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临床试验/CTRI/2026/01/102040
CTRI/2026/01/102040尚未招募不适用

Knee Phenotyping Prior To Total Knee Arthroplasty : Can We Eliminate The Need of Long Leg Radiographs With An Imageless Robotic System?

Dr. Adit Maniar1 个研究点 分布在 1 个国家目标入组 50 人开始时间: 2026年2月9日最近更新:

试验速览

阶段
不适用
状态
尚未招募
发起方
入组人数
50
试验地点
1

研究概览

简要总结

a) Background: Robot Assisted Total Knee Arthroplasty (RA TKA) has been shown to have increased accuracy and precision [1,2]. In recent years we have better understood the importance of  knee phenotypes based on bony morphology on the outcomes of TKA [3-5]. There are multiple different systems used to classify these knee phenotypes [6,7]. All of them use three main angle measurements: hip-knee-ankle angle (HKA), mechanical medial proximal tibial angle (mMPTA) and mechanical  lateral distal femoral angle (mLDFA). To measure these parameters, we need a standing long leg radiograph. However, this involves increased radiation exposure and can be time consuming.

b) Lacunae / Justification : Currently, there is no alternative to long leg radiographs for the measurement of these three angles. We have developed a way to measure these parameters intraoperatively and postoperative processing of the data by the engineering team. So far there is no study validating the use of this technique to measure these angles. By validating our technique, our aim is to eliminate the need of preoperative long leg radiographs to measure these parameters.

研究设计

研究类型
Observational

入排标准

年龄范围
18.00 Year(s) 至 90.00 Year(s)(—)
性别
All

入选标准

  • Undergoing Primary unilateral or bilateral Robotic assisteted total knee arthroplasty ii.
  • Able to stand without support preoperatively iii.
  • Agreeing to participate in the study.

排除标准

  • Undergoing revision or unicompartmental knee arthroplasty ii.
  • Previous injury to lower limb leading to an extra articular deformity iii.
  • Unable to stand without support preoperatively iv.
  • Not willing to participate.

研究者

发起方
Dr. Adit Maniar
申办方类型
Other [Principal Investigator]
责任方
Principal Investigator
主要研究者

Dr Adit Maniar

Lilavati Hospital and Research Centre

研究点 (1)

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