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WEIGHT-BEARING COMPUTED TOMOGRAPHY OF THE FOOT AND ANKLE: AN UPDATE AND FUTURE DIRECTIONS

Overview of attention for article published in Acta Ortopédica Brasileira, April 2018
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Title
WEIGHT-BEARING COMPUTED TOMOGRAPHY OF THE FOOT AND ANKLE: AN UPDATE AND FUTURE DIRECTIONS
Published in
Acta Ortopédica Brasileira, April 2018
DOI 10.1590/1413-785220182602188482
Pubmed ID
Authors

ALEXANDRE LEME GODOY-SANTOS, CESAR DE CESAR

Abstract

Spatial understanding of osteoarticular deformities of the foot and ankle is vital to correct diagnosis and therapeutic decision making. Poor reproducibility in conventional standing radiography in three orthogonal views has driven the development of weight-bearing computed tomography (WBCT) technology over the last decade. We analyzed the available literature on WBCT imaging in patients with foot and ankle disorders by performing a literature review of relevant clinical studies in multiple databases including PubMed, MedLine, and Scopus from January 1999 to October 2017. WBCT imaging allows correct evaluation of foot and ankle anatomy with the patient in a standing position, providing images with high spatial resolution, short image acquisition time, low dose of radiation, and costs which are similar to other available imaging technologies. This diagnostic tool can be used for decision making in the treatment of deformities of the ankle, hindfoot, midfoot, and forefoot. Level of Evidence III; Systematic review of level III studies.

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Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 20%
Student > Postgraduate 7 14%
Student > Master 5 10%
Student > Ph. D. Student 5 10%
Professor 3 6%
Other 8 16%
Unknown 13 25%
Readers by discipline Count As %
Medicine and Dentistry 20 39%
Engineering 6 12%
Nursing and Health Professions 2 4%
Business, Management and Accounting 1 2%
Computer Science 1 2%
Other 3 6%
Unknown 18 35%