The Role of Imaging in Examining Neurological Disorders; Assessing Brain, Stroke, and Neurological Disorders Using CT and MRI Imaging
Authore(s) : Shoaa G. Shetewi || Department of RadiologyKing Abdulaziz University HospitalJeddahKSA.
Volume : (1), Issue : (5), May - 2020
Abstract : Background: Neurological disorder is identified as a severe cause of mortality among the patients. Given the severity of the disorder, various tools have been developed for the effective scanning of the symptoms and causes. Objective: The study intends to compare the two advanced neuroimaging tools i.e. computed tomography (CT) and magnetic resonance imaging (MRI) for assessing the patients of the possible brain, stroke, and neurological disorders concern their neurological symptoms and signs. Method: The retrospective study was conducted and medical records of 151 patients were assessed statistically. Chi-square test was applied to the collected data. Results: The results of the study provided that multiple seizures (15.2%) served as the major cause of examination, followed by a headache (9.9%), visual complaint (7.9%), single seizure (5.3%), gait abnormality (3.3%) and altered consciousness (2.6%); whereas, speech difficulty remained low (1.3%). CT scan findings of the patients reported parieto-temporal area and development of acute hypo densities as the prime concerns, where its results remained insignificant (0.29). Using MRI, unremarkable MRI was majorly reported, followed by lateralized to one side, stable MRI feature, bilateral symptoms, and ischemic disease. The results of MRI were significant (0.00). Conclusion: The study concludes that magnetic resonance imaging is more effective for the evaluation of the neurological disorders as compared to CT scan.
Keywords :CT Scan, MRI, Neurological Disorder, Brain, Stroke
Article: Download PDF Journal DOI : 10/422
Cite This Article:
The Role of Imaging in Examining Neurological Disorders; Assessing Brain, Stroke, and Neurological Disorders Using CT and MRI Imaging
Vol.I (1), Issue.I (5)
Article No : 10224
Number of Downloads : 103
References :
· Siuly, S. and Zhang, Y. (2016) Medical Big Data: Neurological Diseases Diagnosis through Medical Data Analysis. Data Science and Engineering, 1, 54-64.
https://doi.org/10.1007/s41019-016-0011-3
· Wingerchuk, D.M. and Carter, J.L. (2014) Multiple Sclerosis: Current and Emerging Disease-Modifying Therapies and Treatment Strategies. Mayo Clinic Proceedings, 89, 225-240.... More
· Siuly, S. and Zhang, Y. (2016) Medical Big Data: Neurological Diseases Diagnosis through Medical Data Analysis. Data Science and Engineering, 1, 54-64.
https://doi.org/10.1007/s41019-016-0011-3
· Wingerchuk, D.M. and Carter, J.L. (2014) Multiple Sclerosis: Current and Emerging Disease-Modifying Therapies and Treatment Strategies. Mayo Clinic Proceedings, 89, 225-240. https://doi.org/10.1016/j.mayocp.2013.11.002
· Holle, D. and Obermann, M. (2013). The Role of NeuroImaging in the Diagnosis of Headache Disorders. Therapeutic Advances in Neurological Disorders, 6, 369-574.
https://doi.org/10.1177/1756285613489765
· World Health Organization (WHO) (2007)
http://www.who.int/mediacentre/news/releases/2007/pr04/en/
· World Health Organization (WHO) (2016)
http://www.who.int/features/qa/55/en/
· Purandare, N.C. (2011) Inclusion of brain in FDG PET/CT Scanning Techniques in Cancer Patients: Does It Obviate the Need for Dedicated Brain Imaging? Indian Journal of Nuclear Medicine, 26, 64. https://doi.org/10.4103/0972-3919.90253
· Gao, H. and Jiang, X. (2013) Progress on the Diagnosis and Evaluation of Brain Tumors. Cancer Imaging, 13, 466.
https://doi.org/10.1102/1470-7330.2013.0039
· Weiss, D., McLeod-Henning, D. and Waltke, H. (2018) Using Advanced Imaging Technologies to Enhance Autopsy Practices. NIJ Journal, 279, 27-33.
