Literature DB >> 26047047

A Global Shape Index to Characterize Anterior Lamina Cribrosa Morphology and Its Determinants in Healthy Indian Eyes.

Sri Gowtham Thakku1, Yih-Chung Tham2, Mani Baskaran3, Jean-Martial Mari4, Nicholas G Strouthidis5, Tin Aung3, Ching-Yu Cheng3, Michael J A Girard6.   

Abstract

PURPOSE: Lamina cribrosa (LC) morphology could be implicated in the progression of glaucoma. To date, no established, quantifiable parameter to assess LC shape in vivo exists. We aim to introduce a new global shape index for the anterior LC (LC-GSI) and to identify associations with ocular factors in a healthy Indian population.
METHODS: Optical coherence tomography (OCT) scans of the optic nerve head (ONH) were performed on 162 healthy subjects. Optic nerve head structures were delineated and a geometric characterization of anterior LC morphology was obtained by measuring curvature along 180 LC cross sections and representing it as LC-GSI ranging from -1 to +1. Lamina cribrosa depth and curvature were also reported. Linear regression was used to identify factors associated with LC morphology.
RESULTS: The typical healthy LC had a saddle rut-like appearance, with a central ridge visible in superior-inferior cross sections. A more prominent central ridge (larger LC-GSI) was associated with shorter axial length (P < 0.001), smaller Bruch's membrane opening (BMO) area (P = 0.020), smaller vertical cup-to-disc ratio (VCDR) (P = 0.007), and larger minimum rim width (BMO-MRW) (P = 0.001). A deeper LC was associated with male sex (P < 0.001), shorter axial length (P = 0.003), larger VCDR (P < 0.001), and smaller BMO-MRW (P = 0.002). Age and IOP were not significantly associated with LC morphology in healthy eyes.
CONCLUSIONS: The LC-GSI is a single index that quantifies overall LC shape in an intuitive way. Ocular determinants of LC-GSI in healthy eyes included risk factors for glaucoma (axial length, VCDR, and BMO-MRW), highlighting the potential role of LC morphological characterization in the diagnosis and monitoring of glaucoma.

Entities:  

Mesh:

Year:  2015        PMID: 26047047     DOI: 10.1167/iovs.15-16707

Source DB:  PubMed          Journal:  Invest Ophthalmol Vis Sci        ISSN: 0146-0404            Impact factor:   4.799


  13 in total

1.  Association of Functional Loss With the Biomechanical Response of the Optic Nerve Head to Acute Transient Intraocular Pressure Elevations.

Authors:  Tin A Tun; Eray Atalay; Mani Baskaran; Monisha E Nongpiur; Hla M Htoon; David Goh; Ching-Yu Cheng; Shamira A Perera; Tin Aung; Nicholas G Strouthidis; Michaël J A Girard
Journal:  JAMA Ophthalmol       Date:  2018-02-01       Impact factor: 7.389

2.  DRUNET: a dilated-residual U-Net deep learning network to segment optic nerve head tissues in optical coherence tomography images.

Authors:  Sripad Krishna Devalla; Prajwal K Renukanand; Bharathwaj K Sreedhar; Giridhar Subramanian; Liang Zhang; Shamira Perera; Jean-Martial Mari; Khai Sing Chin; Tin A Tun; Nicholas G Strouthidis; Tin Aung; Alexandre H Thiéry; Michaël J A Girard
Journal:  Biomed Opt Express       Date:  2018-06-25       Impact factor: 3.732

3.  Seeing the Hidden Lamina: Effects of Exsanguination on the Optic Nerve Head.

Authors:  Huong Tran; Jacob Wallace; Ziyi Zhu; Katie A Lucy; Andrew P Voorhees; Samantha E Schmitt; Richard A Bilonick; Joel S Schuman; Matthew A Smith; Gadi Wollstein; Ian A Sigal
Journal:  Invest Ophthalmol Vis Sci       Date:  2018-05-01       Impact factor: 4.799

4.  Deep learning based noise reduction method for automatic 3D segmentation of the anterior of lamina cribrosa in optical coherence tomography volumetric scans.

Authors:  Zaixing Mao; Atsuya Miki; Song Mei; Ying Dong; Kazuichi Maruyama; Ryo Kawasaki; Shinichi Usui; Kenji Matsushita; Kohji Nishida; Kinpui Chan
Journal:  Biomed Opt Express       Date:  2019-10-21       Impact factor: 3.732

5.  Interplay between intraocular and intracranial pressure effects on the optic nerve head in vivo.

Authors:  Ziyi Zhu; Susannah Waxman; Bo Wang; Jacob Wallace; Samantha E Schmitt; Elizabeth Tyler-Kabara; Hiroshi Ishikawa; Joel S Schuman; Matthew A Smith; Gadi Wollstein; Ian A Sigal
Journal:  Exp Eye Res       Date:  2021-11-01       Impact factor: 3.467

6.  Histologic validation of optical coherence tomography-based three-dimensional morphometric measurements of the human optic nerve head: Methodology and preliminary results.

Authors:  Massimo A Fazio; Stuart K Gardiner; Luigi Bruno; Meredith Hubbard; Gianfranco Bianco; Udayakumar Karuppanan; Jihee Kim; Mustapha El Hamdaoui; Rafael Grytz; J Crawford Downs; Christopher A Girkin
Journal:  Exp Eye Res       Date:  2021-01-28       Impact factor: 3.467

7.  Deep Learning for Glaucoma Detection and Identification of Novel Diagnostic Areas in Diverse Real-World Datasets.

Authors:  Erfan Noury; Suria S Mannil; Robert T Chang; An Ran Ran; Carol Y Cheung; Suman S Thapa; Harsha L Rao; Srilakshmi Dasari; Mohammed Riyazuddin; Dolly Chang; Sriharsha Nagaraj; Clement C Tham; Reza Zadeh
Journal:  Transl Vis Sci Technol       Date:  2022-05-02       Impact factor: 3.048

8.  Clinical Assessment of Lamina Cribrosa Curvature in Eyes with Primary Open-Angle Glaucoma.

Authors:  Yong Woo Kim; Jin Wook Jeoung; Dai Woo Kim; Michael J A Girard; Jean Martial Mari; Ki Ho Park; Dong Myung Kim
Journal:  PLoS One       Date:  2016-03-10       Impact factor: 3.240

9.  A Digital Staining Algorithm for Optical Coherence Tomography Images of the Optic Nerve Head.

Authors:  Jean-Martial Mari; Tin Aung; Ching-Yu Cheng; Nicholas G Strouthidis; Michaël J A Girard
Journal:  Transl Vis Sci Technol       Date:  2017-02-02       Impact factor: 3.283

Review 10.  Use and Misuse of Laplace's Law in Ophthalmology.

Authors:  Cheuk Wang Chung; Michaël J A Girard; Ning-Jiun Jan; Ian A Sigal
Journal:  Invest Ophthalmol Vis Sci       Date:  2016-01-01       Impact factor: 4.799

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.