Assessment of regional adipose tissue depots: A DXA and CT comparison in cadavers of elderly persons

Scafoglieri, Aldo; Deklerck, Rudi; Tresignie, Jonathan; Mey, Johan De; Clarys, Jan Pieter; Bautmans, Ivan

doi:10.1016/j.exger.2013.07.005

Cited by 20 publications

(13 citation statements)

References 32 publications

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“…The calculated MFROI would therefore reflect repetitions of the muscle fibers or fascicles and the septa. The large value of MFROI in an elderly individual would be related to increased levels of diffused adipose tissues in the muscle fibers or fascicles; this has been confirmed using computerized tomography and magnetic resonance imaging 12,23,24. The smaller muscle fibers or fascicles consequent to age-related muscular dystrophy might increase MFROI in elderly individuals.…”

Section: Discussionmentioning

confidence: 79%

Frequency analysis of ultrasonic echo intensities of the skeletal muscle in elderly and young individuals

Nishihara¹,

Kawai²,

Hayashi³

et al. 2014

CIA

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BackgroundThe skeletal muscle echo intensity (EI) during ultrasound imaging has been investigated to evaluate the muscle quality. However, EI fluctuates according to the scanning conditions.MethodsThe motor functions and ultrasound images of 19 elderly (73±3.2 years) and 19 young (22±1.5 years) individuals were investigated and an EI frequency component was assessed for more reliable evaluations. Healthy elderly and young subjects participated in this study. The motor functions were assessed during walking and according to the knee extension muscle strength. The muscle thicknesses of rectus femoris (RF), vastus intermedius (VI), and quadriceps femoris (QF) were investigated. EIs were calculated and the mean frequencies of the regions of interest (MFROIs) for RF and VI were analyzed.ResultsEIs and MFROIs were greater in elderly subjects than in young subjects (P<0.01 for RF, and P<0.001 for VI, in EIs; and P<0.01 for RF, and P<0.05 for VI, in MFROIs). In young subjects, EI of RF was greater than that of VI; however, there was no difference between the RF and VI MFROIs in both elderly and young subjects. EIs of VI exhibited a significantly negative correlation with the QF thickness in both elderly and young subjects. RF MFROIs negatively correlated with the QF thickness and positively correlated with EI of VI in elderly subjects alone.ConclusionThese findings suggest that MFROIs of elderly individuals would have a larger value than those of young individuals; moreover, MFROIs did not fluctuate greatly with the tissue depth and scanning conditions. MFROIs might be thus useful for further investigations of muscle quality and applications for the early prevention of age-related motor functional decline.

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Section: Discussionmentioning

confidence: 79%

Frequency analysis of ultrasonic echo intensities of the skeletal muscle in elderly and young individuals

Nishihara¹,

Kawai²,

Hayashi³

et al. 2014

CIA

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“…The way to validate absolute calibration is to image whole or sectioned cadavers and then perform chemical analysis to definitively quantify composition. Accuracy validations have been performed over the years using fetal pigs and still-born infants (35, 36), adult cadavers (37), and lamb carcasses (38, 39). Overall, the agreement of DXA-measured mass with scale weight is typically within 1%.…”

Section: Challenges That Still Exists In the Fieldmentioning

confidence: 99%

Body composition by DXA

Shepherd¹,

Ng²,

Sommer³

et al. 2017

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Body composition measurements from DXA have been available since DXA technology was developed 30 years ago, but are historically underutilized. Recently, there have been rapid developments in body composition assessment including the analysis and publication of representative data for the US, official usage guidance from the International Society for Clinical Densitometry, and development of regional body composition measures with clinical utility. DXA body composition is much more than whole body percent fat. In this paper celebrating 30 years of DXA for body composition, we will review the principles of DXA soft tissue analysis, practical clinical and research applications, and what to look for in the future.

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“…This is mainly because these imaging modalities do not have the conceptual drawbacks associated with measurement via BMI and DXA since both CT and MRI resolve tissue composition at every volume element (voxel) inside the body. It has been shown that quantitatively DXA and CT measurements differ considerably and hence cannot be used interchangeably [44]. …”

Section: Discussionmentioning

confidence: 99%

Chest Fat Quantification via CT Based on Standardized Anatomy Space in Adult Lung Transplant Candidates

et al. 2017

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PurposeOverweight and underweight conditions are considered relative contraindications to lung transplantation due to their association with excess mortality. Yet, recent work suggests that body mass index (BMI) does not accurately reflect adipose tissue mass in adults with advanced lung diseases. Alternative and more accurate measures of adiposity are needed. Chest fat estimation by routine computed tomography (CT) imaging may therefore be important for identifying high-risk lung transplant candidates. In this paper, an approach to chest fat quantification and quality assessment based on a recently formulated concept of standardized anatomic space (SAS) is presented. The goal of the paper is to seek answers to several key questions related to chest fat quantity and quality assessment based on a single slice CT (whether in the chest, abdomen, or thigh) versus a volumetric CT, which have not been addressed in the literature.MethodsUnenhanced chest CT image data sets from 40 adult lung transplant candidates (age 58 ± 12 yrs and BMI 26.4 ± 4.3 kg/m2), 16 with chronic obstructive pulmonary disease (COPD), 16 with idiopathic pulmonary fibrosis (IPF), and the remainder with other conditions were analyzed together with a single slice acquired for each patient at the L5 vertebral level and mid-thigh level. The thoracic body region and the interface between subcutaneous adipose tissue (SAT) and visceral adipose tissue (VAT) in the chest were consistently defined in all patients and delineated using Live Wire tools. The SAT and VAT components of chest were then segmented guided by this interface. The SAS approach was used to identify the corresponding anatomic slices in each chest CT study, and SAT and VAT areas in each slice as well as their whole volumes were quantified. Similarly, the SAT and VAT components were segmented in the abdomen and thigh slices. Key parameters of the attenuation (Hounsfield unit (HU) distributions) were determined from each chest slice and from the whole chest volume separately for SAT and VAT components. The same parameters were also computed from the single abdominal and thigh slices. The ability of the slice at each anatomic location in the chest (and abdomen and thigh) to act as a marker of the measures derived from the whole chest volume was assessed via Pearson correlation coefficient (PCC) analysis.ResultsThe SAS approach correctly identified slice locations in different subjects in terms of vertebral levels. PCC between chest fat volume and chest slice fat area was maximal at the T8 level for SAT (0.97) and at the T7 level for VAT (0.86), and was modest between chest fat volume and abdominal slice fat area for SAT and VAT (0.73 and 0.75, respectively). However, correlation was weak for chest fat volume and thigh slice fat area for SAT and VAT (0.52 and 0.37, respectively), and for chest fat volume for SAT and VAT and BMI (0.65 and 0.28, respectively). These same single slice locations with maximal PCC were found for SAT and VAT within both COPD and IPF groups. Most of the attenuation pr...

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Assessment of regional adipose tissue depots: A DXA and CT comparison in cadavers of elderly persons

Cited by 20 publications

References 32 publications

Frequency analysis of ultrasonic echo intensities of the skeletal muscle in elderly and young individuals

Frequency analysis of ultrasonic echo intensities of the skeletal muscle in elderly and young individuals

Body composition by DXA

Chest Fat Quantification via CT Based on Standardized Anatomy Space in Adult Lung Transplant Candidates

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