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Cited by 380

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Engineering bone: challenges and obstacles

Open access
Logeart-Avramoglou, D., Anagnostou, F., Bizios, R., Petite, H.·2005·Journal of Cellular and Molecular Medicine

Abstract

Repair of large bone defects is still a challenge for the orthopaedic, reconstructive and maxillo-facial surgeon. Availability of pluripotent stem cells from either autologous or allogenic sources and the potential of inducing the osteogenic phenotype is motivating exploration and development of custom-tailored materials known as "bioengineered bone constructs". In such cases, the clinical scenario involves either expansion of stem cells in monolayer and loading them into a porous scaffold prior to surgery or direct cell expansion within the scaffold, and implanting this novel construct back into the donor patient. In this review, we delineate, from an engineering perspective, the progress that has been made to date and the challenges remaining in successfully translating this promising (but not yet definitively established) approach from bench to the bed site.

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Metadata

Authors
Logeart-Avramoglou, D., Anagnostou, F., Bizios, R., & Petite, H.
Venue
Journal of Cellular and Molecular Medicine
Publisher
Wiley
Published
2005-01
Volume
9
Issue
1
Pages
72-84
ISSN
  • 1582-1838 (ISSN-L)
  • 1582-4934
OpenAlex
W2168902269
Cited by
380
References
2
FWCI
19.76
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Engineering bone: challenges and obstacles. https://app.cochat.ai/papers/10.1111/j.1582-4934.2005.tb00338.x
The paper
Logeart-Avramoglou, D., Anagnostou, F., Bizios, R., & Petite, H. (2005). Engineering bone: challenges and obstacles. Journal of Cellular and Molecular Medicine. https://doi.org/10.1111/j.1582-4934.2005.tb00338.x

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.