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. 2016 Sep 21;27(5):2188–2199. doi: 10.1007/s00330-016-4556-3

Diagnostic accuracy of DXA compared to conventional spine radiographs for the detection of vertebral fractures in children

E Adiotomre 1,2, L Summers 3, A Allison 4, S J Walters 4, M Digby 3, P Broadley 2, I Lang 2, G Morrison 5, N Bishop 6, P Arundel 6, A C Offiah 2,6,✉
PMCID: PMC5374187  PMID: 27655305

Abstract

Objectives

In children, radiography is performed to diagnose vertebral fractures and dual energy x-ray absorptiometry (DXA) to assess bone density. In adults, DXA assesses both. We aimed to establish whether DXA can replace spine radiographs in assessment of paediatric vertebral fractures.

Methods

Prospectively, lateral spine radiographs and lateral spine DXA of 250 children performed on the same day were independently scored by three radiologists using the simplified algorithm-based qualitative technique and blinded to results of the other modality. Consensus radiograph read and second read of 100 random images were performed. Diagnostic accuracy, inter/intraobserver and intermodality agreements, patient/carer experience and radiation dose were assessed.

Results

Average sensitivity and specificity (95 % confidence interval) in diagnosing one or more vertebral fractures requiring treatment was 70 % (58–82 %) and 97 % (94–100 %) respectively for DXA and 74 % (55–93 %) and 96 % (95–98 %) for radiographs. Fleiss’ kappa for interobserver and average kappa for intraobserver reliability were 0.371 and 0.631 respectively for DXA and 0.418 and 0.621 for radiographs. Average effective dose was 41.9 μSv for DXA and 232.7 μSv for radiographs. Image quality was similar.

Conclusion

Given comparable image quality and non-inferior diagnostic accuracy, lateral spine DXA should replace conventional radiographs for assessment of vertebral fractures in children.

Key Points

• Vertebral fracture diagnostic accuracy of lateral spine DXA is non-inferior to radiographs.

• The rate of unreadable vertebrae for DXA is lower than for radiographs.

• Effective dose of DXA is significantly lower than radiographs.

• Children prefer DXA to radiographs.

• Given the above, DXA should replace radiographs for paediatric vertebral fracture assessment.

Keywords: Spinal fractures, Osteoporosis, Interobserver variability, Dual energy x-ray absorptiometry, Radiography

Introduction

Radiation exposure is directly associated with cancer risk [1–3]. The earlier the radiation exposure, the higher the risk of radiation-induced cancer [4, 5]. Children have a higher mitotic rate and therefore increased susceptibility to radiation and a longer lifespan to accumulate dose and manifest radiation-induced cancer [4, 6]. Repeated spine radiographs in adolescent scoliosis [7] and fluoroscopy in tuberculosis [8] are associated with increased risk of breast cancer. There is no minimum dose threshold at which radiation does not have a cancer risk but the dose response is linear for solid cancers and linear-quadratic for leukaemia [4, 5]. The Committee on Biological Effects on Ionizing Radiation VII lifetime risk model suggests that an increase of 100 mSv above background radiation could cause 1 cancer per 100 people [9]. The typical effective dose (ED) of one chest radiograph in a 10-year-old child is 0.006 mSv [5]. A study on cumulative radiation doses in children with spinal dysraphism calculated mean childhood cumulative ED of 23 mSv with an additional cancer risk of 0.37 % (1 in 270) based on a risk of 16 % per Sv [10]. Therefore, the lowest dose investigation that meets clinical need should be used, particularly in patients where repeated exposures are required.

Densitometric vertebral fracture assessment (VFA) was first described by Genant in 2000 [11, 12]. There is a range of favourable VFA literature in adults [13–16], demonstrating sensitivity and specificity ranging from 62 to 97 % and 94 to 99 % respectively [14, 15, 17–22]. VFA is recommended as a complement to densitometry for improved clinical evaluation of asymptomatic VF in adults [23–25]. Although the importance of VF in the definition of osteoporosis in children is well established [26] and despite VFA being associated with lower radiation doses of 3–20 μSv [23, 27, 28] compared to 600–3000 μSv for radiographs [23, 27, 28], there are no recommendations for VFA in children. Generally, children with suspected reduced bone mineral density (BMD) have dual energy x-ray absorptiometry (DXA) to assess BMD and radiographs to identify vertebral fractures (VF), leading to significant lifetime cumulative radiation dose.

The aim of this study was to determine whether DXA, specifically iDXA (GE Healthcare Lunar iDXA, Buckinghamshire, UK), can replace radiographs for diagnosis of VF in children with suspected reduced BMD either with primary osteoporosis such as osteogenesis imperfecta or with secondary osteoporosis such as those treated with steroids or who have leukaemia.

Methods

The study was funded by the National Institute for Health Research “Research for Patient Benefit Programme” (Reference PB-PG-0110-21240). Local ethics committee and Research and Development approval (Reference 11/YH/0292) and patient/guardian assent/consent were obtained.

Two hundred and fifty patients aged 5 years to 15 years (inclusive) were recruited between November 2011 and February 2014 from two tertiary paediatric centres; 200 with suspected reduced BMD attending the metabolic bone clinic for iDXA and lateral spine radiographs and 50 attending spine clinic requiring lateral spine radiographs as part of routine care who were consented for an additional lateral iDXA. Participants were only recruited into the study once (Fig. 1).

Fig. 1.

Fig. 1

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Flow chart demonstrating patient recruitment process from metabolic bone and spine clinics

One hundred and fifty one patients were recruited prospectively and 99 retrospectively (33 from our centre, 66 from Birmingham Children’s Hospital - BCH).

