{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Sebastian-Valles F"],"funding":["Miguel Antonio Sampedro Núñez and Nuria Sánchez de la Blanca Carrero"],"pagination":["5189"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9654293"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["14(21)"],"pubmed_abstract":["<h4>Background</h4>Gastroenteropancreatic neuroendocrine tumors (GEP-NETs) are heterogeneous rare diseases causing malnutrition and cachexia in which the study of body composition may have an impact in prognosis.<h4>Aim</h4>Evaluation of muscle and fat tissues by computed tomography (CT) at the level of the third lumbar (L3 level) at diagnosis and at the end of follow-up in GET-NET patients and their relationships with clinical and biochemical variables as predictors of survival.<h4>Methodology</h4>Ninety-eight GEP-NET patients were included. Clinical and biochemical parameters were evaluated. Total body, subcutaneous, visceral and total fat areas and very low-density, low-density, normal density, high-density, very high-density and total muscle areas were obtained from CT images.<h4>Resul"],"journal":["Cancers"],"pubmed_title":["Impact of Change in Body Composition during Follow-Up on the Survival of GEP-NET."],"pmcid":["PMC9654293"],"funding_grant_id":["PEJ-2020-AI_BMD-18292"],"pubmed_authors":["Rodriguez-Laval V","Martin-Perez E","Serrano-Somavilla A","Sampedro-Nunez MA","Marazuela M","Martinez-Hernandez R","Munoz de Nova JL","Knott-Torcal C","Sanchez de la Blanca Carrero N","Sebastian-Valles F"],"additional_accession":[]},"is_claimable":false,"name":"Impact of Change in Body Composition during Follow-Up on the Survival of GEP-NET.","description":"<h4>Background</h4>Gastroenteropancreatic neuroendocrine tumors (GEP-NETs) are heterogeneous rare diseases causing malnutrition and cachexia in which the study of body composition may have an impact in prognosis.<h4>Aim</h4>Evaluation of muscle and fat tissues by computed tomography (CT) at the level of the third lumbar (L3 level) at diagnosis and at the end of follow-up in GET-NET patients and their relationships with clinical and biochemical variables as predictors of survival.<h4>Methodology</h4>Ninety-eight GEP-NET patients were included. Clinical and biochemical parameters were evaluated. Total body, subcutaneous, visceral and total fat areas and very low-density, low-density, normal density, high-density, very high-density and total muscle areas were obtained from CT images.<h4>Resul","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Oct","modification":"2025-04-25T23:30:54.086Z","creation":"2025-04-06T09:21:59.054Z"},"accession":"S-EPMC9654293","cross_references":{"pubmed":["36358607"],"doi":["10.3390/cancers14215189"]}}