|
E. A. Messent1,
J. C. Buckland-Wright1 and G. M. Blake2
|
(1)
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Department of Applied Clinical Anatomy, King’s College London, School
of Biomedical Sciences, Guy’s Hospital Campus, London,
UK
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|
(2)
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Department of Nuclear Medicine, Guy’s & St Thomas’ Hospitals, London,
UK
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Received: 2 August 2004 Accepted:
19 November 2004 Published online:
21 April 2005
Abstract The purpose of this study
was to determine whether fractal analysis (FSA) of macroradiographs
or bone mineral density (BMD) is more sensitive in detecting
disease-related cancellous bone alterations in knee osteoarthritis
(OA). Differences in BMD between 11 OA (6 females) and 11
non-OA reference (7 females) tibiae were compared with differences
in trabecular organization measured by computerized method
of fractal signature analysis (FSA) of digitized macroradiographs
(×3.5 to ×5). OA knees had anatomic and radiographic evidence
of medial compartment disease. FSA measured cancellous bone
organization at 4 regions of interest (ROI): medial and lateral
subchondral (Sc) and subarticular (Sa) sites, dual X-ray absorptiometry
(DXA) measured BMD at the same ROIs. Compared to non-OA, OA
tibiae had significant increased (P < 0.05) in FSA
of vertical trabeculae in the medial Sa region (trabecular
size range: 0.42–0.54; 0.90–1.98 mm) and significant decrease
(P < 0.05) in FSA for some horizontal trabeculae
in the Sc region (trabecular size range: medial side 0.12–0.18
mm; lateral side 0.12–0.24 mm). Compared to non-OA, BMD of
OA tibiae was not significantly different at any ROI. BMD
was not sensitive to changes in trabecular organization detected
by FSA. The increase in FSA of vertical trabeculae in the
medial Sa region was consistent with trabecular fenestration
and thinning, which may have been detected as decreased BMD
in a larger sample. For studies involving small sample sizes,
quantifying changes in trabecular organization is more sensitive
than BMD for detecting bone alterations in knee OA.
Keywords Knee osteoarthritis - Trabecular
bone - Fractal analysis - BMD
Subchondral bone remodelling plays an
integral role in the development of knee OA, as confirmed
by animal models [1] and patient studies [2] in which thickening of the subchondral cortical
plate was reported to occur prior to cartilage destruction.
Subjacent to the thickened cortical plate, studies have reported
hypomineralization of trabecular bone [3, 4]. This osteoporosis is possibly linked to abnormal
bone cell behavior in OA joints, reported as imbalances in
bone resorption, formation or both [5]. Recent studies have confirmed that increased
bone resorption plays an integral role in the disease process,
with increased levels of bone resorption markers reported
in patients with radiolographic evidence of knee OA, including
type I collagen [6], osteocalcin [7] and deoxypryidinoline [8]. In addition to bone being lost locally within
the diseased joint, altered bone tissue contents has been
reported in OA patients at sites distant from weight-bearing
joints [9], including a study that demonstrated low BMD
at the hip to be weakly correlated with OA knee progression
[10].
Differences in tibial cancellous bone
between patients with and without knee OA have been quantified
using magnetic resonance imaging [11, 12], scintigraphy [13], dual energy X-ray absorptiometry [3, 14], and fractal analysis [15, 16]. These techniques quantify different bone
parameters, such as structural organization [11, 12, 15], rate of turnover [13] and mineral density [3, 14]. A greater understanding of bone quality
is achieved if data from two or more of these methods is acquired.
For example, studies have shown that combining the fractal
dimension and BMD data resulted in greater correlation with
the biomechanical properties of the bone sample than when
just one of these data sets was used [17–20]. Analyzed separately, fractal dimension of
vertebral bone has been shown to be a better indicator of
mechanical strength than BMD [21, 22]. However, we are not aware of any studies
that have compared fractal analysis with BMD data from osteoarthritic
and healthy bone specimens in order to determine which technique
is more sensitive in detecting disease-related bone alterations.
