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Reproducibility of a peripheral quantitative computed tomography scan protocol to measure the material properties of the second metatarsal
BMC Musculoskeletal Disorders volume 15, Article number: 242 (2014)
Peripheral quantitative computed tomography (pQCT) is an established technology that allows for the measurement of the material properties of bone. Alterations to bone architecture are associated with an increased risk of fracture. Further pQCT research is necessary to identify regions of interest that are prone to fracture risk in people with chronic diseases. The second metatarsal is a common site for the development of insufficiency fractures, and as such the aim of this study was to assess the reproducibility of a novel scanning protocol of the second metatarsal using pQCT.
Eleven embalmed cadaveric leg specimens were scanned six times; three times with and without repositioning. Each foot was positioned on a custom-designed acrylic foot plate to permit unimpeded scans of the region of interest. Sixty-six scans were obtained at 15% (distal) and 50% (mid shaft) of the second metatarsal. Voxel size and scan speed were reduced to 0.40 mm and 25 mm.sec-1. The reference line was positioned at the most distal portion of the 2nd metatarsal. Repeated measurements of six key variables related to bone properties were subject to reproducibility testing. Data were log transformed and reproducibility of scans were assessed using intraclass correlation coefficients (ICC) and coefficients of variation (CV%).
Reproducibility of the measurements without repositioning were estimated as: trabecular area (ICC 0.95; CV% 2.4), trabecular density (ICC 0.98; CV% 3.0), Strength Strain Index (SSI) - distal (ICC 0.99; CV% 5.6), cortical area (ICC 1.0; CV% 1.5), cortical density (ICC 0.99; CV% 0.1), SSI – mid shaft (ICC 1.0; CV% 2.4). Reproducibility of the measurements after repositioning were estimated as: trabecular area (ICC 0.96; CV% 2.4), trabecular density (ICC 0.98; CV% 2.8), SSI - distal (ICC 1.0; CV% 3.5), cortical area (ICC 0.99; CV%2.4), cortical density (ICC 0.98; CV% 0.8), SSI – mid shaft (ICC 0.99; CV% 3.2).
The scanning protocol generated excellent reproducibility for key bone properties measured at the distal and mid-shaft regions of the 2nd metatarsal. This protocol extends the capabilities of pQCT to evaluate bone quality in people who may be at an increased risk of metatarsal insufficiency fractures.
Insufficiency stress fractures are mal-adaptations of poor quality bone in the form of deficient elastic resistance in response to normal muscle strain, and these can result in significant levels of morbidity [1, 2]. The 2nd metatarsal is one of the most common sites of insufficiency fracture in people with poor bone strength, whereas fatigue-type stress fractures in athletes and military recruits which are characterized by abnormal stresses being applied to bone which has normal elastic resistance due to muscle fatigue [2–6]. The reasons for the predilection of fractures at the 2nd metatarsal remain unclear; however the research evidence suggests that the 2nd metatarsal may be prone to greater levels of bone strain relative to the lesser metatarsals [3, 7]. Indeed, the maximum tensile stress experienced in the 2nd metatarsal is at the mid shaft, typically the narrowest portion of the bone and the portion most prone to fracture [3, 8]. Bone strength of the 2nd metatarsal appears to be closely related to cortical bone mineral density . As such, the structural integrity of the 2nd metatarsal may be diminished as a result of exposure to disease-related risk factors that affect bone strength. However it is acknowledged that the complex relationship between bone mineral density and fracture risk remains unclear and requires further investigation .
Bone strength can be estimated from measurements of bone mineral density (BMD) . Peripheral quantitative computed tomography (pQCT) is a three-dimensional imaging technology that assesses trabecular and cortical bone characteristics, including volumetric BMD (vBMD), at peripheral sites such as the tibia and radius . Peripheral quantitative computed tomography (pQCT) has emerged as an accurate method for measuring BMD and is advantageous as it is less susceptible to confounding by skeletal size compared to dual x-ray absorptiometry (DXA) . Furthermore, pQCT scans are relatively safe as the level of radiation exposure is low [10, 12].