· Di Franco, A., Rong, L.Q. and Gaudino, M. (2017) Imagine All the People Sharing the Entire World. Journal of Thoracic Disease, 9, S223. https://doi.org/10.21037/jtd.2017.04.15
· Meijer, F.J., Goraj, B., Bloem, B.R. and Esselink, R.A. (2017) Clinical Application of Brain MRI in the Diagnostic Work-up of Parkinsonism. Journal of Parkinson’s disease, 7, 211-217. https://doi.org/10.3233/JPD-150733
· Seppi, K. and Poewe, W. (2010) Brain Magnetic Resonance Imaging Techniques in the Diagnosis of Parkinsonian Syndromes. NeuroImaging Clinics, 20, 29-55.
https://doi.org/10.1016/j.nic.2009.08.016
· Weingarten, C.P., Sundman, M.H., Hickey, P. and Chen, N.K. (2015) NeuroImaging of Parkinson ’s disease: Expanding Views. Neuroscience & Biobehavioral Reviews, 59, 16-52.
https://doi.org/10.1016/j.neubiorev.2015.09.007
· Leandrou, S. (2010) Magnetic Resonance Imaging and Computed Tomography in the Evaluation of Stroke Should Magnetic Resonance Imaging Replace Computed Tomography as the Primary Imaging Modality in Stroke Evaluation?
· Bamberg, F., Kauczor, H.U., Weckbach, S., Schlett, C.L., Forsting, M., Ladd, S.C., Greiser, K.H., Weber, M.A., Schulz-Menger, J., Niendorf, T. and Pischon, T. (2015) Whole-Body MR Imaging in the German National Cohort: Rationale, Design, and Technical Background. Radiology, 277, 206-220. https://doi.org/10.1148/radiol.2015142272
· Völzke, H., Schmidt, C.O., Hegenscheid, K., Kühn, J.P., Bamberg, F., Lieb, W., Kroemer, H.K., Hosten, N. and Puls, R. (2012) Population Imaging as Valuable Tool for Personalized Medicine. Clinical Pharmacology & Therapeutics, 92, 422-424. https://doi.org/10.1038/clpt.2012.100
· Splansky, G.L., Corey, D., Yang, Q., Atwood, L.D., Cupples, L.A., Benjamin, E.J., D’Agostino Sr., R.B., Fox, C.S., Larson, M.G., Murabito, J.M. and O’Donnell, C.J. (2007) The Third Generation Cohort of the National Heart, Lung, and Blood Institute’s Framingham Heart Study: Design, Recruitment, and Initial Examination. American Journal of Epidemiology, 165, 1328-1335. https://doi.org/10.1093/aje/kwm021
· Hofman, A., van Duijn, C.M., Franco, O.H., Ikram, M.A., Janssen, H.L., Klaver, C.C., Kuipers, E.J., Nijsten, T.E., Stricker, B.H., Tiemeier, H. and Uitterlinden, A.G. (2011) The Rotterdam Study: 2012 Objectives and Design Update. European Journal of Epidemiology, 26, 657.
https://doi.org/10.1007/s10654-011-9610-5
· Hajat, A., Allison, M., Diez-Roux, A.V., Jenny, N.S., Jorgensen, N.W., Szpiro, A.A., Vedal, S. and Kaufman, J.D. (2015) Long-Term Exposure to Air Pollution and Markers of Inflammation, Coagulation, and Endothelial Activation: A Repeat-Measures Analysis in the Multi-Ethnic Study of Atherosclerosis (MESA). Epidemiology, 26, 310.
https://doi.org/10.1097/EDE.0000000000000267
· Völzke, H., Ittermann, T., Schmidt, C.O., Baumeister, S.E., Schipf, S., Alte, D., Biffar, R., John, U. and Hoffmann, W. (2015) Prevalence Trends in Lifestyle-Related Risk Factors: Two Cross-Sectional Analyses with a Total of 8728 Participants from the Study of Health in Pomerania from 1997 to 2001 and 2008 to 2012. Deutsches Ärzteblatt International, 112, 185.
