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Engineering Mineralized and Load Bearing Tissues

Overview of attention for book
Attention for Chapter 10: Anterior Cruciate Ligament: Structure, Injuries and Regenerative Treatments.
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Chapter title
Anterior Cruciate Ligament: Structure, Injuries and Regenerative Treatments.
Chapter number 10
Book title
Engineering Mineralized and Load Bearing Tissues
Published in
Advances in experimental medicine and biology, January 2015
DOI 10.1007/978-3-319-22345-2_10
Pubmed ID
Book ISBNs
978-3-31-922344-5, 978-3-31-922345-2
Authors

Negahi Shirazi, Ali, Chrzanowski, Wojciech, Khademhosseini, Ali, Dehghani, Fariba, Ali Negahi Shirazi, Wojciech Chrzanowski, Ali Khademhosseini, Fariba Dehghani

Abstract

Anterior cruciate ligament (ACL) is one of the most vulnerable ligaments of the knee. ACL impairment results in episodic instability, chondral and meniscal injury and early osteoarthritis. The poor self-healing capacity of ACL makes surgical treatment inevitable. Current ACL reconstructions include a substitution of torn ACL via biological grafts such as autograft, allograft. This review provides an insight of ACL structure, orientation and properties followed by comparing the performance of various constructs that have been used for ACL replacement. New approaches, undertaken to induce ACL regeneration and fabricate biomimetic scaffolds, are also discussed.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 81 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 21 26%
Student > Master 13 16%
Researcher 7 9%
Lecturer 4 5%
Student > Ph. D. Student 4 5%
Other 10 12%
Unknown 22 27%
Readers by discipline Count As %
Medicine and Dentistry 13 16%
Nursing and Health Professions 10 12%
Engineering 10 12%
Biochemistry, Genetics and Molecular Biology 4 5%
Agricultural and Biological Sciences 3 4%
Other 16 20%
Unknown 25 31%