Assuming (1) the true VF rate is 30 % and (2) 80 % sensitivity/specificity for the tests, then recruiting 250 patients (75 with VF), we can estimate sensitivity/specificity of DXA (±9 %) and radiography (±6 %) with 95 % confidence.

iDXA was performed according to published recommendations [29]. Radiographs were obtained on one of two local machines (TH3 Digital or TH Bucky Diagnost, Phillips, Guildford UK) or one of two machines at BCH (Luminus DRF, Siemens, Camberley UK, or CPI Wolverson Acroma unit, Willenhall UK) adhering to the European guidelines for spine radiographs in children [30]. Depending on patient size, single thoracolumbar or separate thoracic and lumbar exposures were taken. Radiographs were obtained in the lateral decubitus position for patients with suspected reduced BMD and in a standing lateral position for spine clinic patients. Average exposures were 73 kV, 82 kV and 103 kV for thoracic, lumbar and thoracolumbar radiographs respectively. Detector focus distance was 100 cm for decubitus and 210 cm for standing spine radiographs.

iDXA and radiographs for each patient were acquired on the same day.

Blinded to clinical information and corresponding results of the other modality, three consultant paediatric musculoskeletal radiologists (PB, IL, ACO), each with minimum 10 years’ experience, independently scored anonymised images in random order, for (1) presence of fractures and (2) image quality according to modified European criteria [30]. A hundred randomly selected pairs of images were read a second time. A final consensus read of all 250 radiographs acted as reference standard. Quantitative measurements using workstation measurement tools only took place at the reader’s discretion. The vertebrae were graded for fracture from 0 to 4 according to the simplified algorithm-based qualitative score (which is a modification of the Ferrar et al. algorithm-based qualitative vertebral fracture assessment technique [18]):

  • 0)

    Normal

  • 1)

    Fracture with 24 % or less height loss

  • 2)

    Fracture with 25 % or more height loss

  • 3)

    Non-osteoporotic deformity

  • 4)

    Uncertain or unable to determine due to quality [31].

Because only lateral images were assessed and for consistency of vertebral level assignment between observers, the first vertebral body not associated with ribs was always designated L1 and the lowermost vertebral body associated with ribs was designated T12. If T12 and L1 could not be identified (e.g. excessive coning), all vertebrae were scored unreadable.

A questionnaire (non-validated) was randomly administered to assess patient and carer experience.

Radiation dose was calculated using dose area product (DAP) for radiographs and recorded exposure factors, scan areas and entrance surface dose (ESD) for iDXA. Average DAP was calculated and used to estimate average ED using PCXMC 2.0 software for different age groups to estimate the relative risk of each modality. Average lifetime additional cancer risk was calculated using the Health Protection Agency’s proposed total lifetime cancer risk per unit of ED (percentage per Sievert) as a function of age at exposure and sex.

Statistical analysis was performed using R Software Version 3.0.2 for PC. Using the consensus radiographic read as reference standard, we calculated and compared the prevalence of VF (percentage patients identified with one or more VF and percentage VF from the total of 3250 vertebrae) and iDXA/radiograph sensitivity/specificity. Previously surveyed clinicians initiate treatment once there is vertebral body height loss of 25 % or more plus pain [31]; therefore, patients were classified into two groups: no treatment (no VF or VF with a height loss of less than 25 %, VF0/VF-25) and treatment (one or more VF with a height loss of equal to/more than 25 %, VF+25) groups. Unreadable vertebrae within these groups were included in statistical analyses. Kappa statistics were used to assess inter/intraobserver and intermodality agreement. Fleiss’ kappa was used to assess agreement between all three observers simultaneously. Paired samples Student’s t test was used to compare radiation doses of the two modalities.

Results

Demographics

Mean patient age was 11.5 years; 104 (42 %) were male; 142 (57 %) self-classified as Caucasian, 109 (44 %) had osteogenesis imperfecta (OI). The other 90 children with suspected reduction in BMD had various diagnoses including inflammatory bowel disease, rheumatological conditions, coeliac disease, cystic fibrosis and unexplained fractures. 37(74 %) of the 50 spine clinic patients attended for scoliosis.

Fracture characteristics/image analysis

Vertebral level

Of the 3250 vertebrae assessed, 364 (11 %) were fractured, with T7 being the most frequently fractured level (47/250, 19 %). Table 1 summarises fracture characteristics for the consensus and individual iDXA/radiograph reads.

Table 1.

Summary of fracture characteristics for the 250 individual and consensus reads

Reference Standard Consensus Radiograph Observer 1 Radiograph Observer 2 Radiograph Observer 3 Radiograph Observer 1 DXA Observer 2 DXA Observer 3 DXA
No. % No. % No. % No. %S No. % No. % No. %
Total number of fractures 364 11 283 9 406 12 734 23 220 7 264 8 880 27
Most fractured level T7(47) (19) T7(30) (11) L2(46) (11) T6(76) (10) T7, L3(24) (11) T7(31) (12) T7(93) (11)
Number of fractures involving both endplates 163 45 165a 58 351 86 231b 31 101 46 197 75 188 21
Number of fractures involving one endplate 201 55 116 a 41 55 14 502b 68 119 54 67 25 692 79
Number of fractures with height loss < 25 % 294 81 208 73 333 82 663 90 170 77 233 88 792 90
Number of patients with ≥ 1 fracture 90 36 78 31 95 38 159 64 71 28 82 33 176 70
Number of patients with ≥ 1 fracture and height loss < 25 % 87 35 73 29 92 37 156 62 66 26 80 32 171 68
Number of patients with ≥ 1 fracture and height loss ≥ 25 % 27 11 32 13 19 8 24 10 23 9 16 6 34 14
Number of patients with ≥ 1 fracture and both endplates affected 56 22 51 20 82 33 82 33 43 17 64 26 71 28
Number of patients with ≥ 1 fracture and one end plate affected 80 32 58 23 35 14 146 58 58 23 39 16 171 68
Number of unreadables 460 14 300 9 411 13 504 16 262 8 337 10 232 7
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atwo fractures were coded as having normal end plates; b one fracture had a missing (NA) endplate code

Figure 2 compares (a) iDXA to (b) radiography in a patient with OI; vertebrae T5 to T11 were independently identified by all observers on both iDXA and radiography as fractures with a height loss equal to or more than 25 %.

Fig. 2.

