{"id":{"repo_id":"rosario","oai_identifier":"oai:repository.urosario.edu.co:10336/20019"},"canonical_url":"https://search.dev.ndltd.org/etd/rosario/oai:repository.urosario.edu.co:10336/20019","repository":{"repo_id":"rosario","name":"Universidad del Rosario","base_url":"https://repository.urosario.edu.co/oai/request"},"display":{"title":"Parámetros de la masa muscular medidos por tomografía computarizada en una población sana. Fundación Cardioinfantil – Instituto de Cardiología, Bogotá, 2014-2018","abstract":"Objetivo: determinar la masa muscular por tomografía computarizada en una población sana, en la Fundación Cardioinfantil, Bogotá, 2014-2018. Materiales y métodos: estudio observacional descriptivo de una cohorte. Resultados: La mediana para la densidad de la masa muscular del músculo psoas derecho fue de 56,1 Unidades Hounsfield (UH), (56,9 UH para mujeres y 55,3 UH para hombres) e izquierdo de 55,5 UH (56,0 UH para mujeres y 54,5 UH para hombres). El área de masa muscular del psoas derecho mostró una mediana de 834,5 mm2 (684,3 mm2 para mujeres y 1189,1 mm2 para hombres), siendo mayor para el grupo etario entre los 60 a 69 años con una mediana de 963,9 mm2 y la mínima para edades hasta los 19 años con mediana de 609,7 mm2. Conclusión: Con los datos obtenidos en la población sana evaluada, se observan menores valores tanto en el área, como en la densidad, comparado con los resultados reportados en población caucásica, hallazgos esperados considerando el perfil poblacional, es por esto que con el presente estudio se quiere sentar una base para futuras investigaciones, que ayuden a establecer los parámetros de normalidad para la población latinoamericana y de esta manera tener datos representativos que sirvan como referencia para investigaciones en estados patológicos.","abstract_html":"Objetivo: determinar la masa muscular por tomografía computarizada en una población sana, en la Fundación Cardioinfantil, Bogotá, 2014-2018. Materiales y métodos: estudio observacional descriptivo de una cohorte. Resultados: La mediana para la densidad de la masa muscular del músculo psoas derecho fue de 56,1 Unidades Hounsfield (UH), (56,9 UH para mujeres y 55,3 UH para hombres) e izquierdo de 55,5 UH (56,0 UH para mujeres y 54,5 UH para hombres). El área de masa muscular del psoas derecho mostró una mediana de 834,5 mm2 (684,3 mm2 para mujeres y 1189,1 mm2 para hombres), siendo mayor para el grupo etario entre los 60 a 69 años con una mediana de 963,9 mm2 y la mínima para edades hasta los 19 años con mediana de 609,7 mm2. Conclusión: Con los datos obtenidos en la población sana evaluada, se observan menores valores tanto en el área, como en la densidad, comparado con los resultados reportados en población caucásica, hallazgos esperados considerando el perfil poblacional, es por esto que con el presente estudio se quiere sentar una base para futuras investigaciones, que ayuden a establecer los parámetros de normalidad para la población latinoamericana y de esta manera tener datos representativos que sirvan como referencia para investigaciones en estados patológicos.","abstract_has_math":false,"creators":["Villegas González, Valentina","Quintero Rodriguez, Katerine"],"institution":"Universidad del Rosario","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":["Medina Torres, Natalia"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2019,"date_issued":"2019-07-18","date_published":"2019-07-18","updated_at":"2026-07-27T20:46:46Z","subjects":["Sarcopenia","Tono muscular","Enfermedad crónica","Fisiología humana","muscle tone","chronic disease","Diagnóstico por imágenes","Enfermedades