Estimates of the precision of regional and whole body composition by dual-energy x-ray absorptiometry in persons with chronic spinal cord injury

Abstract

Study Design

Longitudinal design

Objectives

To determine the reproducibility of total- and regional-body composition assessments from a total-body scan using dual-energy x-ray absorptiometry (DXA) in persons with spinal cord injury (SCI).

Methods

Twenty-four individuals with SCI completed within-day short-term precision testing by repositioning study participants between scans. An additional and separate cohort of 22 individuals with SCI were scanned twice on a GE-Lunar DXA scanner separated by a 4-week interval to assess the long-term precision assessment. The root mean square coefficient of variation percent (RMS-CV%) values for the regional and total body composition was calculated.

Results

For the same day, short-term precision assessment, the RMS-CV% for each region did not exceed 5.6%, 2.7%, 3.8%, 6.5%, 5.8% and 2.3% for arms, legs, trunk, android and gynoid regions and total body mass, respectively. In the long-term precision assessment, the RMS-CV% for each region did not exceed 6.0%, 3.0%, 4.4%, 8.2%, 3.4% and 2.0% for arms, legs, trunk, android, gynoid and total body mass. Moreover, the interclass-correlation coefficient in the long-term precision group demonstrated excellent linear agreement between repeat scans for all regions (r> 0.97).

Conclusion

The precision error of the total body composition variables in our SCI cohort was similar to those reported in the literature for nondisabled individuals, and the precision errors of the regional body composition compartments were notably higher, but similar to the regional precision errors reported in the general population.

Introduction

Spinal cord injury (SCI) results in extreme physical inactivity with a decrease in skeletal muscle mass, primarily below the level of lesion, that results in a decreased resting energy expenditure and increased total body and visceral adiposity.^1–7 In a monozygotic twin study, individuals with SCI have lower lean mass compared to their non-SCI cotwin. The authors concluded that on average adults with SCI may lose up to 4 kg of lean mass for every decade after injury and accompanying immobilization.⁷ As a result of these adverse body composition changes, persons with chronic SCI may be at greater risk for obesity, abnormal carbohydrate metabolism, and cardiovascular disease.^2–5 Assessment of body composition has gained considerable attention because of its relationship to dietary habits, exercise interventions, and metabolic profiles.^3–5 Dual-energy X-ray absorptiometry (DXA) has been used in both clinical and research settings for more than three decades to evaluate different body composition compartments. Briefly, DXA utilizes an X-ray source to emit two distinct photoelectric peaks to obtain the attenuation coefficient of fat mass (FM), lean mass (LM), and bone mineral content (BMC).

