872.
• 15. A.J.H. Moonen, P.H. Weiss, M. Wiesing, R. Weidner, G.R. Fink, J.S.A.M. Reijnders, W.M. Weber, A.F.G. Leentjens: An fMRI study into emotional processing in Parkinson’s disease: Does increased medial prefrontal activation compensate for striatal dysfunction?, PLoS One, 12(5), 2017, e0177085.
• 16. B. Heim, F. Krismer, R. De Marzi, K. Seppi: Magnetic resonance imaging for the diagnosis of Parkinson’s disease, J Neural Transm (Vienna), 124(8), 2017, 915-964.
• 17. J.L. Whitwell, R. Avula, A. Mistrz, P. Vemuri, M.L. Senjem, D.T. Jones, C.R.J. Jack, K.A. Josephs: Disrupted thalamocortical connectivity in PSP: a resting-state fMRI, DTI, and VBM study, Parkinsonism Relat Disord., 17(8), 2011,599-605.
• 18. W.J. Huang, W.W. Chen, X. Zhang: Multiple sclerosis: Pathology, diagnosis and treatments, Exp Ther Med., 13(6), 3163-3166.
• 19. L. Bonzano, M. Pardini, L. Roccatagliata, G.L. Mancardi, M. Bove: How people with multiple sclerosis cope with a sustained finger motor task: A behavioural and fMRI study, Behavioural Brain Research, 325, 2017, 63-71.
• 20. K.R. Mahajan, D. Ontaneda: The Role of Advanced Magnetic Resonance Imaging Techniques in Multiple Sclerosis Clinical Trials, Neurotherapeutics, 2017, doi: 10.1007/s13311-017-0561-8.
• 21. M. Centeno, T.M. Tierney, S. Perani, E.A. Shamshiri, K. St Pier, C. Wilkinson, D. Konn, S. Vulliemoz, F. Grouiller, L. Lemieux, R.M. Pressler, C.A. Clark, J.H. Cross, D.W. Carmichael: Combined electroencephalography-functional magnetic resonance imaging and electrical source imaging improves localization of pediatric focal epilepsy, Ann Neurol., 82(2), 2017, 278-287.
• 22. M. Centeno, T.M. Tierney, S. Perani, E.A. Shamshiri, K. StPier, C. Wilkinson, D. Konn, T. Banks, S. Vulliemoz, L. Lemieux, R.M. Pressler, C.A. Clark, J.H. Cross, D.W. Carmichael: Optimising EEG-fMRI for Localisation of Focal Epilepsy in Children, PLoS One., 11(2), 2016, e0149048.
• 23. L. Dong, H. Li, Z. He, S. Jiang, B. Klugah-Brown, L. Chen, P. Wang, S. Tan, C. Luo, D. Yao: Altered local spontaneous activity in frontal lobe epilepsy: a resting state functional magnetic resonance imaging study, Brain Behav., 6(11), 2016, e00555.
• 24. C.J. Aine, H.J. Bockholt, J.R. Bustillo, J.M. Cañive, A. Caprihan, C. Gasparovic, F.M. Hanlon, J.M. Houck, R.E. Jung, J. Lauriello, J. Liu, A.R. Mayer, N.I. Perrone-Bizzozero, S. Posse, J.M. Stephen, J.A. Turner, V.P. Clark, V.D. Calhoun: Multimodal Neuroimaging in Schizophrenia: Description and Dissemination, Neuroinformatics, 2017, doi: 10.1007/s12021-017-9338.
• 25. S. Wang, Y. Zhang, L. Lv, R. Wu, X. Fan, J. Zhao, W. Guo: Abnormal regional homogeneity as a potential imaging biomarker for adolescent-onset schizophrenia: A resting-state fMRI study and support vector machine analysis, Schizophr Res., 2017, pii: S0920-9964(17)30315-8.
• 26. S.J. Owens, C.E. Murphy, T.D. Purves-Tyson, T.W. Weickert,C. Shannon Weickert: Considering the role of adolescent sex steroidsin schizophrenia, J Neuroendocrinol, 2017.
• 27. E.J. Rummeny, P. Reimer, W. Heindel: Obrazowanie ciała metodą rezonansu magnetycznego, Redaktor wdania polskiego Marek Sąsiadek, Medmedia, 2010, 34-35.
• 28. M. Mitolo, M. Stanzani-Maserati, S. Capellari, C. Testa, P. Rucci, R. Poda, F. Oppi, R. Gallassi, L. Sambati, G. Rizzo, P. Parchi, S. Evangelisti, L. Talozzi, C. Tonon, R. Lodi, R. Liguori: Predicting conversion from mild cognitive impairment to Alzheimer’s disease using brain 1H-MRS and volumetric changes: A two- year retrospective follow-up study, Neuroimage Clin., 23, 2019, 101843.