Fig. 2

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Lateral iDXA (a) and thoracic spine radiograph* (b) of patient 185, an 11-year-old female with osteogenesis imperfecta. Vertebrae T5 to T11 were independently identified by all observers on both iDXA and radiographic images as 2c fractures which translates to a height loss of more than or equal to 25 % (2), affecting both endplates (c). *The lumbar spine was included in the original radiographic examination, but for the illustrative purposes of this article, it has been omitted

Figure 3 compares (a) iDXA to (b, c) radiography in a patient with severe OI.

Fig. 3.

Fig. 3

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Lateral iDXA (a), thoracic spine radiograph (b) and lumbar spine radiograph (c) of patient 131, a 9-year-old female with osteogenesis imperfecta. The patient had severe multilevel fractures secondary to severe disease with resultant kyphoscoliosis degrading image quality on both iDXA and radiographs. On the consensus radiographic read T4 to T10 were graded as unreadable because of poor image quality

Image quality

A total of 460 (14 %) vertebrae were unreadable. Reasons included excessive coning either obscuring T12/L1 so that reliable vertebral levels could not be assigned or obscuring other vertebrae, poor image quality and patient positioning.

Of the 3250 vertebrae, the number unreadable on iDXA was 262 (8 %), 337 (10 %) and 232 (7 %) for radiologists 1, 2 and 3 respectively. The number for radiographs was 300 (9 %), 411 (13 %) and 504 (16 %). The percentage of unreadable images varied by vertebral level, image modality and observer. Overall, the level with the highest number of unreadable vertebrae was T4 (27.6 %); this was true for all three observers and both modalities. Similarly, overall, the levels with the lowest number of unreadable vertebrae were L1 to L3 (4.8 %) and this was generally true for all three observers and both modalities. Results for each level, observer and modality are summarised in Table 2.

Table 2.

Percentage of unreadable vertebral bodies for each vertebral level, image modality and observer

Consensus Observer 1 Observer 1 Observer 2 Observer 2 Observer 3 Observer 3
X-ray X-Ray DXA X-Ray DXA X-Ray DXA
Vertebra % unreadable % unreadable % unreadable % unreadable % unreadable % unreadable % unreadable No. of cases
T4 27.6 20.8 16.4 20.4 19.6 30.4 16.8 250
T5 24.8 18.4 13.2 19.2 16.4 28.8 10.8 250
T6 22.4 14.8 10.4 18.8 14.0 27.2 7.2 250
T7 21.2 12.8 8.4 17.6 12.0 25.6 7.2 250
T8 18.8 10.0 8.0 15.2 9.6 19.6 6.4 250
T9 14.8 9.2 6.8 14.0 10.4 16.4 6.0 250
T10 14.8 8.4 6.4 13.2 10.0 14.4 7.6 250
T11 11.2 8.0 7.2 12.0 10.0 12.0 6.4 250
T12 8.4 6.0 6.8 10.0 8.4 7.2 5.6 250
L1 4.8 3.2 5.6 6.4 6.0 5.6 4.4 250
L2 4.8 2.8 5.2 6.0 6.0 4.0 4.4 250
L3 4.8 2.8 5.2 5.6 6.4 4.4 4.8 250
L4 5.6 2.8 5.2 6.0 6.0 6.0 5.2 250
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Twenty-four patients had spinal rods in situ for scoliosis correction. There were on average less unreadable vertebrae for patients with spinal rods from iDXA (4, 7 and 4 for radiologists 1, 2 and 3 respectively) compared to radiographs (6, 8 and 7). The difference was statistically significant for radiologists 1 and 3 (p values 0.041 and 0.005 respectively).

Figure 4 compares (a) iDXA to (b) radiography in a postoperative scoliosis patient with spinal fixation; image quality with spinal rods in situ was degraded on radiographs from T4 to T6 but maintained on iDXA.

Fig. 4.

Fig. 4

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Lateral iDXA (a) and thoracic spine radiograph (b) of patient 80, a 14-year-old female with adolescent idiopathic scoliosis and previous spinal fixation. All observers independently scored vertebrae T4 to T6 as not fractured on iDXA. All observers were independently unable to score T4 to T6 on radiography because of poor image quality

Patient level

Overall, 90 (36 %) patients had one or more VF (vertebral height loss 10 % or more). A total of 181 (72 %) patients had valid consensus radiograph data allowing definitive categorisation into no treatment (VF0/VF-25) or treatment (VF+25) groups. The remaining 69 (28 %) had a combination of unreadable vertebrae and VF0 and were excluded from diagnostic accuracy calculations as a result of the inability to give a definitive diagnosis (some or all of the unreadable vertebrae may have had significant loss of height).

Table 3 summarises diagnostic accuracy. On a patient level, for the diagnosis of any grade VF, iDXA had average sensitivity and specificity across the three radiologists of 78 % (95 % confidence interval (CI) 57–99 %) and 72 % (95 % CI 46–99 %) respectively and radiographs 84 % (95 % CI 70–99 %) and 72 % (95 % CI 47–97 %). For the diagnosis of VF+25, iDXA had average sensitivity and specificity across the three radiologists of 70 % (95 % CI 58–82 %) and 97 % (95 % CI 94–100 %) respectively and radiographs 74 % (95 % CI 55–93 %) and 96 % (95 % CI 95–98 %).

Table 3.