In exercise intervention trials following 12 weeks of electrically-evoked resistance training, persons with SCI gained between 0.8–1.6 kg of LM by DXA measurement.^{5, 8} The increase in LM is vital to cardio-metabolic health after SCI^{3, 5} and, therefore, providing a tool with sufficiently high precision of measurement for soft tissue body composition is essential. In a study of 17 persons with chronic SCI, Astorino et al.⁹ used total body DXA to measure changes in fat mass (FM), fat free mass (FFM), and body weight immediately before and after 6 months of high volume (> 6 hours per week) activity based therapy consisting of dynamic resistance training, FES, body weight supported treadmill training, combined with load bearing training. The authors found large variability in individual changes with some participants showing increase, maintenance, or decrease in FFM, with the total group showing a significant increase in total body FFM and nonsignificant changes in all other variables.⁹ In another study by Bakkum et al.¹⁰, a multicenter randomized control trial was performed that compared 16-weeks of twice a week hand cycling to the equivalent quantity of hybrid cycling (lower body FES and upper body cycling) on visceral adiposity in persons with chronic SCI. The authors found a 3.6% and 4.7% reduction in trunk and android fat, respectively. While it is appreciated that the authors in the former study performed an inter-day precision assessment to obtain the coefficient of variation, knowledge of both the short and long-term precision error would have allowed investigators to optimally power the study based on the approximate effect size for different body composition variables and the precision error of the total body and regional areas. Despite the commonly reported precision error by DXA manufacturers, individual technologists who acquire DXA measurements have observed variable precision assessments dependent upon the population. For example, in a multicenter trial, the data from one of seven study sites were removed because the precision error of the site was significantly greater than the other six study sites.¹¹ If the precision error of a densitometer measurement is not sufficiently small, then detection of soft tissue body composition changes, such as those after rehabilitation interventions in longitudinal clinical trials, may not be reliably determined. Several recent reports have identified the precision error of total body and regional body composition parameters from a total body DXA scan in the AB population.^{12, 13} In a study by Lohman et al.¹⁴, the authors documented the “on and off” the table reproducibility of total body DXA in measuring LM, FM, BMC. Utilizing Pearson correlation coefficients to quantify reliability, the authors found excellent correlations between repeat scans for total body BMC (r = 0.99), LM (r = 0.99), and FM (r = 1.00), and bone mineral density (BMD) (r = 0.98), with regional reliability measurements that were considerably less precise than the total body measurements. Many short-term precision studies have utilized simple “repositioning” of the total body, torso, legs and arms as a surrogate for an altered position from remounting the table. However, the majority of precision studies have utilized an “on and off” the table approach, a method by which the SCI participant dismounts the table between scans that more accurately captures the variability inherent performing repeat scans in practice. In the first treatment-control testosterone replacement pilot study in persons with SCI, Bauman et al.¹⁵ reported precision errors of 1.2% for LM and 2.2% for FM in 30 SCI participants using the “on-and-off the table” method, as recommended by the International Society for Clinical Densitometry.

The purpose of the current study was to evaluate the reproducibility of total and regional DXA-derived body composition values to obtain the precision error of two total body DXA scans performed on the same day using the “on-and-off” table method (short-term precision) and of two total body DXA scans performed on separate days within a 4-week period (long-term precision). The primary hypothesis was that the CV of regional and total body composition measurement variables will be comparable to what has been previously reported in the literature for able-bodied individuals.

Methods

Study Participants

Short-term precision assessment

Twenty-four men were recruited from the James J. Peters VA Medical Center (JJPVAMC), Bronx, NY (n=18, clinicaltrials.gov NCT00886145) and the Richmond VA Medical Center (RVAMC), Richmond, VA (n=6, clinicaltrials.gov NCT01652040) to participate in the short-term precision study. The complete demographic characteristics for the group with short-term precision have been provided (Table 1). Because persons with SCI are extremely difficult to remove from and place back on the scanning table, two investigators who were blinded to the study’s intent positioned the participants before each scan was acquired. After the participant was correctly positioned the scan was repeated.

Table 1.

Characteristics of the short-term and long-term groups with spinal cord injury

Groups	Age (years)	Weight (kg)	Height (m)	BMI (kg/m2)	TSI (years)	NLI	ISNCSCI
Short-term/same day precision group (n=24)	38.5±10	82±16.5	1.8±0.07	28±2.4	9±9.5	C4-T11	A–D
range	19–57	53–114	1.62–1.91	16–33	1.5–31	− 16 Tetra	10 AIS A
							8 AIS B
						− 8 Para	3 AIC C
							3 AIS D
Long-term Precision/reproducibility group (n=22)	36±10	79.5±12.4	1.8±0.067	25±4	8±8	C5-T11	A–B
range	18–49	60–106.5	1.64–1.89	18–30.5	1.3–28	− 9 Tetra	16 AIS A
						−13 Para	6 AIS B

Data presented as group mean ± SD.

Abbreviations: kg= kilograms; m= meters; BMI= body mass index; TSI = time since injury; NLI= neurological level of injury; ISNCSCI = International Standards for Neurological Classification of Spinal Cord Injury.

