Evidence map›Paper›PMID 37553353›Full record

ArticleScientific reports2023

Automated correction angle calculation in high tibial osteotomy planning.

Karol Przystalski, Anna Paleczek, Karol Szustakowski, Piotr Wawryka, Michał Jungiewicz, Mateusz Zalewski, Jakub Kwiatkowski, Artur Gądek, Krzysztof Miśkowiec

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

  1. Review
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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

9 authors.

Karol Przystalski *Medtransfer, Na Zjeździe 11, 31353, Kraków, Poland. karol.przystalski@uj.edu.pl.
Anna Paleczek *Faculty of Computer Science, Electronics and Telecommunications, AGH University of Science and Technology, Mickiewicza 30, 30059, Kraków, Poland.
Karol Szustakowski *Faculty of Computer Science, Electronics and Telecommunications, AGH University of Science and Technology, Mickiewicza 30, 30059, Kraków, Poland.
Piotr Wawryka *Faculty of Computer Science, Electronics and Telecommunications, AGH University of Science and Technology, Mickiewicza 30, 30059, Kraków, Poland.
Michał Jungiewicz *Faculty of Computer Science, Electronics and Telecommunications, AGH University of Science and Technology, Mickiewicza 30, 30059, Kraków, Poland.
Mateusz Zalewski *Ortotop, Ludwinowska 11/9, 30331, Kraków, Poland.
Jakub Kwiatkowski *Trauma and Orthopaedics Clinical Department, University Hospital in Cracow, Jakubowskiego 2, 30688, Kraków, Poland.
Artur Gądek *Trauma and Orthopaedics Clinical Department, University Hospital in Cracow, Jakubowskiego 2, 30688, Kraków, Poland.
Krzysztof Miśkowiec *Trauma and Orthopaedics Clinical Department, University Hospital in Cracow, Jakubowskiego 2, 30688, Kraków, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High tibial osteotomy correction angle calculation is a process that is usually performed manually or in a semi-automated way. The process, according to the Miniaci method, is divided into several stages to find specific points: the center of the femoral head, the edges of the tibial plateau, the Fujisawa point, the center of the ankle joint, and the Hinge point. In this paper, we proposed an end-to-end approach that consists of different techniques for finding each point. We used YOLOv4 to detect regions of interest. To identify the center of the femoral head, we used the YOLOv4 and the Hough transform. For the other points, we used a combined method of YOLOv4 with the ASM/AAM algorithm and YOLOv4 with image processing algorithms. Our fully-automated method achieved a mean error rate of 0.5[Formula: see text] (0[Formula: see text]-2.76[Formula: see text]) ICC 0.99 (0.98-0.99) 95% CI on our own dataset of standing long-leg Anterior Posterior view X-rays. This might be the first method that automatically calculates the correction angle of high tibial osteotomy.

Indexed as

Osteoarthritis, KneeTibiaFemur HeadHumansKnee JointOsteotomyRadiographyRetrospective StudiesStanding Position

Identifiers

PMID37553353
PMCPMC10409734

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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.