Contingency table showing diagnostic accuracy of iDXA compared to reference standard

iDXA Radiograph
Any grade fracture Fracture height loss ≥25% Any grade fracture Fracture height loss ≥25%
Consensus Reference standards Radiograph Consensus Reference Standard Radiograph Consensus Reference Standard Radiograph Consensus Reference Standard Radiograph
Y N Total Y N Total Y N Total Y N Total
Observer 1 Y 52 12 64 Y 18 2 20 Y 59 14 73 Y 23 7 30
N 31 80 111 N 7 135 142 N 24 87 111 N 3 142 145
Total 83 92 175 Total 25 137 162 Total 83 101 184 Total 26 149 175
Sensitivity (95% CI) Specificity (95% CI) Sensitivity (95% CI) Specificity (95% CI) Sensitivity (95% CI) Specificity (95% CI) Sensitivity (95% CI) Specificity (95% CI)
63% (51–73) 87% (78–93) 72% (51–88) 99% (95–100) 71% (60–81) 86% (78–92) 88% (70–98) 95% (91–98)
Observer 2 Y 60 15 75 Y 14 2 16 Y 71 16 87 Y 15 3 18
N 23 84 107 N 10 138 148 N 13 83 96 N 12 144 156
Total 83 99 182 Total 24 140 164 Total 84 99 183 Total 27 147 174
Sensitivity (95% CI) Specificity (95% CI) Sensitivity (95% CI) Specificity (95% CI) Sensitivity (95% CI) Specificity (95% CI) Sensitivity (95% CI) Specificity (95% CI)
72% (61–82) 85% (76–96) 58% (37–78) 99% (95–100) 85% (75–91) 84% (75–90) 56% (35–75) 98% (94–100)
Observer 3 Y 87 54 141 Y 19 8 27 Y 83 47 130 Y 18 5 23
N 1 45 46 N 5 127 132 N 3 42 45 N 5 124 129
Total 88 99 187 Total 24 135 159 Total 86 89 175 Total 23 129 152
Sensitivity (95% CI) Specificity (95% CI) Sensitivity (95% CI) Specificity (95% CI) Sensitivity (95% CI) Specificity (95% CI) Sensitivity (95% CI) Specificity (95% CI)
99% (94–100) 45% (35–56) 79% (58–93) 94% (89–97) 97% (90–99) 47% (37–58) 78% (56–93) 96% (91–99)
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Table 4 summarises the inter- and intraobserver agreement for the three observers for DXA and radiographs.

Table 4.

Summary of observer agreements

Inter-observer agreement (n = 250)
DXA Radiographs
Kappa % agreement Kappa % agreement
Mean Min Max Mean Mean Min Max Mean
Fracture detection Observers 1 vs 2 0.50 0.35 0.60 91 0.46 0.32 0.59 77
1 vs 3 0.32 0.19 0.42 73 0.43 0.26 0.62 74
2 vs 3 0.37 0.30 0.47 74 0.39 0.26 0.60 72
Simultaneous agreement across 3 Fleiss’ Kappa % agreement Fleiss’ Kappa % agreement
observers 0.37 66 0.42 64
Kappa % agreement Kappa % agreement
Mean Min Max Mean Mean Min Max Mean
ABQ grading (1-4) Observers 1 vs 2 0.47 0.35 0.56 84 0.49 0.39 0.62 82
1 vs 3 0.30 0.19 0.40 70 0.34 0.27 0.41 70
2 vs 3 0.35 0.30 0.43 72 0.40 0.32 0.46 71
Simultaneous agreement across 3 Fleiss’ Kappa % agreement Fleiss’ Kappa % agreement
observers 0.351 64 0.400 62
Endplate assessment* Kappa % agreement Kappa % agreement
Mean Min Max Mean Mean Min Max Mean
Observers 1 vs 2 0.44 0.33 0.56 83 0.49 0.41 0.62 81
1 vs 3 0.29 0.16 0.38 69 0.33 0.25 0.62 69
2 vs 3 0.33 0.25 0.41 70 0.38 0.31 0.44 69
Simultaneous agreement across 3 Fleiss’ Kappa % agreement Fleiss’ Kappa % agreement
Observers 0.33 63 0.38 62
Intra-observer agreement (n = 100)
DXA Radiographs
Kappa % agreement Kappa % agreement
Mean Min Max Mean Mean Min Max Mean
Fracture detection Observers 1 0.61 0.53 0.71 89 0.69 0.59 0.84 89
2 0.69 0.58 0.78 89 0.68 0.57 0.80 84
3 0.59 0.49 0.69 79 0.49 0.33 0.66 73
All 0.63 0.49 0.78 86 0.62 0.33 0.84 82
Kappa % agreement Kappa % agreement
Mean Min Max Mean Mean Min Max Mean
ABQ grading (1-4) Observers 1 0.58 0.43 0.67 87 0.64 0.51 0.70 86
2 0.67 0.58 0.77 88 0.68 0.58 0.79 84
3 0.56 0.47 0.68 76 0.48 0.32 0.65 72
All 0.60 0.43 0.77 84 0.60 0.32 0.79 81
Kappa % agreement Kappa % agreement
Mean Min Max Mean Mean Min Max Mean
Endplate assessment* Observers 1 0.58 0.45 0.68 88 0.64 0.54 0.71 86
2 0.67 0.58 0.80 88 0.65 0.55 0.77 83
3 0.54 0.47 0.62 75 0.46 0.32 0.63 70
All 0.60 0.45 0.80 83 0.58 0.32 0.77 80
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*Missing values recorded as not applicable

Table 5 summarises intermodality agreement between the three observers for iDXA versus radiographs, iDXA versus consensus/reference standard radiograph and radiograph versus consensus/reference standard radiograph.

Table 5.