Long-term precision

A separate group of twenty-two men (ages 18–50 years) were recruited from the RVAMC for participation in this study as part of enrollment in an ongoing clinical trial [clinicaltrials.gov NCT01652040].¹⁶ All had motor-complete SCI with levels of injury from cervical level-5 to lumbar level-2 and were classified as A or B by the ISNCSCI; the complete demographic characteristics for the group with long-term precision have been provided (Table 1). Participants were recruited by word of mouth and posted flyers or from the associated SCI clinics at the participating institution. All aspects related to the study design and methodology were reviewed and approved by the institutional review boards at the participating sites. The study was approved by the local ethics committee board and conducted according to the Declaration of Helsinki and after meeting inclusion criteria, participants were provided verbal and written consent. Persons were excluded with the following medical comorbidities: cardiovascular disease, uncontrolled type II diabetes and those on insulin, decubitus pressure sores (stage 2 or greater) and current urinary tract infections or symptoms.

Dual Energy X-ray Absorptiometry (DXA)

The total body and regional composition for fat free mass (FFM), FM, %FM, LM and BMC body composition compartments for the total body, trunk, legs, arms, android, and gynoid regions were measured by DXA.^{2, 4, 6–8, 14} Body composition was measured by whole body scans using a GE Lunar Prodigy Advance scanner (GE Lunar Inc., Madison, WI, USA). Transfer to the DXA scanner was performed using either a ceiling lift or self-transfer with or without sliding boards. Participants were asked to take off any metal, void their bladder, and dress in light clothes prior to transfer to the DXA table. Using the NHANES scanning method,¹² both knees were strapped together using a large velcro strap above the knee joints and every effort was made to ensure that each leg is placed in neutral position with the big toe facing upward toward the celling. A lead research investigator checked that the whole-body posture was aligned straight with no rotation in the pelvis or shifting of the trunk to one side. Because of the difficulty in keeping the arms close to the body in large individuals or in cervical SCI, arms were strapped close to the body in mid-prone position to ensure the total body was within the scanning field to ensure consistency among all the participants. The standard mode scan was used with a radiation dose of 0.4 µGy in all but two participants who had body weights greater than 100 kg that required a higher radiation dose (0.8 µGy) to acquire the image. All scans were performed and analyzed by a trained DXA operator using Lunar software version 10.5. The total body cuts were placed by the computer auto analysis program delineating anatomical regions of interest with final adjustments made manually by the technician to ensure optimum inter-participant reproducibility. As part of daily quality assurance program, the DXA scanner was calibrated using the quality control phantom (L: 197.7, W: 60.1) according to the manufacturer guidelines for both short-and long-term precision studies (S1).

After transferring to the DXA table, the wheelchair was weighed without the participant. The weight of the wheelchair was then subtracted from the weight of the wheelchair and the participant to measure their absolute total body weight. Height was measured in a supine lying position on the left side of the body and every effort was considered to place the knee joint into full extension and the foot into a neutral position by using a sliding board to maintain an upright position of the foot. The BMI was calculated as the body mass/ height² (kg/m²).

Statistical analysis

For estimation of the short term (n=24) and long term (n=22) precision error, the RMS-SD and the root mean square coefficient of variation percent (RMS-CV%) statistics were used according to the ISCD guidelines using the following calculations. For both precision error assessments, the root mean square (RMS) average of each participant’s variance (i.e. standard deviation squared [SD²]) was obtained from the repeated measures. Therefore, the first step in calculating the short-term precision is to calculate the variance for each participant given by the following equation^{17, 18}:

$${{\mathit{\text{SD}}}_j}^2={\sum }_{i=1}^{n_j}\frac{{(x_{\mathit{\text{ij}}}-{\overline{x}}_j)}^2}{n_j-1}$$

Where n_j is the number of measurements performed on one subject (note that n_j should be the same for all subjects). x_ij is the ith result from the specific site obtained from the machine for subject j. x̄_j is the average of the repeated measures for subject j. This can be expressed as a coefficient of variation (CV) of repeated measures which is given as a percent:

$${\mathit{\text{CV}}}_{{\mathit{\text{SD}}}_j}=\frac{{\mathit{\text{SD}}}_j}{\overline{x_J}}\ast 100$$

