Evidence map›Paper›PMID 31842802›Full record

ArticleBMC ophthalmology2019

An accurate interactive segmentation and volume calculation of orbital soft tissue for orbital reconstruction after enucleation.

Qingyao Ning, Xiaoyao Yu, Qi Gao, Jiajun Xie, Chunlei Yao, Kun Zhou, Juan Ye

Open access · goldAbstract readComparative StudyValidation Study
In one paragraph

Article in BMC ophthalmology, 2019. 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
0.7field-weighted citation impact, top 23% 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, 7 citations in OpenAlex.

  1. Observational
  2. Article
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

7 authors at 2 institutions in 1 country.

Qingyao NingDepartment of Ophthalmology, the Second Affiliated Hospital of Zhejiang University, College of Medicine, No. 88 Jiefang Road, Hangzhou, 310009, Zhejiang Province, China.
Xiaoyao YuState Key Lab of CAD & CG, Zhejiang University, No. 886 Yuhangtang Road, Hangzhou, 310058, Zhejiang Province, China.
Qi GaoDepartment of Ophthalmology, the Second Affiliated Hospital of Zhejiang University, College of Medicine, No. 88 Jiefang Road, Hangzhou, 310009, Zhejiang Province, China.
Jiajun XieDepartment of Ophthalmology, the Second Affiliated Hospital of Zhejiang University, College of Medicine, No. 88 Jiefang Road, Hangzhou, 310009, Zhejiang Province, China.
Chunlei YaoDepartment of Ophthalmology, the Second Affiliated Hospital of Zhejiang University, College of Medicine, No. 88 Jiefang Road, Hangzhou, 310009, Zhejiang Province, China.
Kun ZhouState Key Lab of CAD & CG, Zhejiang University, No. 886 Yuhangtang Road, Hangzhou, 310058, Zhejiang Province, China. kunzhou@zju.edu.cn.
Juan YeDepartment of Ophthalmology, the Second Affiliated Hospital of Zhejiang University, College of Medicine, No. 88 Jiefang Road, Hangzhou, 310009, Zhejiang Province, China. yejuan@zju.edu.cn.ORCID http://orcid.org/0000-0002-5282-770X
Second Affiliated Hospital of Zhejiang University · CNZhejiang University · CN

Funding

National Natural Science Foundation of China 81670888Province Ministry Co-Sponsored Foundation of Great Science and Technology Fund of Health Program of Zhejiang Province 2016137996
6 · The paper itself

Abstract

backgroundAccurate measurement and reconstruction of orbital soft tissue is important to diagnosis and treatment of orbital diseases. This study applied an interactive graph cut method to orbital soft tissue precise segmentation and calculation in computerized tomography (CT) images, and to estimate its application in orbital reconstruction.

methodsThe interactive graph cut method was introduced to segment extraocular muscle and intraorbital fat in CT images. Intra- and inter-observer variability of tissue volume measured by graph cut segmentation was validated. Accuracy and reliability of the method was accessed by comparing with manual delineation and commercial medical image software. Intraorbital structure of 10 patients after enucleation surgery was reconstructed based on graph cut segmentation and soft tissue volume were compared within two different surgical techniques.

resultsBoth muscle and fat tissue segmentation results of graph cut method showed good consistency with ground truth in phantom data. There were no significant differences in muscle calculations between observers or segmental methods (p > 0.05). Graph cut results of fat tissue had coincidental variable trend with ground truth which could identify 0.1cm

conclusionThe graph cut method was validated to have good accuracy, reliability and efficiency in orbit soft tissue segmentation. It could discern minor volume changes of soft tissue. The interactive segmenting technique would be a valuable tool for dynamic analysis and prediction of therapeutic effect and orbital reconstruction.

Indexed as

Eye EnucleationPlastic Surgery ProceduresAdipose TissueAlgorithmsFemaleHumansImaging, Three-DimensionalMaleObserver VariationOculomotor MusclesOrbitOrbital ImplantsPhantoms, ImagingReproducibility of ResultsSoftwareTomography, X-Ray ComputedComputerized tomographyOrbital reconstructionOrbit soft tissueTissue segmentation

Identifiers

PMID31842802
PMCPMC6916112
OpenAlexW2995067714

What OpenQuestion holds

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Registered trials

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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.