Macroradiography, with its unusually
good resolution, demonstrates the fine detailed structural
organization of cancellous bone and this can be quantified
by FSA. Structures within the tibia are more readily studied
than those in the femur due to reproducible positioning of
the former. Fractal analysis measures the degree of ‘roughness’
and ‘complexity’ of structures within an image, and also quantifies
the change in ‘roughness’ with alterations in spatial scale
[23]. Self-similar images (looking the same at
all magnifications) [24] are said to be ‘fractal’ and have a fractal
dimension (FD) associated with them, with a value between
two and three for a surface [23]. When the pattern of a structure has altered
at a particular size or sizes so as to be no longer self-similar,
the ‘fractal signature’ of its image quantifies the alteration
in the fractal dimension of the structure, and the size(s)
at which those changes have occurred [25]. The fractal dimension, and similarly the
fractal signature, has no units since it is calculated from
the ratio of two areas [23]. The fractal dimension of cancellous bone
assesses the composite nature of the tissue, which is determined
principally by trabecular number, spacing and cross-connectivity
[26]. Unlike other methods that calculate a mean
fractal dimension from the overall appearance of cancellous
bone [27], the FSA techniques measures the fractal
dimension separately for vertical and horizontal trabeculae
over a range of scales corresponding to a range of trabecular
widths, identified as the ‘fractal signature’ [28]. A previous paper provides evidence of the
robustness and applications of the technique [16].
Here, we obtained BMD and FSA measurements
of the same regions of interest (ROI) within the proximal
tibia of post-mortem knees with and without evidence of medial
compartment knee OA in order to determine which technique
is more sensitive in detecting OA-related bone differences.
Materials and Methods
Following Medical School authorization,
permission was granted to image the following postmortem specimens;
twenty-two knee joints from 19 cadavers. These were cleaned
of surrounding soft tissue. Eleven (6 Females, mean (SD) age
89.9 (7.2)) were chosen because of evidence of medial compartment
OA, including the presence of medial and/or lateral marginal
osteophytes and/or substantially greater eburnated bone and
damaged cartilage on the articular surfaces of the medial
compartment of the tibia or femur compared to the lateral
compartment. The remaining eleven (7 Females, mean (SD) age
71.2 (9.6)) were anatomically normal, with no evidence of
osteophytosis, eburnation or cartilage damage upon visual
inspection. Macroradiography confirmed that all knees selected
for the non arthritic reference group had no evidence of OA
and that those selected for the OA group had an osteophyte
on either the medial or lateral tibial compartments.
Macroradiographs and Digitization of Macroradiographs
High-definition posteroanterior macroradiographs
[29, 30] of the 22 tibiae were obtained at magnifications
between ×3.5 and ×5 in the equivalent of the standing semi-flexed
view [31]. Spatial resolution was between 25 and 50
μm [30]. The tibial shaft was positioned in a clamp
so that the articular surface was horizontal relative to the
floor, parallel to the central x-ray beam and perpendicular
to the x-ray film. Correct positioning was confirmed using
fluoroscopy. Radiographic magnification was determined from
automated measurement of a metal ball (5-mm diameter) which
was taped to the anterior surface of the proximal tibia. The
joint was positioned with a film-to-object distance of 30
cm and a film-to-focus distance of 136 cm, resulting in radiographic
magnification of between ×3.5 and ×5.
All macroradiographs were digitized using
the high resolution Lumysis 200HR laser film digitizer (Lumysis,
Sunny Vale, CA) at a pixel resolution of 60× by 60 μm (after
correction for magnification) and the images were stored and
analyzed with a Sun Sparcstation, model 20/61 (Sun Microsystems
Ltd), and programs written in C++ were used to calculate the
fractal signature of regions of interest within the images
in Mdisplay.