These short-term precision values are then used to find the short-term precision for the device using the following equation:

$$\mathit{\text{SD}}=\sqrt{{\sum }_{j=1}^{m_j}\frac{{\mathit{\text{SD}}}_j^2}{m_j}}$$

Where m_j are the number of subjects used in the precision assessment and ${\mathit{\text{SD}}}_j^2$ is the variance obtained from equation 1. When expressed as a percentage, the following equation will be used:

$${\mathit{\text{CV}}}_{\mathit{\text{SD}}}=\sqrt{{\sum }_{j=1}^{m_j}\frac{{\mathit{\text{CV}}}_j^2}{m_j}}$$

For long-term precision study, interclass-correlation coefficient (ICC) analyses were also performed to identify associations of the regional and total body compositions between scan 1 and scan 2 in the long-term precision group. Statistical significance was accepted at P<0.05. All values are presented as the mean ± standard deviation. Statistical analyses were performed using SPSS, version 23.

Results

The physical and SCI characteristic of both studies are presented (Table 1). In the reproducibility trial over 4-week period, height, weight, and BMI were not significantly different between the first and second scans.

Phantom quality assurance block

The quality control assurance of the phantom box that was scanned 22 times (44 times in total for scans 1 and 2). The RMS-CV% of the %FM, BMD, BMC and area were 0.026%, 0.04%, 0,024%, 0.065%, respectively, between the first and second scans (S1).

Short-term precision [2 repeat total body scans on the same day]

The short-term precision mean values for the same day (“on-off table”) assessment for regional and total body %FM, FM, LM and BMC are presented (Table 2). The paired analysis indicated there were no statistical differences between scan 1 and scan 2. The RMS-CV% for each region did not exceed 5.6%, 2.7%, 3.8%, 6.5%, 5.8% and 2.3% for arms, legs, trunk, android, gynoid and total body between repeated scans (Table 4).

Table 2.

Regional and total body %FM, FM, LM and BMC following two consecutive scans using the “on-off table” method in the same day in 24 persons with SCI

Region	Body Composition Variable	Scan 1	Scan 2	P-value
Arms	Region %FM	24.6±11.7	24±10.4	0.22
	Fat (kg)	2.5±1.3	2.4±1.2	0.28
	Lean (kg)	6.97±1.75	6.65±2.1	0.28
	BMC (kg)	0.47±0.09	0.46±0.08	0.22
	Total (kg)	9.95±2.2	9.8±2.12	0.28
Legs	Region %FM	34±10	34±10	0.51
	Fat (kg)	8.8±3.8	8.4±4.2	0.26
	Lean (kg)	15.3±3	15.3±3.4	0.99
	BMC (kg)	0.97±0.24	0.96±0.24	0.23
	Total (kg)	25±5.7	25±6.2	0.71
Trunk	Region %FM	36±12	36±11.7	0.21
	Fat (kg)	15.76±7.7	16±7.8	0.14
	Lean (kg)	25±3.8	25±3.7	0.90
	BMC (kg)	1.07±0.25	1.06±0.25	0.50
	Total (kg)	41.8±9.7	42±9.7	0.40
Android	Region %FM	39.5±12.5	40±13	0.13
	Fat (kg)	2.8±1.6	2.9±1.6	0.06
	Lean (kg)	3.8±0.7	3.8±0.7	0.80
	BMC (kg)	0.07±0.018	0.07±0.018	0.32
	Total (kg)	6.8±2	6.4±2.4	0.40
Gynoid	Region %FM	38±10	38±10	0.60
	Fat (kg)	4.5±1.7	4.5±1.8	0.70
	Lean (kg)	6.77±1.3	6.73±1.5	0.60
	BMC (kg)	0.27±0.07	0.27±0.08	0.90
	Total (kg)	11.6±2.6	11.5±2.8	0.60
TB	Region %FM	32.8±10.6	33±10.3	0.60
	Fat (kg)	27.7±13	28±12.4	0.20
	Lean (kg)	49±12	51±7.3	0.32
	BMC (kg)	3.1±0.6	3.1±0.6	1.00
	Total (kg)	82±16	82±16	0.40

Data presented as mean ± SD.

