Evidence map›Paper›PMID 35802370›Full record

ArticleTranslational vision science & technology2022

Three-Dimensional Volume Calculation of Intrachoroidal Cavitation Using Deep-Learning-Based Noise Reduction of Optical Coherence Tomography.

Satoko Fujimoto, Atsuya Miki, Kazuichi Maruyama, Song Mei, Zaixing Mao, Zhenguo Wang, Kinpui Chan, Kohji Nishida

Open access · goldAbstract read
In one paragraph

Article in Translational vision science & technology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 14% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Factors associated with intrachoroidal cavitation and sinkhole formation in eyes with glaucomatous visual-field defects.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2024
    Article
  7. Review
  8. Review
  9. Peripapillary Intrachoroidal Cavitation.Journal of clinical medicine · 2023
    Review
  10. Review
  11. Myopic (Peri)papillary Changes and Visual Field Defects.Clinical ophthalmology (Auckland, N.Z.) · 2023
    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

8 authors at 2 institutions in 2 countries.

Satoko FujimotoDepartment of Ophthalmology, Graduate School of Medicine, Osaka University, Osaka, Japan.
Atsuya MikiDepartment of Ophthalmology, Graduate School of Medicine, Osaka University, Osaka, Japan.
Kazuichi MaruyamaDepartment of Ophthalmology, Graduate School of Medicine, Osaka University, Osaka, Japan.
Song MeiTopcon Advanced Biomedical Imaging Laboratory, Oakland, NJ, USA.
Zaixing MaoTopcon Advanced Biomedical Imaging Laboratory, Oakland, NJ, USA.
Zhenguo WangTopcon Advanced Biomedical Imaging Laboratory, Oakland, NJ, USA.
Kinpui ChanTopcon Advanced Biomedical Imaging Laboratory, Oakland, NJ, USA.
Kohji NishidaDepartment of Ophthalmology, Graduate School of Medicine, Osaka University, Osaka, Japan.
Osaka University · JPAichi Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Intrachoroidal cavitations (ICCs) are peripapillary pathological lesions generally associated with high myopia that can cause visual field (VF) defects. The current study aimed to evaluate a three-dimensional (3D) volume parameter of ICCs segmented from volumetric swept-source optical coherence tomography (SS-OCT) images processed using deep learning (DL)-based noise reduction and to investigate its correlation with VF sensitivity. Methods: Thirteen eyes of 12 consecutive patients with peripapillary ICCs were enrolled. DL-based denoising and further analyses were applied to parapapillary 6 × 6-mm volumetric SS-OCT scans. Then, 3D ICC volume and two-dimensional depth and length measurements of the ICCs were calculated. The correlations between ICC parameters and VF sensitivity were investigated. Results: The ICCs were located in the inferior hemiretina in all eyes. ICC volume (P = 0.02; regression coefficient [RC], -0.007) and ICC length (P = 0.04; RC, -4.51) were negatively correlated with the VF mean deviation, whereas ICC depth (P = 0.15) was not. All of the parameters, including ICC volume (P = 0.01; RC, -0.004), ICC depth (P = 0.02; RC, -0.008), and ICC length (P = 0.045; RC, -2.11), were negatively correlated with the superior mean total deviation. Conclusions: We established the volume of ICCs as a new 3D parameter, and it reflected their influence on visual function. The automatic delineation and 3D rendering may lead to improved detection and pathological understanding of ICCs. Translational Relevance: This study demonstrated the correlation between the 3D volume of ICCs and VF sensitivity.

Indexed as

Deep LearningMyopiaHumansTomography, Optical CoherenceVision Disorders

Identifiers

PMID35802370
PMCPMC9279919
OpenAlexW4284961579

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.