Ross Crawford
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One shot three-dimensional reconstruction of human anatomy and motion
Open Date: 2017-01-01
Close Date: 2019-12-31
Grant: Close
Coupling an injectable gel and MSC microtissues to enhance cartilage repair
Open Date: 2015-01-01
Close Date: 2017-01-01
Grant: Close
Hypoxia-mimicking bio-scaffold for skeleton regeneration
Open Date: 2012-01-01
Close Date: 2014-12-31
Grant: Close
MAPK/ERK pathway in osteoarthritis
Open Date: 2012-01-01
Close Date: 2016-01-01
Grant: Close
The development of new scaffolds for bone repair comprising polycaprolactone and strontium-substituted bioactive glasses
Open Date: 2011-01-01
Close Date: 2014-12-31
Articles (11)
What Is the Correlation between Coronal Plane Alignment Measured on Pre- and Postoperative Weight-bearing Radiographs and Intraoperative Navigation When Stress Is Applied to the Knee?
This study examines the correlation between the weight-bearing (WB) long leg radiograph (LLR)-derived hip–knee–ankle angle (HKAA) and intraoperative supine computer-assisted surgery (CAS)-derived HKAA measurements at the beginning and end of total knee arthroplasty (TKA). The primary aim of the study was to determine if WB alignment could be mimicked or inferred based on intraoperative alignment findings. We conducted a prospective analysis from a cohort of 129 TKAs undergoing a CAS TKA at a single center by a single surgeon. The HKAA was recorded using the CAS navigation system immediately postregistration of navigation data and after implantation of the prosthesis. The intraoperative HKAA was recorded in both the supine “resting” position of the knee and also while the knee was manipulated in an effort to replicate the patient's WB alignment. These measurements were compared with the HKAA recorded on pre- and postoperative WB LLRs. There was a strong correlation between the preoperative WB LLR HKAA and the intraoperative preimplant CAS-derived stressed HKAA (R = 0.946). However, there was no correlation between the postoperative WB LLR HKAA and the postimplant insertion HKAA as measured intraoperatively via CAS for either a “resting” or “stressed” position of the operated knee (R = 0.165 and R = 0.041, respectively). Thus, the interpretation of intraoperative alignment data is potentially problematic. Despite technological advances in the development and utilization of computer navigation and robotics in arthroplasty to help obtain the optimal alignment, it would seem apparent from our study that this alignment does not correlate to upright stance postoperatively. Surgeons should apply caution to the strength of assumptions they place on intraoperative coronal plane alignment findings.
Year:
2024
Collaborators (7)
Sarah Whitehouse
Queensland University of Technology
Nicholas Graves
Professor
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Clare Villalba
Queensland University of Technology
Jonathan Roberts
Queensland University of Technology
Liao Wu
UNSW Sydney
Ajay Pandey
Associate Professor
Queensland University of Technology
Jared Donovan
Queensland University of Technology

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