• 29. Y. Takado, N. Sato, Y. Kanbe, M. Tomiyasu, L. Xin, J. Near, K. Yoshikawa, N. Sahara, T. Higashi, T. Suhara, M. Higuchi, T. Obata: Association between Brain and Plasma Glutamine Levels in Healthy Young Subjects Investigated by MRS and LC/MS, Nutrients., 11(7), 2019.
• 30. X.Q. Zhu, X. Zhou, W. Zhao, Y.M. Zhang, F.J. Liu, J. Cao, Z.W. Sun: Effect of apolipoprotein E genotype on magnetic resonance spectrum in amnestic mild cognitive impairment and Alzheimer’s disease, Zhonghua Yi Xue Za Zhi., 99(15), 2019, 1156-1161.
• 31. P.E. Sijens, J.P. Mostert, R. Irwan, J.H. Potze, M. Oudkerk, J. De Keyser: Impact of fluoxetine on the human brain in multiple sclerosis as quantified by proton magnetic resonance spectroscopy and diffusion tensor imaging, Psychiatry Res., 164(3), 2008, 274-282.
• 32. A. Ponnada Narayana: Magnetic Resonance Spectroscopy in the Monitoring of Multiple Sclerosis, J Neuroimaging., 15(4 Suppl), 2005, 46-57.
• 33. O. Al-Iedani, J. Lechner-Scott, K. Ribbons: Ramadan S, Fast magnetic resonance spectroscopic imaging techniques in human brain-applications in multiple sclerosis, J Biomed Sci., 24(1), 2017, 17.
• 34. W. Zhang, N. Ning, X. Li, G. Niu, L. Bai, Y. Guo, J. Yang: Changes of Brain Glucose Metabolism in the Pretreatment Patients with Non-Small Cell Lung Cancer: A Retrospective PET/CT Study, PLoS On, 11(8), 2016, e0161325.
• 35. R.F. Gohmann, C. Blume, M. Zvyagintsev, V. Mainz, H. Clusmann, M. Wiesmann, M.A. Brockmann, C.A. Mueller: Cervical spondylotic myelopathy: Changes of fractional anisotropy in the spinal cord and magnetic resonance spectroscopy of the primary motor cortex in relation to clinical symptoms and their duration, Eur J Radiol., 116, 2019, 55-60.
• 36. P.O. Wyss, E. Huber, A. Curt, S. Kollias, P. Freund, A. Henning: MR Spectroscopy of the Cervical Spinal Cord in Chronic Spinal Cord Injury, Radiology, 291(1), 2019, 131-138.
• 37. M. Klietz, P. Bronzlik, P. Nösel, F. Wegner, D.W. Dressler, M. Dadak, A.A. Maudsley, S. Sheriff, H. Lanfermann, X.Q. Ding: Altered Neurometabolic Profile in Early Parkinson’s Disease: A Study With Short Echo-Time Whole Brain MR Spectroscopic Imaging, Front Neurol., 10, 2019, 777.
• 38. J. Ren, A.D. Sherry, C.R. Malloy: (31)P-MRS of healthy human brain: ATP synthesis, metabolite concentrations, pH, and T1 relaxation times, NMR Biomed., 28(11), 2015, 1455-1462.
• 39. J. Ren, A.D. Sherry, C.R. Malloy: Band inversion amplifies 31 P-31 P nuclear overhauser effects: Relaxation mechanism and dynamic behavior of ATP in the human brain by 31 P MRS at 7 T, Magn Reson Med.. 77(4), 2017, 1409-1418.
• 40. R.F. Sousa, J. Levy, J. Campos, L. Luis: Bilateral Inferior Vestibular Nerve Lesion a Late Neurotoxic Effect of Liposoluble Myelographic Contrast Agent: Case Report with Imaging and Electrophysiological Confirmation, Clin Neuroradiol., 29(1), 2019, 163-165.
• 41. Y. Yang, K. Carr, Y. Serulle, R. Shivashankar: MRI myelography for diagnosis and targeted blood patching of multilevel thoracic spine CSF leaks: Report of 2 cases, Radiol Case Rep., 14(8), 981-985.
• 42. W.D. Heiss, J. Sobesky: Comparison of PET and DW/PW-MRI in acute ischemic stroke, Keio J Med., 57(3), 2008, 125-131.
• 43. H.Y. Wey, V.R. Desai, T.Q. Duong: A review of current imaging methods used in stroke research, Neurol Res., 35(10), 2013, 1092-1102.
