MRI of Skeletal Muscles in Participants with Type 2 Diabetes with or without Diabetic Polyneuropathy

BackgroundDiabetic polyneuropathy (DPN) is associated with loss of muscle strength. MRI including diffusion-tensor imaging (DTI) may enable detection of muscle abnormalities related to type 2 diabetes mellitus (DM2) and DPN.PurposeTo assess skeletal muscle abnormalities in participants with DM2 with...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Radiology 2020-12, Vol.297 (3), p.608-619
Hauptverfasser: Stouge, Anders, Khan, Karolina S, Kristensen, Alexander G, Tankisi, Hatice, Schlaffke, Lara, Froeling, Martijn, Væggemose, Michael, Andersen, Henning
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 619
container_issue 3
container_start_page 608
container_title Radiology
container_volume 297
creator Stouge, Anders
Khan, Karolina S
Kristensen, Alexander G
Tankisi, Hatice
Schlaffke, Lara
Froeling, Martijn
Væggemose, Michael
Andersen, Henning
description BackgroundDiabetic polyneuropathy (DPN) is associated with loss of muscle strength. MRI including diffusion-tensor imaging (DTI) may enable detection of muscle abnormalities related to type 2 diabetes mellitus (DM2) and DPN.PurposeTo assess skeletal muscle abnormalities in participants with DM2 with or without DPN by using MRI.Materials and MethodsThis prospective cross-sectional study included participants with DM2 and DPN (DPN positive), participants with DM2 without DPN (DPN negative), and healthy control (HC) participants enrolled between August 2017 and June 2018. Muscle strength at the knee and ankle was determined with isokinetic dynamometry. MRI of the lower extremities included the Dixon sequence, multicomponent T2 mapping, and DTI calculated fat fractions (FFs), T2 relaxation of muscle (T2 ), fractional anisotropy (FA), and diffusivity (mean, axial, and radial). One-way analysis of variance and Tukey honestly significant difference were applied for comparison between groups, and multivariate regression models were used for association between MRI parameters, nerve conduction, strength, and body mass index (BMI).ResultsTwenty participants with DPN (mean age, 65 years ± 9 [standard deviation]; 70% men; mean BMI, 34 kg/m ± 5), 20 participants without DPN (mean age, 64 years ± 9; 55% men; mean BMI, 30 kg/m ± 6), and 20 HC participants (mean age, 61 years ± 10; 55% men; mean BMI, 27 kg/m ± 5) were enrolled in this study. Muscle strength adjusted for age, sex, and BMI was lower in participants with DPN than in DPN-negative and HC participants in the upper and lower leg (plantar flexors [PF], 62% vs 78% vs 89%; < .001; knee extensors [KE], 73% vs 95% vs 93%; < .001). FF was higher in leg muscle groups of participants with DPN than in DPN-negative and HC participants (PF, 20% vs 10% vs 8%; < .001; KE, 13% vs 8% vs 6%; < .001). T2 was prolonged in leg muscle groups of participants with DPN when compared with HC participants (PF, 33 msec vs 31 msec; < .001; KE, 32 msec vs 31 msec; = .002) and in the lower leg when compared with participants without DPN (PF, 33 msec vs 32 msec; = .03). In multivariate regression models, strength was associated with FA ( = -0.0004), T2 ( = -0.03 msec), and FF ( = -0.1%) at thigh level ( < .001). Furthermore, FA ( = -0.007), T2 ( = -0.53 msec), and FF ( = -4.0%) were associated with nerve conduction at calf level ( < .001).ConclusionMRI of leg muscle groups revealed fat accumulation, differences in water composition, and stru
doi_str_mv 10.1148/radiol.2020192647
format Article