· McClelland, R.L., Jorgensen, N.W., Budoff, M., Blaha, M.J., Post, W.S., Kronmal, R.A., Bild, D.E., Shea, S., Liu, K., Watson, K.E. and Folsom, A.R. (2015) 10-Year Coronary Heart Disease Risk Prediction Using Coronary Artery Calcium and Traditional Risk Factors: Derivation in the MESA (Multi-Ethnic Study of Atherosclerosis) with validation in the HNR (Heinz Nixdorf Recall) Study and the DHS (Dallas Heart Study). Journal of the American College of Cardiology, 66, 1643-1653. https://doi.org/10.1016/j.jacc.2015.08.035
· Schneider, A.L., Selvin, E., Sharrett, A.R., Griswold, M., Coresh, J., Jack, C.R., Knopman, D., Mosley, T. and Gottesman, R.F. (2017) Diabetes, Prediabetes, and Brain Volumes and Subclinical Cerebrovascular Disease on MRI: The Atherosclerosis Risk in Communities Neurocognitive Study (ARIC-NCS). Diabetes Care, 40, 1514-1521.
https://doi.org/10.2337/dc17-1185
· Clayton, J.A. (2016) Sex Influences in Neurological Disorders: Case Studies and Perspectives. Dialogues in Clinical Neuroscience, 18, 357.
· Liu, J., Qin, W., Nan, J., Li, J., Yuan, K., Zhao, L., Zeng, F., Sun, J., Yu, D., Dong, M. and Liu, P. (2011) Gender-Related Differences in the Dysfunctional Resting Networks of Migraine Suffers. PLoS ONE, 6, e27049.
https://doi.org/10.1371/journal.pone.0027049
· Medvid, R., Ruiz, A., Komotar, R.J., Jagid, J.R., Ivan, M.E., Quencer, R.M. and Desai, M.B. (2015) Current Applications of MRI-Guided Laser Interstitial Thermal Therapy in the Treatment of Brain Neoplasms and Epilepsy: A Radiologic and Neurosurgical Overview. American Journal of Neuroradiology, 36, 1998-2006. https://doi.org/10.3174/ajnr.A4362
· Degnan, A.J. and Levy, L.M. (2011) Pseudotumor cerebri: Brief Review of Clinical Syndrome and Imaging Findings. American Journal of Neuroradiology, 32, 1986-1993.
https://doi.org/10.3174/ajnr.A2404
· Nagahama, Y., Joshi, C., Dlouhy, B., Wu, A.Y., Abel, T.J., Baumbach, G. and Kawasaki, H. (2017) Functional Hemispherotomy in Rasmussen Syndrome in the Absence of Classic MRI Findings. Epilepsy & Behavior Case Reports, 7, 24-27. https://doi.org/10.1016/j.ebcr.2016.11.003
· Silva, J.R., Macau, R.A., Coelho, H.O., Camelo, F., Cruz, P., Mateus, A., Oliveira, A., Oliveira, C. and Ramos, A. (2018) Late-Onset Post-Transplantation Central Nervous System Lymphoproliferative Disorder: Case Report. Transplantation Proceedings, 50, 857-860. https://doi.org/10.1016/j.transproceed.2018.02.018
· Jindal, M.A., Gaikwad, H.S., Hasija, B.D. and Vani, K. (2013) Comparison of NeuroImaging by CT and MRI and Correlation with Neurological Presentation in Eclampsia. International Journal of Reproduction, Contraception, Obstetrics and Gynecology, 2, 83-87.
https://doi.org/10.5455/2320-1770.ijrcog20130215
· Zhang, M.J., Zhang, X. and Xu, Y.X. (2015) Analysis on Value of CT and MRI Clinical Application in Diagnosis of Middle-Aged Patients with Multiple Cerebral Infarction. International Journal of Clinical and Experimental Medicine, 8, 17123.
