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A reliable and robust method for the upper thigh muscle quantification on computed tomography: toward a quantitative biomarker for sarcopenia
We aimed to evaluate the feasibility of the upper thigh level as a landmark to measure muscle area for sarcopenia assessment on computed tomography (CT). In the 116 healthy subjects who performed CT scans covering from mid-abdomen to feet, the skeletal muscle area in the upper thigh level at the inf...
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Published in: | BMC musculoskeletal disorders 2022-01, Vol.23 (1), p.93-93, Article 93 |
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description | We aimed to evaluate the feasibility of the upper thigh level as a landmark to measure muscle area for sarcopenia assessment on computed tomography (CT).
In the 116 healthy subjects who performed CT scans covering from mid-abdomen to feet, the skeletal muscle area in the upper thigh level at the inferior tip of ischial tuberosity (SMA
), the mid-thigh level (SMA
), and L3 inferior endplate level (SMA
) were measured by two independent readers. Pearson correlation coefficients between SMA
, SMA
, and SMA
were calculated. Inter-reader agreement between the two readers were evaluated using intraclass correlation coefficient (ICC) and Bland-Altman plots with 95% limit of agreement (LOA).
In readers 1 and 2, very high positive correlations were observed between SMA
and SMA
(r = 0.91 and 0.92, respectively) and between SMA
and SMA
(r = 0.90 and 0.91, respectively), while high positive correlation were observed between SMA
and SMA
(r = 0.87 and 0.87, respectively). Based on ICC values, the inter-reader agreement was the best in the SMA
(0.999), followed by the SMA
(0.990) and SMA
(0.956). The 95% LOAs in the Bland-Altman plots indicated that the inter-reader agreement of the SMA
(- 0.462 to 1.513) was the best, followed by the SMA
(- 9.949 to 7.636) and SMA
(- 12.105 to 14.605).
Muscle area measurement at the upper thigh level correlates well with those with the mid-thigh and L3 inferior endpoint level and shows the highest inter-reader agreement. Thus, the upper thigh level might be an excellent landmark enabling SMA
as a reliable and robust biomarker for muscle area measurement for sarcopenia assessment. |
doi_str_mv | 10.1186/s12891-022-05032-2 |
format | article |
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In the 116 healthy subjects who performed CT scans covering from mid-abdomen to feet, the skeletal muscle area in the upper thigh level at the inferior tip of ischial tuberosity (SMA
), the mid-thigh level (SMA
), and L3 inferior endplate level (SMA
) were measured by two independent readers. Pearson correlation coefficients between SMA
, SMA
, and SMA
were calculated. Inter-reader agreement between the two readers were evaluated using intraclass correlation coefficient (ICC) and Bland-Altman plots with 95% limit of agreement (LOA).
In readers 1 and 2, very high positive correlations were observed between SMA
and SMA
(r = 0.91 and 0.92, respectively) and between SMA
and SMA
(r = 0.90 and 0.91, respectively), while high positive correlation were observed between SMA
and SMA
(r = 0.87 and 0.87, respectively). Based on ICC values, the inter-reader agreement was the best in the SMA
(0.999), followed by the SMA
(0.990) and SMA
(0.956). The 95% LOAs in the Bland-Altman plots indicated that the inter-reader agreement of the SMA
(- 0.462 to 1.513) was the best, followed by the SMA
(- 9.949 to 7.636) and SMA
(- 12.105 to 14.605).