Summary of intermodality agreements

iDXA and radiographs (n = 250)
Kappa % agreement
Mean Min Max Mean
Fracture detection Observers 1 0.41 0.32 0.50 83
2 0.45 0.38 0.57 80
3 0.39 0.29 0.54 68
All 0.42 0.29 0.66 77
Kappa % agreement
Mean Min Max Mean
ABQ grading (1-4) Observers 1 0.37 0.31 0.46 81
2 0.43 0.35 0.55 79
3 0.38 0.29 0.50 67
All 0.39 0.29 0.55 75
Kappa % agreement
Mean Min Max Mean
Endplate assessment Observers 1 0.36 0.29 0.46 80
2 0.43 0.37 0.50 79
3 0.33 0.26 0.43 64
All 0.37 0.26 0.50 74
iDXA and consensus radiographs (n = 250)
Kappa % agreement
Mean Min Max Mean
Fracture detection Observers 1 0.32 0.21 0.45 76
2 0.39 0.33 0.44 78
3 0.34 0.23 0.51 69
All 0.35 0.21 0.51 74
Kappa % agreement
Mean Min Max Mean
ABQ grading (1-4) Observers 1 0.30 0.21 0.40 74
2 0.38 0.30 0.42 77
3 0.33 0.24 0.50 68
All 0.33 0.21 0.50 73
Kappa % agreement
Mean Min Max Mean
Endplate assessment Observers 1 0.28 0.18 0.41 74
2 0.36 0.29 0.44 76
3 0.31 0.23 0.47 67
All 0.32 0.18 0.47 72
Radiographs and consensus radiographs (n = 250)
Kappa % agreement
Mean Min Max Mean
Fracture detection Observers 1 0.55 0.39 0.61 84
2 0.55 0.45 0.63 82
3 0.46 0.38 0.58 75
All 0.52 0.38 0.63 81
Kappa % agreement
Mean Min Max Mean
ABQ grading (1-4) Observers 1 0.53 0.40 0.61 82
2 0.54 0.46 0.64 81
3 0.46 0.37 0.57 74
All 0.51 0.37 0.64 79
Kappa % agreement
Mean Min Max Mean
Endplate assessment Observers 1 0.51 0.40 0.59 82
2 0.50 0.39 0.60 79
3 0.43 0.37 0.53 72
All 0.48 0.37 0.60 78
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Radiation dose

A total of 144 patients had valid radiation dose data; 95 (66 %) were male, mean age was 11.8 years (5–15 years) and mean weight was 41.1 kg (14.3–87.5 kg). The mean DAP for iDXA was 18.0 μGy/m2 (SD 3.4) compared to 64.4 μGy/m2 (SD 76.7) for radiographs, a difference of 46.4 μGy/m2 (95 % CI 33.7–59.1), p < 0.001. Average age-adjusted ED for iDXA was 41.9 μSv compared to 232.7 μSv for radiographs.

The average lifetime additional cancer risk per lateral iDXA was calculated to be 0.001 % and 0.000 % for patients aged 5–10 and 10–15 years respectively for both sexes. Per lateral spine radiograph the additional lifetime cancer risk was 0.003 % for boys and 0.002 % for girls aged 5–15 years.

Patient experience

Eighty-five sets (85 %) of patient/carer questionnaires were returned. Of these, 77 (91 %) were completed by patient and carer, five (6 %) by the carer only and three (3 %) by the child only. Of the 82 carers that completed a questionnaire, 11 (13 %) thought their child had difficulty staying still whilst the radiographs were obtained compared to 8 (10 %) for iDXA (p = 0.549). Two (2 %) carers thought their children (aged 10.3 and 15.8 years) found the noise of the iDXA upsetting or frightening.

Eighty children (32 aged 5–11 years and 48 aged 12–15 years) completed questionnaires. Thirty-nine (49 %) preferred iDXA while 27 % (34 %) had no preference. Sixty-nine (86 %) did not find moving about the hospital for the different tests unacceptable.

There were no adverse effects of either iDXA or radiographs.

Discussion

This is the largest study to date assessing whether VFA can replace spine radiographs in children. Overall we found iDXA had similar sensitivity and specificity to radiography and good intraobserver agreement, on average higher than the intraobserver agreement of radiography. A similar study of VFA in children concluded that its utility was limited by compromised visibility and poor diagnostic accuracy [27]. However, those results were based on older DXA technology (Hologic Densitometer), a relatively small sample size (n = 65) and acquisition of DXA and radiographic images not on the same day but within 6 months of each other. A more recent comparative study using newer DXA technology (Hologic Discovery A Densitometer) reported sensitivity (96 %) and specificity (100 %) on a patient level (some vertebrae were excluded from analysis because of poor visibility) [32]. Another recent study of VFA in 165 children and adolescents compared 20 of the subjects’ VFA with lateral spine radiographs (obtained within 2 months of each other), reporting sensitivity of 83 % and specificity of 100 % for VFA [33]. This study did not assess T4 or T5 and again excluded unreadable vertebrae from statistical analyses [33]. Diagnostic accuracy of both studies [32, 33] was higher than ours for both DXA and radiographs; inclusion of poorly visualised vertebrae in our statistical analyses may be seen either as a weakness or strength. Whilst diagnostic accuracy will have been improved had we excluded all poor quality images, the data as presented demonstrates the worst-case scenario.

Our results indicate that iDXA had a (statistically insignificant) lower unreadable rate than radiographs (up to 16 % for both). These rates are similar to previous studies performed on adult (DXA and radiographs) [13, 14] and paediatric (radiographs) [34] populations. However iDXA had a (statistically significant) better image quality than radiographs when spinal rods were in situ.

DAP was chosen to estimate radiation dose because accurate ESD measurements using thermoluminescent dosimeters are challenging at low doses and more labour intensive. The radiographic systems had DAP meters installed and the iDXA system recorded scan area, offering simple methods for estimating doses in a large number of patients by only requiring the periodic measurement of ESD to ensure stability. Commonly published DXA doses relate to post-menopausal women over the age of 60 and reference dose data from 2006 [2]; the lifetime risk of fatal cancer in children is approximately four to five times [5] higher than this adult group. Published differences in radiation dose for radiographs and VFA (200:1) are higher than the differences shown by our study (5.5:1) [23, 27, 28]; however, published data commonly relates to standard DXA spine scans (ca. 10 cm × 20 cm) with a scan area of ca. 200 cm2, whereas the scans performed in this study had an average area of ca. 700 cm2, replicating conventional film coverage. This accounts for an estimated 3.5-fold increase in estimated ED. Our average ESD measurement of 235 μGy2 is similar to the published values of up to 352 μGy2 for a different manufacturer’s scanner (Hologic QDR 4500-A) [2]. The remainder of the difference is likely due to newer digital radiographic technology with significantly lower doses compared to previous non-digital technologies. Even though dose reduction was lower than expected (demonstrating the benefit of optimised exposures delivered by dedicated paediatric radiology departments), an average annual ED reduction of 232.7 μSv per patient amounts to a considerable childhood/lifetime cumulative dose reduction, particularly given the comparable diagnostic accuracy and patient/carer acceptability of VFA. Based on average dose calculations from our cohort of patients, for a female, estimated cumulative ED of at least 2097 μSv from an annual spine radiograph between the ages of 5 and 15 years would give an additional lifetime cancer risk of 0.022 % (1 in 4545). For a male, estimated cumulative ED would be 2930 μSv with an additional lifetime cancer risk of at least 0.033 % (1 in 3030). Although the overall risk per patient is low, total numbers of patients are relatively high and it is an avoidable risk without compromising diagnostic information.

