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Iron quantitative analysis of motor combined with bulbar region in M1 cortex may improve diagnosis performance in ALS
Objectives To explore whether the combined analysis of motor and bulbar region of M1 on susceptibility-weighted imaging (SWI) can be a valid biomarker for amyotrophic lateral sclerosis (ALS). Methods Thirty-two non-demented ALS patients and 35 age- and gender-matched healthy controls (HC) were retro...
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Published in: | European radiology 2023-02, Vol.33 (2), p.1132-1142 |
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creator | Bao, Yifang Chen, Yan Piao, Sirong Hu, Bin Yang, Liqin Li, Haiqing Geng, Daoying Li, Yuxin |
description | Objectives
To explore whether the combined analysis of motor and bulbar region of M1 on susceptibility-weighted imaging (SWI) can be a valid biomarker for amyotrophic lateral sclerosis (ALS).
Methods
Thirty-two non-demented ALS patients and 35 age- and gender-matched healthy controls (HC) were retrospectively recruited. SWI and 3D-T1-MPRAGE images were obtained from all individuals using a 3.0-T MRI scan. The bilateral posterior band of M1 was manually delineated by three neuroradiologists on phase images and subdivided into the motor and bulbar regions. We compared the phase values in two groups and performed a stratification analysis (ALSFRS-R score, duration, disease progression rate, and onset). Receiver operating characteristic (ROC) curves were also constructed.
Results
ALS group showed significantly increased phase values in M1 and the two subregions than the HC group, on the all and elderly level (
p
< 0.001, respectively). On all-age level comparison, negative correlations were found between phase values of M1 and clinical score and duration (
p
< 0.05, respectively). Similar associations were found in the motor region (
p
< 0.05, respectively). On both the total (
p
< 0.01) and elderly (
p
< 0.05) levels, there were positive relationships between disease progression rate and M1 phase values. In comparing ROC curves, the entire M1 showed the best diagnostic performance.
Conclusions
Combining motor and bulbar analyses as an integral M1 region on SWI can improve ALS diagnosis performance, especially in the elderly. The phase value could be a valuable biomarker for ALS evaluation.
Key Points
• Integrated analysis of the motor and bulbar as an entire M1 region on SWI can improve the diagnosis performance in ALS.
• Quantitative analysis of iron deposition by SWI measurement helps the clinical evaluation, especially for the elderly patients.
• Phase value, when combined with the disease progression rate, could be a valuable biomarker for ALS. |
doi_str_mv | 10.1007/s00330-022-09045-2 |
format | article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2701139246</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2771179076</sourcerecordid><originalsourceid>FETCH-LOGICAL-c375t-70ddcb93726e531e18b0254a21645976bce403c92037443e978c2908042504253</originalsourceid><addsrcrecordid>eNp9kUtP3DAURq2qqDzaP8ACWeqGTeD6kfF4iVB5SINYQNeW49yZGiX2YCdt59_jMJQiFiwsW_L5zrX8EXLI4IQBqNMMIARUwHkFGmRd8U9kj0nBKwZz-fnNeZfs5_wAAJpJ9YXsilrXrCT2yHidYqCPow2DH-zgfyO1wXab7DONS9rHISbqYt_4gC3944dftBm7xiaacOVL1Ad6wwqRBvxLe7uhvl-nWDStt6sQJ88a0zKm3gaHE362uPtKdpa2y_jtZT8gPy9-3J9fVYvby-vzs0XlhKqHSkHbukYLxWdYC4Zs3gCvpeVsJmutZo1DCcJpDkJJKVCrueMa5iB5PS1xQI633vKkxxHzYHqfHXadDRjHbLgCxoTmclbQ7-_Qhzim8hUTpRhTGtRE8S3lUsw54dKsk-9t2hgGZirFbEsxpRTzXIrhJXT0oh6bHtvXyL8WCiC2QC5XYYXp_-wPtE-_U5Wl</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2771179076</pqid></control><display><type>article</type><title>Iron quantitative analysis of motor combined with bulbar region in M1 cortex may improve diagnosis performance in ALS</title><source>Springer Nature</source><creator>Bao, Yifang ; Chen, Yan ; Piao, Sirong ; Hu, Bin ; Yang, Liqin ; Li, Haiqing ; Geng, Daoying ; Li, Yuxin</creator><creatorcontrib>Bao, Yifang ; Chen, Yan ; Piao, Sirong ; Hu, Bin ; Yang, Liqin ; Li, Haiqing ; Geng, Daoying ; Li, Yuxin</creatorcontrib><description>Objectives
To explore whether the combined analysis of motor and bulbar region of M1 on susceptibility-weighted imaging (SWI) can be a valid biomarker for amyotrophic lateral sclerosis (ALS).
Methods
Thirty-two non-demented ALS patients and 35 age- and gender-matched healthy controls (HC) were retrospectively recruited. SWI and 3D-T1-MPRAGE images were obtained from all individuals using a 3.0-T MRI scan. The bilateral posterior band of M1 was manually delineated by three neuroradiologists on phase images and subdivided into the motor and bulbar regions. We compared the phase values in two groups and performed a stratification analysis (ALSFRS-R score, duration, disease progression rate, and onset). Receiver operating characteristic (ROC) curves were also constructed.
Results
ALS group showed significantly increased phase values in M1 and the two subregions than the HC group, on the all and elderly level (
p
< 0.001, respectively). On all-age level comparison, negative correlations were found between phase values of M1 and clinical score and duration (
p
< 0.05, respectively). Similar associations were found in the motor region (
p
< 0.05, respectively). On both the total (
p
< 0.01) and elderly (
p
< 0.05) levels, there were positive relationships between disease progression rate and M1 phase values. In comparing ROC curves, the entire M1 showed the best diagnostic performance.
Conclusions
Combining motor and bulbar analyses as an integral M1 region on SWI can improve ALS diagnosis performance, especially in the elderly. The phase value could be a valuable biomarker for ALS evaluation.
Key Points
• Integrated analysis of the motor and bulbar as an entire M1 region on SWI can improve the diagnosis performance in ALS.
• Quantitative analysis of iron deposition by SWI measurement helps the clinical evaluation, especially for the elderly patients.
• Phase value, when combined with the disease progression rate, could be a valuable biomarker for ALS.</description><identifier>ISSN: 1432-1084</identifier><identifier>ISSN: 0938-7994</identifier><identifier>EISSN: 1432-1084</identifier><identifier>DOI: 10.1007/s00330-022-09045-2</identifier><identifier>PMID: 35951045</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Aged ; Amyotrophic lateral sclerosis ; Amyotrophic Lateral Sclerosis - diagnostic imaging ; Biomarkers ; Diagnosis ; Diagnostic Radiology ; Disease Progression ; Humans ; Imaging ; Internal Medicine ; Interventional Radiology ; Iron ; Magnetic Resonance Imaging - methods ; Medical diagnosis ; Medical imaging ; Medicine ; Medicine & Public Health ; Motor Cortex - diagnostic imaging ; Motor task performance ; Neuro ; Neuroimaging ; Neuroradiology ; Older people ; Quantitative analysis ; Radiology ; Retrospective Studies ; Ultrasound</subject><ispartof>European radiology, 2023-02, Vol.33 (2), p.1132-1142</ispartof><rights>The Author(s), under exclusive licence to European Society of Radiology 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><rights>2022. The Author(s), under exclusive licence to European Society of Radiology.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c375t-70ddcb93726e531e18b0254a21645976bce403c92037443e978c2908042504253</citedby><cites>FETCH-LOGICAL-c375t-70ddcb93726e531e18b0254a21645976bce403c92037443e978c2908042504253</cites><orcidid>0000-0003-2107-6744</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,777,781,27905,27906</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35951045$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Bao, Yifang</creatorcontrib><creatorcontrib>Chen, Yan</creatorcontrib><creatorcontrib>Piao, Sirong</creatorcontrib><creatorcontrib>Hu, Bin</creatorcontrib><creatorcontrib>Yang, Liqin</creatorcontrib><creatorcontrib>Li, Haiqing</creatorcontrib><creatorcontrib>Geng, Daoying</creatorcontrib><creatorcontrib>Li, Yuxin</creatorcontrib><title>Iron quantitative analysis of motor combined with bulbar region in M1 cortex may improve diagnosis performance in ALS</title><title>European radiology</title><addtitle>Eur Radiol</addtitle><addtitle>Eur Radiol</addtitle><description>Objectives
To explore whether the combined analysis of motor and bulbar region of M1 on susceptibility-weighted imaging (SWI) can be a valid biomarker for amyotrophic lateral sclerosis (ALS).