Muscle area measurement at the upper thigh level correlates well with those with the mid-thigh and L3 inferior endpoint level and shows the highest inter-reader agreement. Thus, the upper thigh level might be an excellent landmark enabling SMA
as a reliable and robust biomarker for muscle area measurement for sarcopenia assessment.</description><identifier>ISSN: 1471-2474</identifier><identifier>EISSN: 1471-2474</identifier><identifier>DOI: 10.1186/s12891-022-05032-2</identifier><identifier>PMID: 35086521</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Abdomen ; Agreements ; Analysis ; Biological markers ; Biomarker ; Biomarkers ; Computed tomography ; Diagnosis ; Humans ; Landmark ; Magnetic Resonance Imaging ; Medical examination ; Medical imaging ; Muscle ; Muscle, Skeletal - diagnostic imaging ; Muscle, Skeletal - pathology ; Muscles ; Musculoskeletal diseases ; Musculoskeletal system ; Older people ; Patients ; Risk factors ; Sarcopenia ; Sarcopenia - diagnostic imaging ; Skeletal muscle ; Software ; Thigh - diagnostic imaging ; Tomography ; Tomography, X-Ray Computed ; Variance analysis ; Varicose veins</subject><ispartof>BMC musculoskeletal disorders, 2022-01, Vol.23 (1), p.93-93, Article 93</ispartof><rights>2022. The Author(s).</rights><rights>COPYRIGHT 2022 BioMed Central Ltd.</rights><rights>2022. 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) 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c563t-bc61dc03b4c68da3cb8644c2097d8a11be258ee70d4e35a8cbd3298bedabbd23</citedby><cites>FETCH-LOGICAL-c563t-bc61dc03b4c68da3cb8644c2097d8a11be258ee70d4e35a8cbd3298bedabbd23</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/PMC8796642/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2630467098?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,25732,27903,27904,36991,36992,44569,53769,53771</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35086521$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ko, Yousun</creatorcontrib><creatorcontrib>Shin, Youngbin</creatorcontrib><creatorcontrib>Sung, Yu Sub</creatorcontrib><creatorcontrib>Lee, Jiwoo</creatorcontrib><creatorcontrib>Lee, Jei Hee</creatorcontrib><creatorcontrib>Kim, Jai Keun</creatorcontrib><creatorcontrib>Park, Jisuk</creatorcontrib><creatorcontrib>Ko, Hye Sun</creatorcontrib><creatorcontrib>Kim, Kyung Won</creatorcontrib><creatorcontrib>Huh, Jimi</creatorcontrib><title>A reliable and robust method for the upper thigh muscle quantification on computed tomography: toward a quantitative biomarker for sarcopenia</title><title>BMC musculoskeletal disorders</title><addtitle>BMC Musculoskelet Disord</addtitle><description>We aimed to evaluate the feasibility of the upper thigh level as a landmark to measure muscle area for sarcopenia assessment on computed tomography (CT).
In the 116 healthy subjects who performed CT scans covering from mid-abdomen to feet, the skeletal muscle area in the upper thigh level at the inferior tip of ischial tuberosity (SMA
), the mid-thigh level (SMA
), and L3 inferior endplate level (SMA
) were measured by two independent readers. Pearson correlation coefficients between SMA
, SMA
, and SMA
were calculated. Inter-reader agreement between the two readers were evaluated using intraclass correlation coefficient (ICC) and Bland-Altman plots with 95% limit of agreement (LOA).
In readers 1 and 2, very high positive correlations were observed between SMA
and SMA
(r = 0.91 and 0.92, respectively) and between SMA
and SMA
(r = 0.90 and 0.91, respectively), while high positive correlation were observed between SMA
and SMA
(r = 0.87 and 0.87, respectively). Based on ICC values, the inter-reader agreement was the best in the SMA
(0.999), followed by the SMA
(0.990) and SMA
(0.956). The 95% LOAs in the Bland-Altman plots indicated that the inter-reader agreement of the SMA
(- 0.462 to 1.513) was the best, followed by the SMA
(- 9.949 to 7.636) and SMA
(- 12.105 to 14.605).
