{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,24]],"date-time":"2026-10-24T02:07:06Z","timestamp":1792807626095,"version":"4.5.0"},"reference-count":40,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2025,4,19]],"date-time":"2025-04-19T00:00:00Z","timestamp":1745020800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2025,4,19]],"date-time":"2025-04-19T00:00:00Z","timestamp":1745020800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/501100000780","name":"European Commission","doi-asserted-by":"publisher","award":["823712"],"award-info":[{"award-number":["823712"]}],"id":[{"id":"10.13039\/501100000780","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000780","name":"European Commission","doi-asserted-by":"publisher","award":["101016503"],"award-info":[{"award-number":["101016503"]}],"id":[{"id":"10.13039\/501100000780","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Marie Sk\u0142odowska-Curie Individual Fellowship","award":["832430\/2018"],"award-info":[{"award-number":["832430\/2018"]}]},{"name":"AOSpine Discovery and Innovation Awards","award":["AOSDIA 2019_063_TUM_Palanca"],"award-info":[{"award-number":["AOSDIA 2019_063_TUM_Palanca"]}]},{"name":"Engineering and Physical Sciences Research Council (EPSRC) Frontier Multisim Grant","award":["EP\/K03877X\/1 and EP\/S032940\/1"],"award-info":[{"award-number":["EP\/K03877X\/1 and EP\/S032940\/1"]}]},{"DOI":"10.13039\/100013000","name":"Politecnico di Torino","doi-asserted-by":"crossref","id":[{"id":"10.13039\/100013000","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Biomech Model Mechanobiol"],"published-print":{"date-parts":[[2025,6]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>\n                    Several conditions can increase the incidence of vertebral fragility fractures, including metastatic bone disease. Computational tools could help clinicians estimate the risk of vertebral fracture in these patients; however, comparison with in vitro data is mandatory before using them in clinical practice. Nine spine segments were tested under compression and imaged with micro-computed tomography (\u00b5CT). The displacement field was calculated for each vertebra using a global digital volume correlation (DVC) approach. Subject-specific homogenised finite element models of each vertebra were built from \u00b5CT images, applying experimentally matched boundary conditions at the endplates. Numerical and experimental displacements, reaction forces, and locations showing higher strain concentrations were eventually compared. Additionally, given that \u00b5CT cannot be performed in clinical settings, the outcomes of a \u00b5CT-based model were also compared to those of a model built from clinical CT scans of the same specimen. Good agreement between DVC and \u00b5CT-based FE displacements was found, both for healthy (\n                    <jats:italic>R<\/jats:italic>\n                    <jats:sup>2<\/jats:sup>\n                    \u2009=\u20090.69\u2009\u00f7\u20090.83, RMSE\u2009=\u20093\u2009\u00f7\u200922%, max error\u2009&lt;\u200945\u00a0\u03bcm) and metastatic (\n                    <jats:italic>R<\/jats:italic>\n                    <jats:sup>2<\/jats:sup>\n                    \u2009=\u20090.64\u2009\u00f7\u20090.93, RMSE\u2009=\u20095\u2009\u00f7\u200918%, max error\u2009&lt;\u200954\u00a0\u03bcm) vertebrae. Strong correlations were found between \u00b5CT-based and clinical CT-based FE model outcomes (\n                    <jats:italic>R<\/jats:italic>\n                    <jats:sup>2<\/jats:sup>\n                    \u2009=\u20090.99, RMSE\u2009&lt;\u20091.3%, max difference\u2009=\u20096\u00a0\u03bcm). Furthermore, the models qualitatively identified the most deformed regions identified with the experiments. In conclusion, the combination of experimental full-field technique and in-silico modelling enabled the development of a promising pipeline to validate bone strength predictors in the elastic range. Further improvements are needed to analyse vertebral post-yield behaviour better.