If conventional radiography is required as a baseline to assess spinal deformity, such as scoliosis or kyphosis in this select group of patients with suspected reduction in BMD, then the use of EOS® for full standing radiographs of the spine is an alternative method of reducing cumulative radiation dose [35]. The limiting factor for the use of this alternative low dose technique is its availability. EOS systems are more expensive than conventional radiographic equipment and estimates of patient throughput at national level suggest that EOS is not cost-effective [36]. Therefore, the National Institute for Health and Care Excellence (NICE) does not currently recommend the routine use of EOS in the National Health Service (NHS) [37]. Although EOS produces images of equal or better quality than radiographs at doses comparable to DXA, it does not mitigate the need for BMD assessment and therefore a test that can simultaneously assess both in those children who do not have scoliosis/kyphosis is preferable.

The major limitations of this study (and others of diagnostic accuracy) relate to the lack of an objective gold standard. Firstly, because there is no agreed standardised objective method for the diagnosis of VF, we cannot be certain which prevalent fractures were truly fractures. We used the consensus radiographic read of three experienced observers as reference standard. Radiographic cone beam technology has the disadvantage of producing divergent x-ray beams causing parallax and distorting the shape of the vertebrae at the extremities of the radiograph. Conversely, the fan beam technology in DXA is perpendicular to each vertebral body as the source travels down the spinal column [27]. The parallax effect seen in radiographs may affect diagnostic accuracy, particularly for subtle fractures or normal physiological change in vertebral body shape and height. It is possible that mild fractures were over-called on radiographs rather than missed on iDXA. We accept that our selected reference standard may be imperfect, but it is at least as reliable as standards used in daily practice and is expected to be reliable for those vertebral fractures that would merit treatment (height loss greater than 25 %).

Secondly, the higher intermodality agreement of individual radiograph compared to individual iDXA reads is in part to be expected, because for individual and consensus radiographs we were scoring not only the same modality but also the same images. Despite this advantage, radiographs did not significantly outperform iDXA.

Thirdly, disadvantages of consensus scoring in general are well documented [38] and applicable to this study; however, inter- and intraobserver agreement for individual reads was similar for both iDXA and radiographs. Therefore, for any individual radiologist, clinical opinion and hence patient management would be the same irrespective of whether diagnosis of VF was made from DXA or from radiographs.

Finally, the use of conventional statistical methods for studies of diagnostic accuracy for which there is no gold standard has been questioned and more appropriate methodology suggested [39]. An interesting future study would be to apply some of these methodologies (e.g. latent class analysis) to our raw data.

In conclusion, diagnostic accuracy of iDXA and radiographs for the detection of VF in children are comparable; parents had no strong preference for either modality, whilst the majority of children either preferred iDXA or had no preference. Incidentally we demonstrated improved image quality of iDXA for scoliosis patients with in situ spinal rods. A single iDXA scan provides an average annual effective dose reduction of at least 232.7 μSv per patient. Given the large numbers of children at risk of VF (skeletal dysplasias, steroid therapy, anticancer treatment etc.) this amounts to considerable childhood and population lifetime cumulative dose reductions. In accordance with the principles of “as low as reasonably achievable” [40] and “image gently” [41], we believe that in children with suspected reduced BMD, either with primary osteoporosis such as osteogenesis imperfecta or with secondary osteoporosis such as those treated with steroids or who have leukaemia, DXA (using modern scanners) should replace conventional radiographs for the diagnosis of VF.

Acknowledgments

The views expressed are those of the authors and not necessarily those of the National Health Service (NHS), the National Institute for Health Research (NIHR) or the Department of Health.

The authors wish to thank Sheffield Children’s Hospital radiographers, in particular Elzene Kruger and Julie Barnsley. The authors also express their gratitude to Nicola Crabtree, Beverly Naylor and Helen Webb.

The scientific guarantor of this publication is Dr Amaka C Offiah. ACO declares relationships with the following companies: BioMarin, InfoMed and Alexion (receipt of honoraria for lectures, advisory board work and/or on-line teaching material). BioClinica (previously interpreted spine radiographs for this company based on the Genant technique). NJB declares relationships with the following companies over the last 36 months: Alexion, Amgen, Merck (grants for clinical research); Alexion, Amgen (honoraria for speaking at meetings); Internis, Ultragenyx, Alexion (payments for advisory board work); Amgen, UCB (payment for consulting). The remaining authors of this manuscript declare no relationships with any companies whose products or services may be related to the subject matter of the article. This study has received funding from National Institute for Health Research, Research for Patient Benefit (NIHR RfPB) Reference PB-PG-0110-21240. Two of the authors (AA and SW) have significant statistical expertise. Research ethics committee (institutional review board) approval was obtained. Written informed consent was obtained from all subjects (patients) in this study.

Some study subjects or cohorts have been previously reported in “Diagnosis of vertebral fractures in children: is a simplified algorithm-based qualitative technique reliable?” by Adiotomre E, Summers L, Allison A et al. (2016) Pediatr Radiol. doi:10.1007/s00247-015-3537-z.

Methodology: prospective, cross-sectional study/diagnostic study, performed at two institutions.