· Wang, N. and Wang, L.H. (2013) The Research Progress of Multi-Mode Endovascular to Treat Acute Ischemic Stroke. Chinese Journal of Cerebrovascular Diseases, 10, 329-330.
· Fan, J.D., Yu, J.M. and Shao, Y. (2013) The Research Progress of Imaging Diagnostic of Hemorrhagic Infarction. Chinese Journal of Clinicians, 19, 65-66.
· Kenteu, B., Fogang, Y.F., Nyaga, U.F., Zafack, J.G., Noubiap, J.J. and Kamtchum-Tatuene, J. (2018) Neuroimaging of Headaches in Patients with Normal Neurological Examination: Protocol for a Systematic Review. BMJ Open, 8, e020190. https://doi.org/10.1136/bmjopen-2017-020190
... Less
· Siuly, S. and Zhang, Y. (2016) Medical Big Data: Neurological Diseases Diagnosis through Medical Data Analysis. Data Science and Engineering, 1, 54-64. https://doi.org/10.1007/s41019-016-0011-3 |
· Wingerchuk, D.M. and Carter, J.L. (2014) Multiple Sclerosis: Current and Emerging Disease-Modifying Therapies and Treatment Strategies. Mayo Clinic Proceedings, 89, 225-240. https://doi.org/10.1016/j.mayocp.2013.11.002 |
· Holle, D. and Obermann, M. (2013). The Role of NeuroImaging in the Diagnosis of Headache Disorders. Therapeutic Advances in Neurological Disorders, 6, 369-574. https://doi.org/10.1177/1756285613489765 |
· World Health Organization (WHO) (2007) http://www.who.int/mediacentre/news/releases/2007/pr04/en/ |
· World Health Organization (WHO) (2016) http://www.who.int/features/qa/55/en/ |
· Purandare, N.C. (2011) Inclusion of brain in FDG PET/CT Scanning Techniques in Cancer Patients: Does It Obviate the Need for Dedicated Brain Imaging? Indian Journal of Nuclear Medicine, 26, 64. https://doi.org/10.4103/0972-3919.90253 |
· Gao, H. and Jiang, X. (2013) Progress on the Diagnosis and Evaluation of Brain Tumors. Cancer Imaging, 13, 466. https://doi.org/10.1102/1470-7330.2013.0039 |
· Weiss, D., McLeod-Henning, D. and Waltke, H. (2018) Using Advanced Imaging Technologies to Enhance Autopsy Practices. NIJ Journal, 279, 27-33. |
· Di Franco, A., Rong, L.Q. and Gaudino, M. (2017) Imagine All the People Sharing the Entire World. Journal of Thoracic Disease, 9, S223. https://doi.org/10.21037/jtd.2017.04.15 |
· Meijer, F.J., Goraj, B., Bloem, B.R. and Esselink, R.A. (2017) Clinical Application of Brain MRI in the Diagnostic Work-up of Parkinsonism. Journal of Parkinson’s disease, 7, 211-217. https://doi.org/10.3233/JPD-150733 |
· Seppi, K. and Poewe, W. (2010) Brain Magnetic Resonance Imaging Techniques in the Diagnosis of Parkinsonian Syndromes. NeuroImaging Clinics, 20, 29-55. https://doi.org/10.1016/j.nic.2009.08.016 |
· Weingarten, C.P., Sundman, M.H., Hickey, P. and Chen, N.K. (2015) NeuroImaging of Parkinson ’s disease: Expanding Views. Neuroscience & Biobehavioral Reviews, 59, 16-52. https://doi.org/10.1016/j.neubiorev.2015.09.007 |
· Leandrou, S. (2010) Magnetic Resonance Imaging and Computed Tomography in the Evaluation of Stroke Should Magnetic Resonance Imaging Replace Computed Tomography as the Primary Imaging Modality in Stroke Evaluation? |