\n                  <\/jats:p>","DOI":"10.1007\/s10237-025-01950-x","type":"journal-article","created":{"date-parts":[[2025,4,19]],"date-time":"2025-04-19T01:39:21Z","timestamp":1745026761000},"page":"1017-1030","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":19,"title":["Comparing the predictions of CT-based subject-specific finite element models of human metastatic vertebrae with digital volume correlation measurements"],"prefix":"10.1007","volume":"24","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6921-0730","authenticated-orcid":false,"given":"Chiara","family":"Garavelli","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2397-3353","authenticated-orcid":false,"given":"Alessandra","family":"Aldieri","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1231-2728","authenticated-orcid":false,"given":"Marco","family":"Palanca","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1471-5077","authenticated-orcid":false,"given":"Enrico","family":"Dall\u2019Ara","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2293-1530","authenticated-orcid":false,"given":"Marco","family":"Viceconti","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,4,19]]},"reference":[{"key":"1950_CR1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2023.107727","volume":"240","author":"A Aldieri","year":"2023","unstructured":"Aldieri A, Curreli C, Szyszko JA et al (2023) Credibility assessment of computational models according to ASME V&V40: application to the Bologna biomechanical computed tomography solution. Comput Methods Programs Biomed 240:107727. https:\/\/doi.org\/10.1016\/j.cmpb.2023.107727","journal-title":"Comput Methods Programs Biomed"},{"issue":"4","key":"1950_CR2","doi-asserted-by":"publisher","first-page":"46","DOI":"10.7812\/TPP\/12-037","volume":"16","author":"D Alexandru","year":"2012","unstructured":"Alexandru D, So W (2012) Evaluation and management of vertebral compression fractures. Permanente J 16(4):46\u201351. https:\/\/doi.org\/10.7812\/TPP\/12-037","journal-title":"Permanente J"},{"key":"1950_CR3","doi-asserted-by":"publisher","first-page":"1808","DOI":"10.1002\/jor.23154","volume":"34","author":"RN Alkalay","year":"2016","unstructured":"Alkalay RN, Harrigan TP (2016) Mechanical assessment of the effects of metastatic lytic defect on the structural response of human thoracolumbar spine. J Orthopaedic Res 34:1808\u20131819. https:\/\/doi.org\/10.1002\/jor.23154","journal-title":"J Orthopaedic Res"},{"key":"1950_CR4","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmbbm.2023.105706","volume":"140","author":"M Baleani","year":"2023","unstructured":"Baleani M, Fraterrigo G, Erani P et al (2023) Applying a homogeneous pressure distribution to the upper vertebral endplate: validation of a new loading system, pilot application to human vertebral bodies, and finite element predictions of DIC measured displacements and strains. J Mech Behav Biomed Mater 140:105706. https:\/\/doi.org\/10.1016\/j.jmbbm.2023.105706","journal-title":"J Mech Behav Biomed Mater"},{"key":"1950_CR5","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1016\/S0021-9290(03)00257-4","volume":"37","author":"HH Bayraktar","year":"2004","unstructured":"Bayraktar HH, Morgan EF, Niebur GL et al (2004) Comparison of the elastic and yield properties of human femoral trabecular and cortical bone tissue. J Biomech 37:27\u201335. https:\/\/doi.org\/10.1016\/S0021-9290(03)00257-4","journal-title":"J Biomech"},{"key":"1950_CR6","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbo.2022.100446","volume":"35","author":"R Van Den Brande","year":"2022","unstructured":"Van Den Brande R, Mj Cornips E, Peeters M et al (2022) Epidemiology of spinal metastases, metastatic epidural spinal cord compression and pathologic vertebral compression fractures in patients with solid tumors: a systematic review. J Bone Oncol 35:100446. https:\/\/doi.org\/10.1016\/j.jbo.2022.100446","journal-title":"J Bone Oncol"},{"key":"1950_CR7","doi-asserted-by":"publisher","first-page":"229","DOI":"10.3322\/caac.21834","volume":"74","author":"F