Methods
Thirty-two non-demented ALS patients and 35 age- and gender-matched healthy controls (HC) were retrospectively recruited. SWI and 3D-T1-MPRAGE images were obtained from all individuals using a 3.0-T MRI scan. The bilateral posterior band of M1 was manually delineated by three neuroradiologists on phase images and subdivided into the motor and bulbar regions. We compared the phase values in two groups and performed a stratification analysis (ALSFRS-R score, duration, disease progression rate, and onset). Receiver operating characteristic (ROC) curves were also constructed.
Results
ALS group showed significantly increased phase values in M1 and the two subregions than the HC group, on the all and elderly level (
p
< 0.001, respectively). On all-age level comparison, negative correlations were found between phase values of M1 and clinical score and duration (
p
< 0.05, respectively). Similar associations were found in the motor region (
p
< 0.05, respectively). On both the total (
p
< 0.01) and elderly (
p
< 0.05) levels, there were positive relationships between disease progression rate and M1 phase values. In comparing ROC curves, the entire M1 showed the best diagnostic performance.
Conclusions
Combining motor and bulbar analyses as an integral M1 region on SWI can improve ALS diagnosis performance, especially in the elderly. The phase value could be a valuable biomarker for ALS evaluation.
Key Points
• Integrated analysis of the motor and bulbar as an entire M1 region on SWI can improve the diagnosis performance in ALS.
• Quantitative analysis of iron deposition by SWI measurement helps the clinical evaluation, especially for the elderly patients.
• Phase value, when combined with the disease progression rate, could be a valuable biomarker for ALS.</description><subject>Aged</subject><subject>Amyotrophic lateral sclerosis</subject><subject>Amyotrophic Lateral Sclerosis - diagnostic imaging</subject><subject>Biomarkers</subject><subject>Diagnosis</subject><subject>Diagnostic Radiology</subject><subject>Disease Progression</subject><subject>Humans</subject><subject>Imaging</subject><subject>Internal Medicine</subject><subject>Interventional Radiology</subject><subject>Iron</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Medical diagnosis</subject><subject>Medical imaging</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Motor Cortex - diagnostic imaging</subject><subject>Motor task performance</subject><subject>Neuro</subject><subject>Neuroimaging</subject><subject>Neuroradiology</subject><subject>Older people</subject><subject>Quantitative analysis</subject><subject>Radiology</subject><subject>Retrospective Studies</subject><subject>Ultrasound</subject><issn>1432-1084</issn><issn>0938-7994</issn><issn>1432-1084</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNp9kUtP3DAURq2qqDzaP8ACWeqGTeD6kfF4iVB5SINYQNeW49yZGiX2YCdt59_jMJQiFiwsW_L5zrX8EXLI4IQBqNMMIARUwHkFGmRd8U9kj0nBKwZz-fnNeZfs5_wAAJpJ9YXsilrXrCT2yHidYqCPow2DH-zgfyO1wXab7DONS9rHISbqYt_4gC3944dftBm7xiaacOVL1Ad6wwqRBvxLe7uhvl-nWDStt6sQJ88a0zKm3gaHE362uPtKdpa2y_jtZT8gPy9-3J9fVYvby-vzs0XlhKqHSkHbukYLxWdYC4Zs3gCvpeVsJmutZo1DCcJpDkJJKVCrueMa5iB5PS1xQI633vKkxxHzYHqfHXadDRjHbLgCxoTmclbQ7-_Qhzim8hUTpRhTGtRE8S3lUsw54dKsk-9t2hgGZirFbEsxpRTzXIrhJXT0oh6bHtvXyL8WCiC2QC5XYYXp_-wPtE-_U5Wl</recordid><startdate>20230201</startdate><enddate>20230201</enddate><creator>Bao, Yifang</creator><creator>Chen, Yan</creator><creator>Piao, Sirong</creator><creator>Hu, Bin</creator><creator>Yang, Liqin</creator><creator>Li, Haiqing</creator><creator>Geng, Daoying</creator><creator>Li, Yuxin</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><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>7QO</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-2107-6744</orcidid></search><sort><creationdate>20230201</creationdate><title>Iron quantitative analysis of motor combined with bulbar region in M1 cortex may improve diagnosis performance in ALS</title><author>Bao, Yifang ; Chen, Yan ; Piao, Sirong ; Hu, Bin ; Yang, Liqin ; Li, Haiqing ; Geng, Daoying ; Li, Yuxin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c375t-70ddcb93726e531e18b0254a21645976bce403c92037443e978c2908042504253</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Aged</topic><topic>Amyotrophic lateral sclerosis</topic><topic>Amyotrophic Lateral Sclerosis - diagnostic imaging</topic><topic>Biomarkers</topic><topic>Diagnosis</topic><topic>Diagnostic Radiology</topic><topic>Disease Progression</topic><topic>Humans</topic><topic>Imaging</topic><topic>Internal Medicine</topic><topic>Interventional Radiology</topic><topic>Iron</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Medical diagnosis</topic><topic>Medical