2024
DOI: 10.1016/j.arth.2024.03.053
|View full text |Cite
|
Sign up to set email alerts
|

Who Are the Anatomic Outliers Undergoing Total Knee Arthroplasty? A Computed Tomography–Based Analysis of the Hip-Knee-Ankle Axis Across 1,352 Preoperative Computed Tomographies Using a Deep Learning and Computer Vision–Based Pipeline

Joshua J. Woo,
Faizaan R. Vidhani,
Yibin B. Zhang
et al.
Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
1
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 23 publications
0
1
0
Order By: Relevance
“…Another group tried to define normality based on anatomical value distribution [38]. Measuring 27 anatomical metrics on 1352 pre-TKA lower limb CT scans, the authors determined that 31% of patients were identified as anatomic outliers, defined as patients whose lower limb anatomy fell below the 15th percentile or above the 85th percentile in nine or more of the 27 measured parameters.…”
mentioning
confidence: 99%
“…Another group tried to define normality based on anatomical value distribution [38]. Measuring 27 anatomical metrics on 1352 pre-TKA lower limb CT scans, the authors determined that 31% of patients were identified as anatomic outliers, defined as patients whose lower limb anatomy fell below the 15th percentile or above the 85th percentile in nine or more of the 27 measured parameters.…”
mentioning
confidence: 99%