Regions of Interest
Separate regions of interest
(ROI) were identified for the assessment of trabecular bone
structure consisting of the subchondral (Sc) and subarticular
(Sa) regions within the medial (M) and lateral (L) compartments
(Fig. 1). To account for variation in tibial size between
patients, ROI width measured 3/4 of
tibial compartment width measured from a vertical line projected
down from either the medial or lateral tibial spine to the
outer tibial margin. The outer 1/4 of
the width of the tibial compartment was not included for analysis
due to the presence of periarticular osteopenia adjacent to
marginal osteophyte formation [33]. The height of each ROI measured 100 pixels
(6 mm). The Sc ROI commenced immediately beneath the inferior
border of the medial or lateral cortical plates (Fig. 1), drawn onto the image by an automated ridge-tracing
function in Mdisplay (Fig. 1). The Sa region commenced immediately below the
inferior border of the Sc ROI.
Figure 1 Macroradiograph (×4) of a right proximal
postmortem tibia showing placement of the medial (M) and lateral
(L) subchondral (Sc) and subarticular (Sa) regions for FSA.
Diameter of ball-bearing = 5 mm.
Measurement of Subchondral and Subarticular Cancellous Bone
Fractal analysis is a robust method [28, 34] that is independent of a range of factors
that may vary during routine radiographic procedure, such
as the effect of radiographic magnification and projection
geometry [28, 34, 35] changes in object or patient positioning
[23, 26, 28, 34–36] and variations in the sensitometric properties
of radiographs such as film contrast and mean density [28, 34, 35]. FSA of vertical and horizontal trabecular
structures for each ROI quantified trabecular structures ranging
from 0.12 mm to 1.14 mm in increments of one pixel (0.06 mm).
This range of sizes was chosen because trabecular thicknesses
in the proximal tibia have been shown to fall within this
range [37, 38]. The coefficient of variation for test re-test
for FSA measurements was calculated as 1.8%.
Measurement of Subchondral Bone Mineral Density (BMD)
BMD of the four ROIs corresponding
in size and position to those selected for FSA was quantified
using the Hologic QDR4500 (Bedford, Massachusetts, USA) at
the osteoporosis unit of Guy’s Hospital. Each tibia was positioned
horizontally on the central region of the examination table,
with the shaft parallel to the long axis of the table. The
shaft of the tibia was supported by malleable dough such that
the posterior and anterior lips of the articular surface of
the medial tibial compartment aligned with each other in the
vertical plane, perpendicular to the surface of the table
and parallel to the X-ray beam. A soft-tissue substitute of
16 cm of water was used to eliminate the non-linearity in
the BMD scale due to beam hardening. ROI placement was determined
from the bone scan image (Fig. 2) using the manufacturer’s subregions software.
BMD (g/cm2) for each ROI was computed. The precision
error, based on repeat measures, was 2.5%.
Figure 2 A DEXA scan image of a right proximal
postmortem tibia. BMD values were obtained from regions R1–R4.
(R1 = M-Sc, R2 = M-Sa, R3 = L-Sc, R4 = L-Sa regions).
Statistical Analysis and Presentation of Data
Differences in the vertical
and horizontal trabecular structures between the OA group
and non-arthritic reference group were determined using 95%
confidence intervals (CI) and the unpaired t-test.
To simplify graphical presentation, the mean fractal signature
for the ‘OA’ group was subtracted from that of the non-arthritic
reference group (Fig. 3). Each graph presented the differences in fractal
signature for the range of trabecular sizes from 0.12 mm to
1.14 mm. Data points below the abscissa corresponded to a
decrease in complexity of the image texture (reduction in
the FD), associated with a decrease in trabecular number,
whereas those above the abscissa corresponded to an increase
in complexity (increase in the FD), associated with an increase
in trabecular number resulting from thinning and fenestration
of coarser trabeculae. Differences in BMD between the OA and
non-arthritic reference groups were identified in each ROI
using unpaired t-tests. Differences in BMD or FD between
medial and lateral compartments were identified using paired
t-tests. The significance level for all tests was set
at P = 0.05.