Muscle area measurement at the upper thigh level correlates well with those with the mid-thigh and L3 inferior endpoint level and shows the highest inter-reader agreement. Thus, the upper thigh level might be an excellent landmark enabling SMA
as a reliable and robust biomarker for muscle area measurement for sarcopenia assessment.</description><subject>Abdomen</subject><subject>Agreements</subject><subject>Analysis</subject><subject>Biological markers</subject><subject>Biomarker</subject><subject>Biomarkers</subject><subject>Computed tomography</subject><subject>Diagnosis</subject><subject>Humans</subject><subject>Landmark</subject><subject>Magnetic Resonance Imaging</subject><subject>Medical examination</subject><subject>Medical imaging</subject><subject>Muscle</subject><subject>Muscle, Skeletal - diagnostic imaging</subject><subject>Muscle, Skeletal - pathology</subject><subject>Muscles</subject><subject>Musculoskeletal diseases</subject><subject>Musculoskeletal system</subject><subject>Older people</subject><subject>Patients</subject><subject>Risk factors</subject><subject>Sarcopenia</subject><subject>Sarcopenia - diagnostic imaging</subject><subject>Skeletal muscle</subject><subject>Software</subject><subject>Thigh - diagnostic imaging</subject><subject>Tomography</subject><subject>Tomography, X-Ray Computed</subject><subject>Variance analysis</subject><subject>Varicose veins</subject><issn>1471-2474</issn><issn>1471-2474</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNptkstu1TAQhiMEoqXwAiyQJTZsUnxJHIcF0lHFpVIlNt1bvkxyfEji1HZa9SF4Z5yeQ-lByJY8sr_5Z8b6i-ItweeECP4xEipaUmJKS1xjRkv6rDglVUNKWjXV8yfxSfEqxh3GpBGsfVmcsBoLXlNyWvzaoACDU3oApCaLgtdLTGiEtPUWdT6gtAW0zDOskeu3aFyiyfDNoqbkOmdUcn5CeRs_zksCi5IffR_UvL3_lOM7FSxSBz5l-haQdn5U4WfWXCtEFYyfYXLqdfGiU0OEN4fzrLj--uX64nt59ePb5cXmqjQ1Z6nUhhNrMNOV4cIqZrTgVWUobhsrFCEaaC0AGmwrYLUSRltGW6HBKq0tZWfF5V7WerWTc3C5mXvplZMPFz70UoXk8phScGYbzSmhwCvdda1tMRWEE6C05k2XtT7vteZFj2ANTCmo4Uj0-GVyW9n7WymalvNqbebDQSD4mwVikqOLBoZBTeCXKCmnTLQUizaj7_9Bd34JU_6pTDFc8Qa34i_VqzyAmzqf65pVVG54ixteZ99k6vw_VF4WRmf8BJ3L90cJdJ9ggo8xQPc4I8Fy9aPc-1FmP8oHP8p1uHdPf-cx5Y8B2W9JiN2m</recordid><startdate>20220127</startdate><enddate>20220127</enddate><creator>Ko, Yousun</creator><creator>Shin, Youngbin</creator><creator>Sung, Yu Sub</creator><creator>Lee, Jiwoo</creator><creator>Lee, Jei Hee</creator><creator>Kim, Jai Keun</creator><creator>Park, Jisuk</creator><creator>Ko, Hye Sun</creator><creator>Kim, Kyung Won</creator><creator>Huh, Jimi</creator><general>BioMed Central Ltd</general><general>BioMed Central</general><general>BMC</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>7QP</scope><scope>7RV</scope><scope>7TK</scope><scope>7TS</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>KB0</scope><scope>M0S</scope><scope>M1P</scope><scope>NAPCQ</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>20220127</creationdate><title>A reliable and robust method for the upper thigh muscle quantification on computed tomography: toward a quantitative biomarker for sarcopenia</title><author>Ko, Yousun ; Shin, Youngbin ; Sung, Yu Sub ; Lee, Jiwoo ; Lee, Jei Hee ; Kim, Jai Keun ; Park, Jisuk ; Ko, Hye Sun ; Kim, Kyung Won ; Huh, Jimi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c563t-bc61dc03b4c68da3cb8644c2097d8a11be258ee70d4e35a8cbd3298bedabbd23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Abdomen</topic><topic>Agreements</topic><topic>Analysis</topic><topic>Biological markers</topic><topic>Biomarker</topic><topic>Biomarkers</topic><topic>Computed tomography</topic><topic>Diagnosis</topic><topic>Humans</topic><topic>Landmark</topic><topic>Magnetic Resonance Imaging</topic><topic>Medical examination</topic><topic>Medical imaging</topic><topic>Muscle</topic><topic>Muscle, Skeletal - diagnostic imaging</topic><topic>Muscle, Skeletal - pathology</topic><topic>Muscles</topic><topic>Musculoskeletal diseases</topic><topic>Musculoskeletal system</topic><topic>Older people</topic><topic>Patients</topic><topic>Risk factors</topic><topic>Sarcopenia</topic><topic>Sarcopenia - diagnostic imaging</topic><topic>Skeletal muscle</topic><topic>Software</topic><topic>Thigh - diagnostic imaging</topic><topic>Tomography</topic><topic>Tomography, X-Ray