2a973b02503733f84ea6081ff96e7593 pmc_11062347.pdf e50aaf5fe947645d0fa4074b3b740a1ce2d8bcb8 pmc_11062347.pdf 9144ca2fb61d64b4b5e57d558413dbbbfcd51697a5b1d5b37ebd3799843dee78 pmc_11062347.pdf Title: Body composition assessment with ultrasound muscle measurement: optimization through the use of semi-automated tools in colorectal cancer Subject: Colorectal cancer (CRC) is a disease with a high prevalence and major impact on global health. Author: Fiorella Palmas; Fernanda Mucarzel; Marta Ricart; Amador Lluch; Alba Zabalegui; Jose Melian; Raul Guerra; Aitor Rodriguez; Nuria Roson; Andreea Ciudin; Rosa Burgos Creator: Adobe InDesign 14.0 (Windows) Producer: Adobe PDF Library 15.0 CreationDate: Wed Apr 17 10:30:37 2024 CEST ModDate: Wed Apr 17 10:30:53 2024 CEST Custom Metadata: no Metadata Stream: yes Tagged: yes UserProperties: no Suspects: no Form: none JavaScript: no Pages: 11 Encrypted: no Page size: 595.276 x 841.89 pts (A4) Page rot: 0 File size: 1233928 bytes Optimized: no PDF version: 1.6 name type encoding emb sub uni object ID ------------------------------------ ----------------- ---------------- --- --- --- --------- ADDAUD+MuseoSans-500 Type 1C Custom yes yes yes 8 0 XWUIEJ+MuseoSans-300 Type 1C Custom yes yes yes 161 0 VTQWCN+MuseoSans-300Italic Type 1C WinAnsi yes yes yes 162 0 UUGQOP+MuseoSans-700 Type 1C Custom yes yes yes 160 0 SRCEMT+MinionPro-Regular Type 1C Custom yes yes yes 9 0 PKTMWZ+MinionPro-It Type 1C WinAnsi yes yes yes 129 0 NHPAUD+STIXGeneral-Regular Type 1C Custom yes yes yes 159 0 LEQOSH+MuseoSans-500Italic Type 1C WinAnsi yes yes yes 192 0 KFGIEJ+MuseoSans-700Italic Type 1C WinAnsi yes yes yes 216 0 Jhove (Rel. 1.28.0, 2023-05-18) Date: 2025-02-06 02:51:16 CET RepresentationInformation: pmc_11062347.pdf ReportingModule: PDF-hul, Rel. 1.12.4 (2023-03-16) LastModified: 2024-12-19 02:29:04 CET Size: 1233928 Format: PDF Version: 1.6 Status: Well-Formed and valid SignatureMatches: PDF-hul MIMEtype: application/pdf Profile: Tagged PDF PDFMetadata: Objects: 1637 FreeObjects: 1 IncrementalUpdates: 0 DocumentCatalog: ViewerPreferences: HideToolbar: false HideMenubar: false HideWindowUI: false FitWindow: false CenterWindow: false DisplayDocTitle: false NonFullScreenPageMode: UseNone Direction: L2R ViewArea: CropBox ViewClip: CropBox PrintArea: CropBox PageClip: CropBox PageLayout: SinglePage PageMode: UseNone Language: en-GB Outlines: Item: Title: Body composition assessment with ultrasound muscle measurement: optimization through the use of semi-automated tools in colorectal cancer Children: Item: Title: 1 Introduction Item: Title: 2 Materials and methods Children: Item: Title: 2.1 Patient selection Item: Title: 2.2 Clinical data collection Item: Title: 2.3 Rectus femoris ultrasound Item: Title: 2.4 Computed tomography analysis Item: Title: 2.5 Statistical analyses Item: Title: 3 Results Children: Item: Title: 3.1 Study population Item: Title: 3.2 Quantifying muscle mass: US vs. CT Item: Title: 3.3 US quantification of muscle mass and clinical evolution Item: Title: 4 Discussion Item: Title: 5 Conclusion Item: Title: Data availability statement Item: Title: Ethics statement Item: Title: Author contributions Item: Title: References Info: Title: Body composition assessment with ultrasound muscle measurement: optimization through the use of semi-automated tools in colorectal cancer Author: Fiorella Palmas; Fernanda Mucarzel; Marta Ricart; Amador Lluch; Alba Zabalegui; Jose Melian; Raul Guerra; Aitor Rodriguez; Nuria Roson; Andreea Ciudin; Rosa Burgos Subject: Colorectal cancer (CRC) is a disease with a high prevalence and major impact on global health. 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