crónicas"],"languages":["spa"],"rights":["info:eu-repo/semantics/openAccess"],"rights_urls":["http://creativecommons.org/licenses/by-nc-nd/2.5/co/"],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["http://repository.urosario.edu.co/handle/10336/20019"],"render_values":[{"text":"http://repository.urosario.edu.co/handle/10336/20019","href":"http://repository.urosario.edu.co/handle/10336/20019","code":true}]}]},"links":{"outbound_url":"https://doi.org/10.48713/10336_20019","outbound_label":"DOI","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Medina Torres, Natalia"]},{"key":"dc:creator","label":"Author","values":["Villegas González, Valentina","Quintero Rodriguez, Katerine"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2019-07-18","2019-07-31T13:07:05Z"]},{"key":"dc:publisher","label":"Institution","values":["Universidad del Rosario","Facultad de Medicina","Especialización en Radiología"]},{"key":"dc:type","label":"Dc Type","values":["info:eu-repo/semantics/masterThesis","info:eu-repo/semantics/acceptedVersion"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Sarcopenia","Tono muscular","Enfermedad crónica","Fisiología humana","muscle tone","chronic disease","Diagnóstico por imágenes","Enfermedades crónicas"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["spa"]},{"key":"dc:rights","label":"Dc Rights","values":["info:eu-repo/semantics/openAccess","http://creativecommons.org/licenses/by-nc-nd/2.5/co/"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://doi.org/10.48713/10336_20019","http://repository.urosario.edu.co/handle/10336/20019"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Objetivo: determinar la masa muscular por tomografía computarizada en una población sana, en la Fundación Cardioinfantil, Bogotá, 2014-2018. Materiales y métodos: estudio observacional descriptivo de una cohorte. Resultados: La mediana para la densidad de la masa muscular del músculo psoas derecho fue de 56,1 Unidades Hounsfield (UH), (56,9 UH para mujeres y 55,3 UH para hombres) e izquierdo de 55,5 UH (56,0 UH para mujeres y 54,5 UH para hombres). El área de masa muscular del psoas derecho mostró una mediana de 834,5 mm2 (684,3 mm2 para mujeres y 1189,1 mm2 para hombres), siendo mayor para el grupo etario entre los 60 a 69 años con una mediana de 963,9 mm2 y la mínima para edades hasta los 19 años con mediana de 609,7 mm2. Conclusión: Con los datos obtenidos en la población sana evaluada, se observan menores valores tanto en el área, como en la densidad, comparado con los resultados reportados en población caucásica, hallazgos esperados considerando el perfil poblacional, es por esto que con el presente estudio se quiere sentar una base para futuras investigaciones, que ayuden a establecer los parámetros de normalidad para la población latinoamericana y de esta manera tener datos representativos que sirvan como referencia para investigaciones en estados patológicos.","Objective: to determinate the measurement of muscle mass by computed tomography in a healthy population, at Fundación Cardioinfantil, Bogotá, 2014-2018. Materials and methods: observational descriptive study of a cohort. Results: The median for the muscle mass density of the right psoas muscle was 56,1 Hounsfield Units (HU), (56,9 HU for women and 55,3 HU for men) and left psoas was 55,5 HU (56,0 HU for woman and 54,5 HU for man). The muscle mass area of the right psoas showed a median of 834,5 mm2 (684,3 mm2 for woman and 1189,1 mm2 for men), being greater for the age group between 60 to 69 years with a median of 963,9 mm2 and lower for ages up to 19 years with a median of 609,7 mm2. Conclusión: With the data obtained in the healthy population evaluated, lower values are observed both in the area and in the density, compared with the results reported in the Caucasian population, expected findings considering the population profile, that is why with the present study it wants to establish a basis for future research, which will help establish the parameters of normality for the Latin American population and in this way have representative data that serve as a reference for investigations in pathological states.","2019-07-31 