· Bamberg, F., Kauczor, H.U., Weckbach, S., Schlett, C.L., Forsting, M., Ladd, S.C., Greiser, K.H., Weber, M.A., Schulz-Menger, J., Niendorf, T. and Pischon, T. (2015) Whole-Body MR Imaging in the German National Cohort: Rationale, Design, and Technical Background. Radiology, 277, 206-220. https://doi.org/10.1148/radiol.2015142272 |
· Völzke, H., Schmidt, C.O., Hegenscheid, K., Kühn, J.P., Bamberg, F., Lieb, W., Kroemer, H.K., Hosten, N. and Puls, R. (2012) Population Imaging as Valuable Tool for Personalized Medicine. Clinical Pharmacology & Therapeutics, 92, 422-424. https://doi.org/10.1038/clpt.2012.100 |
· Splansky, G.L., Corey, D., Yang, Q., Atwood, L.D., Cupples, L.A., Benjamin, E.J., D’Agostino Sr., R.B., Fox, C.S., Larson, M.G., Murabito, J.M. and O’Donnell, C.J. (2007) The Third Generation Cohort of the National Heart, Lung, and Blood Institute’s Framingham Heart Study: Design, Recruitment, and Initial Examination. American Journal of Epidemiology, 165, 1328-1335. https://doi.org/10.1093/aje/kwm021 |
· Hofman, A., van Duijn, C.M., Franco, O.H., Ikram, M.A., Janssen, H.L., Klaver, C.C., Kuipers, E.J., Nijsten, T.E., Stricker, B.H., Tiemeier, H. and Uitterlinden, A.G. (2011) The Rotterdam Study: 2012 Objectives and Design Update. European Journal of Epidemiology, 26, 657. https://doi.org/10.1007/s10654-011-9610-5 |
· Hajat, A., Allison, M., Diez-Roux, A.V., Jenny, N.S., Jorgensen, N.W., Szpiro, A.A., Vedal, S. and Kaufman, J.D. (2015) Long-Term Exposure to Air Pollution and Markers of Inflammation, Coagulation, and Endothelial Activation: A Repeat-Measures Analysis in the Multi-Ethnic Study of Atherosclerosis (MESA). Epidemiology, 26, 310. https://doi.org/10.1097/EDE.0000000000000267 |
· Völzke, H., Ittermann, T., Schmidt, C.O., Baumeister, S.E., Schipf, S., Alte, D., Biffar, R., John, U. and Hoffmann, W. (2015) Prevalence Trends in Lifestyle-Related Risk Factors: Two Cross-Sectional Analyses with a Total of 8728 Participants from the Study of Health in Pomerania from 1997 to 2001 and 2008 to 2012. Deutsches Ärzteblatt International, 112, 185. |
· McClelland, R.L., Jorgensen, N.W., Budoff, M., Blaha, M.J., Post, W.S., Kronmal, R.A., Bild, D.E., Shea, S., Liu, K., Watson, K.E. and Folsom, A.R. (2015) 10-Year Coronary Heart Disease Risk Prediction Using Coronary Artery Calcium and Traditional Risk Factors: Derivation in the MESA (Multi-Ethnic Study of Atherosclerosis) with validation in the HNR (Heinz Nixdorf Recall) Study and the DHS (Dallas Heart Study). Journal of the American College of Cardiology, 66, 1643-1653. https://doi.org/10.1016/j.jacc.2015.08.035 |
