Magnetic resonance imaging and dynamic X-ray's correlations with dynamic electrophysiological findings in cervical spondylotic myelopathy: a retrospective cohort study
BackgroundDynamic somatosensory evoked potentials (DSSEP) can be used to disclose abnormalities of ascending sensory pathways at dynamic positions and diagnose cervical spondylotic myelopathy (CSM). However, radiographic tests including magnetic resonance imaging (MRI) and dynamic X-ray are used muc...
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| description | BackgroundDynamic somatosensory evoked potentials (DSSEP) can be used to disclose abnormalities of ascending sensory pathways at dynamic positions and diagnose cervical spondylotic myelopathy (CSM). However, radiographic tests including magnetic resonance imaging (MRI) and dynamic X-ray are used much more widely in the management of CSM. Our study aims to clarify the correlations between several radiographic parameters and the DSSEP results, and further determine their reliability with clinical data.MethodsWe retrospectively enrolled 38 CSM patients with surgical intervention. DSSEP tests were performed before surgery. Amplitude ratios of DSSEP N13 and N20 waves at extension and flexion were calculated and recorded as N13_E, N20_E, N13_F, N20_F, respectively. Baseline severity was evaluated with the modified Japanese Orthopedic Association (mJOA) score and the Nurick grades. Prognosis was evaluated based on the 2-year recovery rate. Sagittal diameter and transverse areas of the cord and canal were measured and the the compressive ratios at the compressed site (Compression_Ratio), central (Central_Ratio), and 1/4-lateral points (1/4-Lateral_Compression_Ratio), and spinal cord/Canal Area Ratio were calculated. The intramedullary T2 hyperintensity patterns (Ax-CCM types) were also collected from MRI axial images. Dynamic X-rays were used to test for segmental instability of the cervical spine. The correlations between radiologic findings, DSSEP data, and clinical assessments were investigated.ResultsWe found that DSSEP N13_E and N13_F correlated with the Compression_Ratio, Central_Ratio, 1/4-Lateral_Compression_Ratio (Pearson, p |
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However, radiographic tests including magnetic resonance imaging (MRI) and dynamic X-ray are used much more widely in the management of CSM. Our study aims to clarify the correlations between several radiographic parameters and the DSSEP results, and further determine their reliability with clinical data.MethodsWe retrospectively enrolled 38 CSM patients with surgical intervention. DSSEP tests were performed before surgery. Amplitude ratios of DSSEP N13 and N20 waves at extension and flexion were calculated and recorded as N13_E, N20_E, N13_F, N20_F, respectively. Baseline severity was evaluated with the modified Japanese Orthopedic Association (mJOA) score and the Nurick grades. Prognosis was evaluated based on the 2-year recovery rate. Sagittal diameter and transverse areas of the cord and canal were measured and the the compressive ratios at the compressed site (Compression_Ratio), central (Central_Ratio), and 1/4-lateral points (1/4-Lateral_Compression_Ratio), and spinal cord/Canal Area Ratio were calculated. The intramedullary T2 hyperintensity patterns (Ax-CCM types) were also collected from MRI axial images. Dynamic X-rays were used to test for segmental instability of the cervical spine. The correlations between radiologic findings, DSSEP data, and clinical assessments were investigated.ResultsWe found that DSSEP N13_E and N13_F correlated with the Compression_Ratio, Central_Ratio, 1/4-Lateral_Compression_Ratio (Pearson, p<0.05) and Ax-CCM types (ANOVA, p<0.05) in MRI axial images and cervical segmental instability in dynamic X-ray (t-test, p<0.05). Apart from the 1/4-Lateral_Compression_Ratio, these radiographic parameters above also correlated with the baseline clinical assessments (Spearman or ANOVA or t-test, p<0.05) and postoperative recovery rate (Pearson or ANOVA or t-test, p<0.05).ConclusionsWe found that the preoperative Compression_Ratio, Central_Ratio and 1/4-Lateral_Compression_Ratio in MRI and cervical segmental instability in dynamic X-ray could reflect the dynamic neural dysfunction of the spinal cord. Different Ax-CCM types corresponded to different DSSEP results at extension and flexion, suggesting divergent pathophysiology. These radiographic parameters could help evaluate disease severity and predict postoperative prognosis.