The International Society of Clinical Densitometry has highlighted the need for further pQCT research to determine other regions of interest (ROI) that are predictive of fracture risk in people with chronic diseases . Currently there is no gold standard method to measure bone quality in the foot. Standard protocols for pQCT measurements of the peripheral appendicular skeleton are largely limited to the wrist and tibia . However bone density measurements in the foot may correlate only slightly with more proximal sites . As such, there is a need for a reproducible protocol for pQCT BMD measurements of the 2nd metatarsal. Good reproducibility and precision of high resolution pQCT measurements of the anthropometrically similar metacarpals has been demonstrated recently in people with and without rheumatoid arthritis [14, 15]. If a standard, reproducible protocol for measuring 2nd metatarsal bone health using pQCT can be developed, it may be possible to identify people who are at risk of developing insufficiency fractures at this ROI. Accordingly, our aim was to assess the reproducibility of a novel scanning protocol to measure the material properties of the 2nd metatarsal using pQCT.
Prior to receipt of donated bodies for teaching and/or scientific purposes at the University of Western Sydney Anatomy Department of the School of Science & Health, consent is established using a Body Consent Form. Eleven male adult embalmed cadaver legs (4 right and 7 left legs), disarticulated at the hip, were made available by the University of Western Sydney Anatomy Department of the School of Science & Health, and scanned with soft tissue intact. Specimens had been embalmed using a chemical mixture of 70% ethanol, glycerol, 40% formaldehyde and water. Each specimen was refrigerated for a minimum of 12 months prior to disarticulation. Age at death ranged from 59 to 93 years with a mean age at death of 75 years. Scans were performed at the Anatomy Department at the School of Science & Health, University of Western Sydney, Campbelltown campus. Ethical approval was granted by the University of Western Sydney Research Ethics Committee in July, 2012. This research was conducted in accordance with the Declaration of Helsinki.
Experimental scanning protocol
An experienced pQCT operator (DG) performed all pQCT scans using a Stratec XCT 2000 device (Stratec Medizintechnik GmbH, Pforzeim, Germany, software version 5.50d). A cone phantom was scanned at the commencement of data collection to confirm machine calibration. Briefly, the cone phantom used to calibrate the pQCT scanner was the Quality Assurance in Radiology and Medicine European Forearm Phantom (QRM-EFP), which consists of water- and bone-equivalent solid materials and is a standardized device that is used to test peripheral bone densitometry systems . The pQCT scanner was calibrated on a daily basis. All scans were acquired over a two day period, and the pQCT scanner was calibrated prior to the commencement of scans each day. The effective dose of radiation for this study was calculated by an independent radiation safety officer as 0.0035 millisieverts (mSv), which is within the dose constraints for children and adults and represents a negligible risk .
Each foot was positioned on a custom-designed foot plate comprised of acrylic to allow the pQCT gantry to pass over the foot scan-region unimpeded (Figure 1). The foot was strapped to the foot plate at the ankle and toes. A scout scan of the entire 2nd metatarsal was performed to assess metatarsal length and to provide an anatomic reference line. The reference line was positioned at the most distal portion of the 2nd metatarsal. Sixty-six scans (n = 66) were obtained at 15% (distal end) and 50% (mid shaft) of the 2nd metatarsal (Figure 2). As single scans were acquired at these sites, no averaging of multiple slices was required. Each slice obtained was 2.2 mm wide.
