Papers

2

Total Citations

7

H-Index

2

About

Valentina Rossi is a leading orthopedic researcher whose work centers on advancing unicompartmental knee arthroplasty (UKA) through precision planning and robotic assistance. Her major contributions lie in developing and validating image-based methods that use preoperative valgus stress radiographs to accurately anticipate bone resection thickness in medial UKA—a technique that enhances surgical accuracy and reduces intraoperative guesswork. In a landmark 2024 study (5 citations), she demonstrated how this protocol, validated with an image-based robotic system, reliably predicts the necessary tibial and femoral cuts. Expanding on this, her 2025 retrospective cohort study of 126 knees (2 citations) compared conventional versus robotic-assisted simultaneous bilateral medial UKA, finding that robotic assistance significantly improves radiographic accuracy while maintaining a safety profile comparable to traditional methods. This work is pivotal for patients with bilateral medial knee osteoarthritis, offering a pathway to more precise, one-stage surgical solutions. Rossi’s research is characterized by its direct clinical applicability, merging advanced imaging with robotic technology to optimize outcomes in joint preservation surgery.

Research Focus

Key Achievements

2
H-Index
2
Papers
7
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Valgus stress knee radiographs accurately anticipate the bone resection in medial unicompartmental knee arthroplasty: Protocol validation using an image‐based robotic system
5 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Hôpital de la Croix-Rousse, Federico II University Hospital

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago