Evidence map›Paper›PMID 32740682›Full record

ArticleJournal of medical systems2020

Visual Breast Asymmetry Assessment with Optical-Flow Algorithm.

Javier Monton, Nitzan Kenig, Ricardo Insausti, Joaquin Jordan

Abstract read
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In one paragraph

Article in Journal of medical systems, 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
0.5field-weighted citation impact, top 29% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
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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

4 authors at 2 institutions in 1 country.

Javier MontonPlastic Surgery Department, Albacete University Hospital, Castilla-La Mancha Health Service (SESCAM), Albacete, Spain. Javier.Monton@uclm.es.ORCID https://orcid.org/0000-0001-5730-8637
Nitzan KenigPlastic Surgery Department, Albacete University Hospital, Castilla-La Mancha Health Service (SESCAM), Albacete, Spain.ORCID https://orcid.org/0000-0002-8914-5438
Ricardo InsaustiAnatomy and Embryology Unit, Faculty of Medicine, University of Castilla-La Mancha (UCLM), Albacete, Spain.ORCID https://orcid.org/0000-0001-6610-5882
Joaquin JordanPharmacology Unit, Faculty of Medicine, University of Castilla-La Mancha (UCLM), Albacete, Spain.ORCID https://orcid.org/0000-0002-6809-3384
Servicio de Salud de Castilla La Mancha · ESUniversity of Castilla-La Mancha · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast surgery is one of the most important procedures in cosmetic and reconstructive surgery. However, there is no ideal method to assess results. One of the greatest difficulties is the subjective aspect of evaluation. In recent years, several objective computer systems have been proposed and validated as assessment methods, such as BCCT®, OBCS®, GBAI©, etc. In this study, we propose a novel system named VIBA©, that uses an Optical Flow (OF) algorithm which objectively classifies results into symmetrical and asymmetrical categories, with a numerical score. Software was developed in MATLAB (MATLAB and Statistics Toolbox Release 2018b, The MathWorks, Inc., Natick, Massachusetts, USA) called VIBA-Calc© (VIBA stands for VIsual Breast Asymmetry). We compared our OF score with the well-established asymmetry scoring system called Objective Breast Cosmesis Scale (OBCS®). In order to do so, we studied 100 frontal photographs of patients who underwent aesthetic breast surgery between 2017 and 2018, from the senior author's private practice. VIBA-Calc© allows the user to load an image and then draw a rectangle containing both breasts. By simply clicking on a button, the program finds the midline of the rectangle and calculates the final score, as well as the color map of asymmetric regions. Classification into symmetric or asymmetric categories using OBCS and VIBA scores agreed in most cases. Concordance between both classification systems was almost perfect in the group of postoperative cases (k = 0.84; p < 0.001), and substantial in preoperative cases (k = 0.76; p < 0.001). Global Cohen's kappa coefficient was 0.80 (p < 0.001). VIBA© is a useful tool for pre- and post-operative evaluation of breasts, that could be used both in reconstructive and aesthetic surgery.

Indexed as

Breast NeoplasmsMastectomy, SegmentalOptic FlowAlgorithmsEstheticsHumansPhotographyAestheticsBreastPlastic surgeryReproducibility of results

Identifiers

PMID32740682
OpenAlexW3046883297

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.