Evidence map›Paper›PMID 39224436›Full record

ArticleFrontiers in cell and developmental biology2024

Application of the full-width-at-half-maximum image segmentation method to analyse retinal vascular changes in patients with internal carotid artery stenosis.

Ligang Jiang, Mengting Liu, Meiting Yu, Wei Lu, Zhe Zhang, Yuhua Tong

Abstract read
In one paragraph

Article in Frontiers in cell and developmental biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Automated optical coherence tomography quantification of retinal wall-to-lumen alterations in preeclampsia.Hypertension research : official journal of the Japanese Society of Hypertension · 2026
    Article
  2. Interocular asymmetry of fundus characteristics in patients with unilateral severe carotid artery stenosis.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2026
    Article
  3. Article
  4. Article
4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Ligang JiangQuzhou Aliated Hospital of Wenzhou Medical University, Quzhou People's Hospital, Quzhou, Zhejiang, China.
Mengting LiuThe Second Xiang Ya Hospital, Central South University, Changsha, Hunan, China.
Meiting YuQuzhou Aliated Hospital of Wenzhou Medical University, Quzhou People's Hospital, Quzhou, Zhejiang, China.
Wei LuQuzhou Aliated Hospital of Wenzhou Medical University, Quzhou People's Hospital, Quzhou, Zhejiang, China.
Zhe ZhangShenzhen Eye Institute, Shenzhen Eye Hospital, Jinan University, Shenzhen, China.
Yuhua TongQuzhou Aliated Hospital of Wenzhou Medical University, Quzhou People's Hospital, Quzhou, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: To investigate the correlation between retinal vascular changes and ICA stenosis by measuring retinal vessels using full-width-at-half-maximum (FWHM) and intelligent image recognition. Methods: This research selected patients who were admitted to the Vascular Surgery Department of Quzhou People's Hospital from January 2018 to December 2020 and were preparing for Carotid Artery Stenting (CAS). Participants were divided into two groups: without ICA stenosis (Group 0) and with ICA stenosis (Group 1). A total of 109 cases were included in the study, with 50 cases in Group 1 and 59 cases in Group 0. Vascular images of superior temporal zone B of the retina were obtained by spectral domain optical coherence tomography (SD-OCT). The edges of retinal vessels were identified by FWHM. Each vessel of all subjects was measured three times with the FWHM, and the average value was taken to obtain the retinal arteriolar lumen diameter (RALD), retinal arteriolar outer diameter (RAOD), retinal venular lumen diameter (RVLD), and retinal venular outer diameter (RVOD),Arterial Wall Thickness (AWT),Venular Wall Thickness (VWT)=(RVOD-RVLD)/2,Arteriovenous Ratio (AVR) = RAOD/RVOD. Results: We found that compared to Group 0, Group 1 had smaller RALD ( Conclusion: Utilizing SD-OCT in conjunction with the FWHM,we achieved a non-invasive, intelligent, stable, and precise acquisition of data pertaining to retinal vessels. These findings underscore a significant correlation between alterations in retinal vascular structure and the presence of ICA stenosis, as demonstrated by our research.

Indexed as

full width at half Maximumintelligent image analysisinternal carotid artery Stenosisretinal arteriolar diameterretinal venular diameterspectral domain optical coherence tomography (SD-OCT)

Identifiers

PMID39224436
PMCPMC11366705

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