Evidence map›Paper›PMID 39204964›Full record

ArticleSensors (Basel, Switzerland)2024

DEIT-Based Bone Position and Orientation Estimation for Robotic Support in Total Knee Arthroplasty-A Computational Feasibility Study.

Jakob Schrott, Sabrina Affortunati, Christian Stadler, Christoph Hintermüller

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Jakob SchrottInstitute of Measurement Technology, Johannes Kepler University, 4020 Linz, Austria.
Sabrina AffortunatiInstitute of Measurement Technology, Johannes Kepler University, 4020 Linz, Austria.
Christian StadlerDepartment for Orthopedics and Traumatology, Kepler University Hospital, 4020 Linz, Austria.ORCID 0000-0002-4498-7199
Christoph HintermüllerInstitute for Biomedical Mechatronics, Johannes Kepler University, 4020 Linz, Austria.ORCID 0000-0002-9132-4216

Funding

Linz Center of Mechatronics (Austria) Austrian COMET-K2 programme
6 · The paper itself

Abstract

Total knee arthroplasty (TKA) is a well-established and successful treatment option for patients with end-stage osteoarthritis of the knee, providing high patient satisfaction. Robotic systems have been widely adopted to perform TKA in orthopaedic centres. The exact spatial positions of the femur and tibia are usually determined through pinned trackers, providing the surgeon with an exact illustration of the axis of the lower limb. The drilling of holes required for mounting the trackers creates weak spots, causing adverse events such as bone fracture. In the presented computational feasibility study, time differential electrical impedance tomography is used to locate the femur positions, thereby the difference in conductivity distribution between two distinct states s0 and s1 of the measured object is reconstructed. The overall approach was tested by simulating five different configurations of thigh shape and considered tissue conductivity distributions. For the cylinder models used for verification and reference, the reconstructed position deviated by about ≈1 mm from the actual bone centre. In case of models mimicking a realistic cross section of the femur position deviated between 7.9 mm 24.8 mm. For all models, the bone axis was off by about φ=1.50° from its actual position.

Indexed as

Arthroplasty, Replacement, KneeFeasibility StudiesFemurRobotic Surgical ProceduresTibiaElectric ImpedanceHumansaxial orientation estimationdifferential electrical impedance tomographyposition estimationrobotic supporttotal knee arthroplasty

Identifiers

PMID39204964
PMCPMC11359506

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.