Correlation of reduced temporal muscle thickness and systemic muscle loss in newly diagnosed glioblastoma patients

Purpose Reduced temporal muscle thickness (TMT) has recently been postulated as a prognostic imaging marker and an objective tool to assess patients frailty in glioblastoma. Our aim is to investigate the correlation of TMT and systemic muscle loss to confirm that TMT is an adequate surrogate marker...

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Veröffentlicht in:Journal of neuro-oncology 2022-12, Vol.160 (3), p.611-618
Hauptverfasser: ten Cate, Cecil, Huijs, Sandra M. H., Willemsen, Anna C. H., Pasmans, Raphael C. O. S., Eekers, Daniëlle B. P., Zegers, Catharina M. L., Ackermans, Linda, Beckervordersandforth, Jan, van Raak, Elisabeth P. M., Anten, Monique H. M. E., Hoeben, Ann, Postma, Alida A., Broen, Martinus P. G.
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container_end_page 618
container_issue 3
container_start_page 611
container_title Journal of neuro-oncology
container_volume 160
creator ten Cate, Cecil
Huijs, Sandra M. H.
Willemsen, Anna C. H.
Pasmans, Raphael C. O. S.
Eekers, Daniëlle B. P.
Zegers, Catharina M. L.
Ackermans, Linda
Beckervordersandforth, Jan
van Raak, Elisabeth P. M.
Anten, Monique H. M. E.
Hoeben, Ann
Postma, Alida A.
Broen, Martinus P. G.
description Purpose Reduced temporal muscle thickness (TMT) has recently been postulated as a prognostic imaging marker and an objective tool to assess patients frailty in glioblastoma. Our aim is to investigate the correlation of TMT and systemic muscle loss to confirm that TMT is an adequate surrogate marker of sarcopenia in newly diagnosed glioblastoma patients. Methods TMT was assessed on preoperative MR-images and skeletal muscle area (SMA) was assessed at the third lumbar vertebra on preoperative abdominal CT-scans. Previous published TMT sex-specific cut-off values were used to classify patients as ‘patient at risk of sarcopenia’ or ‘patient with normal muscle status’. Correlation between TMT and SMA was assessed using Spearman’s rank correlation coefficient. Results Sixteen percent of the 245 included patients were identified as at risk of sarcopenia. The mean SMA of glioblastoma patients at risk of sarcopenia (124.3 cm 2 , SD 30.8 cm 2 ) was significantly lower than the mean SMA of patients with normal muscle status (146.3 cm 2 , SD 31.1 cm 2 , P  
doi_str_mv 10.1007/s11060-022-04180-8
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H. ; Willemsen, Anna C. H. ; Pasmans, Raphael C. O. S. ; Eekers, Daniëlle B. P. ; Zegers, Catharina M. L. ; Ackermans, Linda ; Beckervordersandforth, Jan ; van Raak, Elisabeth P. M. ; Anten, Monique H. M. E. ; Hoeben, Ann ; Postma, Alida A. ; Broen, Martinus P. G.</creator><creatorcontrib>ten Cate, Cecil ; Huijs, Sandra M. H. ; Willemsen, Anna C. H. ; Pasmans, Raphael C. O. S. ; Eekers, Daniëlle B. P. ; Zegers, Catharina M. L. ; Ackermans, Linda ; Beckervordersandforth, Jan ; van Raak, Elisabeth P. M. ; Anten, Monique H. M. E. ; Hoeben, Ann ; Postma, Alida A. ; Broen, Martinus P. G.</creatorcontrib><description>Purpose Reduced temporal muscle thickness (TMT) has recently been postulated as a prognostic imaging marker and an objective tool to assess patients frailty in glioblastoma. Our aim is to investigate the correlation of TMT and systemic muscle loss to confirm that TMT is an adequate surrogate marker of sarcopenia in newly diagnosed glioblastoma patients. Methods TMT was assessed on preoperative MR-images and skeletal muscle area (SMA) was assessed at the third lumbar vertebra on preoperative abdominal CT-scans. Previous published TMT sex-specific cut-off values were used to classify patients as ‘patient at risk of sarcopenia’ or ‘patient with normal muscle status’. Correlation between TMT and SMA was assessed using Spearman’s rank correlation coefficient. Results Sixteen percent of the 245 included patients were identified as at risk of sarcopenia. The mean SMA of glioblastoma patients at risk of sarcopenia (124.3 cm 2 , SD 30.8 cm 2 ) was significantly lower than the mean SMA of patients with normal muscle status (146.3 cm 2 , SD 31.1 cm 2 , P  &lt; .001). We found a moderate association between TMT and SMA in the patients with normal muscle status (Spearman’s rho 0.521, P &lt;  .001), and a strong association in the patients at risk of sarcopenia (Spearman’s rho 0.678, P  &lt; .001). Conclusion Our results confirm the use of TMT as a surrogate marker of total body skeletal muscle mass in glioblastoma, especially in frail patients at risk of sarcopenia. TMT can be used to identify patients with muscle loss early in the disease process, which enables the implementation of adequate intervention strategies.