Evidence map›Paper›PMID 29785589›Full record

ArticleInternational journal of computer assisted radiology and surgery2018

A novel technology for 3D knee prosthesis planning and treatment evaluation using 2D X-ray radiographs: a clinical evaluation.

Guoyan Zheng, Hagen Hommel, Alper Akcoltekin, Benedikt Thelen, Jan Stifter, Geert Peersman

Abstract read
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In one paragraph

Article in International journal of computer assisted radiology and surgery, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.4field-weighted citation impact, top 19% of its field
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

7 citing papers in PubMed, 17 citations in OpenAlex.

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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

6 authors at 3 institutions in 4 countries.

Guoyan ZhengInstitute for Surgical Technology and Biomechanics, University of Bern, Bern, Switzerland. guoyan.zheng@istb.unibe.ch.ORCID http://orcid.org/0000-0003-4173-0379
Hagen HommelClinic for Orthopedic, Sports Medicine and Rehabilitation, Krankenhaus Mrkisch Oderland GmbH, Wriezen, Germany.
Alper AkcoltekinInstitute for Surgical Technology and Biomechanics, University of Bern, Bern, Switzerland.
Benedikt ThelenInstitute for Surgical Technology and Biomechanics, University of Bern, Bern, Switzerland.
Jan StifterMedivation AG, Brugg, Switzerland.
Geert PeersmanInstitute for Orthopaedic Research and Training, KU Leuven, Campus Pellenberg, Louvain, Belgium.
University of Bern · CHKrankenhaus Märkisch-Oderland · DEKU Leuven · BE

Funding

Swiss Commission for Technology and Innovation (CTI) CTI 18193.1 PFLS-LS
6 · The paper itself

Abstract

purposeTo present a clinical validation of a novel technology called "3X" which allows for 3D prosthesis planning and treatment evaluation in total knee arthroplasty (TKA) using only 2D X-ray radiographs. MATERIALS AND

methodsAfter local institution review board approvals, 3X was evaluated on 43 cases (23 for preoperative planning and 20 for postoperative treatment evaluation). All the patients underwent CT scans according to a standard protocol. The results measured on the CT data were regarded as the ground truth. Additionally, two X-ray images were acquired for each affected leg and were used by 3X technology to derive patient-specific measurements of the leg. In total, we compared seven parameters for planning TKA and five parameters for postoperative prosthesis alignment.

resultsOur experimental results demonstrated that the mean distances between the surface models reconstructed from 2D X-rays and the associated surface models obtained from 3D CT data were smaller than 1.5 mm. The average differences for all angular parameters were smaller than [Formula: see text]. In over 78% cases 3X technology derived the same femoral component size as the CT-based ground truth and this value went down to 70% when 3X technology was used to predict the size of tibial component.

conclusion3X is a technology that allows for true 3D preoperative planning and postoperative treatment evaluation based on 2D X-ray radiographs.

Indexed as

Knee ProsthesisArthroplasty, Replacement, KneeHumansImaging, Three-DimensionalKnee JointRadiographyReproducibility of Results2D–3D reconstructionClinical validationPlanningTotal knee arthroplastyTreatment evaluation

Identifiers

PMID29785589
OpenAlexW2803727418

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.