Improving bone strength prediction in human proximal femur specimens through geometrical characterization of trabecular bone microarchitecture and support vector regression

Yang, Chien-Chun; Nagarajan, Mahesh; Huber, Markus; Carballido‐Gamio, Julio; Bauer, Jan; Baum, Thomas; Eckstein, F.; Lochmüller, Eva-Maria; Majumdar, Sharmila; Link, Thomas M.; Wismüller, Axel

doi:10.1117/1.jei.23.1.013013

Cited by 29 publications

(11 citation statements)

References 41 publications

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“…Patients with spontaneous femoral fractures exhibited lower bone density than the asymptomatic controls (Narayanan et al 2019 ). Geometrical measurement combined with bone mineral density of head of femur and neck of femur improved prediction of bone failure (Yang et al 2014a ) and bone mineral content as well as bone mineral density and structural parameters correlated significantly with failure load of proximal femur (Bauer et al 2006 ).Volumetric bone mineral density and apparent cortical thickness discriminated hip fracture on the opposite femur independently of areal bone mineral density by DXA (Yang et al 2014b ). The relevance of the mentioned parameter of bone structure seems important for the behaviour of bone grafts harvested from human heads of femur.…”

Section: Discussionmentioning

confidence: 99%

Influence of thermodisinfection on microstructure of human femoral heads: duration of heat exposition and compressive strength

et al. 2020

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Allogeneic bone derived from living donors being necessary to match demand for bone transplantation and thermodisinfection of femoral heads is an established sterilization method. During the thermodisinfection the peripheral bone is exposed to maximum 86°C for 94 min providing 82.5°C within the center of the femoral head for at least 15 min. This study examined the compression force of the central and representative peripheral regions of native and thermodisinfected human femoral heads to observe wether different duration and intensity of heat exposure might alter mechanic behaviour. Slices from the equatorial region of human femoral heads were taken from each 14 native and thermodisinfected human femoral heads. The central area revealed a significantly higher compression force for native (p B 0.001) and for thermodisinfected bone (p = 0.002 and p = 0.005) compared with peripheral regions since no relevant differences were found between the peripheral and intermediate areas themselves. A small reduction of compression force for thermodisinfected bone was shown since this did not appear significant due to the small number of specimens. The heat exposure did not alter the pre-existing anatomical changes of the microarchitecture of the native femoral heads from the center towards the peripheral regions. The heterogeneity of microstructure of the femoral head might be of interest concerning clinical applications of bone grafts since the difference between native and thermodisinfected bone appears moderate as shown previously. The different quantity of heat exposure did not reveal any significant influence on compression force which might enable thermodisinfection of preformed bone pieces for surgical indications. Keywords Allogeneic bone Á Human femoral head Á Compression force Á Microarchitecture bone Á Thermodisinfection Á Bone bank procedures

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Section: Discussionmentioning

confidence: 99%

Influence of thermodisinfection on microstructure of human femoral heads: duration of heat exposition and compressive strength

et al. 2020

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“…There is increasing interest in how ML can improve quantitative bone imaging for the assessment of bone strength and quality. Several recent studies have attempted to incorporate existing methods of assessing trabecular bone microarchitecture, such as geometric and textural characteristics, with the ML methods of support vector machines and SVMR [60][61][62].…”

Section: Bone Fragilitymentioning

confidence: 99%

“…A study by Yang et al [60] used SVMR to predict the failure loads of ex vivo proximal femur specimens on the basis of a combination of conventional dual-energy x-ray absorptiometry bone mineral density (BMD) measurements and other methods of capturing trabecular bone microarchitecture on MDCT. These methods included statistical moments of MDCT BMD distribution, morphometric parameters like bone fraction and trabecular thickness, and geometric features derived from the scaling index method.…”

Section: Bone Fragilitymentioning

confidence: 99%

Artificial Intelligence in Musculoskeletal Imaging: Current Status and Future Directions

Gyftopoulos

Lin

Knoll

et al. 2019

American Journal of Roentgenology

100

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OBJECTIVE.-The objective of this article is to show how artificial intelligence (AI) has impacted different components of the imaging value chain thus far as well as to describe its potential future uses. CONCLUSION.-The use of AI has the potential to greatly enhance every component of the imaging value chain. From assessing the appropriateness of imaging orders to helping predict patients at risk for fracture, AI can increase the value that musculoskeletal imagers provide to their patients and to referring clinicians by improving image quality, patient centricity, imaging efficiency, and diagnostic accuracy.

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“…This work is embedded in our group's endeavor to expedite 'big data' analysis in biomedical imaging by means of advanced pattern recognition and machine learning methods for computational radiology, e.g. [14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31].…”

Section: Motivation/purposementioning

confidence: 99%

Using anisotropic 3D Minkowski functionals for trabecular bone characterization and biomechanical strength prediction in proximal femur specimens

Nagarajan

Lochmüller

et al. 2014

SPIE Proceedings

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The ability of Anisotropic Minkowski Functionals (AMFs) to capture local anisotropy while evaluating topological properties of the underlying gray-level structures has been previously demonstrated. We evaluate the ability of this approach to characterize local structure properties of trabecular bone micro-architecture in ex vivo proximal femur specimens, as visualized on multi-detector CT, for purposes of biomechanical bone strength prediction. To this end, volumetric AMFs were computed locally for each voxel of volumes of interest (VOI) extracted from the femoral head of 146 specimens. The local anisotropy captured by such AMFs was quantified using a fractional anisotropy measure; the magnitude and direction of anisotropy at every pixel was stored in histograms that served as a feature vectors that characterized the VOIs. A linear multi-regression analysis algorithm was used to predict the failure load (FL) from the feature sets; the predicted FL was compared to the true FL determined through biomechanical testing. The prediction performance was measured by the root mean square error (RMSE) for each feature set. The best prediction performance was obtained from the fractional anisotropy histogram of AMF Euler Characteristic (RMSE = 1.01 ± 0.13), which was significantly better than MDCT-derived mean BMD (RMSE = 1.12 ± 0.16, p<0.05). We conclude that such anisotropic Minkowski Functionals can capture valuable information regarding regional trabecular bone quality and contribute to improved bone strength prediction, which is important for improving the clinical assessment of osteoporotic fracture risk.

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Improving bone strength prediction in human proximal femur specimens through geometrical characterization of trabecular bone microarchitecture and support vector regression

Cited by 29 publications

References 41 publications

Influence of thermodisinfection on microstructure of human femoral heads: duration of heat exposition and compressive strength

Influence of thermodisinfection on microstructure of human femoral heads: duration of heat exposition and compressive strength

Artificial Intelligence in Musculoskeletal Imaging: Current Status and Future Directions

Using anisotropic 3D Minkowski functionals for trabecular bone characterization and biomechanical strength prediction in proximal femur specimens

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