imaging</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Motor Cortex - diagnostic imaging</topic><topic>Motor task performance</topic><topic>Neuro</topic><topic>Neuroimaging</topic><topic>Neuroradiology</topic><topic>Older people</topic><topic>Quantitative analysis</topic><topic>Radiology</topic><topic>Retrospective Studies</topic><topic>Ultrasound</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bao, Yifang</creatorcontrib><creatorcontrib>Chen, Yan</creatorcontrib><creatorcontrib>Piao, Sirong</creatorcontrib><creatorcontrib>Hu, Bin</creatorcontrib><creatorcontrib>Yang, Liqin</creatorcontrib><creatorcontrib>Li, Haiqing</creatorcontrib><creatorcontrib>Geng, Daoying</creatorcontrib><creatorcontrib>Li, Yuxin</creatorcontrib><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>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</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)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biological Science Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</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><jtitle>European radiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bao, Yifang</au><au>Chen, Yan</au><au>Piao, Sirong</au><au>Hu, Bin</au><au>Yang, Liqin</au><au>Li, Haiqing</au><au>Geng, Daoying</au><au>Li, Yuxin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Iron quantitative analysis of motor combined with bulbar region in M1 cortex may improve diagnosis performance in ALS</atitle><jtitle>European radiology</jtitle><stitle>Eur Radiol</stitle><addtitle>Eur Radiol</addtitle><date>2023-02-01</date><risdate>2023</risdate><volume>33</volume><issue>2</issue><spage>1132</spage><epage>1142</epage><pages>1132-1142</pages><issn>1432-1084</issn><issn>0938-7994</issn><eissn>1432-1084</eissn><abstract>Objectives
To explore whether the combined analysis of motor and bulbar region of M1 on susceptibility-weighted imaging (SWI) can be a valid biomarker for amyotrophic lateral sclerosis (ALS).
Methods
Thirty-two non-demented ALS patients and 35 age- and gender-matched healthy controls (HC) were retrospectively recruited. SWI and 3D-T1-MPRAGE images were obtained from all individuals using a 3.0-T MRI scan. The bilateral posterior band of M1 was manually delineated by three neuroradiologists on phase images and subdivided into the motor and bulbar regions. We compared the phase values in two groups and performed a stratification analysis (ALSFRS-R score, duration, disease progression rate, and onset). Receiver operating characteristic (ROC) curves were also constructed.
Results
ALS group showed significantly increased phase values in M1 and the two subregions than the HC group, on the all and elderly level (
p
< 0.001, respectively). On all-age level comparison, negative correlations were found between phase values of M1 and clinical score and duration (
p
< 0.05, respectively). Similar associations were found in the motor region (
p
< 0.05, respectively). On both the total (
p
< 0.01) and elderly (
p
< 0.05) levels, there were positive relationships between disease progression rate and M1 phase values. In comparing ROC curves, the entire M1 showed the best diagnostic performance.
Conclusions
Combining motor and bulbar analyses as an integral M1 region on SWI can improve ALS diagnosis performance, especially in the elderly. The phase value could be a valuable biomarker for ALS evaluation.
Key Points
• Integrated analysis of the motor and bulbar as an entire M1 region on SWI can improve the diagnosis performance in ALS.
• Quantitative analysis of iron deposition by SWI measurement helps the clinical evaluation, especially for the elderly patients.
• Phase value, when combined with the disease progression rate, could be a valuable biomarker for ALS.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>35951045</pmid><doi>10.1007/s00330-022-09045-2</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0003-2107-6744</orcidid></addata></record> |
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source | Springer Nature |
subjects | Aged Amyotrophic lateral sclerosis Amyotrophic Lateral Sclerosis - diagnostic imaging Biomarkers Diagnosis Diagnostic Radiology Disease Progression Humans Imaging Internal Medicine Interventional Radiology Iron Magnetic Resonance Imaging - methods Medical diagnosis Medical imaging Medicine Medicine & Public Health Motor Cortex - diagnostic imaging Motor task performance Neuro Neuroimaging Neuroradiology Older people Quantitative analysis Radiology Retrospective Studies Ultrasound |
title | Iron quantitative analysis of motor combined with bulbar region in M1 cortex may improve diagnosis performance in ALS |
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