</description><identifier>ISSN: 1471-2377</identifier><identifier>EISSN: 1471-2377</identifier><identifier>DOI: 10.1186/s12883-020-01945-4</identifier><identifier>PMID: 33023483</identifier><language>eng</language><publisher>LONDON: Springer Nature</publisher><subject>Adult ; Aged ; Central nervous system diseases ; Cervical segmental instability ; Cervical spondylotic myelopathy ; Cervical Vertebrae - pathology ; Clinical Neurology ; Cohort analysis ; Cohort Studies ; Compression ; Dynamic X-ray ; Dynamic-somatosensory-evoked potentials ; Evoked Potentials, Somatosensory - physiology ; Female ; Humans ; Instability ; Life Sciences & Biomedicine ; Magnetic resonance imaging ; Magnetic Resonance Imaging - methods ; Male ; Medical research ; Middle Aged ; Neurophysiology ; Neurosciences & Neurology ; Prognosis ; Reproducibility of Results ; Retrospective Studies ; Science & Technology ; Somatosensory evoked potentials ; Spinal cord ; Spinal Cord Diseases - etiology ; Spinal Cord Diseases - pathology ; Spinal Cord Diseases - physiopathology ; Spine (cervical) ; Spondylosis - complications ; Statistical analysis ; Surgery ; Surgical outcomes ; Variance analysis ; Vertebrae ; X-rays</subject><ispartof>BMC neurology, 2020-10, Vol.20 (1), p.367-367, Article 367</ispartof><rights>COPYRIGHT 2020 BioMed Central Ltd.</rights><rights>2020. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>The Author(s) 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>10</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000578486400004</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-c563t-29faeeec02178547d8e419b90963fb20df463db83fbe3e8772c267d9ae5577143</citedby><cites>FETCH-LOGICAL-c563t-29faeeec02178547d8e419b90963fb20df463db83fbe3e8772c267d9ae5577143</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7541238/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7541238/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,315,729,782,786,866,887,2106,2118,27933,27934,28257,53800,53802</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33023483$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Yu, Zhengran</creatorcontrib><creatorcontrib>Lin, Kaiyuan</creatorcontrib><creatorcontrib>Chen, Jiacheng</creatorcontrib><creatorcontrib>Chen, Kuan-Hung</creatorcontrib><creatorcontrib>Guo, Wei</creatorcontrib><creatorcontrib>Dai, Yuhu</creatorcontrib><creatorcontrib>Chen, Yuguang</creatorcontrib><creatorcontrib>Zou, Xuenong</creatorcontrib><creatorcontrib>Peng, Xinsheng</creatorcontrib><title>Magnetic resonance imaging and dynamic X-ray's correlations with dynamic electrophysiological findings in cervical spondylotic myelopathy: a retrospective cohort study</title><title>BMC neurology</title><addtitle>BMC NEUROL</addtitle><addtitle>BMC Neurol</addtitle><description>BackgroundDynamic somatosensory evoked potentials (DSSEP) can be used to disclose abnormalities of ascending sensory pathways at dynamic positions and diagnose cervical spondylotic myelopathy (CSM). However, radiographic tests including magnetic resonance imaging (MRI) and dynamic X-ray are used much more widely in the management of CSM. Our study aims to clarify the correlations between several radiographic parameters and the DSSEP results, and further determine their reliability with clinical data.MethodsWe retrospectively enrolled 38 CSM patients with surgical intervention. DSSEP tests were performed before surgery. Amplitude ratios of DSSEP N13 and N20 waves at extension and flexion were calculated and recorded as N13_E, N20_E, N13_F, N20_F, respectively. Baseline severity was evaluated with the modified Japanese Orthopedic Association (mJOA) score and the Nurick grades. Prognosis was evaluated based on the 2-year recovery rate. Sagittal diameter and