Influence of sarcopenia, clinical data, and 2-[18F] FDG PET/CT in outcome prediction of patients with early-stage adenocarcinoma esophageal cancer
Purpose To determine the prognostic value of sarcopenia measurements done on staging 2-[18F] FDG PET/CT together with metabolic activity of the tumor in patients with adenocarcinoma esophagogastric cancer with surgical treatment. Methods Patients with early-stage, surgically treated esophageal adeno...
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| Veröffentlicht in: | European journal of nuclear medicine and molecular imaging 2022-02, Vol.49 (3), p.1012-1020 |
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| creator | Anconina, Reut Ortega, Claudia Metser, Ur Liu, Zhihui Amy Suzuki, Chihiro McInnis, Micheal Darling, Gail E. Wong, Rebecca Taylor, Kirsty Yeung, Jonathan Chen, Eric X. Swallow, Carol J. Bajwa, Jaspreet Jang, Raymond W. Elimova, Elena Veit-Haibach, Patrick |
| description | Purpose
To determine the prognostic value of sarcopenia measurements done on staging 2-[18F] FDG PET/CT together with metabolic activity of the tumor in patients with adenocarcinoma esophagogastric cancer with surgical treatment.
Methods
Patients with early-stage, surgically treated esophageal adenocarcinoma and available pre-treatment 2-[18F] FDG PET/CT were included. The standard uptake value (SUV) and SUV normalized by lean body mass (SUL) were recorded. Skeletal muscle index (SMI) was measured at the L3 level on the CT component of the PET/CT. Sarcopenia was defined as SMI |
| doi_str_mv | 10.1007/s00259-021-05514-w |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2570108894</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2570108894</sourcerecordid><originalsourceid>FETCH-LOGICAL-c424t-b03797f1e5c3e28a7f8a785d5eee358203a159346d59246741719f3440cc63133</originalsourceid><addsrcrecordid>eNp9kc1u1TAQhSMEoj_wAiyQJTYsCB3_JfYS3faWSpVgcVlVleU6k9ZVYgc70VVfgyfG7S2t1AULyx77m3PGOlX1gcJXCtAeZQAmdQ2M1iAlFfX2VbVPG6rrFpR-_XRuYa86yPkWgCqm9NtqjwuhqQCxX_05C_2wYHBIYk-yTS5OGLz9Qtzgg3d2IJ2dS2lDR1h9QdX6kqyPT8nPk83RakN8IHGZXRyRTAk772Yfw73UZGePYc5k6-cbgjYNd3We7TUS22GIrjj5EEdLMMfpptwXJ2fLHOld9aa3Q8b3j_th9Wt9sll9r89_nJ6tvp3XTjAx11fAW932FKXjyJRt-7KU7CQicqkYcEul5qLppGaiaQVtqe7Lz8G5hlPOD6vPO90pxd8L5tmMPjscBhswLtkw2QIFpbQo6KcX6G1cUijTGdYwAZw3WhWK7SiXYs4JezMlP9p0ZyiY-8TMLjFTEjMPiZltafr4KL1cjdg9tfyLqAB8B-TyFK4xPXv_R_YvceWgAA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2624033698</pqid></control><display><type>article</type><title>Influence of sarcopenia, clinical data, and 2-[18F] FDG PET/CT in outcome prediction of patients with early-stage adenocarcinoma esophageal cancer</title><source>MEDLINE</source><source>SpringerLink Journals - AutoHoldings</source><creator>Anconina, Reut ; Ortega, Claudia ; Metser, Ur ; Liu, Zhihui Amy ; Suzuki, Chihiro ; McInnis, Micheal ; Darling, Gail E. ; Wong, Rebecca ; Taylor, Kirsty ; Yeung, Jonathan ; Chen, Eric X. ; Swallow, Carol J. ; Bajwa, Jaspreet ; Jang, Raymond W. ; Elimova, Elena ; Veit-Haibach, Patrick</creator><creatorcontrib>Anconina, Reut ; Ortega, Claudia ; Metser, Ur ; Liu, Zhihui Amy ; Suzuki, Chihiro ; McInnis, Micheal ; Darling, Gail E. ; Wong, Rebecca ; Taylor, Kirsty ; Yeung, Jonathan ; Chen, Eric X. ; Swallow, Carol J. ; Bajwa, Jaspreet ; Jang, Raymond W. ; Elimova, Elena ; Veit-Haibach, Patrick</creatorcontrib><description>Purpose
To determine the prognostic value of sarcopenia measurements done on staging 2-[18F] FDG PET/CT together with metabolic activity of the tumor in patients with adenocarcinoma esophagogastric cancer with surgical treatment.
