Simini Surgery Review: Small Animal Edition

Veterinary Surgery October 2025 – Ortho Part 2: Predictive Modeling & Geometric Precision in Cruciate Surgery

Carl Damiani Season 1 Episode 23

In this Simini Small Animal Surgery Podcast episode, we continue our October 2025 orthopedic coverage by examining two forward-thinking studies on cranial cruciate ligament disease (CCLD) surgery. One leverages machine learning to predict postoperative risk, and the other offers precise geometric modeling for TPLO alternatives.

We cover:

Low et al. — Development of the PROSPECT machine learning model, trained on 670 stifle cases to predict surgical and medical complications after TPLO and CCWO. The model achieved 92.3% accuracy for surgical complications and revealed that complex interactions—like surgeon + technique—were more predictive than any single risk factor. This opens the door for individualized risk scoring and targeted intraoperative interventions, including enhanced infection control strategies.

Petchell et al. — A finite element modeling study evaluating a CORA-based CCWO technique (CCWO-CORA). Unlike older methods, this approach consistently delivered a post-op tibial plateau angle (TPA) of exactly 5.0°—regardless of breed or starting slope. By controlling the mechanical axis advancement (MAA) and wedge angle, the technique offers zero angular variability and preserved tibial length, with customizable MAA options to facilitate plating in steep-sloped breeds.

🎓 Journal Articles Discussed:

  • Low et al. — Machine-learning prediction of postoperative complications
    after high tibial osteotomy for canine cranial
    cruciate ligament disease
  • Petchell et al. — An in silico comparison of a novel CORA-based cranial
    closing wedge ostectomy methodology with three
    other techniques
    📚 From the October 2025 issue of Veterinary Surgery

🎁 Learn more about Simini Protect Lavage or request a sample:
 👉 www.simini.com

👉 Request a Sample