13:50:02: Script de automatizacion de embargos. Se ha realizado la publicación de su documento en el Repositorio Institucional EdocUr. Usted escogió la opción \"Restringido (Temporalmente bloqueado)\", por lo que el documento ha quedado con embargo hasta el 31 de julio de 2021 en concordancia con las Políticas de Acceso Abierto de la Universidad. Si usted desea dejarlo con acceso abierto antes de finalizar dicho periodo o si por el contrario desea extender el embargo al finalizar este tiempo, puede enviar un correo a esta misma dirección realizando la solicitud. Tenga en cuenta que los documentos en acceso abierto propician una mayor visibilidad de su producción académica y científica.","2021-08-01 01:01:02: Script de automatizacion de embargos. info:eu-repo/date/embargoEnd/2021-07-31"]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:source","label":"Dc Source","values":["1. Rosenberg I. Summary comments: epidemiological and methodological problems in determining nutritional status of older persons. . Am J Clin Nutr; 1989 p. 1231–3","2. Murray TÉ, Williams D, Lee MJ. Osteoporosis, obesity, and sarcopenia on abdominal CT: a review of epidemiology, diagnostic criteria, and management strategies for the reporting radiologist. Abdominal Radiology. 2017:1-11.","3. Jentoft Ajc, Baeyens Jp, Bauer Jm, Boirie Y, Cederholm T, Landi F, et al. Sarcopenia: consenso europeo sobre su definición y diagnóstico. Informe del Grupo europeo de trabajo sobre la sarcopenia en personas de edad avanzada Oxfford University: Age and Ageing. 2010;39(4):412-23.","4. Morley JE, Anker SD, von Haehling S. Prevalence, incidence, and clinical impact of sarcopenia: facts, numbers, and epidemiology—update 2014. Journal of cachexia, sarcopenia and muscle. 2014;5(4):253-9.","5. Von Haehling S, Morley JE, Anker SD. An overview of sarcopenia: facts and numbers on prevalence and clinical impact. Journal of cachexia, sarcopenia and muscle. 2010;1(2):129-33.","6. Bischoff-Ferrari H, Orav J, Kanis J, Rizzoli R, Schlögl M, Staehelin H, et al. Comparative performance of current definitions of sarcopenia against the prospective incidence of falls among community-dwelling seniors age 65 and older. Osteoporosis International. 2015;26(12):2793-802.","7. Liu P, Hao Q, Hai S, Wang H, Cao L, Dong B. Sarcopenia as a predictor of all-cause mortality among community-dwelling older people: a systematic review and meta-analysis. Maturitas. 2017.","8. Carey EJ, Lai JC, Wang CW, Dasarathy S, Lobach I, Montano‐Loza AJ, et al. A multicenter study to define sarcopenia in patients with end‐stage liver disease. Liver Transplantation. 2017;23(5):625-33.","9. Zuckerman J, Ades M, Mullie L, Trnkus A, Morin J-F, Langlois Y, et al. Psoas Muscle Area and Length of Stay in Older Adults Undergoing Cardiac Operations. The Annals of thoracic surgery. 2017;103(5):1498-504.","10. Moorthi RN, Avin KG. Clinical relevance of sarcopenia in chronic kidney disease. Current opinion in nephrology and hypertension. 2017;26(3):219-28.","11. Zhou C-J, Zhang F-M, Zhang F-Y, Yu Z, Chen X-L, Shen X, et al. Sarcopenia: a new predictor of postoperative complications for elderly gastric cancer patients who underwent radical gastrectomy. Journal of Surgical Research. 2017;211:137-46.","12. Phillips A, Strobl R, Vogt S, Ladwig K-H, Thorand B, Grill E. Sarcopenia is associated with disability status—results from the KORA-Age study. Osteoporosis International. 2017:1-11.","13. Bucur P, Brustia R, Ciacio O, Bivol S, Soggiu F, Pittau G, et al. Definition of Sarcopenia in Cirrhotic Patients before Liver Transplantation. Liver Transplantation. 2013;19:S96-S7.","14. Cawthon PM, Fox KM, Gandra SR, Delmonico MJ, Chiou CF, Anthony MS, et al. Do muscle mass, muscle density, strength, and physical function similarly influence risk of hospitalization in older adults? Journal of the American Geriatrics Society. 