Validation of Density-Modulus Relationships for Skeletal Metastases

 


Introduction
Our CT based structural analysis for predicting fracture through a skeletal metastasis is based on the hypothesis that all bone (normal or pathologic) follows the same constitutive relationships established for rigid porous foams, i.e. the strength (sY) and modulus of elasticity (E) of bone depend on both the bone tissue density (rtiss) and the bone volume fraction (Vvb) squared:
                                                              sY, E = aŚrtissŚ(Vvb)2+b
The  r
tiss accounts for changes in tissue mineralization, and the Vvb accounts for changes in trabecular morphology.   To the best of our knowledge, this hypothesis has never been validated for metastatic cancer bone tissue.   Therefore, it was our objective to establish that the mechanical properties of metastatic cancer bone tissue were governed by the power law functions expressed in the equation above.  We also hypothesized that the mechanical behavior of the entire bone specimen was governed by the least rigid transaxial cross-section of bone throughout the specimen and that the cross-section with the minimum Vvb predicted the mechanical properties of the specimen better than the average Vvb for the entire specimen.

 


Methods

After obtaining IRB approval, 15 patients underwent excisional biopsy of metastatic prostate, breast, lung, ovarian or colon cancer at surgery or necropsy. Lytic or osteoblastic metastases were identified from biplaner radiographs. Of these specimens, 11 (7 male, 4 female, 70 ±15 years) were of adequate size to undergo specimen preparation for mechanical testing. In addition, 18 cadaveric femurs (13 male, 5 female, 58 ± 21 years) were obtained. After freezing, specimens were cored collinear with the predominant trabecular orientation to form 57 (31 cancer, 26 non-cancer) cylindrical rods with a 2:1 aspect ratio (diameter = 4.57 ±0.15 mm, h = 9.85 ±0.80 mm).  A pathologist confirmed the presence of metastatic cancer in each cancer specimen histologically. The r
tiss of each specimen was measured using a pycnometer (Quantachrome). The average Vvb for the entire specimen and the Vvb for each of 10 equally divided transaxial sub-regions were determined from thresholded μCT images (Scanco Medical AG, Bassersdorf, Switzerland).    Uniaxial compressive strains were applied to the specimens using a custom-made micro-mechanical testing device.  Progressive step-wise compressive strains of 0%, 2%, 4%, 8% and 12% were applied to each specimen at a strain rate of 0.01s-1.  Each sample was μCT imaged initially and after the application of each strain step to visualize the location of progressive deformation of trabeculae throughout the specimen.  To eliminate artifacts related to crushing of the unsupported ends of the specimens, brass caps were attached to each end using cyanoacrylate. Each specimen was preconditioned to 0.3% strain for 10 cycles at a strain rate of 0.005 s-1 to eliminate “settling” artifact. The modulus was determined from the slope fit to the linear portion of the composite step-wise stress-strain data. The yield stress was determined at the point where the stress-strain data became non-linear using 0.2% strain offset.  Regression models were fit (Levenberg-Marquardt method) to the function: sY, E = aŚrtissŚ(Vvb)2 + b.

 


Results

The average bone tissue densities for cancer and non-cancer specimens were 1.66 ±0.32 and 1.82 ± 0.31 g/cc respectively (statistically not significant, p=0.40). For all specimens, serial μCT images demonstrated that failure occurred predominantly at the transaxial subregion that exhibited the minimum-Vvb (Figure C.1.3.1).  For both the cancer (CA) and non-cancer (NC) specimens the sub-region with the minimum-Vvb accounted for more of the variability in the measured mechanical properties than the average Vvb for the entire specimen (Table C.1.3.1).

 
 


Discussion

The results of this study validate the application of power law functions of bone tissue density and bone volume fraction to derive the strength and modulus of pathologic bone tissue.  The constitutive relationships for metastatic cancer bone tissue and non-cancer bone are similar and can be approximated statistically by a single power law function with Vvb and rtiss as independent explanatory variables that model trabecular bone as a rigid porous foam. Similar to pathologic bone in-situ, the trabecular morphology was inhomogeneous for both the cancer and non-cancer specimens. The weakest transaxial sub-region (with the minimum-Vvb) accounted for more of the variability in the measured mechanical properties than the average Vvb for the entire specimen. Therefore the weakest portion of the specimen not the average properties of the specimen governed the mechanical behavior of these pathologic bone specimens. Bone tissue densities were in the normal range for the non-cancer specimens. Although not statistically significant, the bone tissue densities of the metastatic cancer specimens were somewhat under mineralized possibly reflecting the effects on bone of malnourishment and anti-cancer therapy.

Our results support the view that bone itself is a substrate that undergoes remodeling by osteoblasts and osteoclasts in response to local (e.g. PTHrP expressed by tumors) and/or systemic (e.g. estrogen deprivation) modulators of their activity. Since bone material properties can be described analytically using a bivariate model consisting of bone tissue density and bone volume fraction, then monitoring the structural properties of bone using CT-based image analysis may provide a non-invasive assay for monitoring the response of skeletal metastases to treatment.

 

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