Methods
Patients with early-stage, surgically treated esophageal adenocarcinoma and available pre-treatment 2-[18F] FDG PET/CT were included. The standard uptake value (SUV) and SUV normalized by lean body mass (SUL) were recorded. Skeletal muscle index (SMI) was measured at the L3 level on the CT component of the PET/CT. Sarcopenia was defined as SMI < 34.4cm
2
/m
2
in women and < 45.4cm
2
/m
2
in men.
Results
Of the included 145 patients. 30% were sarcopenic at baseline. On the univariable Cox proportional hazards analysis, ECOG, surgical T and N staging, lymphovascular invasion (LVI) positive lymph nodes, and sarcopenia were significant prognostic factors concerning RFS and OS. On multivariable Cox regression analysis, surgical N staging (
p
= 0.025) and sarcopenia (
p
= 0.022) remained significant poor prognostic factors for OS and RFS. Combining the clinical parameters with the imaging-derived nutritional evaluation of the patient but not metabolic parameters of the tumor showed improved predictive ability for OS and RFS.
Conclusion
Combining the patients’ imaging-derived sarcopenic status with standard clinical data, but not metabolic parameters, offered an overall improved prognostic value concerning OS and RFS.</description><identifier>ISSN: 1619-7070</identifier><identifier>EISSN: 1619-7089</identifier><identifier>DOI: 10.1007/s00259-021-05514-w</identifier><identifier>PMID: 34491404</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Adenocarcinoma ; Adenocarcinoma - complications ; Adenocarcinoma - diagnostic imaging ; Body mass ; Cancer ; Cardiology ; Computed tomography ; Esophageal cancer ; Esophageal Neoplasms - complications ; Esophageal Neoplasms - diagnostic imaging ; Esophageal Neoplasms - therapy ; Esophagus ; Female ; Fluorine isotopes ; Fluorodeoxyglucose F18 - metabolism ; Humans ; Imaging ; Lean body mass ; Lymph nodes ; Male ; Medical imaging ; Medicine ; Medicine & Public Health ; Metabolism ; Muscles ; Nuclear Medicine ; Oncology ; Original Article ; Orthopedics ; Parameters ; Patients ; Positron emission tomography ; Positron Emission Tomography Computed Tomography ; Prognosis ; Radiology ; Regression analysis ; Retrospective Studies ; Sarcopenia ; Sarcopenia - complications ; Sarcopenia - diagnostic imaging ; Skeletal muscle ; Stomach Neoplasms ; Tomography, X-Ray Computed ; Tumors</subject><ispartof>European journal of nuclear medicine and molecular imaging, 2022-02, Vol.49 (3), p.1012-1020</ispartof><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021</rights><rights>2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.</rights><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c424t-b03797f1e5c3e28a7f8a785d5eee358203a159346d59246741719f3440cc63133</citedby><cites>FETCH-LOGICAL-c424t-b03797f1e5c3e28a7f8a785d5eee358203a159346d59246741719f3440cc63133</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00259-021-05514-w$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00259-021-05514-w$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34491404$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Anconina, Reut</creatorcontrib><creatorcontrib>Ortega, Claudia</creatorcontrib><creatorcontrib>Metser, Ur</creatorcontrib><creatorcontrib>Liu, Zhihui Amy</creatorcontrib><creatorcontrib>Suzuki, Chihiro</creatorcontrib><creatorcontrib>McInnis, Micheal</creatorcontrib><creatorcontrib>Darling, Gail E.</creatorcontrib><creatorcontrib>Wong, Rebecca</creatorcontrib><creatorcontrib>Taylor, Kirsty</creatorcontrib><creatorcontrib>Yeung, Jonathan</creatorcontrib><creatorcontrib>Chen, Eric X.</creatorcontrib><creatorcontrib>Swallow, Carol J.</creatorcontrib><creatorcontrib>Bajwa, Jaspreet</creatorcontrib><creatorcontrib>Jang, Raymond W.</creatorcontrib><creatorcontrib>Elimova, Elena</creatorcontrib><creatorcontrib>Veit-Haibach, Patrick</creatorcontrib><title>Influence of sarcopenia, clinical data, and 2-[18F] FDG PET/CT in outcome prediction of patients with early-stage adenocarcinoma esophageal cancer</title><title>European journal of nuclear medicine and molecular imaging</title><addtitle>Eur J Nucl Med Mol Imaging</addtitle><addtitle>Eur J Nucl Med Mol Imaging</addtitle><description>Purpose
To determine the prognostic value of sarcopenia measurements done on staging 2-[18F] FDG PET/CT together with metabolic activity of the tumor in patients with adenocarcinoma esophagogastric cancer with surgical treatment.
