A deep learning and statistical shape modeling-based method for assessing intercondylar notch volume in anterior cruciate ligament reconstruction

By examining notch volume and its variability in ACL-injured patients, it is possible to understand the complex anatomy of the intercondylar notch and tailor ACL reconstructions accordingly.

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Publication Details

Journal
The Knee
Published
2025-02-28
DOI
https://doi.org/10.1016/j.knee.2025.02.009
Citations
1
Primary Topic
Total Knee Arthroplasty Outcomes
Type
article
Field-Weighted Citation Impact
2.01
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article

A deep learning and statistical shape modeling-based method for assessing intercondylar notch volume in anterior cruciate ligament reconstruction

Caterina Rizzi, Miri Cohen, Daniele Regazzoni, Anna Ghidotti et al.
1 citations
The Knee
Total Knee Arthroplasty Outcomes
2.01
article

A deep learning and statistical shape modeling-based method for assessing intercondylar notch volume in anterior cruciate ligament reconstruction

Caterina Rizzi, Miri Cohen, Daniele Regazzoni, Anna Ghidotti, Vincenzo Condello
article en
1 citations

Abstract

By examining notch volume and its variability in ACL-injured patients, it is possible to understand the complex anatomy of the intercondylar notch and tailor ACL reconstructions accordingly.

The KneeVol. 54
University of Bergamo (IT), Braude College of Engineering Karmiel (IL), Humanitas Castelli (IT)
Openalex Percentile: Top 18%
Total Knee Arthroplasty Outcomes
2.01
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