scholarly journals Macular hole morphology and measurement using an automated three-dimensional image segmentation algorithm

2020 ◽  
Vol 5 (1) ◽  
pp. e000404 ◽  
Author(s):  
Yunzi Chen ◽  
Amar V Nasrulloh ◽  
Ian Wilson ◽  
Caspar Geenen ◽  
Maged Habib ◽  
...  

ObjectiveFull-thickness macular holes (MH) are classified principally by size, which is one of the strongest predictors of anatomical and visual success. Using a three-dimensional (3D) automated image processing algorithm, we analysed optical coherence tomography (OCT) images of 104 MH of patients, comparing MH dimensions and morphology with clinician-acquired two-dimensional measurements.Methods and AnalysisAll patients underwent a high-density central horizontal scanning OCT protocol. Two independent clinicians measured the minimum linear diameter (MLD) and maximum base diameter. OCT images were also analysed using an automated 3D segmentation algorithm which produced key parameters including the respective maximum and minimum diameter of the minimum area (MA) of the MH, as well as volume and surface area.ResultsUsing the algorithm-derived values, MH were found to have significant asymmetry in all dimensions. The minima of the MA were typically approximately 90° to the horizontal, and differed from their maxima by 55 μm. The minima of the MA differed from the human-measured MLD by a mean of nearly 50 μm, with significant interobserver variability. The resultant differences led to reclassification using the International Vitreomacular Traction Study Group classification in a quarter of the patients (p=0.07).ConclusionMH are complex shapes with significant asymmetry in all dimensions. We have shown how 3D automated analysis of MH describes their dimensions more accurately and repeatably than human assessment. This could be used in future studies investigating hole progression and outcome to help guide optimum treatments.

Ophthalmology ◽  
1995 ◽  
Vol 102 (10) ◽  
pp. 1445-1449 ◽  
Author(s):  
Dov Weinberger ◽  
Hadas Stiebel ◽  
Dan D. Gaton ◽  
Ethan Priel ◽  
Yuval Yassur

Diagnostics ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 751
Author(s):  
Chanrith Mork ◽  
Minjie Wei ◽  
Weixi Jiang ◽  
Jianli Ren ◽  
Haitao Ran

(1) Background: We performed this study to evaluate the agreement between novel automated software of three-dimensional transesophageal echocardiography (3D-TEE) and multidetector computed tomography (MDCT) for aortic annular measurements of preprocedural transcatheter aortic valve replacement (TAVR); (2) Methods: PubMed, EMBASE, Web of Science, and Cochrane Library (Wiley) databases were systematically searched for studies that compared 3D-TEE and MDCT as the reference standard for aortic annular measurement of the following parameters: annular area, annular perimeter, area derived-diameter, perimeter derived-diameter, maximum and minimum diameter. Meta-analytic methods were utilized to determine the pooled correlations and mean differences between 3D-TEE and MDCT. Heterogeneity and publication bias were also assessed. Meta-regression analyses were performed based on the potential factors affecting the correlation of aortic annular area; (3) Results: A total of 889 patients from 10 studies were included in the meta-analysis. Pooled correlation coefficients between 3D-TEE and MDCT of annulus area, perimeter, area derived-diameter, perimeter derived-diameter, maximum and minimum diameter measurements were strong 0.89 (95% CI: 0.84–0.92), 0.88 (95% CI: 0.83–0.92), 0.87 (95% CI: 0.77–0.93), 0.87 (95% CI: 0.77–0.93), 0.79 (95% CI: 0.64–0.87), and 0.75 (95% CI: 0.61–0.84) (Overall p < 0.0001), respectively. Pooled mean differences between 3D-TEE and MDCT of annulus area, perimeter, area derived-diameter, perimeter derived-diameter, maximum and minimum diameter measurements were −20.01 mm2 ((95% CI: −35.37 to −0.64), p = 0.011), −2.31 mm ((95% CI: −3.31 to −1.31), p < 0.0001), −0.22 mm ((95% CI: −0.73 to 0.29), p = 0.40), −0.47 mm ((95% CI: −1.06 to 0.12), p = 0.12), −1.36 mm ((95% CI: −2.43 to −0.30), p = 0.012), and 0.31 mm ((95% CI: −0.15 to 0.77), p = 0.18), respectively. There were no statistically significant associations with the baseline patient characteristics of sex, age, left ventricular ejection fraction, mean transaortic gradient, and aortic valve area to the correlation between 3D-TEE and MDCT for aortic annular area sizing; (4) Conclusions: The present study implies that 3D-TEE using novel software tools, automatically analysis, is feasible to MDCT for annulus sizing in clinical practice.