Methods
Patients with early-stage, surgically treated esophageal adenocarcinoma and available pre-treatment 2-[18F] FDG PET/CT were included. The standard uptake value (SUV) and SUV normalized by lean body mass (SUL) were recorded. Skeletal muscle index (SMI) was measured at the L3 level on the CT component of the PET/CT. Sarcopenia was defined as SMI < 34.4cm
2
/m
2
in women and < 45.4cm
2
/m
2
in men.
Results
Of the included 145 patients. 30% were sarcopenic at baseline. On the univariable Cox proportional hazards analysis, ECOG, surgical T and N staging, lymphovascular invasion (LVI) positive lymph nodes, and sarcopenia were significant prognostic factors concerning RFS and OS. On multivariable Cox regression analysis, surgical N staging (
p
= 0.025) and sarcopenia (
p
= 0.022) remained significant poor prognostic factors for OS and RFS. Combining the clinical parameters with the imaging-derived nutritional evaluation of the patient but not metabolic parameters of the tumor showed improved predictive ability for OS and RFS.
Conclusion
Combining the patients’ imaging-derived sarcopenic status with standard clinical data, but not metabolic parameters, offered an overall improved prognostic value concerning OS and RFS.</description><subject>Adenocarcinoma</subject><subject>Adenocarcinoma - complications</subject><subject>Adenocarcinoma - diagnostic imaging</subject><subject>Body mass</subject><subject>Cancer</subject><subject>Cardiology</subject><subject>Computed tomography</subject><subject>Esophageal cancer</subject><subject>Esophageal Neoplasms - complications</subject><subject>Esophageal Neoplasms - diagnostic imaging</subject><subject>Esophageal Neoplasms - therapy</subject><subject>Esophagus</subject><subject>Female</subject><subject>Fluorine isotopes</subject><subject>Fluorodeoxyglucose F18 - metabolism</subject><subject>Humans</subject><subject>Imaging</subject><subject>Lean body mass</subject><subject>Lymph nodes</subject><subject>Male</subject><subject>Medical imaging</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Metabolism</subject><subject>Muscles</subject><subject>Nuclear Medicine</subject><subject>Oncology</subject><subject>Original Article</subject><subject>Orthopedics</subject><subject>Parameters</subject><subject>Patients</subject><subject>Positron emission tomography</subject><subject>Positron Emission Tomography Computed Tomography</subject><subject>Prognosis</subject><subject>Radiology</subject><subject>Regression analysis</subject><subject>Retrospective Studies</subject><subject>Sarcopenia</subject><subject>Sarcopenia - complications</subject><subject>Sarcopenia - diagnostic imaging</subject><subject>Skeletal muscle</subject><subject>Stomach Neoplasms</subject><subject>Tomography, X-Ray Computed</subject><subject>Tumors</subject><issn>1619-7070</issn><issn>1619-7089</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kc1u1TAQhSMEoj_wAiyQJTYsCB3_JfYS3faWSpVgcVlVleU6k9ZVYgc70VVfgyfG7S2t1AULyx77m3PGOlX1gcJXCtAeZQAmdQ2M1iAlFfX2VbVPG6rrFpR-_XRuYa86yPkWgCqm9NtqjwuhqQCxX_05C_2wYHBIYk-yTS5OGLz9Qtzgg3d2IJ2dS2lDR1h9QdX6kqyPT8nPk83RakN8IHGZXRyRTAk772Yfw73UZGePYc5k6-cbgjYNd3We7TUS22GIrjj5EEdLMMfpptwXJ2fLHOld9aa3Q8b3j_th9Wt9sll9r89_nJ6tvp3XTjAx11fAW932FKXjyJRt-7KU7CQicqkYcEul5qLppGaiaQVtqe7Lz8G5hlPOD6vPO90pxd8L5tmMPjscBhswLtkw2QIFpbQo6KcX6G1cUijTGdYwAZw3WhWK7SiXYs4JezMlP9p0ZyiY-8TMLjFTEjMPiZltafr4KL1cjdg9tfyLqAB8B-TyFK4xPXv_R_YvceWgAA</recordid><startdate>20220201</startdate><enddate>20220201</enddate><creator>Anconina, Reut</creator><creator>Ortega, Claudia</creator><creator>Metser, Ur</creator><creator>Liu, Zhihui Amy</creator><creator>Suzuki, Chihiro</creator><creator>McInnis, Micheal</creator><creator>Darling, Gail E.</creator><creator>Wong, Rebecca</creator><creator>Taylor, Kirsty</creator><creator>Yeung, Jonathan</creator><creator>Chen, Eric X.</creator><creator>Swallow, Carol J.