Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Vasculopathy as a mechanical barrier to cancer spread: Clinical evidence and a rheology-based model in lung cancer and other solid tumors.

Translational oncology·2026
Same author

Cardiovascular Responses to Natural and Auditory Evoked Slow Waves Predict Post-Sleep Cardiac Function.

Journal of sleep research·2026
Same author

Quantifying the Contribution of Bone Morphology to Implant Selection in Shoulder Arthroplasty Using CT-Based Deep Learning.

Bioengineering (Basel, Switzerland)·2026
Same author

Turning glasses into sensors: capacitive facial expression recognition under frame geometry constraints.

Physiological measurement·2026
Same author

Comment on: "Geometric deep learning for local growth prediction on abdominal aortic aneurysm surfaces".

Artificial intelligence in medicine·2026
Same author

Advancing Coronary Risk Assessment Through Combined Radiomic, Mechanical, and Hemodynamic Analysis.

Annals of biomedical engineering·2026

Related Experiment Video

Updated: Mar 15, 2026

Athymic Rat Model for Evaluation of Engineered Anterior Cruciate Ligament Grafts
10:32

Athymic Rat Model for Evaluation of Engineered Anterior Cruciate Ligament Grafts

Published on: March 26, 2015

10.9K

Navigated "small implants" in knee reconstruction.

Norberto Confalonieri1, Alessio Biazzo2, Pietro Cerveri3

  • 11st Orthopaedic and Trauma Department, CTO Hospital, ASST G. Pini-CTO, Milan, Italy. Norberto.confalonieri@gmail.com.

Knee Surgery, Sports Traumatology, Arthroscopy : Official Journal of the ESSKA
|September 16, 2016
PubMed
Summary

Less invasive knee surgery using computer navigation shows improved alignment but not necessarily better long-term outcomes for patients. Further research is needed to optimize these techniques for knee joint replacement.

Keywords:
Bi-unicompartmental knee arthroplastyComputer-assisted surgeryPatello-femoral arthroplastySmall implantsSoft-tissue-sparing surgeryTri-unicompartmental knee arthroplastyUnicompartmental knee arthroplasty

More Related Videos

The Use of Mixed Reality in Custom-Made Revision Hip Arthroplasty: A First Case Report
07:45

The Use of Mixed Reality in Custom-Made Revision Hip Arthroplasty: A First Case Report

Published on: August 4, 2022

3.9K
Use of Human Perivascular Stem Cells for Bone Regeneration
07:05

Use of Human Perivascular Stem Cells for Bone Regeneration

Published on: May 25, 2012

22.1K

Related Experiment Videos

Last Updated: Mar 15, 2026

Athymic Rat Model for Evaluation of Engineered Anterior Cruciate Ligament Grafts
10:32

Athymic Rat Model for Evaluation of Engineered Anterior Cruciate Ligament Grafts

Published on: March 26, 2015

10.9K
The Use of Mixed Reality in Custom-Made Revision Hip Arthroplasty: A First Case Report
07:45

The Use of Mixed Reality in Custom-Made Revision Hip Arthroplasty: A First Case Report

Published on: August 4, 2022

3.9K
Use of Human Perivascular Stem Cells for Bone Regeneration
07:05

Use of Human Perivascular Stem Cells for Bone Regeneration

Published on: May 25, 2012

22.1K

Area of Science:

  • Orthopedic surgery
  • Biomedical engineering

Background:

  • Growing interest in minimally invasive knee treatments since 2000.
  • Conventional total knee arthroplasty (TKA) and newer approaches using small implants are being explored.

Purpose of the Study:

  • Review literature on less invasive knee arthroplasty with computer navigation and small implants.
  • Compare personal results with existing literature.
  • Stimulate debate on customized approaches for younger, active patients.

Main Methods:

  • Literature review of computer-assisted and conventional knee arthroplasty techniques.
  • Analysis of studies on small implants and navigated surgery.
  • Comparison of short-term and long-term follow-up data.

Main Results:

  • Computer navigation in TKA shows potential for better survivorship in younger patients long-term.
  • Limited evidence supports superior short-term outcomes with navigated small implants.
  • Meta-analyses indicate better alignment with navigated unicompartmental knee arthroplasty but no improved clinical outcomes or survivorship.

Conclusions:

  • Preserving knee biomechanics requires innovative implant designs and advanced technologies for precise surgical adjustments.
  • Continuous feedback during surgery is crucial for successful knee compartment replacement.