• 44. H. Schneider, J.F. Thornton, M.A. Freeman, M.K. McLean, M.J. van Lierop, J. Schneider: Conventional SPECT Versus 3D Thresholded SPECT Imaging in the Diagnosis of ADHD: A Retrospective Study, J Neuropsychiatry Clin Neurosci., 26(4), 2014, 335-343.
• 45. S. Karande, N. Deshmukh, V. Rangarajan, A. Agrawal: Sholapurwala R.Brain SPECT scans in students with specific learning disability: Preliminary results, J Postgrad Med., 65(1), 2019, 33-37.
• 46. F.A. Catherine, V. Aurélie, G. Eric, M. Pierre, R. Raphaëlle, A. Marine, A. Pascal, L. Christophe, B. Laurent: Defining functioning levels in patients with schizophrenia: A combination of a novel clustering method and brain SPECT analysis, Psychiatry Res Neuroimaging., 270, 2017, 32-38.
• 47. D.G. Amen, P. Krishnamani, S. Meysami, A. Newberg, C.A. Raji: Classification of Depression, Cognitive Disorders, and Co-Morbid Depression and Cognitive Disorders with Perfusion SPECT Neuroimaging, J Alzheimers Dis., 57(1), 2017, 253-266.
• 48. C.A. Sanchez-Catasus, G.N. Stormezand, P.J. van Laar, P.P. De Deyn, M.A. Sanchez, R.A. Dierckx: FDG-PET for Prediction of AD Dementia in Mild Cognitive Impairment. A Review of the State of the Art with Particular Emphasis on the Comparison with Other Neuroimaging Modalities (MRI and Perfusion SPECT), Curr Alzheimer Res., 14(2), 2017, 127-142.
• 49. W.H. Theodore: Presurgical Focus Localization in Epilepsy: PET and SPECT, Semin Nucl Med., 47(1), 2017, 44-53.
• 50. E.L. Ergün, S. Saygi, D. Yalnizoglu, K.K. Oguz, B. Erbas: SPECT-PET in Epilepsy and Clinical Approach in Evaluation, Semin Nucl Med., 46(4), 2016, 294-307.
• 51. H. Castagnoli, C. Manni, F. Marchesani, G. Rossi, S. Fattori, F. Capoccetti: The role of 18F-FDG PET/CT in management of paraneoplastic limbic encephalitis combined with small cell lung cancer: A case report, Medicine (Baltimore), 98(35), 2019, e16593.
• 52. H.L. Lee, J.S. Kim, H. Kim, I.S. Kim, J.W. Kim, Y.E. Kim, S.B. Koh: Ultrasonography and electrophysiological study of median nerve in patients with essential tremor, PLoS One, 14(4), 2019, e0215750.
• 53. A. Aggarwal, D.N. Srivastava, M. Jana, R. Sharma, S. Gamanagatti, A. Kumar, V. Kumar, R. Malhotra, V. Goyal, K. Garg: Comparison of Different Sequences of Magnetic Resonance Imaging and Ultrasonography with Nerve Conduction Studies in Peripheral Neuropathies, World Neurosurg., 108, 2017, 185-200.
• 54. R.S. Brock, M.A. Taricco, M.F. de Oliveira, M. de Lima Oliveira, M.J. Teixeira, E. Bor-Seng-Shu: Intraoperative Ultrasonography for Definition of Less Invasive Surgical Technique in Patients with Chiari Type I Malformation, World Neurosurg., 101, 2017, 466-475.
• 55. A. Kudrevičienė, A. Basevičius, S. Lukoševičius, J. Laurynaitienė, V. Marmienė, I. Nedzelskienė, J. Buinauskienė, D. Stonienė, R. Tamelienė: The value of ultrasonography and Doppler sonography in prognosticating long-term outcomes among full-term newborns with perinatal asphyxia, Medicina (Kaunas), 50(2), 2014, 100-110.
• 56. B. Chipczyńska, M. Grałek, A . Trzebicka, W. Hautz, K. Kanigowska, D. Klimczak-Slaczka: Bilateral optic nerve sheath meningioma (ONSM) – diagnostic and therapeutic problems, Klin Oczna, 108(4-6), 2006, 202-205.
• 57. S.K. Jaiswal, Y. F -Ling, L. Gu, R. Lico, F. Changyong, A. Paula: Accuracy of Transcranial Doppler Ultrasound Compared with Magnetic Resonance Angiography in the Diagnosis of Intracranial Artery Stenosis, J Neurosci Rural Pract., 10(3), 2019, 400-404.
• 58. G. Zhou, X. Zhao, Z. Lou, S. Zhou, P. Shan, N. Zheng, X. Yu, L. Ma: Impaired Cerebral Autoregulation in Alzheimer’s Disease: A Transcranial Doppler Study, J Alzheimers Dis., 2019.

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).