Abbreviations: %FM= percent fat mass; FM= fat mass; LM= lean mass; BMC= bone mineral content;

Table 4.

Short and Long term precision of regional and total body %FM, FM, LM and BMC following repeated DXA scans in persons with SCI.

		Short-Term Precision Error			Long-Term Precision Error
Body Composition Variable	Regions	RMS-SD	RMS-CV%	Regions	RMS-SD	RMS-CV%
%FM	Arms n=23)	1.02	4.8	Arms (n=21)	0.88	4.4
Fat		0.14	5.6		0.13	6.0
Lean		0.20	3.3		0.28	4.6
BMC		0.011	2.4		0.012	2.7
Total Mass		0.43	4.5		0.38	4.1
%FM	Legs (n=23)	0.52	1.7	Legs (n=21)	0.74	2.4
Fat		0.50	2.6		0.20	2.6
Lean		0.40	2.7		0.44	3.0
BMC		0.94	1.0		0.01	1.3
Total Mass		0.53	2.3		0.53	2.3
%FM	Trunk (n=23)	0.83	3.2	Trunk (n=22)	0.77	2.8
Fat		0.50	3.8		0.4	3.0
Lean		0.48	1.9		0.6	2.7
BMC		0.034	3.1		0.044	4.4
Total Mass		0.6	1.5		0.78	2.0
%FM	Android (n=23)	0.97	2.4	Android (n=21)	1.37	4.6
Fat		0.135	4.2		0.156	6.7
Lean		0.10	2.4		0.134	3.6
BMC		0.0045	6.5		0.005	8.2
Total Mass		0.28	3.5		0.3	4.3
%FM	Gynoid (n=23)	1.24	3.8	Gynoid (n=21)	0.93	2.5
Fat		0.10	2.8		0.127	3.3
Lean		0.17	2.3		0.19	3.1
BMC		0.0070	2.8		0.07	3.4
Total Mass		0.48	5.8		0.294	3.0
%FM	TB (n=23)	0.55	2.3	TB (n=21)	0.53	2.0
Fat		0.44	2.2		0.038	1.7
Lean		0.55	1.2		0.9	1.8
BMC		0.05	1.8		0.04	1.4
Total Mass		0.26	0.3		1.16	1.6

Abbreviations: %FM= percent fat mass; FM= fat mass; LM= lean mass; BMC= bone mineral content; RMS-SD= root mean square standard deviation; RMS-CV%= root mean square coefficient of variation; BMC= bone mineral content; TB= total body

Long-term precision [2 repeat total body scans 4 weeks apart]

The long-term precision mean values of scan 1 and scan 2 for regional and total body %FM, FM, LM and BMC are presented (Table 3) with the paired analysis demonstrating that there were no statistical differences between the scans with the exception of that for the android region %FM (P =0.02). The RMS-SD and RMS-CV% for the regional and total body %FM, FM, LM and BMC for the long-term precision data are also presented (Table 4). The RMS-CV% for each region did not exceed 6.0%, 3.0%, 4.4%, 8.2%, 3.4% and 2.0% for arms, legs, trunk, android, gynoid and total body between repeated scans. Height was not significantly different (P= 0.6) between scan 1 (178.9±5.8 cm) and scan 2 (179.1±6.1 cm). For scan 1, weight measured by weighing scale was not significantly different from total body weight measured by DXA (79.4 ±12.4 vs. 79.4±12.2, P = 0.9, Table 4).

Table 3.