fullrecord <record><control><sourceid>pubmed_cross</sourceid><recordid>TN_cdi_crossref_primary_10_1148_radiol_2020192647</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>33048033</sourcerecordid><originalsourceid>FETCH-LOGICAL-c311t-efebe401bebaa393f898f05262e17f4bc34d99223046b8f3c4a24011bf4b76e3</originalsourceid><addsrcrecordid>eNpFkMtOwzAQRS0EoqXwAWyQfyDFYzuvJSqvSq2oIPvITsaqIW0i2xHK3xNogdWV5swdjQ4h18DmADK7daq2bTPnjDPIeSLTEzKFmKcRCIhPyZQxIaJMQj4hF96_MwYyztJzMhGCyWyEU1KvX5e0NfTtAxsMqqHr3lcNemr3dKNcsJXt1D54-mnDlhZDh5TTe6s0BjwOW_eTbR-OwFZ00zbDHnvXdipsh0tyZlTj8eqYM1I8PhSL52j18rRc3K2iSgCECA1qlAw0aqVELkyWZ4bFPOEIqZG6ErLOc87H5xOdGVFJxcd10CNLExQzAoezlWu9d2jKztmdckMJrPwWVh6Elf_Cxs7NodP1eof1X-PXkPgCR4po8g</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>MRI of Skeletal Muscles in Participants with Type 2 Diabetes with or without Diabetic Polyneuropathy</title><source>MEDLINE</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>Radiological Society of North America</source><creator>Stouge, Anders ; Khan, Karolina S ; Kristensen, Alexander G ; Tankisi, Hatice ; Schlaffke, Lara ; Froeling, Martijn ; Væggemose, Michael ; Andersen, Henning</creator><creatorcontrib>Stouge, Anders ; Khan, Karolina S ; Kristensen, Alexander G ; Tankisi, Hatice ; Schlaffke, Lara ; Froeling, Martijn ; Væggemose, Michael ; Andersen, Henning</creatorcontrib><description><![CDATA[BackgroundDiabetic polyneuropathy (DPN) is associated with loss of muscle strength. MRI including diffusion-tensor imaging (DTI) may enable detection of muscle abnormalities related to type 2 diabetes mellitus (DM2) and DPN.PurposeTo assess skeletal muscle abnormalities in participants with DM2 with or without DPN by using MRI.Materials and MethodsThis prospective cross-sectional study included participants with DM2 and DPN (DPN positive), participants with DM2 without DPN (DPN negative), and healthy control (HC) participants enrolled between August 2017 and June 2018. Muscle strength at the knee and ankle was determined with isokinetic dynamometry. MRI of the lower extremities included the Dixon sequence, multicomponent T2 mapping, and DTI calculated fat fractions (FFs), T2 relaxation of muscle (T2 ), fractional anisotropy (FA), and diffusivity (mean, axial, and radial). One-way analysis of variance and Tukey honestly significant difference were applied for comparison between groups, and multivariate regression models were used for association between MRI parameters, nerve conduction, strength, and body mass index (BMI).ResultsTwenty participants with DPN (mean age, 65 years ± 9 [standard deviation]; 70% men; mean BMI, 34 kg/m ± 5), 20 participants without DPN (mean age, 64 years ± 9; 55% men; mean BMI, 30 kg/m ± 6), and 20 HC participants (mean age, 61 years ± 10; 55% men; mean BMI, 27 kg/m ± 5) were enrolled in this study. Muscle strength adjusted for age, sex, and BMI was lower in participants with DPN than in DPN-negative and HC participants in the upper and lower leg (plantar flexors [PF], 62% vs 78% vs 89%; < .001; knee extensors [KE], 73% vs 95% vs 93%; < .001). FF was higher in leg muscle groups of participants with DPN than in DPN-negative and HC participants (PF, 20% vs 10% vs 8%; < .001; KE, 13% vs 8% vs 6%; < .001). T2 was prolonged in leg muscle groups of participants with DPN when compared with HC participants (PF, 33 msec vs 31 msec; < .001; KE, 32 msec vs 31 msec; = .002) and in the lower leg when compared with participants without DPN (PF, 33 msec vs 32 msec; = .03). In multivariate regression models, strength was associated with FA ( = -0.0004), T2 ( = -0.03 msec), and FF ( = -0.1%) at thigh level ( < .001). Furthermore, FA ( = -0.007), T2 ( = -0.53 msec), and FF ( = -4.0%) were associated with nerve conduction at calf level ( < .001).ConclusionMRI of leg muscle groups revealed fat accumulation, differences in water composition, and structural changes in participants with type 2 diabetes mellitus and neuropathy. Abnormalities were most pronounced in the plantar flexors.© RSNA, 2020 See also the editorial by Sneag and Tan in this issue.]]