· Schneider, A.L., Selvin, E., Sharrett, A.R., Griswold, M., Coresh, J., Jack, C.R., Knopman, D., Mosley, T. and Gottesman, R.F. (2017) Diabetes, Prediabetes, and Brain Volumes and Subclinical Cerebrovascular Disease on MRI: The Atherosclerosis Risk in Communities Neurocognitive Study (ARIC-NCS). Diabetes Care, 40, 1514-1521. https://doi.org/10.2337/dc17-1185 |
· Clayton, J.A. (2016) Sex Influences in Neurological Disorders: Case Studies and Perspectives. Dialogues in Clinical Neuroscience, 18, 357. |
· Liu, J., Qin, W., Nan, J., Li, J., Yuan, K., Zhao, L., Zeng, F., Sun, J., Yu, D., Dong, M. and Liu, P. (2011) Gender-Related Differences in the Dysfunctional Resting Networks of Migraine Suffers. PLoS ONE, 6, e27049. https://doi.org/10.1371/journal.pone.0027049 |
· Medvid, R., Ruiz, A., Komotar, R.J., Jagid, J.R., Ivan, M.E., Quencer, R.M. and Desai, M.B. (2015) Current Applications of MRI-Guided Laser Interstitial Thermal Therapy in the Treatment of Brain Neoplasms and Epilepsy: A Radiologic and Neurosurgical Overview. American Journal of Neuroradiology, 36, 1998-2006. https://doi.org/10.3174/ajnr.A4362 |
· Degnan, A.J. and Levy, L.M. (2011) Pseudotumor cerebri: Brief Review of Clinical Syndrome and Imaging Findings. American Journal of Neuroradiology, 32, 1986-1993. https://doi.org/10.3174/ajnr.A2404 |
· Nagahama, Y., Joshi, C., Dlouhy, B., Wu, A.Y., Abel, T.J., Baumbach, G. and Kawasaki, H. (2017) Functional Hemispherotomy in Rasmussen Syndrome in the Absence of Classic MRI Findings. Epilepsy & Behavior Case Reports, 7, 24-27. https://doi.org/10.1016/j.ebcr.2016.11.003 |
· Silva, J.R., Macau, R.A., Coelho, H.O., Camelo, F., Cruz, P., Mateus, A., Oliveira, A., Oliveira, C. and Ramos, A. (2018) Late-Onset Post-Transplantation Central Nervous System Lymphoproliferative Disorder: Case Report. Transplantation Proceedings, 50, 857-860. https://doi.org/10.1016/j.transproceed.2018.02.018 |
· Jindal, M.A., Gaikwad, H.S., Hasija, B.D. and Vani, K. (2013) Comparison of NeuroImaging by CT and MRI and Correlation with Neurological Presentation in Eclampsia. International Journal of Reproduction, Contraception, Obstetrics and Gynecology, 2, 83-87. https://doi.org/10.5455/2320-1770.ijrcog20130215 |
· Zhang, M.J., Zhang, X. and Xu, Y.X. (2015) Analysis on Value of CT and MRI Clinical Application in Diagnosis of Middle-Aged Patients with Multiple Cerebral Infarction. International Journal of Clinical and Experimental Medicine, 8, 17123. |
· Wang, N. and Wang, L.H. (2013) The Research Progress of Multi-Mode Endovascular to Treat Acute Ischemic Stroke. Chinese Journal of Cerebrovascular Diseases, 10, 329-330. |
· Fan, J.D., Yu, J.M. and Shao, Y. (2013) The Research Progress of Imaging Diagnostic of Hemorrhagic Infarction. Chinese Journal of Clinicians, 19, 65-66. |
· Kenteu, B., Fogang, Y.F., Nyaga, U.F., Zafack, J.G., Noubiap, J.J. and Kamtchum-Tatuene, J. (2018) Neuroimaging of Headaches in Patients with Normal Neurological Examination: Protocol for a Systematic Review. BMJ Open, 8, e020190. https://doi.org/10.1136/bmjopen-2017-020190 |