</description><identifier>ISSN: 0167-594X</identifier><identifier>EISSN: 1573-7373</identifier><identifier>DOI: 10.1007/s11060-022-04180-8</identifier><identifier>PMID: 36394717</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Brain cancer ; Computed tomography ; Glioblastoma ; Medicine ; Medicine &amp; Public Health ; Musculoskeletal system ; Neurology ; Oncology ; Patients ; Sarcopenia ; Skeletal muscle ; Vertebrae</subject><ispartof>Journal of neuro-oncology, 2022-12, Vol.160 (3), p.611-618</ispartof><rights>The Author(s) 2022. corrected publications 2022, 2023</rights><rights>2022. The Author(s).</rights><rights>The Author(s) 2022. corrected publications 2022, 2023. This work is published 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, corrected publication 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c540t-8fd956426a137eb51697b57b50b33251a27c7536e6d340bac5b2dc4f4c77a0a03</citedby><cites>FETCH-LOGICAL-c540t-8fd956426a137eb51697b57b50b33251a27c7536e6d340bac5b2dc4f4c77a0a03</cites><orcidid>0000-0002-8834-2202</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11060-022-04180-8$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11060-022-04180-8$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>230,315,781,785,886,27926,27927,41490,42559,51321</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36394717$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>ten Cate, Cecil</creatorcontrib><creatorcontrib>Huijs, Sandra M. H.</creatorcontrib><creatorcontrib>Willemsen, Anna C. H.</creatorcontrib><creatorcontrib>Pasmans, Raphael C. O. S.</creatorcontrib><creatorcontrib>Eekers, Daniëlle B. P.</creatorcontrib><creatorcontrib>Zegers, Catharina M. L.</creatorcontrib><creatorcontrib>Ackermans, Linda</creatorcontrib><creatorcontrib>Beckervordersandforth, Jan</creatorcontrib><creatorcontrib>van Raak, Elisabeth P. M.</creatorcontrib><creatorcontrib>Anten, Monique H. M. E.</creatorcontrib><creatorcontrib>Hoeben, Ann</creatorcontrib><creatorcontrib>Postma, Alida A.</creatorcontrib><creatorcontrib>Broen, Martinus P. G.</creatorcontrib><title>Correlation of reduced temporal muscle thickness and systemic muscle loss in newly diagnosed glioblastoma patients</title><title>Journal of neuro-oncology</title><addtitle>J Neurooncol</addtitle><addtitle>J Neurooncol</addtitle><description>Purpose Reduced temporal muscle thickness (TMT) has recently been postulated as a prognostic imaging marker and an objective tool to assess patients frailty in glioblastoma. Our aim is to investigate the correlation of TMT and systemic muscle loss to confirm that TMT is an adequate surrogate marker of sarcopenia in newly diagnosed glioblastoma patients. Methods TMT was assessed on preoperative MR-images and skeletal muscle area (SMA) was assessed at the third lumbar vertebra on preoperative abdominal CT-scans. Previous published TMT sex-specific cut-off values were used to classify patients as ‘patient at risk of sarcopenia’ or ‘patient with normal muscle status’. Correlation between TMT and SMA was assessed using Spearman’s rank correlation coefficient. Results Sixteen percent of the 245 included patients were identified as at risk of sarcopenia. The mean SMA of glioblastoma patients at risk of sarcopenia (124.3 cm 2 , SD 30.8 cm 2 ) was significantly lower than the mean SMA of patients with normal muscle status (146.3 cm 2 , SD 31.1 cm 2 , P  &lt; .001). We found a moderate association between TMT and SMA in the patients with normal muscle status (Spearman’s rho 0.521, P &lt;  .001), and a strong association in the patients at risk of sarcopenia (Spearman’s rho 0.678, P  &lt; .001). Conclusion Our results confirm the use of TMT as a surrogate marker of total body skeletal muscle mass in glioblastoma, especially in frail patients at risk of sarcopenia. TMT can be used to identify patients with muscle loss early in the disease process, which enables the implementation of adequate intervention strategies.</description><subject>Brain cancer</subject><subject>Computed tomography</subject><subject>Glioblastoma</subject><subject>Medicine</subject><subject>Medicine &amp; Public Health</subject><subject>Musculoskeletal system</subject><subject>Neurology</subject><subject>Oncology</subject><subject>Patients</subject><subject>Sarcopenia</subject><subject>Skeletal muscle</subject><subject>Vertebrae</subject><issn>0167-594X</issn><issn>1573-7373</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><recordid>eNp9kUuLFDEUhYMoTjv6B1xIwI2b0ptXpWojSOMLBtwouAupVKonYyppk6qR_vfetmfGx0IIZHG-e-7jEPKUwUsGoF9VxqCFBjhvQLIOmu4e2TClRaOFFvfJBlirG9XLr2fkUa1XACC1YA_JmWhFLzXTG1K2uRQf7RJyonmixY-r8yNd_LzPxUY6r9VFT5fL4L4lXyu1aaT1UBEI7laNGYWQaPI_4oGOwe5SruiyiyEP0dYlz5busYlPS31MHkw2Vv_k5j8nX969_bz90Fx8ev9x--aicUrC0nTT2KtW8tYyof2gWNvrQeGDQQiumOXaaSVa345CwmCdGvjo5CSd1hYsiHPy-uS7X4fZjw5740JmX8Jsy8FkG8zfSgqXZpevTa9VB_3R4MWNQcnfV18XM4fqfIw2-bxWw_HMeEXBj-jzf9CrvJaE6yGlFADjoJHiJ8oVPFjx090wDMwxUnOK1GCk5lekpsOiZ3-ucVdymyEC4gRUlNLOl9-9_2P7E_gBruc</recordid><startdate>20221201</startdate><enddate>20221201</enddate><creator>ten Cate, Cecil</creator><creator>Huijs, Sandra M. 