2009;57(8):1411-9.","15. Lang T, Cauley JA, Tylavsky F, Bauer D, Cummings S, Harris TB. Computed tomographic measurements of thigh muscle cross‐sectional area and attenuation coefficient predict hip fracture: The health, aging, and body composition study. Journal of Bone and Mineral Research. 2010;25(3):513-9.","16. Morosano M, Menoyo I, Tomat M, Masoni A, Pezzotto S. A simple anthropometric tool for the assessment of pre-sarcopenia in postmenopausal women. Climacteric. 2017:1-6.","17. Fukushima H, Yokoyama M, Nakanishi Y, Tobisu K-i, Koga F. Sarcopenia as a prognostic biomarker of advanced urothelial carcinoma. PloS one. 2015;10(1):e0115895.","18. Schweitzer L, Geisler C, Pourhassan M, Braun W, Glüer C-C, Bosy-Westphal A, et al. Estimation of Skeletal Muscle Mass and Visceral Adipose Tissue Volume by a Single Magnetic Resonance Imaging Slice in Healthy Elderly Adults. The Journal of nutrition. 2016;146(10):2143-8.","19. Kim H, Hirano H, Edahiro A, Ohara Y, Watanabe Y, Kojima N, et al. Sarcopenia: Prevalence and associated factors based on different suggested definitions in community‐dwelling older adults. Geriatrics & gerontology international. 2016;16(S1):110-22.","20. Sinelnikov A, Qu C, Fetzer DT, Pelletier J-S, Dunn MA, Tsung A, et al. Measurement of skeletal muscle area: Comparison of CT and MR imaging. European journal of radiology. 2016;85(10):1716-21.","21. Abate N, Garg A, Coleman R, Grundy SM, Peshock RM. Prediction of total subcutaneous abdominal, intraperitoneal, and retroperitoneal adipose tissue masses in men by a single axial magnetic resonance imaging slice. The American journal of clinical nutrition. 1997;65(2):403-8.","22. Cruz-Jentoft AJ, Bahat G, Bauer J, Boirie Y, Bruyère O, Cederholm T, et al. Sarcopenia: revised European consensus on definition and diagnosis. Age and ageing. 2018;48(1):16-31.","23. Byun S-E, Kim S, Kim K-H, Ha Y-C. Psoas cross-sectional area as a predictor of mortality and a diagnostic tool for sarcopenia in hip fracture patients. Journal of bone and mineral metabolism. 2019:1-9.","24. Shoreibah MG, Mahmoud K, Aboueldahab NA, Lune PV, Massoud M, Bae S, et al. Psoas Muscle Density in Combination with Model for End-Stage Liver Disease Score Can Improve Survival Predictability in Transjugular Intrahepatic Portosystemic Shunts. Journal of Vascular and Interventional Radiology. 2019;30(2):154-61.","25. Huguet A, Latournerie M, Debry PH, Jezequel C, Legros L, Rayar M, et al. The psoas muscle transversal diameter predicts mortality in patients with cirrhosis on a waiting list for liver transplantation: a retrospective cohort study. Nutrition. 2018;51:73-9.","26. Rossi F, Valdora F, Barabino E, Calabrese M, Tagliafico AS. Muscle mass estimation on breast magnetic resonance imaging in breast cancer patients: comparison between psoas muscle area on computer tomography and pectoralis muscle area on MRI. European radiology. 2019;29(2):494-500.","27. Goodpaster BH, Kelley DE, Thaete FL, He J, Ross R. Skeletal muscle attenuation determined by computed tomography is associated with skeletal muscle lipid content. Journal of applied physiology. 2000;89(1):104-10.","28. Mourtzakis M, Prado CM, Lieffers JR, Reiman T, McCargar LJ, Baracos VE. A practical and precise approach to quantification of body composition in cancer patients using computed tomography images acquired during routine care. Applied Physiology, Nutrition, and Metabolism. 2008;33(5):997-1006.","29. Werf A, Langius J, Schueren M, Nurmohamed S, Pant K, Blauwhoff-Buskermolen S, et al. Percentiles for skeletal muscle index, area and radiation attenuation based on computed tomography imaging in a healthy Caucasian population. European journal of clinical nutrition. 2018;72(2):288.","30. Derstine BA, Holcombe SA, Ross BE, Wang NC, Su GL, Wang SC. Skeletal muscle cutoff values for sarcopenia diagnosis using T10 to L5 measurements in a healthy US population. Scientific reports. 