Computed</topic><topic>Variance analysis</topic><topic>Varicose veins</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ko, Yousun</creatorcontrib><creatorcontrib>Shin, Youngbin</creatorcontrib><creatorcontrib>Sung, Yu Sub</creatorcontrib><creatorcontrib>Lee, Jiwoo</creatorcontrib><creatorcontrib>Lee, Jei Hee</creatorcontrib><creatorcontrib>Kim, Jai Keun</creatorcontrib><creatorcontrib>Park, Jisuk</creatorcontrib><creatorcontrib>Ko, Hye Sun</creatorcontrib><creatorcontrib>Kim, Kyung Won</creatorcontrib><creatorcontrib>Huh, Jimi</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>Calcium & Calcified Tissue Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Neurosciences Abstracts</collection><collection>Physical Education Index</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)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Publicly Available Content Database</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 musculoskeletal disorders</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ko, Yousun</au><au>Shin, Youngbin</au><au>Sung, Yu Sub</au><au>Lee, Jiwoo</au><au>Lee, Jei Hee</au><au>Kim, Jai Keun</au><au>Park, Jisuk</au><au>Ko, Hye Sun</au><au>Kim, Kyung Won</au><au>Huh, Jimi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A reliable and robust method for the upper thigh muscle quantification on computed tomography: toward a quantitative biomarker for sarcopenia</atitle><jtitle>BMC musculoskeletal disorders</jtitle><addtitle>BMC Musculoskelet Disord</addtitle><date>2022-01-27</date><risdate>2022</risdate><volume>23</volume><issue>1</issue><spage>93</spage><epage>93</epage><pages>93-93</pages><artnum>93</artnum><issn>1471-2474</issn><eissn>1471-2474</eissn><abstract>We aimed to evaluate the feasibility of the upper thigh level as a landmark to measure muscle area for sarcopenia assessment on computed tomography (CT).
In the 116 healthy subjects who performed CT scans covering from mid-abdomen to feet, the skeletal muscle area in the upper thigh level at the inferior tip of ischial tuberosity (SMA
), the mid-thigh level (SMA
), and L3 inferior endplate level (SMA
) were measured by two independent readers. Pearson correlation coefficients between SMA
, SMA
, and SMA
were calculated. Inter-reader agreement between the two readers were evaluated using intraclass correlation coefficient (ICC) and Bland-Altman plots with 95% limit of agreement (LOA).
In readers 1 and 2, very high positive correlations were observed between SMA
and SMA
(r = 0.91 and 0.92, respectively) and between SMA
and SMA
(r = 0.90 and 0.91, respectively), while high positive correlation were observed between SMA
and SMA
(r = 0.87 and 0.87, respectively). Based on ICC values, the inter-reader agreement was the best in the SMA
(0.999), followed by the SMA
(0.990) and SMA
(0.956). The 95% LOAs in the Bland-Altman plots indicated that the inter-reader agreement of the SMA
(- 0.462 to 1.513) was the best, followed by the SMA
(- 9.949 to 7.636) and SMA
(- 12.105 to 14.605).
Muscle area measurement at the upper thigh level correlates well with those with the mid-thigh and L3 inferior endpoint level and shows the highest inter-reader agreement. Thus, the upper thigh level might be an excellent landmark enabling SMA
as a reliable and robust biomarker for muscle area measurement for sarcopenia assessment.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>35086521</pmid><doi>10.1186/s12891-022-05032-2</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Abdomen Agreements Analysis Biological markers Biomarker Biomarkers Computed tomography Diagnosis Humans Landmark Magnetic Resonance Imaging Medical examination Medical imaging Muscle Muscle, Skeletal - diagnostic imaging Muscle, Skeletal - pathology Muscles Musculoskeletal diseases Musculoskeletal system Older people Patients Risk factors Sarcopenia Sarcopenia - diagnostic imaging Skeletal muscle Software Thigh - diagnostic imaging Tomography Tomography, X-Ray Computed Variance analysis Varicose veins |
title | A reliable and robust method for the upper thigh muscle quantification on computed tomography: toward a quantitative biomarker for sarcopenia |
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