Regional and total body %FM, FM, LM and BMC between two repeated scans (scan 1 and scan 2) separated by 4 weeks in 22 persons with SCI

		Scan 1	Scan 2	P-values
Arms	Region %FM	23.4±10.4	23.2±10.3	0.50
	Fat (kg)	2.37±1.06	2.3±1.03	0.17
	Lean (kg)	7.36±2.1	7.2±2.13	0.10
	BMC (kg)	0.48±0.09	0.48±0.1	0.13
	Total (kg)	10.2±2.4	10.0±2.5	0.047
Legs	Region %FM	34.7±9.4	34.5±9.6	0.40
	Fat (kg)	8.37±3.27	8.3±3.37	0.28
	Lean (kg)	14±3.2	14.4±3.3	0.20
	BMC (kg)	0.95±0.22	0.947±0.22	0.39
	Total (kg)	23.8±5.1	23.7±5.2	0.47
Trunk	Region %FM	36.5±11	36.4±10.8	0.59
	Fat (kg)	14.99±5.9	14.93±6	0.64
	Lean (kg)	23.77±3.3	23.7±3.09	0.73
	BMC (kg)	1.08±0.23	1.1±0.24	0.06
	Total (kg)	39.8±6.5	39.7±6.7	0.70
Android	Region %FM	41.1±11.8	39.9±12.1	0.02
	Fat (kg)	2.69±1.16	2.60±1.24	0.13
	Lean (kg)	3.49±0.52	3.52±0.57	0.20
	BMC (kg)	0.07±0.017	0.068±0.014	0.22
	Total (kg)	6.3±1.4	6.2±1.6	0.45
Gynoid	Region %FM	38.8±9.5	38.6±9.7	0.60
	Fat (kg)	4.3±1.7	4.25±1.7	0.27
	Lean (kg)	6.28±1.2	6.24±1.15	0.48
	BMC (kg)	0.247±0.06	0.249±0.064	0.44
	Total (kg)	10.8±2.4	10.7±2.3	0.19
Total body	Region %FM	32.9±9.7	32.8±9.7	0.40
	Fat (kg)	26.7±10	26.5±10.2	0.10
	Lean (kg)	49.6±7.7	49.3±7.6	0.39
	BMC (kg)	3.09±0.5	3.1±0.5	0.23
	Total (kg)	79.4±12.4	79.0±12.7	0.19

Data presented as mean ± SD.

Abbreviations: %FM= percent fat mass; FM= fat mass; LM= lean mass; BMC= bone mineral content;

Long-term precision group and ICC

For arms, ICC for %FM (r=0.99; 95%CI: 0.98–0.997, P< 0.0001), FM (r=0.97; 95%CI: 0.94–0.99, P< 0.0001), LM (r=0.98; 95%CI: 0.97–0.99, P< 0.0001) and BMC (r=0.98; 95%CI: 0.97–0.99, P< 0.0001) showed a high level of agreement between scan 1 and scan 2. For legs, ICC for %FM (r=0.99; 95%CI: 0.98–0.997, P< 0.0001), FM (r=0.97; 95%CI: 0.94–0.99, P< 0.0001), LM (r=0.98; 95%CI: 0.97–0.99, P< 0.0001) and BMC (r=0.98; 95%CI: 0.97–0.99, P< 0.0001) showed a high level of agreement between scan 1 and scan 2. For trunk, ICC for %FM (r=0.99; 95%CI: 0.98–0.997, P< 0.0001), FM (r=0.97; 95%CI: 0.94–0.99, P< 0.0001), LM (r=0.98; 95%CI: 0.97–0.99, P< 0.0001) and BMC (r=0.98; 95%CI: 0.97–0.99, P< 0.0001) showed a high level of agreement between scan 1 and scan 2. For total body, ICC for %FM (r=0.99; 95%CI: 0.98–0.997, P< 0.0001), FM (r=0.97; 95%CI: 0.94–0.99, P< 0.0001), LM (r=0.98; 95%CI: 0.97–0.99, P< 0.0001) and BMC (r=0.98; 95%CI: 0.97–0.99, P< 0.0001) showed a high level of agreement between scan 1 and scan 2.

Discussion

The current study determined the short- and long-term precision of total and regional soft tissue body composition in men with SCI. For the same-day short-term and long-term precision assessments (e.g. RMS-CV%) for each region of interest were quite similar. Moreover, the interclass-correlation coefficient in the long-term precision group demonstrated excellent linear agreement between repeat scans for all regions (r> 0.97).