transverse areas of the cord and canal were measured and the the compressive ratios at the compressed site (Compression_Ratio), central (Central_Ratio), and 1/4-lateral points (1/4-Lateral_Compression_Ratio), and spinal cord/Canal Area Ratio were calculated. The intramedullary T2 hyperintensity patterns (Ax-CCM types) were also collected from MRI axial images. Dynamic X-rays were used to test for segmental instability of the cervical spine. The correlations between radiologic findings, DSSEP data, and clinical assessments were investigated.ResultsWe found that DSSEP N13_E and N13_F correlated with the Compression_Ratio, Central_Ratio, 1/4-Lateral_Compression_Ratio (Pearson, p<0.05) and Ax-CCM types (ANOVA, p<0.05) in MRI axial images and cervical segmental instability in dynamic X-ray (t-test, p<0.05). Apart from the 1/4-Lateral_Compression_Ratio, these radiographic parameters above also correlated with the baseline clinical assessments (Spearman or ANOVA or t-test, p<0.05) and postoperative recovery rate (Pearson or ANOVA or t-test, p<0.05).ConclusionsWe found that the preoperative Compression_Ratio, Central_Ratio and 1/4-Lateral_Compression_Ratio in MRI and cervical segmental instability in dynamic X-ray could reflect the dynamic neural dysfunction of the spinal cord. Different Ax-CCM types corresponded to different DSSEP results at extension and flexion, suggesting divergent pathophysiology. These radiographic parameters could help evaluate disease severity and predict postoperative prognosis.</description><subject>Adult</subject><subject>Aged</subject><subject>Central nervous system diseases</subject><subject>Cervical segmental instability</subject><subject>Cervical spondylotic myelopathy</subject><subject>Cervical Vertebrae - pathology</subject><subject>Clinical Neurology</subject><subject>Cohort analysis</subject><subject>Cohort Studies</subject><subject>Compression</subject><subject>Dynamic X-ray</subject><subject>Dynamic-somatosensory-evoked potentials</subject><subject>Evoked Potentials, Somatosensory - physiology</subject><subject>Female</subject><subject>Humans</subject><subject>Instability</subject><subject>Life Sciences & Biomedicine</subject><subject>Magnetic resonance imaging</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Male</subject><subject>Medical research</subject><subject>Middle Aged</subject><subject>Neurophysiology</subject><subject>Neurosciences & Neurology</subject><subject>Prognosis</subject><subject>Reproducibility of Results</subject><subject>Retrospective Studies</subject><subject>Science & Technology</subject><subject>Somatosensory evoked potentials</subject><subject>Spinal cord</subject><subject>Spinal Cord Diseases - etiology</subject><subject>Spinal Cord Diseases - pathology</subject><subject>Spinal Cord Diseases - physiopathology</subject><subject>Spine (cervical)</subject><subject>Spondylosis - complications</subject><subject>Statistical analysis</subject><subject>Surgery</subject><subject>Surgical outcomes</subject><subject>Variance analysis</subject><subject>Vertebrae</subject><subject>X-rays</subject><issn>1471-2377</issn><issn>1471-2377</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>AOWDO</sourceid><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>DOA</sourceid><recordid>eNqNkk1v1DAQhiMEoqXwBzigSBxAQin-Suz0gFSt-KhUxAUkbpbXnmS9ytqLnd0qv4i_yexuWVrEAeUQe_zMO57xWxTPKTmnVDVvM2VK8YowUhHairoSD4pTKiStGJfy4Z31SfEk5yUhVCpBHxcnnBPGheKnxc_Ppg8welsmyDGYYKH0K9P70JcmuNJNwazw9HuVzPQqlzamBIMZfQy5vPHj4kjAAHZMcb2Yso9D7L01Q9n54FAqlz6UFtJ2H8zrGNw0xF3V1QRDXJtxMV2UBu-ACnmNQn4LWGsR01jmceOmp8WjzgwZnt3-z4pvH95_nX2qrr98vJpdXle2bvhYsbYzAGAJw1ZrIZ0CQdt5S9qGd3NGXCca7uYKN8BBScksa6RrDdS1lFTws-LqoOuiWep1wlmkSUfj9T4QU69NwosPoMEZYRoA7igX1sq5VYy1QBrJu05hjbPi3UFrvZmvwFkIYzLDPdH7J8EvdB-3WtaCMr4TeH0rkOKPDeRRr3y2MAwmQNxkzYRoqZSy3qEv_0KXcZMCjgqpmracMUr-UL3BBnzoIta1O1F92XCpVE0lRer8HxR-DvChY4DOY_xeAjskWHy9nKA79kiJ3llVH6yq0ap6b1W9m_SLu9M5pvz2JgLqANzAPHbZekBzHjFCSI1uVo3AFREzP-5NOYubMGLqm_9P5b8AlR0JSA</recordid><startdate>20201006</startdate><enddate>20201006</enddate><creator>Yu, Zhengran</creator><creator>Lin, Kaiyuan</creator><creator>Chen, Jiacheng</creator><creator>Chen, Kuan-Hung</creator><creator>Guo, Wei</creator><creator>Dai, Yuhu</creator><creator>Chen, Yuguang</creator><creator>Zou, Xuenong</creator><creator>Peng, Xinsheng</creator><general>Springer