2018;8(1):11369.","instname:Universidad del Rosario","reponame:Repositorio Institucional EdocUR"]},{"key":"dc:title","label":"Title","values":["Parámetros de la masa muscular medidos por tomografía computarizada en una población sana. Fundación Cardioinfantil – Instituto de Cardiología, Bogotá, 2014-2018"]}]}],"canonical_facts":{"dc:contributor":["Medina Torres, Natalia"],"dc:creator":["Villegas González, Valentina","Quintero Rodriguez, Katerine"],"dc:date":["2019-07-18","2019-07-31T13:07:05Z"],"dc:description":["Objetivo: determinar la masa muscular por tomografía computarizada en una población sana, en la Fundación Cardioinfantil, Bogotá, 2014-2018. Materiales y métodos: estudio observacional descriptivo de una cohorte. Resultados: La mediana para la densidad de la masa muscular del músculo psoas derecho fue de 56,1 Unidades Hounsfield (UH), (56,9 UH para mujeres y 55,3 UH para hombres) e izquierdo de 55,5 UH (56,0 UH para mujeres y 54,5 UH para hombres). El área de masa muscular del psoas derecho mostró una mediana de 834,5 mm2 (684,3 mm2 para mujeres y 1189,1 mm2 para hombres), siendo mayor para el grupo etario entre los 60 a 69 años con una mediana de 963,9 mm2 y la mínima para edades hasta los 19 años con mediana de 609,7 mm2. Conclusión: Con los datos obtenidos en la población sana evaluada, se observan menores valores tanto en el área, como en la densidad, comparado con los resultados reportados en población caucásica, hallazgos esperados considerando el perfil poblacional, es por esto que con el presente estudio se quiere sentar una base para futuras investigaciones, que ayuden a establecer los parámetros de normalidad para la población latinoamericana y de esta manera tener datos representativos que sirvan como referencia para investigaciones en estados patológicos.","Objective: to determinate the measurement of muscle mass by computed tomography in a healthy population, at Fundación Cardioinfantil, Bogotá, 2014-2018. Materials and methods: observational descriptive study of a cohort. Results: The median for the muscle mass density of the right psoas muscle was 56,1 Hounsfield Units (HU), (56,9 HU for women and 55,3 HU for men) and left psoas was 55,5 HU (56,0 HU for woman and 54,5 HU for man). The muscle mass area of the right psoas showed a median of 834,5 mm2 (684,3 mm2 for woman and 1189,1 mm2 for men), being greater for the age group between 60 to 69 years with a median of 963,9 mm2 and lower for ages up to 19 years with a median of 609,7 mm2. Conclusión: With the data obtained in the healthy population evaluated, lower values are observed both in the area and in the density, compared with the results reported in the Caucasian population, expected findings considering the population profile, that is why with the present study it wants to establish a basis for future research, which will help establish the parameters of normality for the Latin American population and in this way have representative data that serve as a reference for investigations in pathological states.","2019-07-31 13:50:02: Script de automatizacion de embargos. Se ha realizado la publicación de su documento en el Repositorio Institucional EdocUr. Usted escogió la opción \"Restringido (Temporalmente bloqueado)\", por lo que el documento ha quedado con embargo hasta el 31 de julio de 2021 en concordancia con las Políticas de Acceso Abierto de la Universidad. Si usted desea dejarlo con acceso abierto antes de finalizar dicho periodo o si por el contrario desea extender el embargo al finalizar este tiempo, puede enviar un correo a esta misma dirección realizando la solicitud. Tenga en cuenta que los documentos en acceso abierto propician una mayor visibilidad de su producción académica y científica.","2021-08-01 01:01:02: Script de automatizacion de