04542d79588a0a4f57d6c05db004909b 322324.pdf ae15ea4df3d7a06aa08be2288de62c48026f5c74 322324.pdf f33796382d6d2f91d7599779cdab3708ae75dd270de7fc37f017e7e5aaf04cb5 322324.pdf Title: Multiparametric Approach to the Colorectal Cancer Phenotypes Integrating Morphofunctional Assessment and Computer Tomography Subject: (1) Background: Accurate body composition assessment in CCR patients is crucial due to the high prevalence of malnutrition, sarcopenia, and cachexia affecting survival. This study evaluates the correlation between body composition assessed by CT imaging as a reference technique, BIVA, nutritional ultrasound, and handgrip strength in CCR patients. (2) Methods: This retrospective study included CCR patients assessed by the Endocrinology and Nutrition Services of Virgen de la Victoria in Malaga and Vall d’Hebron in Barcelona from October 2018 to July 2023. Assessments included anthropometry, BIVA, NU, HGS, and AI-assisted CT analysis at the L3 level for body composition. Pearson’s analysis determined the correlation of CT-derived variables with BIVA, NU, and HGS. (3) Results: A total of 267 CCR patients (mean age 68.2 10.9 years, 61.8% men) were studied. Significant gender differences were found in body composition and strength. CT-SMI showed strong correlations with body cell mass (r = 0.65), rectus femoris cross-sectional area (r = 0.56), and handgrip strength (r = 0.55), with a Cronbach’s alpha of 0.789. CT-based adipose tissue measurements showed significant correlations with fat mass (r = 0.56), BMI (r = 0.78), A-SAT (r = 0.49), and L-SAT (r = 0.66). Regression analysis indicated a high predictive power for CT-SMI, explaining approximately 80% of its variance (R2 = 0.796). (4) Conclusions: Comprehensive screening of colorectal cancer patients through BIVA, NU, HGS, and CT optimizes the results of the evaluation. These methods complement each other in assessing muscle mass, fat distribution, and nutritional status in CCR. When CT is unavailable or bedside assessment is needed, HGS, BIVA, and NU provide an accurate assessment of body composition. Keywords: CT imaging; colorectal cancer; body composition; morphofunctional assessment; cancer patients Author: Patricia Guirado-Peláez, Rocío Fernández-Jiménez, Francisco José Sánchez-Torralvo, Fernanda Mucarzel Suárez-Arana, Fiorella Ximena Palmas-Candia, Isabel Vegas-Aguilar, María del Mar Amaya-Campos, Gema Martínez Tamés, Virginia Soria-Utrilla, Francisco Tinahones-Madueño, José Manuel García-Almeida, Rosa Burgos-Peláez and Gabriel Olveira Creator: LaTeX with hyperref Producer: pdfTeX-1.40.25 CreationDate: Thu Oct 17 09:57:56 2024 CEST ModDate: Thu Oct 17 10:09:44 2024 CEST Custom Metadata: no Metadata Stream: no Tagged: no UserProperties: no Suspects: no Form: none JavaScript: no Pages: 15 Encrypted: no Page size: 595.276 x 841.89 pts (A4) Page rot: 0 File size: 1298881 bytes Optimized: no PDF version: 1.7 name type encoding emb sub uni object ID ------------------------------------ ----------------- ---------------- --- --- --- --------- IOJCNK+VnURWPalladioL-Bold Type 1 Custom yes yes yes 10 0 OYWOIM+URWPalladioL-Bold Type 1 Custom yes yes yes 16 0 ARJNXE+URWPalladioL-Roma Type 1 Custom yes yes yes 22 0 QFTDGP+URWPalladioL-Ital Type 1 Custom yes yes yes 27 0 KXDJCR+CMSY10 Type 1 Builtin yes yes yes 32 0 OGFGSW+VnURWPalladioL Type 1 Custom yes yes yes 37 0 LCJEVJ+TimesNewRomanPS-BoldItalicMT Type 1C WinAnsi yes yes no 54 0 SPXLNH+PazoMath Type 1 Builtin yes yes yes 74 0 XNSZMW+EURM10 Type 1 Builtin yes yes yes 79 0 DEGDVE+URWPalladioL-BoldItal Type 1 Custom yes yes yes 93 0 ABCDEE+Palatino Linotype,Bold TrueType WinAnsi yes yes no 115 0 ABCDEE+Palatino Linotype TrueType WinAnsi yes yes no 119 0 ABCDEE+Palatino Linotype,Italic TrueType WinAnsi yes yes no 123 0 ABCDEE+Palatino Linotype,Italic CID TrueType Identity-H yes yes yes 127 0 ABCDEE+Palatino Linotype,Bold CID TrueType Identity-H yes yes yes 134 0 ABCDEE+Palatino Linotype CID TrueType Identity-H yes yes yes 141 0 Jhove (Rel. 1.28.0, 2023-05-18) Date: 2026-01-10 04:52:32 CET