2011 ◽  
Vol 191 (4) ◽  
pp. 1168-1179 ◽  
Author(s):  
Craig R. Brodersen ◽  
Eric F. Lee ◽  
Brendan Choat ◽  
Steven Jansen ◽  
Ronald J. Phillips ◽  
...  

2020 ◽  
Vol 22 (Supplement_3) ◽  
pp. iii356-iii356
Author(s):  
Fatema Malbari ◽  
Murali Chintagumpala ◽  
Jack Su ◽  
Mehmet Okcu ◽  
Frank Lin ◽  
...  

Abstract BACKGROUND Patients with chiasmatic-hypothalamic low grade glioma (CHLGG) have frequent MRIs with gadolinium based contrast agents (GBCA) for disease monitoring. Cumulative gadolinium deposition in children is a potential concern. The purpose of this research is to establish whether MRI with GBCA is necessary for determining tumor progression in children with CHLGG. METHODS Children with progressive CHLGG were identified from Texas Children’s Cancer Center between 2005–2019. Pre- and post-contrast MRI sequences were separately reviewed by one neuroradiologist who was blinded to the clinical course. Three dimensional measurements and tumor characteristics were collected. Radiographic progression was defined as a 25% increase in size (product of two largest dimensions) compared to baseline or best response after initiation of therapy. RESULTS A total of 28 patients with progressive CHLGG including 683 MRIs with GBCA (mean 24 MRIs/patient; range: 10–43 MRIs) were reviewed. No patients had a diagnosis of NF1. Progression was observed 92 times, 91 (98.9%) on noncontrast and 90 (97.8%) on contrast imaging. Sixty-seven radiographic and/or clinical progressions necessitating management changes were identified in all (100%) noncontrast sequences and 66 (98.5%) contrast sequences. Tumor growth &gt;2 mm in any dimension was identified in 184/187(98.4%) on noncontrast and 181/187(96.8%) with contrast imaging. Non primary metastatic disease was seen in seven patients (25%), which were better visualized on contrast imaging in 4 (57%). CONCLUSION MRI without GBCA effectively identifies patients with progressive disease. One should consider eliminating contrast in imaging of children with CHLGG with GBCA reserved for monitoring those with metastatic disease.


2011 ◽  
Vol 22 (4) ◽  
pp. 765-771 ◽  
Author(s):  
Ramon Gheno ◽  
Eric Nectoux ◽  
Bernard Herbaux ◽  
Matteo Baldisserotto ◽  
Luiz Glock ◽  
...  

RSC Advances ◽  
2017 ◽  
Vol 7 (68) ◽  
pp. 43283-43288 ◽  
Author(s):  
Seokwon Joo ◽  
Ju-Hyung Kim ◽  
Soonmin Seo

This article describes a direct fabrication technique for electrodes and further electrochromic devices with complex shapes on three-dimensional substrates.


2011 ◽  
Vol 17 (S2) ◽  
pp. 992-993
Author(s):  
M Zhao ◽  
B Ming ◽  
P Kavuri ◽  
A Vladár

Extended abstract of a paper presented at Microscopy and Microanalysis 2011 in Nashville, Tennessee, USA, August 7–August 11, 2011.


Sign in / Sign up

Export Citation Format

Share Document