embargos. info:eu-repo/date/embargoEnd/2021-07-31"],"dc:format":["application/pdf"],"dc:identifier":["https://doi.org/10.48713/10336_20019","http://repository.urosario.edu.co/handle/10336/20019"],"dc:language":["spa"],"dc:publisher":["Universidad del Rosario","Facultad de Medicina","Especialización en Radiología"],"dc:rights":["info:eu-repo/semantics/openAccess","http://creativecommons.org/licenses/by-nc-nd/2.5/co/"],"dc:source":["1. Rosenberg I. Summary comments: epidemiological and methodological problems in determining nutritional status of older persons. . Am J Clin Nutr; 1989 p. 1231–3","2. Murray TÉ, Williams D, Lee MJ. Osteoporosis, obesity, and sarcopenia on abdominal CT: a review of epidemiology, diagnostic criteria, and management strategies for the reporting radiologist. Abdominal Radiology. 2017:1-11.","3. Jentoft Ajc, Baeyens Jp, Bauer Jm, Boirie Y, Cederholm T, Landi F, et al. Sarcopenia: consenso europeo sobre su definición y diagnóstico. Informe del Grupo europeo de trabajo sobre la sarcopenia en personas de edad avanzada Oxfford University: Age and Ageing. 2010;39(4):412-23.","4. Morley JE, Anker SD, von Haehling S. Prevalence, incidence, and clinical impact of sarcopenia: facts, numbers, and epidemiology—update 2014. Journal of cachexia, sarcopenia and muscle. 2014;5(4):253-9.","5. Von Haehling S, Morley JE, Anker SD. An overview of sarcopenia: facts and numbers on prevalence and clinical impact. Journal of cachexia, sarcopenia and muscle. 2010;1(2):129-33.","6. Bischoff-Ferrari H, Orav J, Kanis J, Rizzoli R, Schlögl M, Staehelin H, et al. Comparative performance of current definitions of sarcopenia against the prospective incidence of falls among community-dwelling seniors age 65 and older. Osteoporosis International. 2015;26(12):2793-802.","7. Liu P, Hao Q, Hai S, Wang H, Cao L, Dong B. Sarcopenia as a predictor of all-cause mortality among community-dwelling older people: a systematic review and meta-analysis. Maturitas. 2017.","8. Carey EJ, Lai JC, Wang CW, Dasarathy S, Lobach I, Montano‐Loza AJ, et al. A multicenter study to define sarcopenia in patients with end‐stage liver disease. Liver Transplantation. 2017;23(5):625-33.","9. Zuckerman J, Ades M, Mullie L, Trnkus A, Morin J-F, Langlois Y, et al. Psoas Muscle Area and Length of Stay in Older Adults Undergoing Cardiac Operations. The Annals of thoracic surgery. 2017;103(5):1498-504.","10. Moorthi RN, Avin KG. Clinical relevance of sarcopenia in chronic kidney disease. Current opinion in nephrology and hypertension. 2017;26(3):219-28.","11. Zhou C-J, Zhang F-M, Zhang F-Y, Yu Z, Chen X-L, Shen X, et al. Sarcopenia: a new predictor of postoperative complications for elderly gastric cancer patients who underwent radical gastrectomy. Journal of Surgical Research. 2017;211:137-46.","12. Phillips A, Strobl R, Vogt S, Ladwig K-H, Thorand B, Grill E. Sarcopenia is associated with disability status—results from the KORA-Age study. Osteoporosis International. 2017:1-11.","13. Bucur P, Brustia R, Ciacio O, Bivol S, Soggiu F, Pittau G, et al. Definition of Sarcopenia in Cirrhotic Patients before Liver Transplantation. Liver Transplantation. 2013;19:S96-S7.","14. Cawthon PM, Fox KM, Gandra SR, Delmonico MJ, Chiou CF, Anthony MS, et al. Do muscle mass, muscle density, strength, and physical function similarly influence risk of hospitalization in older adults? Journal of the American Geriatrics Society. 2009;57(8):1411-9.","15. Lang T, Cauley JA, Tylavsky F, Bauer D, Cummings S, Harris TB. Computed tomographic measurements of thigh muscle cross‐sectional area and attenuation coefficient predict hip fracture: The health, aging, and body composition study. Journal of Bone and Mineral Research. 2010;25(3):513-9.","16. Morosano M, Menoyo I, Tomat M, Masoni A, Pezzotto S. A simple anthropometric tool for the assessment of pre-sarcopenia in postmenopausal women. Climacteric. 