A quantifiable precision error is inherent to densitometry measurement, and it represents the non-biological changes that can be attributed to random error; such error must be sufficiently minor to be able to detect the effect from an intervention with confidence.¹⁹ Technologists who acquire DXA measurements on different patient populations observe variable precision assessments with the appreciated potential to confound interpretations of the findings. The ISCD has developed an official position regarding the use of DXA for body composition assessment and limited its applications to specific medical conditions including patients with HIV, obese individuals undergoing weigh loss programs, candidates for bariatric surgery, and persons with sarcopenia.²⁰ The ISCD recommends the minimum acceptable precision error should not exceed 3%, 2%, and 2% for total fat mass, total lean mass, and percent fat mass, respectively; the precision measurement should be performed in the population of interest.²¹ This general guideline does not specifically address the regional areas because acceptable reliability studies on the arms, legs, and trunk have not been performed to date. There is an obvious need to determine the magnitude of error in regional and total body composition when conducting longitudinal trials after SCI,^{3,8, 15, 22} and a paucity of work has been reported in persons with SCI that addresses the FM, LM and BMC precision error that is derived from a total body DXA scan.

Longitudinal randomized clinical trials are essential to determine what rehabilitation interventions prove to be efficacious in reversing or preventing the adverse body composition changes observed in the chronic SCI population.^15,22 Clinical trials that address rehabilitation interventions in persons with SCI require significant resources and often poise daunting challenges to recruit sample sizes that are adequate to address the questions being considered; therefore, accurately determining the precision error is essential to quantify the variability of DXA and to ensure valid outcomes.²² Obstacles to successful DXA scanning in persons with SCI can be attributed to difficulty in positioning due to increased spasticity, tone, and contractures, as well as the logistical obstacle of transferring participants to a DXA table top height that is comfortable and safe.²³ As a result of these obstacles, the majority of DXA reliability studies have utilized a same-day “on-and-off” the table methodology where by participants are repositioned between DXA scans as the most feasible option to obtain the precision error.^{8, 24, 25} In a reliability study by Kiebzak et al.²⁶, the authors performed total body DXA precision assessments on healthy male and female subjects. The total body BMD and BMC precision error was found to be 0.62% and 1.09%, respectively; while soft tissue precision error for fat tissue mass) and lean tissue mass was found to be 2.0% and 1.11%, respectively. In another study by Ley et al.²⁷, the authors established precision estimates for postmenopausal women with a precision error for total LM of 1.8% and total FM of 2.9%, with regional measurements showing more variability, but all were less than 5%. The short-term precision error findings presented herein are in agreement with these previous studies, and within the range reported in the general population.

Assessments of the long-term precision have utilized the ISCD guideline to calculate the precision error but performed the repeat scans on separate days, a study design that more accurately reflects the true change from repeated measurements and is the preferred study design for reliability studies. A between day (long -term) study design can capture the effect of confounding variables such as variability in participant hydration status, repositioning errors, and calibration stability that can lead to significantly larger precision error estimates.²⁸ In contrast, the within day (short-term) study design is a more practical surrogate method to measure the precision error from repeat scans and is the most common methodology used in the clinical or research settings. As a result, in the current study it was necessary to stratify the dataset into participants who completed repeat scans within the same day and those who completed repeat scans on different days. In a study by Powers et al.²⁹, the authors determined the long-term precision of regional and total soft tissue body composition in 609 participants who were recruited as a part of the National Health and Nutrition Examination Survey (NHANES) 2000–2002. Their findings indicated that the RMS-CV% ranged from 1.47–4.27, 1.41–2.28, 1.41–2.75 and 1.1–1.97 for arms, legs, trunk and total body, respectively. In the current long-term precision study, the RMS-CV% ranged from 2.7–4.4%, 1.27–3%, 2.0–4.4% and 1.4–1.96% for arms, legs, trunk and total body, respectively. The range of RMS-CV% for arms, legs, and total body is similar to what has been reported in the NHANES datasets, with the exception of the RMS-CV% for the trunk soft tissue variables that were notably higher in the current study. Several factors may have played a role in the observed discrepancy in the findings between these two studies. DXA machines by different manufacturers are appreciated to have different FM and LM values, and they also have different estimates of precision error.³⁰ The current study utilized a GE Lunar Prodigy densitometer, while the study by Powers et al.²⁹ utilized a Hologic densitometer to assess the precision error of soft tissue mass. Furthermore, the time period between repeat scans was 8 days in the NHANES study compared to 4 weeks in the current study, the maximum period deemed acceptable by the ISCD to determine the reproducibility of repeated scans.^{12, 20, 21} We have previously shown that the caloric intake and macronutrients were stable across 4-week period in persons with motor-complete SCI,⁴ which provides support that change in soft tissue body composition without an intervention in persons with SCI is unlikely during this time frame.