Nature</general><general>BioMed Central Ltd</general><general>BioMed Central</general><general>BMC</general><scope>AOWDO</scope><scope>BLEPL</scope><scope>DTL</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20201006</creationdate><title>Magnetic resonance imaging and dynamic X-ray's correlations with dynamic electrophysiological findings in cervical spondylotic myelopathy: a retrospective cohort study</title><author>Yu, Zhengran ; Lin, Kaiyuan ; Chen, Jiacheng ; Chen, Kuan-Hung ; Guo, Wei ; Dai, Yuhu ; Chen, Yuguang ; Zou, Xuenong ; Peng, Xinsheng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c563t-29faeeec02178547d8e419b90963fb20df463db83fbe3e8772c267d9ae5577143</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Central nervous system diseases</topic><topic>Cervical segmental instability</topic><topic>Cervical spondylotic myelopathy</topic><topic>Cervical Vertebrae - pathology</topic><topic>Clinical Neurology</topic><topic>Cohort analysis</topic><topic>Cohort Studies</topic><topic>Compression</topic><topic>Dynamic X-ray</topic><topic>Dynamic-somatosensory-evoked potentials</topic><topic>Evoked Potentials, Somatosensory - physiology</topic><topic>Female</topic><topic>Humans</topic><topic>Instability</topic><topic>Life Sciences & Biomedicine</topic><topic>Magnetic resonance imaging</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Male</topic><topic>Medical research</topic><topic>Middle Aged</topic><topic>Neurophysiology</topic><topic>Neurosciences & Neurology</topic><topic>Prognosis</topic><topic>Reproducibility of Results</topic><topic>Retrospective Studies</topic><topic>Science & Technology</topic><topic>Somatosensory evoked potentials</topic><topic>Spinal cord</topic><topic>Spinal Cord Diseases - etiology</topic><topic>Spinal Cord Diseases - pathology</topic><topic>Spinal Cord Diseases - physiopathology</topic><topic>Spine (cervical)</topic><topic>Spondylosis - complications</topic><topic>Statistical analysis</topic><topic>Surgery</topic><topic>Surgical outcomes</topic><topic>Variance analysis</topic><topic>Vertebrae</topic><topic>X-rays</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yu, Zhengran</creatorcontrib><creatorcontrib>Lin, Kaiyuan</creatorcontrib><creatorcontrib>Chen, Jiacheng</creatorcontrib><creatorcontrib>Chen, Kuan-Hung</creatorcontrib><creatorcontrib>Guo, Wei</creatorcontrib><creatorcontrib>Dai, Yuhu</creatorcontrib><creatorcontrib>Chen, Yuguang</creatorcontrib><creatorcontrib>Zou, Xuenong</creatorcontrib><creatorcontrib>Peng, Xinsheng</creatorcontrib><collection>Web of Science - Science Citation Index Expanded - 2020</collection><collection>Web of Science Core Collection</collection><collection>Science Citation Index Expanded</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Neurosciences Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>BMC neurology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yu, Zhengran</au><au>Lin, Kaiyuan</au><au>Chen, Jiacheng</au><au>Chen, Kuan-Hung</au><au>Guo, Wei</au><au>Dai, Yuhu</au><au>Chen, Yuguang</au><au>Zou, Xuenong</au><au>Peng, Xinsheng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Magnetic resonance imaging and dynamic X-ray's correlations with dynamic electrophysiological findings in cervical spondylotic myelopathy: a retrospective cohort study</atitle><jtitle>BMC neurology</jtitle><stitle>BMC NEUROL</stitle><addtitle>BMC Neurol</addtitle><date>2020-10-06</date><risdate>2020</risdate><volume>20</volume><issue>1</issue><spage>367</spage><epage>367</epage><pages>367-367</pages><artnum>367</artnum><issn>1471-2377</issn><eissn>1471-2377</eissn><abstract>BackgroundDynamic somatosensory evoked potentials (DSSEP) can be used to disclose abnormalities of ascending sensory pathways at dynamic positions and diagnose cervical spondylotic myelopathy (CSM). However, radiographic tests including magnetic resonance imaging (MRI) and dynamic X-ray are used much more widely in the management of CSM. Our