Each foot was scanned six times; three times with, and three times without repositioning over a period of two days. Voxel size and scan speed were set to 0.40 mm and 25 mm.sec-1, respectively. Because the 15% scan site has very little cortical shell, we suspected that a standard contour search would not be reliable due to the cortical shell being thinner than the 0.4 mm voxel size. Normal interactive contour search modes 2 and 3 would therefore fail to detect bone. Contour mode 1 is a threshold based algorithm used at a density of 0 mg/cm3 so all voxels could be included within the ROI to describe total bone. Therefore the ROI was drawn to define the periosteal edge, allowing contour mode 1 and a threshold level of zero to detect total bone. Peel mode 4 with a threshold of 650 and 1% peel back was used to define the trabecular area. Peel mode 4 is a combination of the threshold based peel mode 2 with an additional peel back based on a percentage of total bone. The method was adopted to purposely use a high threshold of 650 mg/cm3 so all possible trabecular bone was detected. This analysis mode then ‘peels back’ from the threshold found endosteum so that any cortical bone detections are removed. At 50% mid shaft, a 600 mg.cm3 threshold and separation mode 2 were employed. The pQCT variables selected for repeat measurement included strength strain index (SSI, mm3), cortical area (mm2), cortical density (g.cm2), trabecular area (mm2), and trabecular density (g.cm2). A single rater (DG) analysed all scans in one sitting.
Statistical analyses were performed using SPSS version 20.0 (SPSS, Chicago, IL, USA). Intra-class correlation (ICC) was calculated using a two-tailed mixed consistency model . Data were then natural log transformed to meet the assumptions of inferential statistical analyses and coefficient of variations (CV%s) calculated using mean square error (MSE) and expressed as a percentage (CV%). An ICC of 1.0 indicates perfect agreement and an ICC of >0.75 represents “excellent reliability” . CV values of 10% or below are generally considered to be an indication of “good” reliability . Means and standard deviations (SD) are presented for unadjusted values.
Results and discussion
Table 1 shows unadjusted means and SDs, and log transformed ICC and CV% values. ICC analysis revealed excellent reproducibility for scans with, and without, repositioning. Without repositioning, ICC ranged from 0.95 to 1.0. After repositioning, ICC ranged from 0.96 to 1.0. When all scans were analysed, ICC ranged from 0.95 to 1.0. CV% results also indicate adequate reproducibility ranging from a minimum value of 0.1 to 5.6 for scans without repositioning and 0.8 to 3.5 after repositioning. When all scans were analysed, CV% ranged from 0.5 to 8.9.
The most reproducible variable (i.e. lowest precision error) was volumetric cortical bone mineral density with CV% of 0.8% and 0.1% with and without repositioning respectively. The least reproducible variable was strength strain index at the distal metatarsal with CV% ranging from 3.5 (with repositioning) to 8.9 (all scans included). Reproducibility data at the mid-shaft (CV% range 0.1 to 3.2) appeared more reliable than data collected at the distal metatarsal (CV% range 2.4 to 8.9).
We have developed a novel scanning protocol showing acceptable reproducibility for key bone properties measured at the distal and mid-shaft regions of the 2nd metatarsal. Variables selected were considered an appropriate representation of bone geometry (area), bone material (density), and bone strength (strength strain index). All precision values for scans with-and without repositioning were considered to be an indication of good reliability. To our knowledge, we are the first to demonstrate reproducibility of measurements for key bone properties of the 2nd metatarsal using pQCT.
The high reproducibility of volumetric cortical bone mineral density provides potential benefits with regard to fracture prediction. Previous studies have shown fracture failure load in the 2nd metatarsal is strongly dependent on cortical density [8, 21]. However we acknowledge that recent research has found that bone geometric strength variables may be more highly correlated with fracture failure loads at the 2nd and 3rd metatarsals than bone density variables . Nevertheless, our results suggest BMD values alone may prove useful in identifying individuals with poor cortical density at the 2nd metatarsal that may be at risk of fracture. Cortical density values acquired at the mid-shaft of the 2nd metatarsal in the current study appeared highly reproducible and may be useful in the early detection of fracture in people with chronic diseases affecting bone health. Indeed cortical area and density measurements at the mid-shaft in the present study were comparable to that of Muehleman et al , who used a novel pQCT scanning protocol to measure BMD of fresh frozen, fully disarticulated cadaveric 2nd metatarsal specimens in vitro. In addition, our reproducibility estimates appear to be comparable to that of standard pQCT distal forearm protocols which report CV% values ranging from 0.3-2.2% .
