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Routinecomputertomographie zur Analyse der Körperzusammensetzung – Erfahrungen bei Intensivpatient:innen
The assessment of the nutritional status of patients in the intensive care unit is recommended in current guidelines and should include the assessment of muscle status. A suitable method is the analysis of routine computed tomography (CT) scans, which are frequently performed in critically ill patie...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Medizin
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9874172/ https://www.ncbi.nlm.nih.gov/pubmed/36692582 http://dx.doi.org/10.1007/s00063-022-00985-7 |
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author | de Heer, Geraldine Erley, Jennifer Kemper, Marius Ogica, Alexandru Weber, Theresa Molwitz, Isabel |
author_facet | de Heer, Geraldine Erley, Jennifer Kemper, Marius Ogica, Alexandru Weber, Theresa Molwitz, Isabel |
author_sort | de Heer, Geraldine |
collection | PubMed |
description | The assessment of the nutritional status of patients in the intensive care unit is recommended in current guidelines and should include the assessment of muscle status. A suitable method is the analysis of routine computed tomography (CT) scans, which are frequently performed in critically ill patients. With the help of special software, individual CT slices are processed and various parameters such as muscle area, muscle density or even the percentage of adipose tissue are displayed and quantified. It has been shown that cross-sectional acquisition of skeletal muscle in the lumbar spine correlates very well with total body muscle. There are defined, albeit population-based, cut-off values that can be used to establish diagnosis of sarcopenia. Monitoring of individualized nutritional therapy can be accomplished by assessment of repetitive CT examinations. The steadily growing body of data confirms that the method can make a valuable contribution to the assessment of body composition in intensive care medicine. Most of the currently available software requires time-consuming processing of the CT. Automated programs, which are now occasionally available and eliminate the need for most manual processing, may make the method even more attractive in the future. Ultimately, the risk of intensive transport to the CT or radiation exposure may be only justified for medical indications. Nevertheless, whenever CT is available for medical reasons, it should also be exploited for composition analysis. |
format | Online Article Text |
id | pubmed-9874172 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Medizin |
record_format | MEDLINE/PubMed |
spelling | pubmed-98741722023-01-25 Routinecomputertomographie zur Analyse der Körperzusammensetzung – Erfahrungen bei Intensivpatient:innen de Heer, Geraldine Erley, Jennifer Kemper, Marius Ogica, Alexandru Weber, Theresa Molwitz, Isabel Med Klin Intensivmed Notfmed Leitthema The assessment of the nutritional status of patients in the intensive care unit is recommended in current guidelines and should include the assessment of muscle status. A suitable method is the analysis of routine computed tomography (CT) scans, which are frequently performed in critically ill patients. With the help of special software, individual CT slices are processed and various parameters such as muscle area, muscle density or even the percentage of adipose tissue are displayed and quantified. It has been shown that cross-sectional acquisition of skeletal muscle in the lumbar spine correlates very well with total body muscle. There are defined, albeit population-based, cut-off values that can be used to establish diagnosis of sarcopenia. Monitoring of individualized nutritional therapy can be accomplished by assessment of repetitive CT examinations. The steadily growing body of data confirms that the method can make a valuable contribution to the assessment of body composition in intensive care medicine. Most of the currently available software requires time-consuming processing of the CT. Automated programs, which are now occasionally available and eliminate the need for most manual processing, may make the method even more attractive in the future. Ultimately, the risk of intensive transport to the CT or radiation exposure may be only justified for medical indications. Nevertheless, whenever CT is available for medical reasons, it should also be exploited for composition analysis. Springer Medizin 2023-01-24 2023 /pmc/articles/PMC9874172/ /pubmed/36692582 http://dx.doi.org/10.1007/s00063-022-00985-7 Text en © The Author(s), under exclusive licence to Springer Medizin Verlag GmbH, ein Teil von Springer Nature 2023 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Leitthema de Heer, Geraldine Erley, Jennifer Kemper, Marius Ogica, Alexandru Weber, Theresa Molwitz, Isabel Routinecomputertomographie zur Analyse der Körperzusammensetzung – Erfahrungen bei Intensivpatient:innen |
title | Routinecomputertomographie zur Analyse der Körperzusammensetzung – Erfahrungen bei Intensivpatient:innen |
title_full | Routinecomputertomographie zur Analyse der Körperzusammensetzung – Erfahrungen bei Intensivpatient:innen |
title_fullStr | Routinecomputertomographie zur Analyse der Körperzusammensetzung – Erfahrungen bei Intensivpatient:innen |
title_full_unstemmed | Routinecomputertomographie zur Analyse der Körperzusammensetzung – Erfahrungen bei Intensivpatient:innen |
title_short | Routinecomputertomographie zur Analyse der Körperzusammensetzung – Erfahrungen bei Intensivpatient:innen |
title_sort | routinecomputertomographie zur analyse der körperzusammensetzung – erfahrungen bei intensivpatient:innen |
topic | Leitthema |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9874172/ https://www.ncbi.nlm.nih.gov/pubmed/36692582 http://dx.doi.org/10.1007/s00063-022-00985-7 |
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