</creator><creator>Bajwa, Jaspreet</creator><creator>Jang, Raymond W.</creator><creator>Elimova, Elena</creator><creator>Veit-Haibach, Patrick</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>7RV</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</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>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>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope></search><sort><creationdate>20220201</creationdate><title>Influence of sarcopenia, clinical data, and 2-[18F] FDG PET/CT in outcome prediction of patients with early-stage adenocarcinoma esophageal cancer</title><author>Anconina, Reut ; Ortega, Claudia ; Metser, Ur ; Liu, Zhihui Amy ; Suzuki, Chihiro ; McInnis, Micheal ; Darling, Gail E. ; Wong, Rebecca ; Taylor, Kirsty ; Yeung, Jonathan ; Chen, Eric X. ; Swallow, Carol J. ; Bajwa, Jaspreet ; Jang, Raymond W. ; Elimova, Elena ; Veit-Haibach, Patrick</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c424t-b03797f1e5c3e28a7f8a785d5eee358203a159346d59246741719f3440cc63133</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Adenocarcinoma</topic><topic>Adenocarcinoma - complications</topic><topic>Adenocarcinoma - diagnostic imaging</topic><topic>Body mass</topic><topic>Cancer</topic><topic>Cardiology</topic><topic>Computed tomography</topic><topic>Esophageal cancer</topic><topic>Esophageal Neoplasms - complications</topic><topic>Esophageal Neoplasms - diagnostic imaging</topic><topic>Esophageal Neoplasms - therapy</topic><topic>Esophagus</topic><topic>Female</topic><topic>Fluorine isotopes</topic><topic>Fluorodeoxyglucose F18 - metabolism</topic><topic>Humans</topic><topic>Imaging</topic><topic>Lean body mass</topic><topic>Lymph nodes</topic><topic>Male</topic><topic>Medical imaging</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Metabolism</topic><topic>Muscles</topic><topic>Nuclear Medicine</topic><topic>Oncology</topic><topic>Original Article</topic><topic>Orthopedics</topic><topic>Parameters</topic><topic>Patients</topic><topic>Positron emission tomography</topic><topic>Positron Emission Tomography Computed Tomography</topic><topic>Prognosis</topic><topic>Radiology</topic><topic>Regression analysis</topic><topic>Retrospective Studies</topic><topic>Sarcopenia</topic><topic>Sarcopenia - complications</topic><topic>Sarcopenia - diagnostic imaging</topic><topic>Skeletal muscle</topic><topic>Stomach Neoplasms</topic><topic>Tomography, X-Ray Computed</topic><topic>Tumors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Anconina, Reut</creatorcontrib><creatorcontrib>Ortega, Claudia</creatorcontrib><creatorcontrib>Metser, Ur</creatorcontrib><creatorcontrib>Liu, Zhihui Amy</creatorcontrib><creatorcontrib>Suzuki, Chihiro</creatorcontrib><creatorcontrib>McInnis, Micheal</creatorcontrib><creatorcontrib>Darling, Gail E.</creatorcontrib><creatorcontrib>Wong, Rebecca</creatorcontrib><creatorcontrib>Taylor, Kirsty</creatorcontrib><creatorcontrib>Yeung, Jonathan</creatorcontrib><creatorcontrib>Chen, Eric X.</creatorcontrib><creatorcontrib>Swallow, Carol J.</creatorcontrib><creatorcontrib>Bajwa, Jaspreet</creatorcontrib><creatorcontrib>Jang, Raymond W.</creatorcontrib><creatorcontrib>Elimova, Elena</creatorcontrib><creatorcontrib>Veit-Haibach, Patrick</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>Nursing & Allied Health Database</collection><collection>Neurosciences Abstracts</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>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 Edition)</collection><collection>ProQuest Central UK/Ireland</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>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>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 journal of nuclear medicine and molecular imaging</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Anconina, Reut</au><au>Ortega, Claudia</au><au>Metser, Ur</au><au>Liu, Zhihui Amy</au><au>Suzuki, Chihiro</au><au>McInnis, Micheal</au><au>Darling, Gail E.