Evidence map›Paper›PMID 33963919›Full record

ArticleGraefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie2021

Analysis of surgical outcome after upper eyelid surgery by computer vision algorithm using face and facial landmark detection.

İlke Bahçeci Şimşek, Can Şirolu

Abstract read
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In one paragraph

Article in Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
4.5field-weighted citation impact, top 5% 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

18 citing papers in PubMed, 39 citations in OpenAlex.

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  12. 2D photos are great, but what about 3D imaging?Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2022
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  13. Answer to Letter to the Editor "2D photos are great, but what about 3D imaging?"Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

İlke Bahçeci ŞimşekDepartment of Ophthalmology, Oculoplastic Division, Yeditepe University Medical School, Şakir Kesebir Cad., Gazi Umur Paşa Sok., No: 28 Balmumcu, Istanbul, Turkey. ilke.simsek@yeditepe.edu.tr.ORCID http://orcid.org/0000-0002-8499-6823
Can ŞiroluDepartment of Ophthalmology, Yeditepe University Medical School, Istanbul, Turkey.
Yeditepe University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo evaluate the postoperative changes with a computer vision algorithm for anterior full-face photographs of patients who have undergone upper eyelid blepharoplasty surgery with, or without, a Müller's muscle-conjunctival resection (MMCR).

methodsAll patients who underwent upper eyelid blepharoplasty surgery (Group I), or upper eyelid blepharoplasty with MMCR (Group II) were included. Both preoperative and 6-month postoperative anterior full-face photographs of 55 patients were analyzed. Computer vision and image processing technologies were used to measure the palpebral distance (PD), eye-opening area (EA), and average eyebrow height (AEBH) for both eyes. Preoperative and postoperative measurements were calculated and compared between the two groups.

resultsIn Group II, change in postoperative Right PD, Left PD, Right EA, Left EA was significantly higher than in Group I (p = 0.004 for REPD; p = 0.001 for LEPD; p = 0.004 for REA; p = 0.002 for LEA, p < 0.05). In Group II, the postoperative change in Right AEBH, Left AEBH was significantly higher than in Group I (p = 0.001 for RABH and LABH, p < 0.05).

conclusionEyelid surgery for esthetic purposes requires artistic judgment and objective evaluation. Because of the slight differences in photograph sizes and dynamic factors of the face due to head movements and facial expressions, it is hard to compare and make a truly objective evaluation of the eyelid operations. With a computer vision algorithm, using the face and facial landmark detection system, the photographs are normalized and calibrated. This system offers a simple, standardized, objective, and repeatable method of patient assessment. This can be the first step of Artificial Intelligence algorithm to evaluate the patients who had undergone eyelid operations.

Indexed as

BlepharoplastyBlepharoptosisArtificial IntelligenceComputersEyelidsHumansProhibitinsRetrospective StudiesTreatment OutcomeProhibitinsArtificial intelligenceComputer vision algorithmFace and facial landmark detectionMüller’s muscle-conjunctival resectionPtosis surgeryUpper eyelid blepharoplasty

Identifiers

PMID33963919
OpenAlexW3159783528

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.