Abbreviations and acronyms

BMD

bone mineral density

DAP

dose area product

DXA

dual energy x-ray absorptiometry

ED

effective dose

ESD

entrance surface dose

OI

osteogenesis imperfecta

sABQ

simplified algorithm-based qualitative

VF

vertebral fracture(s)

VFA

densitometric vertebral fracture assessment

References

  • 1.Rajaraman P, Simpson J, Neta G, et al. Early life exposure to diagnostic radiation and ultrasound scans and risk of childhood cancer: case-control study. Br Med J. 2011;342:d472. doi: 10.1136/bmj.d472. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Blake GM, Naeem M, Boutros M. Comparison of effective dose to children and adults from dual X-ray absorptiometry examinations. Bone. 2006;38:935–942. doi: 10.1016/j.bone.2005.11.007. [DOI] [PubMed] [Google Scholar]
  • 3.Mathews JD, Forsythe AV, Brady Z, et al. Cancer risk in 680,000 people exposed to computed tomography scans in childhood or adolescence: data linkage study of 11 million Australians. Br Med J. 2013;346:f2360. doi: 10.1136/bmj.f2360. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Bajaj M, Offiah AC. Imaging in suspected child abuse: necessity or radiation hazard? Arch Dis Child. 2015;100:1163–1168. doi: 10.1136/archdischild-2015-308418. [DOI] [PubMed] [Google Scholar]
  • 5.Wall BF, Haylock R, Jansen JTM, Hillier MC, Hart D, Shrimpton PC (2011) Radiation risks from medical x-ray examinations as a function of the age and sex of the patient. Health Protection Agency. Centre for Radiation, Chemical land Environmental Hazards. HPA-CRCE-028 https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/340147/HPA-CRCE-028_for_website.pdf. Accessed 23 Jan 2016
  • 6.Ozasa K, Shimizu Y, Suyama A, et al. Studies of the mortality of atomic bomb survivors, Report 14, 1950-2003: an overview of cancer and noncancer diseases. Radiat Res. 2012;177:229–243. doi: 10.1667/RR2629.1. [DOI] [PubMed] [Google Scholar]
  • 7.Ronckers CM, Doody MM, Lonstein JE, Stovall M, Land CE. Multiple diagnostic X-rays for spine deformities and risk of breast cancer. Cancer Epidemiol Biomarkers Prev. 2008;17:605–613. doi: 10.1158/1055-9965.EPI-07-2628. [DOI] [PubMed] [Google Scholar]
  • 8.Boice JD, Jr, Preston D, Davis FG, Monson RR. Frequent chest X-ray fluoroscopy and breast cancer incidence among tuberculosis patients in Massachusetts. Radiat Res. 1991;125:214–222. doi: 10.2307/3577890. [DOI] [PubMed] [Google Scholar]
  • 9.US National Academy of Sciences. National Research Council. Committee to Assess Health Risks from Exposure to Low Levels of Ionizing Radiation Health Risks from Exposure to Low Levels of Ionizing Radiation. BEIR VII Phase 2. Washington DC: National Academies Press, 2006. http://dels.nas.edu/resources/static-assets/materials-based-on-reports/reports-in-brief/beir_vii_final.pdf. Accessed 23 Jan 2016
  • 10.Van Aalst J, Jeukens CR, Vles JS, et al. Diagnostic radiation exposure in children with spinal dysraphism: an estimation of the cumulative effective dose in a cohort of 135 children from the Netherlands. Arch Dis Child. 2013;98:680–685. doi: 10.1136/archdischild-2012-303621. [DOI] [PubMed] [Google Scholar]
  • 11.Genant HK, Li J, Wu CY, Shepherd JA. Vertebral fractures in osteoporosis: a new method for clinical assessment. J Clin Densitom. 2000;3:281–290. doi: 10.1385/JCD:3:3:281. [DOI] [PubMed] [Google Scholar]
  • 12.Lewiecki EM, Laster AJ. Clinical review: clinical applications of vertebral fracture assessment by dual-energy x-ray absorptiometry. J Clin Endocrinol Metab. 2006;91:4215–4222. doi: 10.1210/jc.2006-1178. [DOI] [PubMed] [Google Scholar]
  • 13.Buehring B, Krueger D, Checovich M, et al. Vertebral fracture assessment: impact of instrument and reader. Osteoporos Int. 2010;21:487–494. doi: 10.1007/s00198-009-0972-4. [DOI] [PubMed] [Google Scholar]
  • 14.Hospers IC, van der Laan JG, Zeebregts CJ, et al. Vertebral fracture assessment in supine position: comparison by using conventional semiquantitative radiography and visual radiography. Radiology. 2009;251:822–828. doi: 10.1148/radiol.2513080887. [DOI] [PubMed] [Google Scholar]
  • 15.Schousboe JT, Debold CR. Reliability and accuracy of vertebral fracture assessment with densitometry compared to radiography in clinical practice. Osteoporos Int. 2006;17:281–289. doi: 10.1007/s00198-005-2010-5. [DOI] [PubMed] [Google Scholar]
  • 16.Binkley N, Krueger D, Gangnon R, Genant HK, Drezner MK. Lateral vertebral assessment: a valuable technique to detect clinically significant vertebral fractures. Osteoporos Int. 2005;16:1513–1518. doi: 10.1007/s00198-005-1891-7. [DOI] [PubMed] [Google Scholar]
  • 17.Rea JA, Chen MB, Li J, et al. Morphometric X-ray absorptiometry and morphometric radiography of the spine: a comparison of prevalent vertebral deformity identification. J Bone Miner Res. 2000;15:564–574. doi: 10.1359/jbmr.2000.15.3.564. [DOI] [PubMed] [Google Scholar]
  • 18.Ferrar L, Jiang G, Eastell R, Peel NF. Visual identification of vertebral fractures in osteoporosis using morphometric X-ray absorptiometry. J Bone Miner Res. 2003;18:933–938. doi: 10.1359/jbmr.2003.18.5.933. [DOI] [PubMed] [Google Scholar]
  • 19.Vokes TJ, Dixon LB, Favus MJ. Clinical utility of dual-energy vertebral assessment (DVA) Osteoporos Int. 2003;14:871–878. doi: 10.1007/s00198-003-1461-9. [DOI] [PubMed] [Google Scholar]