study aims to clarify the correlations between several radiographic parameters and the DSSEP results, and further determine their reliability with clinical data.MethodsWe retrospectively enrolled 38 CSM patients with surgical intervention. DSSEP tests were performed before surgery. Amplitude ratios of DSSEP N13 and N20 waves at extension and flexion were calculated and recorded as N13_E, N20_E, N13_F, N20_F, respectively. Baseline severity was evaluated with the modified Japanese Orthopedic Association (mJOA) score and the Nurick grades. Prognosis was evaluated based on the 2-year recovery rate. Sagittal diameter and transverse areas of the cord and canal were measured and the the compressive ratios at the compressed site (Compression_Ratio), central (Central_Ratio), and 1/4-lateral points (1/4-Lateral_Compression_Ratio), and spinal cord/Canal Area Ratio were calculated. The intramedullary T2 hyperintensity patterns (Ax-CCM types) were also collected from MRI axial images. Dynamic X-rays were used to test for segmental instability of the cervical spine. The correlations between radiologic findings, DSSEP data, and clinical assessments were investigated.ResultsWe found that DSSEP N13_E and N13_F correlated with the Compression_Ratio, Central_Ratio, 1/4-Lateral_Compression_Ratio (Pearson, p<0.05) and Ax-CCM types (ANOVA, p<0.05) in MRI axial images and cervical segmental instability in dynamic X-ray (t-test, p<0.05). Apart from the 1/4-Lateral_Compression_Ratio, these radiographic parameters above also correlated with the baseline clinical assessments (Spearman or ANOVA or t-test, p<0.05) and postoperative recovery rate (Pearson or ANOVA or t-test, p<0.05).ConclusionsWe found that the preoperative Compression_Ratio, Central_Ratio and 1/4-Lateral_Compression_Ratio in MRI and cervical segmental instability in dynamic X-ray could reflect the dynamic neural dysfunction of the spinal cord. Different Ax-CCM types corresponded to different DSSEP results at extension and flexion, suggesting divergent pathophysiology. These radiographic parameters could help evaluate disease severity and predict postoperative prognosis.</abstract><cop>LONDON</cop><pub>Springer Nature</pub><pmid>33023483</pmid><doi>10.1186/s12883-020-01945-4</doi><tpages>11</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Adult Aged Central nervous system diseases Cervical segmental instability Cervical spondylotic myelopathy Cervical Vertebrae - pathology Clinical Neurology Cohort analysis Cohort Studies Compression Dynamic X-ray Dynamic-somatosensory-evoked potentials Evoked Potentials, Somatosensory - physiology Female Humans Instability Life Sciences & Biomedicine Magnetic resonance imaging Magnetic Resonance Imaging - methods Male Medical research Middle Aged Neurophysiology Neurosciences & Neurology Prognosis Reproducibility of Results Retrospective Studies Science & Technology Somatosensory evoked potentials Spinal cord Spinal Cord Diseases - etiology Spinal Cord Diseases - pathology Spinal Cord Diseases - physiopathology Spine (cervical) Spondylosis - complications Statistical analysis Surgery Surgical outcomes Variance analysis Vertebrae X-rays |
| title | Magnetic resonance imaging and dynamic X-ray's correlations with dynamic electrophysiological findings in cervical spondylotic myelopathy: a retrospective cohort study |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-11-28T16%3A59%3A35IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Magnetic%20resonance%20imaging%20and%20dynamic%20X-ray's%20correlations%20with%20dynamic%20electrophysiological%20findings%20in%20cervical%20spondylotic%20myelopathy:%20a%20retrospective%20cohort%20study&rft.jtitle=BMC%20neurology&rft.au=Yu,%20Zhengran&rft.date=2020-10-06&rft.volume=20&rft.issue=1&rft.spage=367&rft.epage=367&rft.pages=367-367&rft.artnum=367&rft.issn=1471-2377&rft.eissn=1471-2377&rft_id=info:doi/10.1186/s12883-020-01945-4&rft_dat=%3Cgale_pubme%3EA637885171%3C/gale_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2451932210&rft_id=info:pmid/33023483&rft_galeid=A637885171&rft_doaj_id=oai_doaj_org_article_eda4a6ee3d134cc7bc8229e0673ff8b8&rfr_iscdi=true |