></description><identifier>ISSN: 0033-8419</identifier><identifier>EISSN: 1527-1315</identifier><identifier>DOI: 10.1148/radiol.2020192647</identifier><identifier>PMID: 33048033</identifier><language>eng</language><publisher>United States</publisher><subject>Adult ; Aged ; Aged, 80 and over ; Anisotropy ; Body Mass Index ; Cross-Sectional Studies ; Diabetes Mellitus, Type 2 - complications ; Diabetic Neuropathies ; Female ; Humans ; Image Interpretation, Computer-Assisted ; Lower Extremity - diagnostic imaging ; Magnetic Resonance Imaging - methods ; Male ; Middle Aged ; Muscle Strength ; Muscle, Skeletal - diagnostic imaging ; Prospective Studies</subject><ispartof>Radiology, 2020-12, Vol.297 (3), p.608-619</ispartof><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c311t-efebe401bebaa393f898f05262e17f4bc34d99223046b8f3c4a24011bf4b76e3</citedby><cites>FETCH-LOGICAL-c311t-efebe401bebaa393f898f05262e17f4bc34d99223046b8f3c4a24011bf4b76e3</cites><orcidid>0000-0002-9082-2694 ; 0000-0001-8396-462X ; 0000-0001-7666-6819 ; 0000-0001-8495-9769 ; 0000-0003-3841-0497</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,4014,27923,27924</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33048033$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Stouge, Anders</creatorcontrib><creatorcontrib>Khan, Karolina S</creatorcontrib><creatorcontrib>Kristensen, Alexander G</creatorcontrib><creatorcontrib>Tankisi, Hatice</creatorcontrib><creatorcontrib>Schlaffke, Lara</creatorcontrib><creatorcontrib>Froeling, Martijn</creatorcontrib><creatorcontrib>Væggemose, Michael</creatorcontrib><creatorcontrib>Andersen, Henning</creatorcontrib><title>MRI of Skeletal Muscles in Participants with Type 2 Diabetes with or without Diabetic Polyneuropathy</title><title>Radiology</title><addtitle>Radiology</addtitle><description><![CDATA[BackgroundDiabetic polyneuropathy (DPN) is associated with loss of muscle strength. MRI including diffusion-tensor imaging (DTI) may enable detection of muscle abnormalities related to type 2 diabetes mellitus (DM2) and DPN.PurposeTo assess skeletal muscle abnormalities in participants with DM2 with or without DPN by using MRI.Materials and MethodsThis prospective cross-sectional study included participants with DM2 and DPN (DPN positive), participants with DM2 without DPN (DPN negative), and healthy control (HC) participants enrolled between August 2017 and June 2018. Muscle strength at the knee and ankle was determined with isokinetic dynamometry. MRI of the lower extremities included the Dixon sequence, multicomponent T2 mapping, and DTI calculated fat fractions (FFs), T2 relaxation of muscle (T2 ), fractional anisotropy (FA), and diffusivity (mean, axial, and radial). One-way analysis of variance and Tukey honestly significant difference were applied for comparison between groups, and multivariate regression models were used for association between MRI parameters, nerve conduction, strength, and body mass index (BMI).ResultsTwenty participants with DPN (mean age, 65 years ± 9 [standard deviation]; 70% men; mean BMI, 34 kg/m ± 5), 20 participants without DPN (mean age, 64 years ± 9; 55% men; mean BMI, 30 kg/m ± 6), and 20 HC participants (mean age, 61 years ± 10; 55% men; mean BMI, 27 kg/m ± 5) were enrolled in this study. Muscle strength adjusted for age, sex, and BMI was lower in participants with DPN than in DPN-negative and HC participants in the upper and lower leg (plantar flexors [PF], 62% vs 78% vs 89%; < .001; knee extensors [KE], 73% vs 95% vs 93%; < .001). FF was higher in leg muscle groups of participants with DPN than in DPN-negative and HC participants (PF, 20% vs 10% vs 8%; < .001; KE, 13% vs 8% vs 6%; < .001). T2 was prolonged in leg muscle groups of participants with DPN when compared with HC participants (PF, 33 msec vs 31 msec; < .001; KE, 32 msec vs 31 msec; = .002) and in the lower leg when compared with participants without DPN (PF, 33 msec vs 32 msec; = .03). In multivariate regression models, strength was associated with FA ( = -0.0004), T2 ( = -0.03 msec), and FF ( = -0.1%) at thigh level ( < .001). Furthermore, FA ( = -0.007), T2 ( = -0.53 msec), and FF ( = -4.0%) were associated with nerve conduction at calf level ( < .001).ConclusionMRI of leg muscle groups revealed fat accumulation, differences in water composition, and structural changes in participants with type 2 diabetes mellitus and neuropathy. Abnormalities were most pronounced in the plantar flexors.© RSNA, 2020 See also the editorial by Sneag and Tan in this issue.]]