</au><au>Wong, Rebecca</au><au>Taylor, Kirsty</au><au>Yeung, Jonathan</au><au>Chen, Eric X.</au><au>Swallow, Carol J.</au><au>Bajwa, Jaspreet</au><au>Jang, Raymond W.</au><au>Elimova, Elena</au><au>Veit-Haibach, Patrick</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Influence of sarcopenia, clinical data, and 2-[18F] FDG PET/CT in outcome prediction of patients with early-stage adenocarcinoma esophageal cancer</atitle><jtitle>European journal of nuclear medicine and molecular imaging</jtitle><stitle>Eur J Nucl Med Mol Imaging</stitle><addtitle>Eur J Nucl Med Mol Imaging</addtitle><date>2022-02-01</date><risdate>2022</risdate><volume>49</volume><issue>3</issue><spage>1012</spage><epage>1020</epage><pages>1012-1020</pages><issn>1619-7070</issn><eissn>1619-7089</eissn><abstract>Purpose
To determine the prognostic value of sarcopenia measurements done on staging 2-[18F] FDG PET/CT together with metabolic activity of the tumor in patients with adenocarcinoma esophagogastric cancer with surgical treatment.
Methods
Patients with early-stage, surgically treated esophageal adenocarcinoma and available pre-treatment 2-[18F] FDG PET/CT were included. The standard uptake value (SUV) and SUV normalized by lean body mass (SUL) were recorded. Skeletal muscle index (SMI) was measured at the L3 level on the CT component of the PET/CT. Sarcopenia was defined as SMI < 34.4cm
2
/m
2
in women and < 45.4cm
2
/m
2
in men.
Results
Of the included 145 patients. 30% were sarcopenic at baseline. On the univariable Cox proportional hazards analysis, ECOG, surgical T and N staging, lymphovascular invasion (LVI) positive lymph nodes, and sarcopenia were significant prognostic factors concerning RFS and OS. On multivariable Cox regression analysis, surgical N staging (
p
= 0.025) and sarcopenia (
p
= 0.022) remained significant poor prognostic factors for OS and RFS. Combining the clinical parameters with the imaging-derived nutritional evaluation of the patient but not metabolic parameters of the tumor showed improved predictive ability for OS and RFS.
Conclusion
Combining the patients’ imaging-derived sarcopenic status with standard clinical data, but not metabolic parameters, offered an overall improved prognostic value concerning OS and RFS.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>34491404</pmid><doi>10.1007/s00259-021-05514-w</doi><tpages>9</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1619-7070 |
| ispartof | European journal of nuclear medicine and molecular imaging, 2022-02, Vol.49 (3), p.1012-1020 |
| issn | 1619-7070 1619-7089 |
| language | eng |
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| source | MEDLINE; SpringerLink Journals - AutoHoldings |
| subjects | Adenocarcinoma Adenocarcinoma - complications Adenocarcinoma - diagnostic imaging Body mass Cancer Cardiology Computed tomography Esophageal cancer Esophageal Neoplasms - complications Esophageal Neoplasms - diagnostic imaging Esophageal Neoplasms - therapy Esophagus Female Fluorine isotopes Fluorodeoxyglucose F18 - metabolism Humans Imaging Lean body mass Lymph nodes Male Medical imaging Medicine Medicine & Public Health Metabolism Muscles Nuclear Medicine Oncology Original Article Orthopedics Parameters Patients Positron emission tomography Positron Emission Tomography Computed Tomography Prognosis Radiology Regression analysis Retrospective Studies Sarcopenia Sarcopenia - complications Sarcopenia - diagnostic imaging Skeletal muscle Stomach Neoplasms Tomography, X-Ray Computed Tumors |
| title | Influence of sarcopenia, clinical data, and 2-[18F] FDG PET/CT in outcome prediction of patients with early-stage adenocarcinoma esophageal cancer |
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