Agreement between software programmes of body composition analyses on abdominal computed tomography scans of obese adults
Objective A large number of studies have used abdominal computed tomography (CT) to quantify body composition, and different software programmes have been used to perform these analyses. Thus, this comparison is important to enable researchers to know the performance of more accessible software. Sub...
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description | Objective A large number of studies have used abdominal computed tomography (CT) to quantify body composition, and different software programmes have been used to perform these analyses. Thus, this comparison is important to enable researchers to know the performance of more accessible software. Subjects and methods Fifty-four abdominal CT scans of obese (BMI 30 to 39.9 kg/m2), sedentary adults (24-41 years) patients from a Brazilian single center were selected. Two software programs were compared: Slice-O-Matic (Tomovision, Canada) version 5.0 and OsiriX version 5.8.5. The body composition analysis were segmented using standard Hounsfield unit (HU) (adipose tissue: -190 to +30 and skeletal muscle: -29 to +150) and measured at the mid third lumbar vertebra (L3) level on a slice showing both transversal processes. Bland-Altman limits of agreement analyses were used to assess the level of agreement between Slice-O-Matic and OsiriX. Results A total of fifty-four participants were evaluated, with majority women (69%), mean of age 31.3 (SD 6.5) years and obesity grade I most prevalent (74.1%). The agreement, in Bland-Altman analysis, between Slice-O-Matic and OsiriX analisys for the muscle mass tissue, visceral adipose tissue and subcutaneous adipose tissue were excellent (≥ 0.954) with P-values < 0.001. Conclusion These findings show that Slice-O-Matic and OsiriX softwares agreement in measurements of skeletal muscle and adipose tissue and sarcopenia diagnosis in obese patients, suggesting good applicability in studies with body composition in this population and clinical practice. |
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Thus, this comparison is important to enable researchers to know the performance of more accessible software. Subjects and methods Fifty-four abdominal CT scans of obese (BMI 30 to 39.9 kg/m2), sedentary adults (24-41 years) patients from a Brazilian single center were selected. Two software programs were compared: Slice-O-Matic (Tomovision, Canada) version 5.0 and OsiriX version 5.8.5. The body composition analysis were segmented using standard Hounsfield unit (HU) (adipose tissue: -190 to +30 and skeletal muscle: -29 to +150) and measured at the mid third lumbar vertebra (L3) level on a slice showing both transversal processes. Bland-Altman limits of agreement analyses were used to assess the level of agreement between Slice-O-Matic and OsiriX. Results A total of fifty-four participants were evaluated, with majority women (69%), mean of age 31.3 (SD 6.5) years and obesity grade I most prevalent (74.1%). The agreement, in Bland-Altman analysis, between Slice-O-Matic and OsiriX analisys for the muscle mass tissue, visceral adipose tissue and subcutaneous adipose tissue were excellent (≥ 0.954) with P-values < 0.001. Conclusion These findings show that Slice-O-Matic and OsiriX softwares agreement in measurements of skeletal muscle and adipose tissue and sarcopenia diagnosis in obese patients, suggesting good applicability in studies with body composition in this population and clinical practice.</description><identifier>ISSN: 2359-3997</identifier><identifier>ISSN: 2359-4292</identifier><identifier>EISSN: 2359-4292</identifier><identifier>DOI: 10.20945/2359-3997000000174</identifier><identifier>PMID: 31576962</identifier><language>eng</language><publisher>Brazil: Sociedade Brasileira de Endocrinologia e Metabologia</publisher><subject>Adult ; Body Composition ; Female ; Humans ; imaging techniques ; Intra-Abdominal Fat - diagnostic imaging ; Male ; Middle Aged ; Obesity - diagnostic imaging ; Observer Variation ; Original ; Reproducibility of Results ; Sedentary Behavior ; skeletal muscle mass ; subcutaneous adipose tissue ; Subcutaneous Fat - diagnostic imaging ; Tomography, X-Ray Computed ; visceral fat ; Young Adult</subject><ispartof>Archives of Endocrinology and Metabolism, 2020-02, Vol.64 (1), p.24-29</ispartof><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c511t-6f204ecbab9335e998a173b1f9914f5c659d4755f4cebffacbd02ac1d8e01b8e3</citedby><cites>FETCH-LOGICAL-c511t-6f204ecbab9335e998a173b1f9914f5c659d4755f4cebffacbd02ac1d8e01b8e3</cites><orcidid>0000-0002-8672-0126 ; 0000-0002-9130-9630 ; 0000-0003-2945-6872 ; 0000-0003-2802-4242 ; 0000-0002-6637-5089</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10522283/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10522283/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,725,778,782,862,883,27907,27908,53774,53776</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31576962$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Barbalho, Erica Roberta</creatorcontrib><creatorcontrib>Rocha, Ilanna Marques Gomes da</creatorcontrib><creatorcontrib>Medeiros, Galtieri Otávio Cunha de</creatorcontrib><creatorcontrib>Friedman, Rogerio</creatorcontrib><creatorcontrib>Fayh, Ana Paula Trussardi</creatorcontrib><title>Agreement between software programmes of body composition analyses on abdominal computed tomography scans of obese adults</title><title>Archives of Endocrinology and Metabolism</title><addtitle>Arch Endocrinol Metab</addtitle><description>Objective A large number of studies have used abdominal computed tomography (CT) to quantify body composition, and different software programmes have been used to perform these analyses. Thus, this comparison is important to enable researchers to know the performance of more accessible software. Subjects and methods Fifty-four abdominal CT scans of obese (BMI 30 to 39.9 kg/m2), sedentary adults (24-41 years) patients from a Brazilian single center were selected. Two software programs were compared: Slice-O-Matic (Tomovision, Canada) version 5.0 and OsiriX version 5.8.5. The body composition analysis were segmented using standard Hounsfield unit (HU) (adipose tissue: -190 to +30 and skeletal muscle: -29 to +150) and measured at the mid third lumbar vertebra (L3) level on a slice showing both transversal processes. Bland-Altman limits of agreement analyses were used to assess the level of agreement between Slice-O-Matic and OsiriX. Results A total of fifty-four participants were evaluated, with majority women (69%), mean of age 31.3 (SD 6.5) years and obesity grade I most prevalent (74.1%). The agreement, in Bland-Altman analysis, between Slice-O-Matic and OsiriX analisys for the muscle mass tissue, visceral adipose tissue and subcutaneous adipose tissue were excellent (≥ 0.954) with P-values < 0.001. Conclusion These findings show that Slice-O-Matic and OsiriX softwares agreement in measurements of skeletal muscle and adipose tissue and sarcopenia diagnosis in obese patients, suggesting good applicability in studies with body composition in this population and clinical practice.</description><subject>Adult</subject><subject>Body Composition</subject><subject>Female</subject><subject>Humans</subject><subject>imaging techniques</subject><subject>Intra-Abdominal Fat - diagnostic imaging</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Obesity - diagnostic imaging</subject><subject>Observer Variation</subject><subject>Original</subject><subject>Reproducibility of Results</subject><subject>Sedentary Behavior</subject><subject>skeletal muscle mass</subject><subject>subcutaneous adipose tissue</subject><subject>Subcutaneous Fat - diagnostic imaging</subject><subject>Tomography, X-Ray Computed</subject><subject>visceral fat</subject><subject>Young Adult</subject><issn>2359-3997</issn><issn>2359-4292</issn><issn>2359-4292</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>DOA</sourceid><recordid>eNpVkd1K5TAUhYOMqKhPIEhe4Iz5bZsrEXFUEOZmvA752TlW2qYkOUrfftoeR-bkJpu19_oS9kLoipKfjCghbxiXasOVqsl6aC2O0NkqCqbYj696GThFlzm_LzOSUirkCTrlVNaVqtgZmu62CaCHoWAL5RNgwDmG8mkS4DHFbTJ9DxnHgG30E3axH2NuSxsHbAbTTXlpzrX1sW9nYZ3YFfC4xH6xj28Tzs4MKyNayICN33UlX6DjYLoMl1_3OXr99fDn_mnz8vvx-f7uZePm75ZNFRgR4KyxinMJSjWG1tzSoBQVQbpKKi9qKYNwYEMwznrCjKO-AUJtA_wcPe-5Ppp3Paa2N2nS0bR6FWLaapNK6zrQ84aqwOvAVe0FVMQ4URNfeahsIx2jM-t2zxp3tgfv5rUl0x1ADztD-6a38UNTIhljDZ8JfE9wKeacIHybKdFrsnoJTh8kO7uu_3_32_MvR_4XMYSixQ</recordid><startdate>202002</startdate><enddate>202002</enddate><creator>Barbalho, Erica Roberta</creator><creator>Rocha, Ilanna Marques Gomes da</creator><creator>Medeiros, Galtieri Otávio Cunha de</creator><creator>Friedman, Rogerio</creator><creator>Fayh, Ana Paula Trussardi</creator><general>Sociedade Brasileira de Endocrinologia e Metabologia</general><general>Brazilian Society of Endocrinology and Metabolism</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>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-8672-0126</orcidid><orcidid>https://orcid.org/0000-0002-9130-9630</orcidid><orcidid>https://orcid.org/0000-0003-2945-6872</orcidid><orcidid>https://orcid.org/0000-0003-2802-4242</orcidid><orcidid>https://orcid.org/0000-0002-6637-5089</orcidid></search><sort><creationdate>202002</creationdate><title>Agreement between software programmes of body composition analyses on abdominal computed