Bridging theory and practice: A comprehensive algorithm for imageless total knee arthroplasty

Muhammad Sohail, Heung Soo Kim

Research output: Contribution to journalArticlepeer-review

Abstract

Total knee arthroplasty (TKA) is a surgical procedure to treat severe knee osteoarthritis. Among several techniques available for performing TKA, imageless TKA is known for achieving precise alignment while minimizing invasiveness. This work proposes a comprehensive algorithm for imageless TKA device to calculate the varus/valgus and flexion/extension angles, as well as resection depths for cutting planes at distal femur and proximal tibia. Moreover, the algorithm calculates the hip-knee-ankle (HKA) and flexion angles of the leg. Initially, the proposed algorithm was validated in a virtual environment using a CT-scanned bone model in Solidworks. Subsequently, for the real-world validation, a SoftBone model was resected with conventional intra and extramedullary rods and cross-checked with the proposed algorithm. For the third validation, another SoftBone model was resected with the proposed algorithm and cuts were measured with a vernier caliper. During this experiment, there was an error of approximately 1 mm for both femoral and tibial resection cases when using an infrared camera with an accuracy of ±0.5 mm. However, this error could be reduced using an infrared camera with higher accuracy.

Original languageEnglish
Article number108662
JournalComputers in Biology and Medicine
Volume177
DOIs
StatePublished - Jul 2024

Keywords

  • Bone resection
  • Hip
  • Imageless navigator
  • Knee and ankle angle calculation
  • Total knee arthroplasty

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