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Adaptive Probabilistic Approach for Selecting Tumour Knee Prosthesis

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Title Adaptive Probabilistic Approach for Selecting Tumour Knee Prosthesis
 
Creator GHYAR, R
SUBBURAJ, K
RAVI, B
AGARWAL, M
 
Subject tumour knee prosthesis
prosthesis selection
3D anatomical models
preoperative planning
IMPLANT SELECTION
LIMB SALVAGE
ARTHROPLASTY
STANDARDIZATION
REPLACEMENT
SURGERY
 
Description Tumour knee prostheses reconstruct bone gaps, left after resecting the tumour affected tissues, in limb salvage surgeries of bone cancer patients. They typically comprise of 6-12 different components chosen from a family of components that are manufactured in discrete variations (intended to cater to a wide range of patient conditions including gender, tumour position, leg (left/right), and resection length). These variations generate numerous combinations and selecting a correct set of components from a family of 100 or more total components has made the process difficult for a given patient. This article describes an adaptive probabilistic approach developed for selection of tumour knee prosthesis components, driven by geometric details. These details were extracted from the 3D virtual anatomical model, reconstructed from set of CT scan images of patients. The selection was performed in two steps. First, the grossly undersized and oversized components were eliminated. Then the geometric details of components were mapped, with the measured anatomical parameters of the patient, to form a fuzzy-logic based decision tree. This was based on pre-defined rules compiled from surgeons' experience. A set of measures (geometric difference, bone curvature, knee centre shift, and reconstruction length) were used to evaluate the selected prosthesis components. Evaluation was based on their suitability with respect to the patient's anatomy, and classified with a qualitative tag: 'most suitable', 'probably suitable', or 'not suitable'. A case study of distal femur replacement is presented to explain the proposed methodology. This approach eliminates the risk of over and under sizing of the prosthesis components and reduces the average inventory to be maintained for each patient.
 
Publisher COMSIS CONSORTIUM
 
Date 2014-10-16T13:32:01Z
2014-10-16T13:32:01Z
2013
 
Type Article
 
Identifier COMPUTER SCIENCE AND INFORMATION SYSTEMS, 10(3)1407-1428
http://dx.doi.org/10.2298/CSIS120405055G
http://dspace.library.iitb.ac.in/jspui/handle/100/15673
 
Language en