ST-V-Net: incorporating shape prior into convolutional neural networks for proximal femur segmentation.

We aim to develop a deep-learning-based method for automatic proximal femur segmentation in quantitative computed tomography (QCT) images. We proposed a spatial transformation V-Net (ST-V-Net), which contains a V-Net and a spatial transform network (STN) to extract the proximal femur from QCT images. The STN incorporates a shape prior into the segmentation network as a constraint and guidance for model training, which improves model performance and accelerates model convergence. Meanwhile, a multi-stage training strategy is adopted to fine-tune the weights of the ST-V-Net. We performed experiments using a QCT dataset which included 397 QCT subjects. During the experiments for the entire cohort and then for male and female subjects separately, 90% of the subjects were used in ten-fold stratified cross-validation for training and the rest of the subjects were used to evaluate the performance of models. In the entire cohort, the proposed model achieved a Dice similarity coefficient (DSC) of 0.9888, a sensitivity of 0.9966 and a specificity of 0.9988. Compared with V-Net, the Hausdorff distance was reduced from 9.144 to 5.917 mm, and the average surface distance was reduced from 0.012 to 0.009 mm using the proposed ST-V-Net. Quantitative evaluation demonstrated excellent performance of the proposed ST-V-Net for automatic proximal femur segmentation in QCT images. In addition, the proposed ST-V-Net sheds light on incorporating shape prior to segmentation to further improve the model performance.

Lytic lesions in the femoral neck: Importance of location and evaluation of a novel minimally invasive repair technique.

Proximal femoral metastases can lead to pathologic fracture. The goals of this study were to improve guidelines for assessing pathologic hip fracture risk by quantifying the effect of location of femoral neck metastases on hip strength under single-limb stance loading and to evaluate the effectiveness of a proposed minimally invasive surgical repair technique for restoring hip strength. Twelve matched pairs of human cadaveric proximal femora were used to create a total of 564 finite element models before and after introduction and repair of simulated lytic defects, modeled as spherical voids, at various locations within the femoral neck. Defect site greatly affected hip strength (p < 0.001). Defects in the inferomedial aspect of the neck and in the dense trabecular bone near the base of the femoral head had the greatest effect, with hip strengths 23% to 72% and 43% to 64% that of the intact strength, respectively, for 20-mm diameter defects. Even so, the proposed percutaneous repair technique restored static strength of femora with defects at all of the studied locations. These findings may lead to a reduction in the number of patients who suffer a preventable pathologic fracture, a decreased likelihood of unnecessary surgery, and a less invasive prophylactic surgical procedure.

The effect of simulated metastatic lytic lesions on proximal femoral strength.

Metastatic lesions in the proximal femur can reduce hip strength and lead to pathologic fracture. However, current methods for identifying patients at risk of pathologic fracture are inadequate. We hypothesized the percentage of intact proximal femoral strength remaining after formation of a simulated lytic defect within the femoral neck or at the level of the lesser trochanter depends on defect location within the respective region. Computed tomography scan-based finite element models of 12 cadaveric proximal femora were used to evaluate the effect of 20-mm-diameter spherical voids at various locations in the neck and at the level of the lesser trochanter. In both regions, the percentage of intact strength remaining depended on defect location (p < 0.001). In the neck, the strength of specimens with inferomedial defects (median, 50.4% of intact; range, 27.8-71.7%) was less than the strength of specimens with defects located in the center of the neck, superolaterally, or anteriorly (p < 0.05). Near the lesser trochanter, anteromedial defects resulted in the lowest strength (median, 66.6% of intact; range, 49.2-73.8%). Other defects at the level of the lesser trochanter had a markedly smaller effect. These findings may be helpful for evaluating pathologic fracture risk.

Feasibility of a percutaneous technique for repairing proximal femora with simulated metastatic lesions.

Fracture of the proximal femur due to metastatic disease is a significant cause of morbidity and mortality among breast cancer patients. Prophylactic surgical fixation is advised for patients at risk of fracture and typically involves placement of an orthopaedic implant. We propose that some proximal femora with metastases can be repaired by removing the lesion and filling the resulting defect with bone cement (polymethylmethacrylate), a procedure that could be performed percutaneously without the use of hardware. We studied the strengths of 12 matched pairs of cadaveric proximal femora under single-limb stance loading. One femur from each pair remained intact, while a simulated metastatic lesion, measuring approximately 75% of the neck diameter, was burred into the neck of the contralateral femur. The defects were repaired using a procedure similar to the one proposed. Femoral strength was measured via mechanical testing to failure. The strengths of the repaired femora averaged 94.7% of the strength of their respective contralateral intact femur (standard deviation, 8.7%). These findings suggest that the proposed procedure may be useful for some patients with metastases in the femoral neck. If the proximal femur could be safely repaired using the proposed technique in place of conventional surgical fixation, the patient would benefit from a shorter and less invasive surgical procedure, less pain and discomfort, greatly reduced recovery time, and a shorter hospital stay-all at a much lower cost.

