Evidence map›Paper›PMID 32775740›Full record

ArticleHeliyon2020

A novel method for determining the Femoral-Tibial Angle of Knee Osteoarthritis on X-ray radiographs: data from the Osteoarthritis Initiative.

Rima Tri Wahyuningrum, I Ketut Eddy Purnama, Gijsbertus Jacob Verkerke, Peter M A van Ooijen, Mauridhi Hery Purnomo

Abstract read
In one paragraph

Article in Heliyon, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Femorotibial angle scan-rescan reproducibility: A high-precision calculation on a large cohort.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2024
    Article
  2. Review
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

5 authors.

Rima Tri WahyuningrumDepartment of Electrical Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia.
I Ketut Eddy PurnamaDepartment of Electrical Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia.
Gijsbertus Jacob VerkerkeDepartment of Rehabilitation Medicine, University of Groningen, University Medical Center Groningen, the Netherlands.
Peter M A van OoijenDepartment of Radiation Oncology, University of Groningen, University Medical Center Groningen, the Netherlands.
Mauridhi Hery PurnomoDepartment of Electrical Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Femoral-tibial alignment is a prominent risk factor for Knee Osteoarthritis (KOA) incidence and progression. One way of assessing alignment is by determining the Femoral-Tibial Angle (FTA). Several studies have investigated FTA determination; however, methods of assessment of FTA still present challenges. This paper introduces a new method for semi-automatic measurement of FTA as part of KOA research. Our novel approach combines preprocessing of X-ray images and the use of Active Shape Model (ASM) as the femoral and tibial segmentation method, followed by a thinning process. The result of the thinning process is used to predict FTA automatically by measuring the angle between the intersection of the two vectors of branching points on the femoral and tibial areas. The proposed method is trained on 10 x-ray images and tested on 50 different x-ray images of the Osteoarthritis Initiative (OAI) dataset. The outcomes of this approach were compared with manually obtained FTA measurements from the OAI dataset as the ground truth. Based on experiments, the difference in measurement results between the FTA of the OAI and the FTA obtained using our method is quite small, i.e., below 0.81° for the right FTA and below 0.77° for the left FTA with minimal average errors. This result indicates that this method is clinically suitable for semi-automatic measurement of the FTA.

Indexed as

Active shape modelComputer scienceFemoral-tibial angleKnee osteoarthritisMedical imagingX-ray

Identifiers

PMID32775740
PMCPMC7404555

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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.