One of the potential sources of imprecision with pQCT is patient positioning. Exact repositioning is required to ensure the same region of bone is scanned subsequent to baseline scans. Rigorous positioning control is therefore necessary, particularly if time between re-scans extends to weeks or months. Previous work indicates that small variations in repositioning alters radiation penetration and can result in magnified effects on measurements from repeat scans . In our study, it is plausible that marginally higher CV% values with repositioning occurred as a result of altered limb angles in the gantry and subsequent acquisition of scans at a slightly different plane. It should be noted that all CV% were below 10%, indicating good reliability. We acknowledge that reproducibility estimates for this protocol obtained from live human subjects in future may yield less impressive CV% values.
Previous research has demonstrated repeat scans performed within the same day systematically underestimated precision errors . It is possible that an underestimation of precision errors can lead to a type-II statistical error where a non-significant finding is reported when a true difference actually exists. The current recommendation is to perform repeat scans on different days. Furthermore, the use of different testers has shown increased precision error compared with repeats scans performed by a single tester . In the current study, scans were performed over a two day period by a single tester with similar CV% values with- and without repositioning.
Our reproducibility analysis approach was in accordance with guidelines from the International Society of Clinical Densitometry (ISCD) . The ISCD states that a minimum of 30 degrees of freedom is required through measurement of 30 subjects scanned twice of 15 subjects scanned 3 times to ensure precision error is statistically accurate . In the current study, eleven legs were scanned six times each, representing 55 degrees of freedom ensuring the upper limit for the 95% confidence intervals is no more than 34% greater than the calculated value. The ISCD recommendation for degrees of freedom refers to the calculation of precision errors using DXA. However, it is also recommended that the same procedure is used to determine precision errors for pQCT .
The protocol was specifically developed for future clinical application to measure foot bone health in people with chronic inflammatory arthritis conditions such as rheumatoid arthritis who are at risk of metatarsal fractures . However this protocol may have a broader application to other clinical populations with suboptimal bone mass, as well as military recruits, and athletic populations such as gymnasts and runners that are susceptible to fatigue-type stress fractures in the foot . The novel scanning protocol required the construction of a custom-designed acrylic foot plate that allowed the pQCT gantry to pass over the foot scan-region unimpeded. Our results suggest the foot plate provided a stable scanning environment and contributed to the high reproducibility observed in the present study.
There are several limitations in the current study that warrant acknowledgement. We acknowledge that assessments of intra-rater (between-session) and inter-rater agreement – while desirable to establish the reliability of this protocol – were regrettably not possible within the scope and time-frame of this study. Moreover, assessment of accuracy of this protocol via comparison of pQCT outcomes to that of histomorphometric and/or ashing outcomes was also not possible within the scope of this study. Precision values reported in the present study are specific to the testing protocol and therefore may not be representative of different protocols. When scanning parameters, such as voxel size and scan speed, are combined with specific ‘thresholding’ during image analysis, outcome measures are different . Precision values in the current study are specific to the XCT-2000 and may not be representative of other imaging instruments such as XCT-3000 or high resolution pQCT. Furthermore, precision values in the present study are limited to the 2nd metatarsal and cannot be extrapolated to other skeletal sites.
In conclusion, we have shown excellent reproducibility for key bone variables measured at the distal and mid-shaft regions of the 2nd metatarsal using a novel pQCT scanning protocol. Measurements of cortical density at the mid-shaft of the 2nd metatarsal showed excellent reproducibility (CV < 1.0%). Bone geometry and surrogate markers of bone strength showed acceptable levels of reproducibility. The pQCT protocol will now be applied to measure 2nd metatarsal bone health in children and adults who have inflammatory joint diseases affecting the foot and lower limb, in order to identify those who may be at risk of insufficiency fractures.