  • 20.Pavlov L, Gamble GD, Reid IR. Comparison of dual-energy X-ray absorptiometry and conventional radiography for the detection of vertebral fractures. J Clin Densitom. 2005;8:379–385. doi: 10.1385/JCD:8:4:379. [DOI] [PubMed] [Google Scholar]
  • 21.Fuerst T, Wu C, Genant HK, et al. Evaluation of vertebral fracture assessment by dual X-ray absorptiometry in a multicenter setting. Osteoporos Int. 2009;20:1199–1205. doi: 10.1007/s00198-008-0806-9. [DOI] [PubMed] [Google Scholar]
  • 22.Diacinti D, Del Fiacco R, Pisani D, et al. Diagnostic performance of vertebral fracture assessment by the lunar iDXA scanner compared to conventional radiography. Calcif Tissue Int. 2012;91:335–342. doi: 10.1007/s00223-012-9643-0. [DOI] [PubMed] [Google Scholar]
  • 23.Jager PL, Jonkman S, Koolhaas W, Stiekema A, Wolffenbuttel BH, Slart RH. Combined vertebral fracture assessment and bone mineral density measurement: a new standard in the diagnosis of osteoporosis in academic populations. Osteoporos Int. 2011;22:1059–1068. doi: 10.1007/s00198-010-1293-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Damiano J, Kolta S, Porcher R, Tournoux C, Dougados M, Roux C. Diagnosis of vertebral fractures by vertebral fracture assessment. J Clin Densitom. 2006;9:66–71. doi: 10.1016/j.jocd.2005.11.002. [DOI] [PubMed] [Google Scholar]
  • 25.Schousboe JT, Shepherd JA, Bilezikian JP, Baim S. Executive summary of the 2013 ISCD position development conference on bone densitometry. J Clin Densitom. 2013;16:455–467. doi: 10.1016/j.jocd.2013.08.004. [DOI] [PubMed] [Google Scholar]
  • 26.Bishop N, Arundel P, Clark E, et al. Fracture prediction and the definition of osteoporosis in children and adolescents: the ISCD 2013 pediatric official positions. J Clin Densitom. 2014;17:275–280. doi: 10.1016/j.jocd.2014.01.004. [DOI] [PubMed] [Google Scholar]
  • 27.Mäyränpää MK, Helenius I, Valta H, Mäyränpää MI, Toiviainen-Salo S, Mäkitie O. Bone densitometry in the diagnosis of vertebral fractures in children: accuracy of vertebral fracture assessment. Bone. 2007;41:353–359. doi: 10.1016/j.bone.2007.05.012. [DOI] [PubMed] [Google Scholar]
  • 28.Vokes T, Bachman D, Baim S. Vertebral fracture assessment: the 2005 ISCD Official Positions. J Clin Densitom. 2006;9:37–46. doi: 10.1016/j.jocd.2006.05.006. [DOI] [PubMed] [Google Scholar]
  • 29.Lentle BS, Brown JP, Khan A, et al. Recognizing and reporting vertebral fractures: reducing the risk of future osteoporotic fractures. Can Assoc Radiol J. 2007;58:27–36. [PubMed] [Google Scholar]
  • 30.European guidelines on quality criteria for diagnostic radiographic images in paediatrics. EUR 16261 Luxembourg: European Commission 1996. ftp://ftp.cordis.europa.eu/pub/fp5-euratom/docs/eur16261.pdf. Accessed 23 Jan 2016
  • 31.Adiotomre E, Summers L, Allison A, et al. Diagnosis of vertebral fractures in children: is a simplified algorithm-based qualitative technique reliable? Pediatr Radiol. 2016 doi: 10.1007/s00247-015-3537-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Diacinti D, Pisani D, D'Avanzo M, et al. Reliability of vertebral fractures assessment (VFA) in children with osteogenesis imperfecta. Calcif Tissue Int. 2015;96:307–312. doi: 10.1007/s00223-015-9960-1. [DOI] [PubMed] [Google Scholar]
  • 33.Kyriakou A, Shepherd S, Mason A, Faisal Ahmed S. A critical appraisal of vertebral fracture assessment in paediatrics. Bone. 2015;81:255–259. doi: 10.1016/j.bone.2015.07.032. [DOI] [PubMed] [Google Scholar]
  • 34.Siminoski K, Lentle B, Matzinger A, Shenouda N, Ward L. The Canadian STOPP Consortium. Observer agreement in pediatric semiquantitative vertebral fracture diagnosis. Pediatr Radiol. 2014;44:457–466. doi: 10.1007/s00247-013-2837-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Melhem E, Assi A, El Rachkidi R, Ghanem I. EOS(®) biplanar X-ray imaging: concept, developments, benefits, and limitations. J Child Orthop. 2016;10:1–14. doi: 10.1007/s11832-016-0713-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.McKenna C, et al. EOS 2D/3D X-ray imaging system: a systematic review and economic evaluation. Health Technol Assess. 2012;16:1–188. doi: 10.3310/hta16140. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.NICE diagnostics guidance [DG1]. The EOS 2D/3D imaging system. October 2011. https://www.nice.org.uk/guidance/dg1/resources/the-eos-2d3d-imaging-system-29267263429. Accessed 03 July 2016
  • 38.Bankler AA, Levine D, Halpem EF, Kressel HY. Consensus interpretation in imaging research: Is there a better way? Radiology. 2010;257:14–17. doi: 10.1148/radiol.10100252. [DOI] [PubMed] [Google Scholar]
  • 39.Rutjes AWA, Reitsma JB, Coomarsamy A, Khan KS, Bossuyt PM. Evaluation of diagnostic tests when there is no gold standard. A review of methods. Health Technol Assess. 2007;11:9–51. doi: 10.3310/hta11500. [DOI] [PubMed] [Google Scholar]
  • 40.Ionising Radiation (Medical Exposure) Regulations 2000 (IRMER). Department of Health. September 2012 www.gov.uk/government/uploads/system/uploads/attachment_data/file/227075/IRMER_regulations_2000.pdf. Accessed 23 Jan 2016
  • 41.The Alliance for Radiation Safety in Pediatric Imaging, Image Gently http://www.imagegently.org. Accessed 15 Mar 2016

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