An additional factor that may increase the precision error from a total body DXA scan include the failure to accurately reposition participant’s limbs between scans. The day to day precision is likely to be impacted by progressing skeletal muscle atrophy and with accompanying increases in intramuscular fat,^{3, 5} this may contribute to an increased precision error during longitudinal studies. Because of abnormal anatomical considerations which include joint contractures, leg-pelvic discrepancy, trunk scoliosis and kyphosis, it may be difficult to position participants with SCI according to the recommended ISCD guidelines. However, our estimates of short-term precision errors were similar to those for long-term precision. Surprisingly, the range of the RMS-CV% was even higher in the arms in the short-term compared to long-term precision. Our findings of increased variability in the short-term precision cohort may have been because 67% of the participants had tetraplegia compared to 41% of the participants in the long-term precision study, a difference in group composition which was likely to relatively inflate the precision error in the short-term cohort.

Limitations

The primary limitation of this study was the relatively small sample size and the lack of statistical power to calculate the least significant change (LSC) of the total body composition variables. To report the LSC with a 95% confidence interval, one of three precision assessment methodologies must be adopted: 2 repeat scans on 30 participants, 3 repeat scans on 15 participants, or 4 repeat scans on 10 participants. In the current study, vertebral hardware fusion was not accounted; however, this is likely to have trivial effects on our findings because a within-subject design was primarily employed. Only men with SCI were included since the original parent clinical trial was conducted to investigate the effect of resistance training and testosterone replacement therapy on men with SCI. Therefore, the generalizability of the results should be considered with caution and future studies need to include women with SCI. We have also tested the precision in a supine position utilizing the NHANES hands prone total body scanning methodology.³¹ A recent report demonstrated a lower precision error utilizing the mid-prone hand position,²⁵ a finding that may help improve precision error in the SCI population given the excessive abdominal adiposity in many individuals that can interfere with proper positioning to allow for uniform demarcation of regions of interest. This mid-prone position was standardized as the Nana protocol,³² and in a recent report the precision error was superior to that obtained in the NHANES protocol when utilizing foam positioning aids to standardize intra-participant distance between the legs and the distance separating the arm from the trunk.

Conclusion

The use of DXA in persons with SCI is safe, readily available, and relatively easy to perform, but there is little information that has been reported to date on the reliability of soft tissue body composition measurements that are derived from the total body scan. Our estimate of short- and long-term precision errors for these measurements is likely to be higher than able-bodied control participants, but the error is such that longitudinal changes in tissue compartment measurements over extended periods of time would likely be reliable, and thus feasible to perform. The precision error of total body composition variables was equivalent to that of previous reports in the nondisabled; values in our SCI cohort were notably higher in regional body composition compartments, which is also similar to those reported in prior studies in the general population. Our study adds to the body of evidence that total and regional body composition assessment by DXA is highly reproducible among persons with SCI. The findings presented herein can be used for interpretation of those that have been generated in prior longitudinal findings, as well as for use in power calculations when determining minimum sample size in future clinical trials in which tissue compartment measurement by total body DXA is the primary outcome variable.

Supplementary Material

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Table S1. Values for the quality assurance measurements of the phantom determined at the first and second dual energy x-ray absorptiometry scans in persons with SCI.