2017:1-6.","17. Fukushima H, Yokoyama M, Nakanishi Y, Tobisu K-i, Koga F. Sarcopenia as a prognostic biomarker of advanced urothelial carcinoma. PloS one. 2015;10(1):e0115895.","18. Schweitzer L, Geisler C, Pourhassan M, Braun W, Glüer C-C, Bosy-Westphal A, et al. Estimation of Skeletal Muscle Mass and Visceral Adipose Tissue Volume by a Single Magnetic Resonance Imaging Slice in Healthy Elderly Adults. The Journal of nutrition. 2016;146(10):2143-8.","19. Kim H, Hirano H, Edahiro A, Ohara Y, Watanabe Y, Kojima N, et al. Sarcopenia: Prevalence and associated factors based on different suggested definitions in community‐dwelling older adults. Geriatrics & gerontology international. 2016;16(S1):110-22.","20. Sinelnikov A, Qu C, Fetzer DT, Pelletier J-S, Dunn MA, Tsung A, et al. Measurement of skeletal muscle area: Comparison of CT and MR imaging. European journal of radiology. 2016;85(10):1716-21.","21. Abate N, Garg A, Coleman R, Grundy SM, Peshock RM. Prediction of total subcutaneous abdominal, intraperitoneal, and retroperitoneal adipose tissue masses in men by a single axial magnetic resonance imaging slice. The American journal of clinical nutrition. 1997;65(2):403-8.","22. Cruz-Jentoft AJ, Bahat G, Bauer J, Boirie Y, Bruyère O, Cederholm T, et al. Sarcopenia: revised European consensus on definition and diagnosis. Age and ageing. 2018;48(1):16-31.","23. Byun S-E, Kim S, Kim K-H, Ha Y-C. Psoas cross-sectional area as a predictor of mortality and a diagnostic tool for sarcopenia in hip fracture patients. Journal of bone and mineral metabolism. 2019:1-9.","24. Shoreibah MG, Mahmoud K, Aboueldahab NA, Lune PV, Massoud M, Bae S, et al. Psoas Muscle Density in Combination with Model for End-Stage Liver Disease Score Can Improve Survival Predictability in Transjugular Intrahepatic Portosystemic Shunts. Journal of Vascular and Interventional Radiology. 2019;30(2):154-61.","25. Huguet A, Latournerie M, Debry PH, Jezequel C, Legros L, Rayar M, et al. The psoas muscle transversal diameter predicts mortality in patients with cirrhosis on a waiting list for liver transplantation: a retrospective cohort study. Nutrition. 2018;51:73-9.","26. Rossi F, Valdora F, Barabino E, Calabrese M, Tagliafico AS. Muscle mass estimation on breast magnetic resonance imaging in breast cancer patients: comparison between psoas muscle area on computer tomography and pectoralis muscle area on MRI. European radiology. 2019;29(2):494-500.","27. Goodpaster BH, Kelley DE, Thaete FL, He J, Ross R. Skeletal muscle attenuation determined by computed tomography is associated with skeletal muscle lipid content. Journal of applied physiology. 2000;89(1):104-10.","28. Mourtzakis M, Prado CM, Lieffers JR, Reiman T, McCargar LJ, Baracos VE. A practical and precise approach to quantification of body composition in cancer patients using computed tomography images acquired during routine care. Applied Physiology, Nutrition, and Metabolism. 2008;33(5):997-1006.","29. Werf A, Langius J, Schueren M, Nurmohamed S, Pant K, Blauwhoff-Buskermolen S, et al. Percentiles for skeletal muscle index, area and radiation attenuation based on computed tomography imaging in a healthy Caucasian population. European journal of clinical nutrition. 2018;72(2):288.","30. Derstine BA, Holcombe SA, Ross BE, Wang NC, Su GL, Wang SC. Skeletal muscle cutoff values for sarcopenia diagnosis using T10 to L5 measurements in a healthy US population. Scientific reports. 2018;8(1):11369.","instname:Universidad del Rosario","reponame:Repositorio Institucional EdocUR"],"dc:subject":["Sarcopenia","Tono muscular","Enfermedad crónica","Fisiología humana","muscle tone","chronic disease","Diagnóstico por imágenes","Enfermedades crónicas"],"dc:title":["Parámetros de la masa muscular medidos por tomografía computarizada en una población sana. Fundación Cardioinfantil – Instituto de Cardiología, Bogotá, 2014-2018"],"dc:type":["info:eu-repo/semantics/masterThesis","info:eu-repo/semantics/acceptedVersion"]},"updated_at":"2026-07-27T20:46:46Z"}