></description><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Anisotropy</subject><subject>Body Mass Index</subject><subject>Cross-Sectional Studies</subject><subject>Diabetes Mellitus, Type 2 - complications</subject><subject>Diabetic Neuropathies</subject><subject>Female</subject><subject>Humans</subject><subject>Image Interpretation, Computer-Assisted</subject><subject>Lower Extremity - diagnostic imaging</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Muscle Strength</subject><subject>Muscle, Skeletal - diagnostic imaging</subject><subject>Prospective Studies</subject><issn>0033-8419</issn><issn>1527-1315</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpFkMtOwzAQRS0EoqXwAWyQfyDFYzuvJSqvSq2oIPvITsaqIW0i2xHK3xNogdWV5swdjQ4h18DmADK7daq2bTPnjDPIeSLTEzKFmKcRCIhPyZQxIaJMQj4hF96_MwYyztJzMhGCyWyEU1KvX5e0NfTtAxsMqqHr3lcNemr3dKNcsJXt1D54-mnDlhZDh5TTe6s0BjwOW_eTbR-OwFZ00zbDHnvXdipsh0tyZlTj8eqYM1I8PhSL52j18rRc3K2iSgCECA1qlAw0aqVELkyWZ4bFPOEIqZG6ErLOc87H5xOdGVFJxcd10CNLExQzAoezlWu9d2jKztmdckMJrPwWVh6Elf_Cxs7NodP1eof1X-PXkPgCR4po8g</recordid><startdate>202012</startdate><enddate>202012</enddate><creator>Stouge, Anders</creator><creator>Khan, Karolina S</creator><creator>Kristensen, Alexander G</creator><creator>Tankisi, Hatice</creator><creator>Schlaffke, Lara</creator><creator>Froeling, Martijn</creator><creator>Væggemose, Michael</creator><creator>Andersen, Henning</creator><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0002-9082-2694</orcidid><orcidid>https://orcid.org/0000-0001-8396-462X</orcidid><orcidid>https://orcid.org/0000-0001-7666-6819</orcidid><orcidid>https://orcid.org/0000-0001-8495-9769</orcidid><orcidid>https://orcid.org/0000-0003-3841-0497</orcidid></search><sort><creationdate>202012</creationdate><title>MRI of Skeletal Muscles in Participants with Type 2 Diabetes with or without Diabetic Polyneuropathy</title><author>Stouge, Anders ; Khan, Karolina S ; Kristensen, Alexander G ; Tankisi, Hatice ; Schlaffke, Lara ; Froeling, Martijn ; Væggemose, Michael ; Andersen, Henning</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c311t-efebe401bebaa393f898f05262e17f4bc34d99223046b8f3c4a24011bf4b76e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Anisotropy</topic><topic>Body Mass Index</topic><topic>Cross-Sectional Studies</topic><topic>Diabetes Mellitus, Type 2 - complications</topic><topic>Diabetic Neuropathies</topic><topic>Female</topic><topic>Humans</topic><topic>Image Interpretation, Computer-Assisted</topic><topic>Lower Extremity - diagnostic imaging</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Muscle Strength</topic><topic>Muscle, Skeletal - diagnostic imaging</topic><topic>Prospective Studies</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Stouge, Anders</creatorcontrib><creatorcontrib>Khan, Karolina S</creatorcontrib><creatorcontrib>Kristensen, Alexander G</creatorcontrib><creatorcontrib>Tankisi, Hatice</creatorcontrib><creatorcontrib>Schlaffke, Lara</creatorcontrib><creatorcontrib>Froeling, Martijn</creatorcontrib><creatorcontrib>Væggemose, Michael</creatorcontrib><creatorcontrib>Andersen, Henning</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><jtitle>Radiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Stouge, Anders</au><au>Khan, Karolina S</au><au>Kristensen, Alexander G</au><au>Tankisi, Hatice</au><au>Schlaffke, Lara</au><au>Froeling, Martijn</au><au>Væggemose, Michael</au><au>Andersen, Henning</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>MRI of Skeletal Muscles in Participants with Type 2 Diabetes with or without Diabetic Polyneuropathy</atitle><jtitle>Radiology</jtitle><addtitle>Radiology</addtitle><date>2020-12</date><risdate>2020</risdate><volume>297</volume><issue>3</issue><spage>608</spage><epage>619</epage><pages>608-619</pages><issn>0033-8419</issn><eissn>1527-1315</eissn><abstract><![CDATA[BackgroundDiabetic polyneuropathy (DPN) is associated with loss of muscle strength. MRI including diffusion-tensor imaging (DTI) may enable detection of muscle abnormalities related to type 2 diabetes mellitus (DM2) and DPN.PurposeTo assess skeletal muscle abnormalities in participants with DM2 with or without DPN by using MRI.Materials and MethodsThis prospective cross-sectional study included participants with DM2 and