Accuracy and reliability of full-length lower limb radiographs in the measurement of coronal alignment

3 pages•Published: July 12, 2018

Yifei Dai, Matthew Peterson and Katharine Wurm

Abstract

This study investigated the accuracy and reliability of using full-length lower limb radiographs to measure alignment outcomes of computer-assisted total knee arthroplasty. Simulated radiographs were created from cadaveric whole leg CT scans. Three analysts performed repeated measurement of the hip-knee-ankle (HKA) angle, blinded to the ID of the subject and image repetition. In addition, simulated radiographs with internal- /external- limb rotation were measured to assess sensitivity of the measurements. The result demonstrated high accuracy and reliability of the measurement, with low sensitivity to limb rotation. The findings supported the use of full-length lower limb radiographs to measure clinical outcomes in HKA.

Keyphrases: accuracy, computer assisted total knee arthroplasty, coronal alignment, full length radiograph, limb rotation, reliability

In: Wei Tian and Ferdinando Rodriguez Y Baena (editors). CAOS 2018. The 18th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery, vol 2, pages 36-38.

Links:	https://easychair.org/publications/paper/xgrV
	https://doi.org/10.29007/ppj9

BibTeX entry

@inproceedings{CAOS2018:Accuracy_reliability_full_length,
  author    = {Yifei Dai and Matthew Peterson and Katharine Wurm},
  title     = {Accuracy and reliability of full-length lower limb radiographs in the measurement of coronal alignment},
  booktitle = {CAOS 2018. The 18th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery},
  editor    = {Wei Tian and Ferdinando Rodriguez Y Baena},
  series    = {EPiC Series in Health Sciences},
  volume    = {2},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2398-5305},
  url       = {/publications/paper/xgrV},
  doi       = {10.29007/ppj9},
  pages     = {36-38},
  year      = {2018}}

Download PDF Open PDF in browser