Bray","year":"2024","unstructured":"Bray F, Laversanne M, Sung H et al (2024) Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA A Cancer J Clinicians 74:229\u2013263. https:\/\/doi.org\/10.3322\/caac.21834","journal-title":"CA A Cancer J Clinicians"},{"key":"1950_CR8","doi-asserted-by":"publisher","first-page":"767","DOI":"10.1016\/j.bone.2006.10.025","volume":"40","author":"JM Buckley","year":"2007","unstructured":"Buckley JM, Loo K, Motherway J (2007) Comparison of quantitative computed tomography-based measures in predicting vertebral compressive strength. Bone 40:767\u2013774. https:\/\/doi.org\/10.1016\/j.bone.2006.10.025","journal-title":"Bone"},{"key":"1950_CR10","doi-asserted-by":"publisher","first-page":"1152358","DOI":"10.3389\/fbioe.2023.1152358","volume":"11","author":"G Cavazzoni","year":"2023","unstructured":"Cavazzoni G, Cristofolini L, Dall\u2019Ara E, Palanca M (2023) Bone metastases do not affect the measurement uncertainties of a global digital volume correlation algorithm. Front Bioeng Biotechnol 11:1152358. https:\/\/doi.org\/10.3389\/fbioe.2023.1152358","journal-title":"Front Bioeng Biotechnol"},{"key":"1950_CR11","doi-asserted-by":"publisher","first-page":"1508504","DOI":"10.3389\/fendo.2024.1508504","volume":"15","author":"G Cavazzoni","year":"2025","unstructured":"Cavazzoni G, Dall\u2019Ara E, Palanca M (2025) Microstructure of the human metastatic vertebral body. Front Endocrinol 15:1508504. https:\/\/doi.org\/10.3389\/fendo.2024.1508504","journal-title":"Front Endocrinol"},{"key":"1950_CR12","doi-asserted-by":"publisher","first-page":"644","DOI":"10.1016\/j.jmbbm.2016.09.014","volume":"65","author":"Y Chen","year":"2017","unstructured":"Chen Y, Dall\u2019Ara E, Sales E et al (2017) Micro-CT based finite element models of cancellous bone predict accurately displacement once the boundary condition is well replicated: a validation study. J Mech Behav Biomed Mater 65:644\u2013651. https:\/\/doi.org\/10.1016\/j.jmbbm.2016.09.014","journal-title":"J Mech Behav Biomed Mater"},{"key":"1950_CR13","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0180151","volume":"12","author":"MC Costa","year":"2017","unstructured":"Costa MC, Tozzi G, Cristofolini L et al (2017) Micro finite element models of the vertebral body: validation of local displacement predictions. PLoS ONE 12:e0180151. https:\/\/doi.org\/10.1371\/journal.pone.0180151","journal-title":"PLoS ONE"},{"key":"1950_CR14","doi-asserted-by":"publisher","first-page":"268","DOI":"10.1016\/j.jmbbm.2019.06.027","volume":"98","author":"MC Costa","year":"2019","unstructured":"Costa MC, Eltes P, Lazary A et al (2019) Biomechanical assessment of vertebrae with lytic metastases with subject-specific finite element models. J Mech Behav Biomed Mater 98:268\u2013290. https:\/\/doi.org\/10.1016\/j.jmbbm.2019.06.027","journal-title":"J Mech Behav Biomed Mater"},{"key":"1950_CR15","doi-asserted-by":"publisher","first-page":"744","DOI":"10.1016\/S8756-3282(03)00210-2","volume":"33","author":"RP Crawford","year":"2003","unstructured":"Crawford RP, Cann CE, Keaveny TM (2003) Finite element models predict in vitro vertebral body compressive strength better than quantitative computed tomography. Bone 33:744\u2013750. https:\/\/doi.org\/10.1016\/S8756-3282(03)00210-2","journal-title":"Bone"},{"key":"1950_CR16","doi-asserted-by":"publisher","first-page":"1010056","DOI":"10.3389\/fbioe.2022.1010056","volume":"10","author":"E Dall\u2019Ara","year":"2022","unstructured":"Dall\u2019Ara E, Tozzi G (2022) Digital volume correlation for the characterization of musculoskeletal tissues: current challenges and future developments. Front Bioeng Biotechnol 10:1010056. https:\/\/doi.org\/10.3389\/fbioe.2022.1010056","journal-title":"Front Bioeng Biotechnol"},{"key":"1950_CR18","doi-asserted-by":"publisher","first-page":"563","DOI":"10.1007\/s00198-011-1568-3","volume":"23","author":"E Dall\u2019Ara","year":"2012","unstructured":"Dall\u2019Ara E, Pahr D, Varga P et al (2012) QCT-based