Figure 3 Mean difference in FD for vertical
(i) and horizontal (ii) trabecular structures between the
OA group and non-OA group in the M-Sc ⋅ ⋅ ⋅ ⋅ ⋅ ⋅, M-Sa – – – – – –, L-Sc _______, and L-Sa – ⋅ – ⋅ – ⋅ – ⋅ – regions. Significant differences indicated at P < 0.05 (■).
Results
Fractal Signature Analysis separately
calculated the vertical and horizontal fractal dimension at
trabecular sizes 0.12–1.14 mm at intervals of 0.06 mm for
each ROI. Mean (SD) differences in fractal dimension between
OA and non-OA groups are presented in Table 2. Separate graphs were produced for vertical and
horizontal values (Fig. 3). See Statistical Analysis and Presentation of
Data for further explanation of graphical presentation.
Differences in Trabecular Structure Between OA and non-OA Tibiae
Vertical Trabecular Structures
Compared to the non-OA group, FSA of
cancellous bone of OA tibiae was significantly increased (P
< 0.05) for vertical trabecular structures in the medial
subarticular region at trabecular sizes 0.42–0.54 mm and 0.90–1.08
mm (Fig. 3(i)).
Horizontal Trabecular Structures
Compared to the non-OA group, FSA of
cancellous bone of O A tibiae was significantly decreased
(P < 0.05) for horizontal trabecular structures
in the subchondral region (medial compartment: 0.12–0.18 mm,
lateral compartment: 0.12–0.24 mm) (Fig. 3(ii)).
Differences in BMD Between OA and Non-OA Tibiae
Table 1 shows the mean (SD) BMD obtained from all ROIs
in the OA and non-OA groups. No significant differences in
BMD between OA and non-OA groups occurred at any ROI.
Table 1 Mean (SD) BMD (g/cm2) of
the medial (M) and lateral (L) subchondral (Sc) and subarticular
(Sa) regions in the OA and non-arthritic groups
|
Region
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Mean OA BMD (g/cm2) n =
11 (SD)
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Mean non-OA BMD (g/cm2)
n = 11 (SD)
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Unmatched t-test. P-value
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M-Sc
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0.844 (0.232)
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0.885 (0.246)
|
0.69
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M-Sa
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0.677 (0.193)
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0.657 (0.201)
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0.89
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L-Sc
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0.712 (0.180)
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0.732 (0.292)
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0.85
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L-Sa
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0.611 (0.176)
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0.596 (0.209)
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0.86
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Table 2 Mean difference and standard
deviation (SD) in FD of (i) vertical and (ii) horizontal trabecular
structures between the OA group and non-OA group in the medial
(M) and lateral (L) subchondral (Sc) and subarticular (Sa)
regions
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(i)