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G.</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>C6C</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>8AO</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-8834-2202</orcidid></search><sort><creationdate>20221201</creationdate><title>Correlation of reduced temporal muscle thickness and systemic muscle loss in newly diagnosed glioblastoma patients</title><author>ten Cate, Cecil ; Huijs, Sandra M. H. ; Willemsen, Anna C. H. ; Pasmans, Raphael C. O. S. ; Eekers, Daniëlle B. P. ; Zegers, Catharina M. L. ; Ackermans, Linda ; Beckervordersandforth, Jan ; van Raak, Elisabeth P. M. ; Anten, Monique H. M. E. ; Hoeben, Ann ; Postma, Alida A. ; Broen, Martinus P. G.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c540t-8fd956426a137eb51697b57b50b33251a27c7536e6d340bac5b2dc4f4c77a0a03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Brain cancer</topic><topic>Computed tomography</topic><topic>Glioblastoma</topic><topic>Medicine</topic><topic>Medicine &amp; Public Health</topic><topic>Musculoskeletal system</topic><topic>Neurology</topic><topic>Oncology</topic><topic>Patients</topic><topic>Sarcopenia</topic><topic>Skeletal muscle</topic><topic>Vertebrae</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>ten Cate, Cecil</creatorcontrib><creatorcontrib>Huijs, Sandra M. 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H.</au><au>Willemsen, Anna C. H.</au><au>Pasmans, Raphael C. O. S.</au><au>Eekers, Daniëlle B. P.</au><au>Zegers, Catharina M. L.</au><au>Ackermans, Linda</au><au>Beckervordersandforth, Jan</au><au>van Raak, Elisabeth P. M.</au><au>Anten, Monique H. M. E.</au><au>Hoeben, Ann</au><au>Postma, Alida A.</au><au>Broen, Martinus P. G.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Correlation of reduced temporal muscle thickness and systemic muscle loss in newly diagnosed glioblastoma patients</atitle><jtitle>Journal of neuro-oncology</jtitle><stitle>J Neurooncol</stitle><addtitle>J Neurooncol</addtitle><date>2022-12-01</date><risdate>2022</risdate><volume>160</volume><issue>3</issue><spage>611</spage><epage>618</epage><pages>611-618</pages><issn>0167-594X</issn><eissn>1573-7373</eissn><abstract>Purpose Reduced temporal muscle thickness (TMT) has recently been postulated as a prognostic imaging marker and an objective tool to assess patients frailty in glioblastoma. Our aim is to investigate the correlation of TMT and systemic muscle loss to confirm that TMT is an adequate surrogate marker of sarcopenia in newly diagnosed glioblastoma patients. Methods TMT was assessed on preoperative MR-images and skeletal muscle area (SMA) was assessed at the third lumbar vertebra on preoperative abdominal CT-scans. Previous published TMT sex-specific cut-off values were used to classify patients as ‘patient at risk of sarcopenia’ or ‘patient with normal muscle status’. Correlation between TMT and SMA was assessed using Spearman’s rank correlation coefficient. Results Sixteen percent of the 245 included patients were identified as at risk of sarcopenia. The mean SMA of glioblastoma patients at risk of sarcopenia (124.3 cm 2 , SD 30.8 cm 2 ) was significantly lower than the mean SMA of patients with normal muscle status (146.3 cm 2 , SD 31.1 cm 2 , P  &lt; .001). We found a moderate association between TMT and SMA in the patients with normal muscle status (Spearman’s rho 0.521, P &lt;  .001), and a strong association in the patients at risk of sarcopenia (Spearman’s rho 0.678, P  &lt; .001). Conclusion Our results confirm the use of TMT as a surrogate marker of total body skeletal muscle mass in glioblastoma, especially in frail patients at risk of sarcopenia. TMT can be used to identify patients with muscle loss early in the disease process, which enables the implementation of adequate intervention strategies.</abstract><cop>New York</cop><pub>Springer US</pub><pmid>36394717</pmid><doi>10.1007/s11060-022-04180-8</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0002-8834-2202</orcidid><oa>free_for_read</oa></addata></record>
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subjects Brain cancer
Computed tomography
Glioblastoma
Medicine
Medicine & Public Health
Musculoskeletal system
Neurology
Oncology
Patients
Sarcopenia
Skeletal muscle
Vertebrae
title Correlation of reduced temporal muscle thickness and systemic muscle loss in newly diagnosed glioblastoma patients
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