finite element models predict human vertebral strength in vitro significantly better than simulated DEXA. Osteoporos Int 23:563\u2013572. https:\/\/doi.org\/10.1007\/s00198-011-1568-3","journal-title":"Osteoporos Int"},{"key":"1950_CR19","doi-asserted-by":"publisher","first-page":"31","DOI":"10.3389\/fmats.2017.00031","volume":"4","author":"E Dall\u2019Ara","year":"2017","unstructured":"Dall\u2019Ara E, Pe\u00f1a-Fern\u00e1ndez M, Palanca M et al (2017) Precision of digital volume correlation approaches for strain analysis in bone imaged with micro-computed tomography at different dimensional levels. Front Mater 4:31. https:\/\/doi.org\/10.3389\/fmats.2017.00031","journal-title":"Front Mater"},{"key":"1950_CR20","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0272529","volume":"17","author":"C Garavelli","year":"2022","unstructured":"Garavelli C, Curreli C, Palanca M et al (2022) Experimental validation of a subject-specific finite element model of lumbar spine segment using digital image correlation. PLoS ONE 17:e0272529. https:\/\/doi.org\/10.1371\/journal.pone.0272529","journal-title":"PLoS ONE"},{"key":"1950_CR21","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1016\/j.jmbbm.2015.06.006","volume":"50","author":"L Grassi","year":"2015","unstructured":"Grassi L, Isaksson H (2015) Extracting accurate strain measurements in bone mechanics: a critical review of current methods. J Mech Behav Biomed Mater 50:43\u201354. https:\/\/doi.org\/10.1016\/j.jmbbm.2015.06.006","journal-title":"J Mech Behav Biomed Mater"},{"key":"1950_CR22","doi-asserted-by":"publisher","first-page":"801","DOI":"10.1016\/j.jmbbm.2016.10.002","volume":"65","author":"HM Gustafson","year":"2017","unstructured":"Gustafson HM, Cripton PA, Ferguson SJ, Helgason B (2017) Comparison of specimen-specific vertebral body finite element models with experimental digital image correlation measurements. J Mech Behav Biomed Mater 65:801\u2013807. https:\/\/doi.org\/10.1016\/j.jmbbm.2016.10.002","journal-title":"J Mech Behav Biomed Mater"},{"key":"1950_CR23","doi-asserted-by":"publisher","DOI":"10.1115\/1.4038609","volume":"140","author":"AI Hussein","year":"2018","unstructured":"Hussein AI, Louzeiro DT, Unnikrishnan GU, Morgan EF (2018) Differences in trabecular microarchitecture and simplified boundary conditions limit the accuracy of quantitative computed tomography-based finite element models of vertebral failure. J Biomech Eng 140:021004. https:\/\/doi.org\/10.1115\/1.4038609","journal-title":"J Biomech Eng"},{"key":"1950_CR24","doi-asserted-by":"publisher","first-page":"1789","DOI":"10.1097\/01.brs.0000225993.57349.df","volume":"31","author":"K Imai","year":"2006","unstructured":"Imai K, Ohnishi I, Bessho M, Nakamura K (2006) Nonlinear finite element model predicts vertebral bone strength and fracture site. Spine 31:1789\u20131794. https:\/\/doi.org\/10.1097\/01.brs.0000225993.57349.df","journal-title":"Spine"},{"key":"1950_CR25","doi-asserted-by":"publisher","first-page":"267","DOI":"10.1016\/j.jbiomech.2015.12.004","volume":"49","author":"TM Jackman","year":"2016","unstructured":"Jackman TM, DelMonaco AM, Morgan EF (2016) Accuracy of finite element analyses of CT scans in predictions of vertebral failure patterns under axial compression and anterior flexion. J Biomech 49:267\u2013275. https:\/\/doi.org\/10.1016\/j.jbiomech.2015.12.004","journal-title":"J Biomech"},{"key":"1950_CR26","doi-asserted-by":"publisher","first-page":"523","DOI":"10.1016\/j.jbiomech.2003.08.010","volume":"37","author":"TS Kaneko","year":"2004","unstructured":"Kaneko TS, Bell JS, Pejcic MR et al (2004) Mechanical properties, density and quantitative CT scan data of trabecular bone with and without metastases. J Biomech 37:523\u2013530. https:\/\/doi.org\/10.1016\/j.jbiomech.2003.08.010","journal-title":"J Biomech"},{"key":"1950_CR27","doi-asserted-by":"publisher","first-page":"339","DOI":"10.1016\/j.jmbbm.2019.05.021","volume":"97","author":"J Kusins","year":"2019","unstructured":"Kusins J, Knowles N, Ryan M et al (2019) Performance of QCT-derived scapula finite element models in predicting local displacements using digital volume correlation. J Mech Behav Biomed Mater 97:339\u2013345. https:\/\/doi.org\/10.1016\/j.jmbbm.2019.05.021","journal-title":"J Mech Behav Biomed Mater"},{"key":"1950_CR28","doi-asserted-by":"publisher","first-page":"2859","DOI":"10.1007\/s10439-020-02549-2","volume":"48","author":"J Kusins","year":"2020","unstructured":"Kusins J, Knowles N, Columbus M et al (2020) The application of digital volume correlation (DVC) to evaluate strain predictions generated by finite element models of the osteoarthritic humeral head. Ann Biomed Eng 48:2859\u20132869. https:\/\/doi.org\/10.1007\/s10439-020-02549-2","journal-title":"Ann Biomed Eng"},{"key":"1950_CR29","doi-asserted-by":"publisher","first-page":"599","DOI":"10.1007\/s11012-021-01452-x","volume":"57","author":"L Molinari","year":"2022","unstructured":"Molinari L, Falcinelli C (2022) On the human vertebra computational modeling: a literature review. Meccanica 57:599\u2013622. https:\/\/doi.org\/10.1007\/s11012-021-01452-x","journal-title":"Meccanica"},{"key":"1950_CR30","doi-asserted-by":"publisher","first-page":"897","DOI":"10.1016\/S0021-9290(03)00071-X","volume":"36","author":"EF Morgan","year":"2003","unstructured":"Morgan EF, Bayraktar HH, Keaveny TM (2003) Trabecular bone modulus\u2013density relationships depend on anatomic site. J Biomech 36:897\u2013904. https:\/\/doi.org\/10.1016\/S0021-9290(03)00071-X","journal-title":"J Biomech"},{"key":"1950_CR31","doi-asserted-by":"publisher","first-page":"368","DOI":"10.1007\/s00223-008-9174-x","volume":"83","author":"A Nazarian","year":"2008","unstructured":"Nazarian A, von Stechow D, Zurakowski D et al (2008) Bone volume fraction explains the variation in strength and stiffness of cancellous bone affected by metastatic cancer and osteoporosis. Calcif Tissue Int 83:368\u2013379. https:\/\/doi.org\/10.1007\/s00223-008-9174-x","journal-title":"Calcif Tissue Int"},{"key":"1950_CR33","doi-asserted-by":"publisher","DOI":"10.1115\/1.4030174","volume":"137","author":"M Palanca","year":"2015","unstructured":"Palanca M, Tozzi G, Cristofolini L et al (2015) Three-dimensional local measurements of bone strain and displacement: comparison of three digital volume correlation approaches. J Biomech Eng 137:071006. https:\/\/doi.org\/10.1115\/1.4030174","journal-title":"J Biomech Eng"},{"key":"1950_CR34","doi-asserted-by":"publisher","DOI":"10.1016\/j.bone.2021.116028","volume":"151","author":"M Palanca","year":"2021","unstructured":"Palanca M, Barbanti-Br\u00f2dano G, Marras D et al (2021) Type, size, and position of metastatic lesions explain the deformation of the vertebrae under complex loading conditions. Bone 151:116028. https:\/\/doi.org\/10.1016\/j.bone.2021.116028","journal-title":"Bone"},{"key":"1950_CR35","doi-asserted-by":"publisher","first-page":"104872","DOI":"10.1016\/j.jmbbm.2021.104872","volume":"125","author":"M Palanca","year":"2022","unstructured":"Palanca M, Oliviero S, Dall\u2019Ara E (2022) MicroFE models of porcine vertebrae with induced bone focal lesions: validation of predicted displacements with digital volume correlation. J Mech Behav Biomed Mater 125:104872. https:\/\/doi.org\/10.1016\/j.jmbbm.2021.104872","journal-title":"J Mech Behav Biomed Mater"},{"key":"1950_CR36","doi-asserted-by":"publisher","first-page":"116814","DOI":"10.1016\/j.bone.2023.116814","volume":"173","author":"M Palanca","year":"2023","unstructured":"Palanca M, Cavazzoni G, Dall\u2019Ara E (2023) The role of bone metastases on the mechanical competence of human vertebrae. Bone 173:116814. https:\/\/doi.org\/10.1016\/j.bone.2023.116814","journal-title":"Bone"},{"key":"1950_CR37","doi-asserted-by":"publisher","first-page":"1035","DOI":"10.1038\/s41598-020-57912-z","volume":"10","author":"M Pe\u00f1a Fern\u00e1ndez","year":"2020","unstructured":"Pe\u00f1a Fern\u00e1ndez M, Hoxha D, Chan O et al (2020) Centre of rotation of the human subtalar joint using weight-bearing clinical computed