DPN (DPN positive), participants with DM2 without DPN (DPN negative), and healthy control (HC) participants enrolled between August 2017 and June 2018. Muscle strength at the knee and ankle was determined with isokinetic dynamometry. MRI of the lower extremities included the Dixon sequence, multicomponent T2 mapping, and DTI calculated fat fractions (FFs), T2 relaxation of muscle (T2 ), fractional anisotropy (FA), and diffusivity (mean, axial, and radial). One-way analysis of variance and Tukey honestly significant difference were applied for comparison between groups, and multivariate regression models were used for association between MRI parameters, nerve conduction, strength, and body mass index (BMI).ResultsTwenty participants with DPN (mean age, 65 years ± 9 [standard deviation]; 70% men; mean BMI, 34 kg/m ± 5), 20 participants without DPN (mean age, 64 years ± 9; 55% men; mean BMI, 30 kg/m ± 6), and 20 HC participants (mean age, 61 years ± 10; 55% men; mean BMI, 27 kg/m ± 5) were enrolled in this study. Muscle strength adjusted for age, sex, and BMI was lower in participants with DPN than in DPN-negative and HC participants in the upper and lower leg (plantar flexors [PF], 62% vs 78% vs 89%; < .001; knee extensors [KE], 73% vs 95% vs 93%; < .001). FF was higher in leg muscle groups of participants with DPN than in DPN-negative and HC participants (PF, 20% vs 10% vs 8%; < .001; KE, 13% vs 8% vs 6%; < .001). T2 was prolonged in leg muscle groups of participants with DPN when compared with HC participants (PF, 33 msec vs 31 msec; < .001; KE, 32 msec vs 31 msec; = .002) and in the lower leg when compared with participants without DPN (PF, 33 msec vs 32 msec; = .03). In multivariate regression models, strength was associated with FA ( = -0.0004), T2 ( = -0.03 msec), and FF ( = -0.1%) at thigh level ( < .001). Furthermore, FA ( = -0.007), T2 ( = -0.53 msec), and FF ( = -4.0%) were associated with nerve conduction at calf level ( < .001).ConclusionMRI of leg muscle groups revealed fat accumulation, differences in water composition, and structural changes in participants with type 2 diabetes mellitus and neuropathy. Abnormalities were most pronounced in the plantar flexors.© RSNA, 2020 See also the editorial by Sneag and Tan in this issue.]]></abstract><cop>United States</cop><pmid>33048033</pmid><doi>10.1148/radiol.2020192647</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0002-9082-2694</orcidid><orcidid>https://orcid.org/0000-0001-8396-462X</orcidid><orcidid>https://orcid.org/0000-0001-7666-6819</orcidid><orcidid>https://orcid.org/0000-0001-8495-9769</orcidid><orcidid>https://orcid.org/0000-0003-3841-0497</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0033-8419
ispartof Radiology, 2020-12, Vol.297 (3), p.608-619
issn 0033-8419
1527-1315
language eng
recordid cdi_crossref_primary_10_1148_radiol_2020192647
source MEDLINE; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Radiological Society of North America
subjects Adult
Aged
Aged, 80 and over
Anisotropy
Body Mass Index
Cross-Sectional Studies
Diabetes Mellitus, Type 2 - complications
Diabetic Neuropathies
Female
Humans
Image Interpretation, Computer-Assisted
Lower Extremity - diagnostic imaging
Magnetic Resonance Imaging - methods
Male
Middle Aged
Muscle Strength
Muscle, Skeletal - diagnostic imaging
Prospective Studies
title MRI of Skeletal Muscles in Participants with Type 2 Diabetes with or without Diabetic Polyneuropathy
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-11T20%3A28%3A48IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-pubmed_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=MRI%20of%20Skeletal%20Muscles%20in%20Participants%20with%20Type%202%20Diabetes%20with%20or%20without%20Diabetic%20Polyneuropathy&rft.jtitle=Radiology&rft.au=Stouge,%20Anders&rft.date=2020-12&rft.volume=297&rft.issue=3&rft.spage=608&rft.epage=619&rft.pages=608-619&rft.issn=0033-8419&rft.eissn=1527-1315&rft_id=info:doi/10.1148/radiol.2020192647&rft_dat=%3Cpubmed_cross%3E33048033%3C/pubmed_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/33048033&rfr_iscdi=true