RepresentationInformation: 322324.pdf ReportingModule: PDF-hul, Rel. 1.12.4 (2023-03-16) LastModified: 2026-01-09 14:55:20 CET Size: 1298881 Format: PDF Version: 1.7 Status: Well-Formed and valid SignatureMatches: PDF-hul MIMEtype: application/pdf PDFMetadata: Objects: 328 FreeObjects: 1 IncrementalUpdates: 0 DocumentCatalog: PageLayout: SinglePage PageMode: UseNone Outlines: Item: Title: Introduction Destination: section.1 Item: Title: Materials and Methods Destination: section.2 Children: Item: Title: Study Design Destination: subsection.2.1 Item: Title: Anthropometric and Morphofunctional Assessment Destination: subsection.2.2 Children: Item: Title: BIVA Destination: subsubsection.2.2.1 Item: Title: Nutritional Ultrasound Destination: subsubsection.2.2.2 Item: Title: Functional Assessment Destination: subsubsection.2.2.3 Item: Title: CT FocusedOn® Destination: subsubsection.2.2.4 Item: Title: Assessment of Sarcopenia and Low Muscle Mass Destination: subsection.2.3 Item: Title: Statistical Analyses Destination: subsection.2.4 Item: Title: Results Destination: section.3 Children: Item: Title: Body Composition Parameters and Functional Status: BIVA, NU, HGS, and CT Destination: subsection.3.1 Item: Title: Comparison with Reference Value of Sarcopenia Destination: subsection.3.2 Item: Title: Correlation Analysis between Muscle Measures: CT, BIVA, NU, and Functional Test (HGS) Destination: subsection.3.3 Item: Title: Correlation Analysis between Adipose Measures: CT, BIVA, and NU Destination: subsection.3.4 Item: Title: Regression Model Results Destination: subsection.3.5 Item: Title: Discussion Destination: section.4 Item: Title: Conclusions Destination: section.5 Item: Title: References Destination: appendix.A. Info: Title: Multiparametric Approach to the Colorectal Cancer Phenotypes Integrating Morphofunctional Assessment and Computer Tomography Author: Patricia Guirado-Peláez, Rocío Fernández-Jiménez, Francisco José Sánchez-Torralvo, Fernanda Mucarzel Suárez-Arana, Fiorella Ximena Palmas-Candia, Isabel Vegas-Aguilar, María del Mar Amaya-Campos, Gema Martínez Tamés, Virginia Soria-Utrilla, Francisco Tinahones-Madueño, José Manuel García-Almeida, Rosa Burgos-Peláez and Gabriel Olveira Subject: (1) Background: Accurate body composition assessment in CCR patients is crucial due to the high prevalence of malnutrition, sarcopenia, and cachexia affecting survival. This study evaluates the correlation between body composition assessed by CT imaging as a reference technique, BIVA, nutritional ultrasound, and handgrip strength in CCR patients. (2) Methods: This retrospective study included CCR patients assessed by the Endocrinology and Nutrition Services of Virgen de la Victoria in Malaga and Vall d’Hebron in Barcelona from October 2018 to July 2023. Assessments included anthropometry, BIVA, NU, HGS, and AI-assisted CT analysis at the L3 level for body composition. Pearson’s analysis determined the correlation of CT-derived variables with BIVA, NU, and HGS. (3) Results: A total of 267 CCR patients (mean age 68.2 10.9 years, 61.8% men) were studied. Significant gender differences were found in body composition and strength. CT-SMI showed strong correlations with body cell mass (r = 0.65), rectus femoris cross-sectional area (r = 0.56), and handgrip strength (r = 0.55), with a Cronbach’s alpha of 0.789. CT-based adipose tissue measurements showed significant correlations with fat mass (r = 0.56), BMI (r = 0.78), A-SAT (r = 0.49), and L-SAT (r = 0.66). Regression analysis indicated a high predictive power for CT-SMI, explaining approximately 80% of its variance (R2 = 0.796). (4) Conclusions: Comprehensive screening of colorectal cancer patients through BIVA, NU, HGS, and CT optimizes the results of the evaluation. These methods complement each other in assessing muscle mass, fat distribution, and nutritional status in CCR. When CT is unavailable or bedside assessment is needed, HGS, BIVA, and NU provide an accurate assessment of body composition. 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