tomography. Sci Rep 10:1035. https:\/\/doi.org\/10.1038\/s41598-020-57912-z","journal-title":"Sci Rep"},{"key":"1950_CR38","doi-asserted-by":"publisher","first-page":"923","DOI":"10.1016\/j.jbiomech.2014.01.001","volume":"47","author":"BC Roberts","year":"2014","unstructured":"Roberts BC, Perilli E, Reynolds KJ (2014) Application of the digital volume correlation technique for the measurement of displacement and strain fields in bone: a literature review. J Biomech 47:923\u2013934. https:\/\/doi.org\/10.1016\/j.jbiomech.2014.01.001","journal-title":"J Biomech"},{"key":"1950_CR39","doi-asserted-by":"publisher","first-page":"2483","DOI":"10.1016\/j.jbiomech.2008.05.017","volume":"41","author":"E Schileo","year":"2008","unstructured":"Schileo E, DallAra E, Taddei F et al (2008) An accurate estimation of bone density improves the accuracy of subject-specific finite element models. J Biomech 41:2483\u20132491. https:\/\/doi.org\/10.1016\/j.jbiomech.2008.05.017","journal-title":"J Biomech"},{"key":"1950_CR40","doi-asserted-by":"publisher","DOI":"10.1016\/j.bone.2020.115598","volume":"141","author":"MA Stadelmann","year":"2020","unstructured":"Stadelmann MA, Schenk DE, Maquer G et al (2020) Conventional finite element models estimate the strength of metastatic human vertebrae despite alterations of the bone\u2019s tissue and structure. Bone 141:115598. https:\/\/doi.org\/10.1016\/j.bone.2020.115598","journal-title":"Bone"},{"key":"1950_CR41","doi-asserted-by":"publisher","first-page":"973","DOI":"10.1016\/j.medengphy.2006.10.014","volume":"29","author":"F Taddei","year":"2007","unstructured":"Taddei F, Schileo E, Helgason B et al (2007) The material mapping strategy influences the accuracy of CT-based finite element models of bones: an evaluation against experimental measurements. Med Eng Phys 29:973\u2013979. https:\/\/doi.org\/10.1016\/j.medengphy.2006.10.014","journal-title":"Med Eng Phys"},{"key":"1950_CR42","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbiomech.2020.109604","volume":"102","author":"S Tavana","year":"2020","unstructured":"Tavana S, Clark JN, Prior J et al (2020) Quantifying deformations and strains in human intervertebral discs using digital volume correlation combined with MRI (DVC-MRI). J Biomech 102:109604. https:\/\/doi.org\/10.1016\/j.jbiomech.2020.109604","journal-title":"J Biomech"},{"key":"1950_CR43","doi-asserted-by":"publisher","first-page":"446","DOI":"10.1111\/str.12202","volume":"52","author":"G Tozzi","year":"2016","unstructured":"Tozzi G, Danesi V, Palanca M, Cristofolini L (2016) Elastic full-field strain analysis and microdamage progression in the vertebral body from digital volume correlation. Strain 52:446\u2013455. https:\/\/doi.org\/10.1111\/str.12202","journal-title":"Strain"}],"container-title":["Biomechanics and Modeling in Mechanobiology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10237-025-01950-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10237-025-01950-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10237-025-01950-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,12]],"date-time":"2025-06-12T05:58:59Z","timestamp":1749707939000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10237-025-01950-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4,19]]},"references-count":40,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2025,6]]}},"alternative-id":["1950"],"URL":"https:\/\/doi.org\/10.1007\/s10237-025-01950-x","relation":{},"ISSN":["1617-7959","1617-7940"],"issn-type":[{"value":"1617-7959","type":"print"},{"value":"1617-7940","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,4,19]]},"assertion":[{"value":"5 November 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"15 March 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"19 April 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they do not have any financial or personal relationships with other people or organisations that could have inappropriately influenced this study.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}