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Trabecular size (mm)
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M-Sc
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M-Sa
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L-Sc
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L-Sa
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Mean diff
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SD
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Mean diff
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SD
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Mean diff
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SD
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Mean diff
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SD
|
|
0.12
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−0.03
|
0.02
|
−0.02
|
0.02
|
−0.01
|
0.01
|
−0.01
|
0.01
|
|
0.18
|
−0.03
|
0.03
|
−0.01
|
0.03
|
−0.02
|
0.02
|
0.00
|
0.01
|
|
0.24
|
0.00
|
0.03
|
0.00
|
0.03
|
−0.03
|
0.03
|
0.00
|
0.02
|
|
0.30
|
0.02
|
0.04
|
0.03
|
0.04
|
−0.03
|
0.03
|
−0.01
|
0.03
|
|
0.36
|
0.04
|
0.05
|
0.08
|
0.05
|
−0.03
|
0.04
|
−0.01
|
0.04
|
|
0.42
|
0.05
|
0.05
|
0.12
|
0.06
|
−0.03
|
0.04
|
0.00
|
0.04
|
|
0.48
|
0.02
|
0.05
|
0.16
|
0.07
|
−0.03
|
0.04
|
0.01
|
0.04
|
|
0.54
|
0.03
|
0.05
|
0.16
|
0.07
|
−0.02
|
0.03
|
0.01
|
0.05
|
|
0.60
|
0.06
|
0.06
|
0.11
|
0.07
|
0.00
|
0.04
|
−0.01
|
0.06
|
|
0.66
|
0.05
|
0.07
|
0.06
|
0.07
|
0.00
|
0.04
|
−0.05
|
0.06
|
|
0.72
|
0.07
|
0.06
|
0.09
|
0.06
|
0.01
|
0.05
|
−0.05
|
0.06
|
|
0.78
|
0.10
|
0.06
|
0.11
|
0.07
|
0.03
|
0.05
|
0.01
|
0.06
|
|
0.84
|
0.14
|
0.06
|
0.13
|
0.08
|
0.04
|
0.06
|
0.05
|
0.07
|
|
0.90
|
0.12
|
0.07
|
0.18
|
0.09
|
0.05
|
0.07
|
0.08
|
0.07
|
|
0.96
|
0.10
|
0.07
|
0.18
|
0.08
|
0.06
|
0.07
|
0.10
|
0.08
|
|
1.02
|
0.13
|
0.07
|
0.18
|
0.08
|
0.10
|
0.07
|
0.06
|
0.09
|
|
1.08
|
0.12
|
0.07
|
0.19
|
0.08
|
0.14
|
0.08
|
0.03
|
0.09
|
|
1.14
|
0.11
|
0.07
|
0.16
|
0.09
|
0.15
|
0.08
|
0.03
|
0.08
|
|
(ii)
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|
|
|
|
|
|
|
|
|
Trabecular size (mm)
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M-Sc
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M-Sa
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L-Sc
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L-Sa
|
| |
Mean diff
|
SD
|
Mean diff
|
SD
|
Mean diff
|
SD
|
Mean diff
|
SD
|
|
0.12
|
−0.04
|
0.01
|
−0.02
|
0.02
|
−0.02
|
0.02
|
−0.01
|
0.01
|
|
0.18
|
−0.08
|
0.03
|
−0.02
|
0.01
|
−0.06
|
0.02
|
−0.01
|
0.02
|
|
0.24
|
−0.09
|
0.05
|
−0.02
|
0.02
|
−0.07
|
0.03
|
0.02
|
0.03
|
|
0.30
|
−0.10
|
0.06
|
−0.02
|
0.02
|
−0.07
|
0.03
|
0.05
|
0.03
|
|
0.36
|
−0.10
|
0.07
|
0.00
|
0.03
|
−0.05
|
0.04
|
0.04
|
0.03
|
|
0.42
|
−0.09
|
0.07
|
0.00
|
0.04
|
−0.03
|
0.04
|
0.04
|
0.03
|
|
0.48
|
−0.08
|
0.08
|
0.02
|
0.04
|
−0.03
|
0.04
|
0.05
|
0.03
|
|
0.54
|
−0.07
|
0.08
|
0.03
|
0.05
|
−0.05
|
0.04
|
0.07
|
0.04
|
|
0.60
|
−0.05
|
0.08
|
0.04
|
0.05
|
−0.05
|
0.04
|
0.08
|
0.05
|
|
0.66
|
−0.03
|
0.08
|
0.03
|
0.06
|
−0.05
|
0.04
|
0.08
|
0.05
|
|
0.72
|
−0.02
|
0.08
|
0.01
|
0.06
|
−0.07
|
0.05
|
0.10
|
0.05
|
|
0.78
|
−0.02
|
0.08
|
0.01
|
0.06
|
−0.10
|
0.05
|
0.11
|
0.05
|
|
0.84
|
0.00
|
0.08
|
0.00
|
0.07
|
−0.10
|
0.05
|
0.11
|
0.05
|
|
0.90
| |