tomography scans of obese adults</title><author>Barbalho, Erica Roberta ; Rocha, Ilanna Marques Gomes da ; Medeiros, Galtieri Otávio Cunha de ; Friedman, Rogerio ; Fayh, Ana Paula Trussardi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c511t-6f204ecbab9335e998a173b1f9914f5c659d4755f4cebffacbd02ac1d8e01b8e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Adult</topic><topic>Body Composition</topic><topic>Female</topic><topic>Humans</topic><topic>imaging techniques</topic><topic>Intra-Abdominal Fat - diagnostic imaging</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Obesity - diagnostic imaging</topic><topic>Observer Variation</topic><topic>Original</topic><topic>Reproducibility of Results</topic><topic>Sedentary Behavior</topic><topic>skeletal muscle mass</topic><topic>subcutaneous adipose tissue</topic><topic>Subcutaneous Fat - diagnostic imaging</topic><topic>Tomography, X-Ray Computed</topic><topic>visceral fat</topic><topic>Young Adult</topic><toplevel>online_resources</toplevel><creatorcontrib>Barbalho, Erica Roberta</creatorcontrib><creatorcontrib>Rocha, Ilanna Marques Gomes da</creatorcontrib><creatorcontrib>Medeiros, Galtieri Otávio Cunha de</creatorcontrib><creatorcontrib>Friedman, Rogerio</creatorcontrib><creatorcontrib>Fayh, Ana Paula Trussardi</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Archives of Endocrinology and Metabolism</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Barbalho, Erica Roberta</au><au>Rocha, Ilanna Marques Gomes da</au><au>Medeiros, Galtieri Otávio Cunha de</au><au>Friedman, Rogerio</au><au>Fayh, Ana Paula Trussardi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Agreement between software programmes of body composition analyses on abdominal computed tomography scans of obese adults</atitle><jtitle>Archives of Endocrinology and Metabolism</jtitle><addtitle>Arch Endocrinol Metab</addtitle><date>2020-02</date><risdate>2020</risdate><volume>64</volume><issue>1</issue><spage>24</spage><epage>29</epage><pages>24-29</pages><issn>2359-3997</issn><issn>2359-4292</issn><eissn>2359-4292</eissn><abstract>Objective A large number of studies have used abdominal computed tomography (CT) to quantify body composition, and different software programmes have been used to perform these analyses. Thus, this comparison is important to enable researchers to know the performance of more accessible software. Subjects and methods Fifty-four abdominal CT scans of obese (BMI 30 to 39.9 kg/m2), sedentary adults (24-41 years) patients from a Brazilian single center were selected. Two software programs were compared: Slice-O-Matic (Tomovision, Canada) version 5.0 and OsiriX version 5.8.5. The body composition analysis were segmented using standard Hounsfield unit (HU) (adipose tissue: -190 to +30 and skeletal muscle: -29 to +150) and measured at the mid third lumbar vertebra (L3) level on a slice showing both transversal processes. Bland-Altman limits of agreement analyses were used to assess the level of agreement between Slice-O-Matic and OsiriX. Results A total of fifty-four participants were evaluated, with majority women (69%), mean of age 31.3 (SD 6.5) years and obesity grade I most prevalent (74.1%). The agreement, in Bland-Altman analysis, between Slice-O-Matic and OsiriX analisys for the muscle mass tissue, visceral adipose tissue and subcutaneous adipose tissue were excellent (≥ 0.954) with P-values < 0.001. Conclusion These findings show that Slice-O-Matic and OsiriX softwares agreement in measurements of skeletal muscle and adipose tissue and sarcopenia diagnosis in obese patients, suggesting good applicability in studies with body composition in this population and clinical practice.</abstract><cop>Brazil</cop><pub>Sociedade Brasileira de Endocrinologia e Metabologia</pub><pmid>31576962</pmid><doi>10.20945/2359-3997000000174</doi><tpages>6</tpages><orcidid>https://orcid.org/0000-0002-8672-0126</orcidid><orcidid>https://orcid.org/0000-0002-9130-9630</orcidid><orcidid>https://orcid.org/0000-0003-2945-6872</orcidid><orcidid>https://orcid.org/0000-0003-2802-4242</orcidid><orcidid>https://orcid.org/0000-0002-6637-5089</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Adult Body Composition Female Humans imaging techniques Intra-Abdominal Fat - diagnostic imaging Male Middle Aged Obesity - diagnostic imaging Observer Variation Original Reproducibility of Results Sedentary Behavior skeletal muscle mass subcutaneous adipose tissue Subcutaneous Fat - diagnostic imaging Tomography, X-Ray Computed visceral fat Young Adult |
title | Agreement between software programmes of body composition analyses on abdominal computed tomography scans of obese adults |
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