dc.contributor.author | Maknickas, Algirdas | |
dc.contributor.author | Alekna, Vidmantas | |
dc.contributor.author | Ardatov, Oleg | |
dc.contributor.author | Chabarova, Olga | |
dc.contributor.author | Zabulionis, Darius | |
dc.contributor.author | Tamulaitienė, Marija | |
dc.contributor.author | Kačianauskas, Rimantas | |
dc.date.accessioned | 2023-09-18T19:39:03Z | |
dc.date.available | 2023-09-18T19:39:03Z | |
dc.date.issued | 2019 | |
dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/141858 | |
dc.description.abstract | This paper presents a finite element method (FEM)-based fracture risk assessment in patient-specific osteoporotic lumbar vertebra L1. The influence of osteoporosis is defined by variation of parameters such as thickness of the cortical shell, the bone volume–total volume ratio (BV/TV), and the trabecular bone score (TBS). The mechanical behaviour of bone is defined using the Ramberg–Osgood material model. This study involves the static and nonlinear dynamic calculations of von Mises stresses and follows statistical processing of the obtained results in order to develop the patient-specific vertebra reliability. In addition, different scenarios of parameters show that the reliability of the proposed model of human vertebra highly decreases with low levels of BV/TV and is critical due to the thinner cortical bone, suggesting high trauma risk by reason of osteoporosis. | eng |
dc.format | PDF | |
dc.format.extent | p. [1-22] | |
dc.format.medium | tekstas / txt | |
dc.language.iso | eng | |
dc.relation.isreferencedby | Genamics Journal Seek | |
dc.relation.isreferencedby | AGORA | |
dc.relation.isreferencedby | DOAJ | |
dc.relation.isreferencedby | INSPEC | |
dc.relation.isreferencedby | Chemical abstracts | |
dc.relation.isreferencedby | Scopus | |
dc.relation.isreferencedby | Science Citation Index Expanded (Web of Science) | |
dc.rights | Laisvai prieinamas internete | |
dc.source.uri | https://www.mdpi.com/2076-3417/9/15/3013 | |
dc.source.uri | https://doi.org/10.3390/app9153013 | |
dc.source.uri | https://talpykla.elaba.lt/elaba-fedora/objects/elaba:40251877/datastreams/MAIN/content | |
dc.title | FEM-Based compression fracture risk assessment in osteoporotic lumbar vertebra L1 | |
dc.type | Straipsnis Web of Science DB / Article in Web of Science DB | |
dcterms.accessRights | This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/) | |
dcterms.license | Creative Commons – Attribution – 4.0 International | |
dcterms.references | 52 | |
dc.type.pubtype | S1 - Straipsnis Web of Science DB / Web of Science DB article | |
dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
dc.contributor.institution | Vilniaus universitetas | |
dc.contributor.faculty | Mechanikos fakultetas / Faculty of Mechanics | |
dc.contributor.faculty | Statybos fakultetas / Faculty of Civil Engineering | |
dc.contributor.faculty | Fundamentinių mokslų fakultetas / Faculty of Fundamental Sciences | |
dc.contributor.department | Mechanikos mokslo institutas / Institute of Mechanical Science | |
dc.subject.researchfield | T 009 - Mechanikos inžinerija / Mechanical enginering | |
dc.subject.researchfield | M 001 - Medicina / Medicine | |
dc.subject.vgtuprioritizedfields | MC0404 - Bionika ir biomedicinos inžinerinės sistemos / Bionics and Biomedical Engineering Systems | |
dc.subject.ltspecializations | L105 - Sveikatos technologijos ir biotechnologijos / Health technologies and biotechnologies | |
dc.subject.en | bone tissue | |
dc.subject.en | elastoplasticity | |
dc.subject.en | finite element method | |
dc.subject.en | fracture risk | |
dc.subject.en | osteoporosis | |
dc.subject.en | trabeculae | |
dc.subject.en | trabecular bone score | |
dc.subject.en | vertebra | |
dcterms.sourcetitle | Applied sciences | |
dc.description.issue | iss. 15 | |
dc.description.volume | vol. 9 | |
dc.publisher.name | MDPI | |
dc.publisher.city | Basel | |
dc.identifier.doi | 000482134500068 | |
dc.identifier.doi | 10.3390/app9153013 | |
dc.identifier.elaba | 40251877 | |