Bone mineral density
Coefficient of variation
Dual x-ray absorptiometry
- g.cm2 :
grams per square centimeter
Intraclass correlation coefficient
International Society of Clinical Densitometry
- mm2 :
- mm3 :
Mean square error
Peripheral quantitative computed tomography
- QRM EFP:
Quality Assurance in Radiology and Medicine European Forearm Phantom
Region of interest
Strength strain index
Volumetric bone mineral density.
Kay LJ, Holland TM, Platt PN: Stress fractures in rheumatoid arthritis: a case series and case-control study. Ann Rheum Dis. 2004, 63: 1690-1692.
Lingg G, Soltesz I, Kessler S, Dreher R: Insufficiency and stress fractures of the long bones occurring in patients with rheumatoid arthritis and other inflammatory diseases, with a contribution on the possibilities of computer tomography. Eur J Radiol. 1997, 26: 54-63.
Donahue SW, Sharkey NA, Modanlou KA, Sequeira LN, Martin RB: Bone strain and microcracks at stress fracture sites in human metatarsals. Bone. 2000, 27: 827-833.
Matheson GO, Clement DB, McKenzie DC, Taunton JE, Lloyd-Smith DR, MacIntyre JG: Stress fractures in atheletes: a study of 320 cases. Am J Sports Med. 1987, 15: 46-58.
Ekstrand J, Torstveit MK: Stress fractures in elite male football players. Scand J Sci Sports. 2012, 22: 341-346.
Valimaki V, Alfthan H, Lehmuskallio E, Loyttyniemi E, Sahi T, Suominen H, Valimaki MJ: Risk factors for clinical stress fractures in male military recruits: a prospective cohort study. Bone. 2005, 37: 267-273.
Arangio GA, Beam H, Kowalczyk G, Salathe EP: Analysis of stress in the metatarsals. Foot Ankle Surg. 1998, 4: 123-128.
Muehleman C, Lidtke R, Berzins A, Becker JH, Shott S, Sumner DR: Contributions of bone density and geometry to the strength of the human second metatarsal. Bone. 2000, 27: 709-714.
Divittorio G, Jackson KL, Chindalore VL, Welker W, Walker JB: Examining the relationship between bone mineral density and fracture risk reduction during pharmacologic treatment of osteoporosis. Pharmacotherapy. 2006, 26: 14-114.
Adams JE: Quantitative computed tomography. Eur J Radiol. 2009, 71: 415-424.
Sievanen H, Koskue V, Rauhio A, Kannus P, Heinonen A, Vuori I: Peripheral quantitative computed tomography in human long bones: evaluation of in vitro and in vivo precision. J Bone Miner Res. 1998, 13: 871-882.
Zemel B, Bass S, Binkley T, Ducher G, Macdonald H, McKay H, Moyer-Mileur L, Shepherd J, Specker B, Ward K, Hans D: Peripheral quantitative computed tomography in children and adolescents: the 2007 ISCD pediatric official positions. J Clin Densitom. 2008, 11: 59-74.
Lequin MH, Hop WCJ, van Rijn RR, Bukkems MCHW, Verhaak LLJ, Robben SGF, van Kuijk C: Comparison between quantitative calcaneal and tibial ultrasound in a Duth Caucasian pediatric and adolescent population. J Clin Densitom. 2001, 4: 137-146.
Fouque-Aubert A, Boutroy S, Marotte H, Vilayphiou N, Bacchetta J, Miossec P, Delmas PD, Chapurlat RD: Assessment of hand bone loss in rheumatoid arthritis by high-resolution peripheral quantitative CT. Ann Rheum Dis. 2010, 69: 1671-1676.
Feehan L, Buie H, Li L, McKay H: A customized protocol to assess bone quality in the metacarpal head, metacarpal shaft and distal radius: a high resolution peripheral quantitative computed tomography precision study. BMC Musculoskelet Disord. 2013, 14: 367-
Ruegsegger P, Kalender WA: A phantom for standardization and quality control in peripheral bone measurements by pQCT and DXA. Phys Med Biol. 1993, 38: 1963-1970.
