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      Quantitative analysis of skeletal muscle by computed tomography imaging—State of the art

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          Abstract

          The radiological assessment of muscle properties—size, mass, density (also termed radiodensity), composition, and adipose tissue infiltration—is fundamental in muscle diseases. More recently, it also became obvious that muscle atrophy, also termed muscle wasting, is caused by or associated with many other diseases or conditions, such as inactivity, malnutrition, chronic obstructive pulmonary disorder, cancer-associated cachexia, diabetes, renal and cardiac failure, and sarcopenia and even potentially with osteoporotic hip fracture. Several techniques have been developed to quantify muscle morphology and function. This review is dedicated to quantitative computed tomography (CT) of skeletal muscle and only includes a brief comparison with magnetic resonance imaging. Strengths and limitations of CT techniques are discussed in detail, including CT scanner calibration, acquisition and reconstruction protocols, and the various quantitative parameters that can be measured with CT, starting from simple volume measures to advanced parameters describing the adipose tissue distribution within muscle. Finally, the use of CT in sarcopenia and cachexia and the relevance of muscle parameters for the assessment of osteoporotic fracture illustrate the application of CT in two emerging areas of medical interest.

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          Most cited references81

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          Epidemiology of sarcopenia among the elderly in New Mexico.

          Muscle mass decreases with age, leading to "sarcopenia," or low relative muscle mass, in elderly people. Sarcopenia is believed to be associated with metabolic, physiologic, and functional impairments and disability. Methods of estimating the prevalence of sarcopenia and its associated risks in elderly populations are lacking. Data from a population-based survey of 883 elderly Hispanic and non-Hispanic white men and women living in New Mexico (the New Mexico Elder Health Survey, 1993-1995) were analyzed to develop a method for estimating the prevalence of sarcopenia. An anthropometric equation for predicting appendicular skeletal muscle mass was developed from a random subsample (n = 199) of participants and was extended to the total sample. Sarcopenia was defined as appendicular skeletal muscle mass (kg)/height2 (m2) being less than two standard deviations below the mean of a young reference group. Prevalences increased from 13-24% in persons under 70 years of age to >50% in persons over 80 years of age, and were slightly greater in Hispanics than in non-Hispanic whites. Sarcopenia was significantly associated with self-reported physical disability in both men and women, independent of ethnicity, age, morbidity, obesity, income, and health behaviors. This study provides some of the first estimates of the extent of the public health problem posed by sarcopenia.
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            Risk factors for serious injury during falls by older persons in the community.

            Serious fall injury represents a little studied, yet common and potentially preventable, cause of morbidity and mortality among older persons. We determined the frequency of, and risk factors for, experiencing serious fall injury events among older persons in the community. A representative sample of 1103 community-living persons aged 72 years and older underwent comprehensive baseline and 1-year evaluations. During a median 31 months of follow-up, fall data were obtained using fall calendars. Injury data were obtained from telephone interviews and from surveillance of emergency room and hospital records. At least one fall was experienced by 546 (49%) participants. A total of 123 participants, representing 23% of fallers and 12% of the cohort, experienced 183 serious fall injury events. The factors independently associated with experiencing a serious injury during a fall included cognitive impairment (adjusted odds ratios 2.2; 95% confidence interval 1.5, 3.2); presence of at least two chronic conditions (2.0; 1.4, 2.9); balance and gait impairment (1.8; 1.3, 2.7); and low body mass index (1.8; 1.2, 2.5). In a separate analysis, including only subjects who fell, female gender (1.8; 1.1, 2.9) as well as most of the above factors were associated with experiencing a fall injury. Several readily identifiable factors appeared to distinguish the subgroup of older fallers at risk for suffering a serious fall injury. These factors should help guide who and what to target in prevention efforts.
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              Human body composition: advances in models and methods.

              The field of human body composition research is reaching a mature stage in its development: The three interconnected areas that define body composition research--models and their rules, methodology, and biological effects--are well-defined and are actively investigated by scientists in diverse disciplines from many different nations; and methods are available for measuring all major atomic, molecular, cellular, and tissue-system level body composition components in research, clinical, and epidemiological settings. This review summarizes main body composition research concepts, examines new component-measurement methodologies, and identifies potential areas of future research.
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                Author and article information

                Contributors
                Journal
                J Orthop Translat
                J Orthop Translat
                Journal of Orthopaedic Translation
                Chinese Speaking Orthopaedic Society
                2214-031X
                2214-0328
                28 October 2018
                October 2018
                28 October 2018
                : 15
                : 91-103
                Affiliations
                [a ]FAU, Department of Medicine 3, University Hospital, Erlangen, Germany
                [b ]Friedrich-Alexander University Erlangen-Nuremberg, Institute of Medical Physics, Erlangen, Germany
                [c ]Department of Radiology, Beijing Jishuitan Hospital, Beijing, China
                [d ]AP-HP, Department of Radiology, Hôpital Lariboisière, Assistance Publique des Hôpitaux de Paris & Université Paris Diderot, Paris, France
                Author notes
                []Corresponding author. Department of Medicine 3, University Hospital, Erlangen, Germany. klaus.engelke@ 123456imp.uni-erlangen.de
                Article
                S2214-031X(18)30113-X
                10.1016/j.jot.2018.10.004
                6260391
                30533385
                ad63bd68-5d70-4141-bc13-8360c1e5aef0
                © 2018 The Authors. Published by Elsevier (Singapore) Pte Ltd on behalf of Chinese Speaking Orthopaedic Society.

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 17 July 2018
                : 16 October 2018
                : 19 October 2018
                Categories
                Perspective

                adipose tissue,computed tomography,fat infiltration,muscle,muscle density

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