Predicting the strength of femoral shafts with and without metastatic lesions.

To evaluate a potential tool for assessing the risk of a pathologic fracture of the femoral shaft, we examined whether fracture loads computed by our computed tomography scan-based finite element models are predictive of measured fracture loads. We also evaluated whether the precision of the computed fracture loads for shafts with metastases is altered if models are generated using mechanical property-density relationships for bone without metastases. We investigated whether femoral shafts with a hemispheric defect and shafts with metastases have qualitatively similar structural behavior. Using identical four-point bending loading conditions, we computed and measured fracture loads of femoral shafts with and without metastases and with a burred hemispheric defect to simulate a tumor. Finite element model fracture loads were strongly predictive of the measured fracture loads (range, 0.92-0.98) even when the models of bones with metastases used mechanical property relationships for bone without metastases. Specimens with hemispheric defects behaved structurally differently than specimens with metastases, indicating that these defects do not accurately simulate the effects of metastases. Results of our study show that these computed tomography scan-based finite element models can be used to estimate the strength of femoral shafts with and without metastases. These models may be useful for assessing the risk of pathologic fractures of femoral shafts.

Predicting proximal femoral strength using structural engineering models.

Hip fracture related to osteoporosis and metastatic disease is a major cause of morbidity and mortality. An accurate and precise method of predicting proximal femoral strength and fracture location would be useful for research and clinical studies of hip fracture. The goals of this study were to develop a structural modeling technique that accurately predicts proximal femoral strength; to evaluate the accuracy and precision of this predicted strength on an independent data set; and to evaluate the ability of this technique to predict fracture location. Fresh human cadaveric proximal femora with and without metastatic lesions were studied using computed tomography scan-based three-dimensional structural models and mechanical testing to failure under single-limb stance-type loading. The models understated proximal femoral strength by an average of 444 N, and the precision of the predicted strength was +/- 1900 N. Therefore, the ability to predict hip strength in an individual subject is limited primarily by the level of precision, rather than accuracy. This level of precision is likely to be sufficient for many studies of hip strength. Finally, these models predict fractures involving the subcapital and cervical regions, consistent with most fractures produced experimentally under single-limb stance-type loading.

Mechanical properties, density and quantitative CT scan data of trabecular bone with and without metastases.

Pathologic fracture of the hip due to metastatic lesions in bone is a serious problem. This study examined the effect of metastatic lesions on the material properties and quantitative computed tomography (QCT) data of trabecular bone. Twelve distal femora were obtained, four with lytic and/or blastic metastatic lesions (group L), four without lesions but from donors who died from breast, prostate, or lung cancer (group NL), and four from donors with no cancer (group NC). Each specimen was CT scanned, and 56, 15x15x15-mm cubes of trabecular bone were cut. QCT density (rho(QCT)), compressive elastic modulus (E), compressive yield and ultimate strengths (S(y) and S(u)), and ash density (rho(ash)) of each cube were determined. Regression analysis was performed between rho(ash) and E, S(y), S(u) and rho(QCT), and analysis of covariance was used to identify differences between groups. Power relationships that did not depend on group (p >/= 0.1) were found between E and rho(ash) (0.74 /= 0.94; p<0.001). rho(ash) was strongly related to rho(QCT) (r >/= 0.99; p<0.001). These results indicate that metastatic disease does not significantly impair the ability of QCT to provide an accurate and precise estimate of rho(ash) that can be used to estimate mechanical properties of trabecular bone with and without metastases.

Relationships between material properties and CT scan data of cortical bone with and without metastatic lesions.

Breast, prostate, lung, and other cancers can metastasize to bone and lead to pathological fracture. To lay the groundwork for new clinical techniques for assessing the risk of pathological fracture, we identified relationships between density measured using quantitative computed tomography (rhoQCT), longitudinal mechanical properties, and ash density (rhoAsh) of cortical bone from femoral diaphyses with and without metastatic lesions from breast, prostate, and lung cancer (bone with metastases from six donors; bone without metastases from one donor with cancer and two donors without cancer). Moderately strong linear relationships between rhoQCT and elastic modulus, strength, and rhoAsh were found for bone with metastases (0.73