Damilakis J, Adams JE, Guglielmi G, Link TM: Radiation exposure in X-ray based imaging techniques used in osteoporosis. Eur Radiol. 2010, 20: 2707-2714.
Shrout PE, Fleiss JL: Intraclass correlations: uses in assessing rater reliability. Psychol Bull. 1979, 86: 420-428.
Fleiss JL: The Design and Analysis of Clinical Experiments. 1986, New York: John Wiley Sons, 1-31.
Atkinson G, Neville AM: Statistical methods for assessing measurement error (reliability) invariables relevant to sports medicine. Sports Med. 1998, 26: 217-238.
Courtney AC, Davies BL, Manning T, Kambic H: Effects of age, density and geometry on the bending strength of human metatarsals. Foot Ankle Int. 1997, 18: 216-221.
Gutekunst DJ, Patel TK, Smith KE, Commean PK, Silva MJ, Sinacore DR: Predicting ex vivo failure loads in human metatarsals using bone strength indices derived from volumetric quantitative computer tomography. J Biomech. 2013, 46: 745-750.
Engelke K, Libanati C, Liu Y, Wang H, Austin M, Fuerst M, Stampa B, Timm W, Genant HK: Quantitative computed tomography (QCT) of the forearm using general purpose spiral whole-body CT scanners: accuracy, precision and comparison with dual-energy X-ray absorptiometry (DXA). Bone. 2009, 45: 110-118.
Swinford RR, Warden SJ: Factors affecting short-term precision of musculoskeletal measures using peripheral quantitative computed tomography (pQCT). Osteoporos Int. 2010, 21: 1863-1870.
Biam S, Wilson CR, Lewiecki EM, Luckey MM, Downs RW, Lentle BC: Precision assessment and radiation safety for dual x-ray absoprtiometry: position paper of the international society for clinical densitometry. J Clin Densitom. 2005, 8: 371-378.
Weiss RJ, Wick MC, Ackermann PW, Montgomery SM: Increased fracture risk in patients with rheumatic disorders and other inflammatory diseases – a case-control study with 53,108 patients with fracture. J Rheumatol. 2010, 37: 2247-2250.
Dixon SJ, Creaby MW, Allsopp AJ: Comparison of static and dynamic biomechanical measures in military recruits with and without a history of third metatarsal stress fracture. Clin Biomech. 2006, 21: 412-419.
Ashe MC, Liu-Ambrose T, Khan KM, White N, McKay HA: Optimizing results from pQCT: reliability of operator-dependent pQCT variables in cadavers and humans with low bone mass. J Clin Densitom. 2005, 8: 335-340.
The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2474/15/242/prepub
The authors would like to thank Mr Scott Wheatley and Mr Ilango Rajaratnam of the University of Western Sydney anatomy department for their excellent technical assistance. We would also like to thank Dr Jeffrey Chaitow for his advice with the preparation of our grant application. This work was supported by the Australian Podiatry Education & Research Fund (APERF) (grant no. 21633).
DJ Schiferl works for Bone Diagnostics Inc (Fort Atkinson, WI, USA).
GJH was responsible for the original conception of the study and design, acquisition of data, and drafting and revising the manuscript. ST, JB, KR, DS-G, and VdT participated in the design of the study, interpretation of data, and helped to draft the manuscript. DG, EC, DS and AH were responsible for the acquisition of data, data analysis, interpretation of data, and helped to draft the manuscript. All authors read and approved the final manuscript.
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Chaplais, E., Greene, D., Hood, A. et al. Reproducibility of a peripheral quantitative computed tomography scan protocol to measure the material properties of the second metatarsal. BMC Musculoskelet Disord 15, 242 (2014). https://doi.org/10.1186/1471-2474-15-242
- Fracture risk
- 2nd metatarsal
- Insufficiency fracture