Evidence map›Paper›PMID 24691117›Full record

ArticleIEEE transactions on medical imaging2014

A method to estimate biomechanics and mechanical properties of optic nerve head tissues from parameters measurable using optical coherence tomography.

I A Sigal, J L Grimm, J S Schuman, L Kagemann, H Ishikawa, G Wollstein

Abstract read
In one paragraph

Article in IEEE transactions on medical imaging, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
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

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Scleral structure and biomechanics.Progress in retinal and eye research · 2020
    Review
  9. Variation of Peripapillary Scleral Shape With Age.Investigative ophthalmology & visual science · 2019
    Article
  10. Seeing the Hidden Lamina: Effects of Exsanguination on the Optic Nerve Head.Investigative ophthalmology & visual science · 2018
    Article
  11. Article
  12. Article
  13. Review
  14. On the behavior of an eye encircled by a scleral buckle.Journal of mathematical biology · 2017
    Article
  15. Article
  16. What is a typical optic nerve head?Experimental eye research · 2016
    Article
  17. Use and Misuse of Laplace's Law in Ophthalmology.Investigative ophthalmology & visual science · 2016
    Review
  18. Article
  19. Review
  20. Review
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

6 authors.

I A Sigal
J L Grimm
J S Schuman
L Kagemann
H Ishikawa
G Wollstein

Funding

Virus Production and Manipulation of Protein/Gene Expression ModuleP30EY008098 · NEI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Ethan A Rossi · 1989 to 2026
$17.8M
Novel Glaucoma Diagnostics for Structure and Function - Renewal - 1R01EY013178 · NEI · WILLS EYE HEALTH SYSTEM · PI Joel S Schuman · 2000 to 2026
$17.5M
Novel Optical Diagnostics with Optical Coherence TomographyR01EY011289 · NEI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI JAMES G FUJIMOTO · 1995 to 2026
$9.5M
NEI NIH HHS P30 EY008098NEI NIH HHS P30-EY008098NEI NIH HHS R01 EY011289NEI NIH HHS R01 EY013178
6 · The paper itself

Abstract

Optic nerve head (ONH) tissue properties and biomechanics remain mostly unmeasurable in the experiment. We hypothesized that these can be estimated numerically from ocular parameters measurable in vivo with optical coherence tomography (OCT). Using parametric models representing human ONHs we simulated acute intraocular pressure (IOP) increases (10 mmHg). Statistical models were fit to predict, from OCT-measurable parameters, 15 outputs, including ONH tissue properties, stresses, and deformations. The calculations were repeated adding parameters that have recently been proposed as potentially measurable with OCT. We evaluated the sensitivity of the predictions to variations in the experimental parameters. Excellent fits were obtained to predict all outputs from the experimental parameters, with cross-validated R2s between 0.957 and 0.998. Incorporating the potentially measurable parameters improved fits significantly. Predictions of tissue stiffness were accurate to within 0.66 MPa for the sclera and 0.24 MPa for the lamina cribrosa. Predictions of strains and stresses were accurate to within 0.62% and 4.9 kPa, respectively. Estimates of ONH biomechanics and tissue properties can be obtained quickly from OCT measurements using an applet that we make freely available. These estimates may improve understanding of the eye sensitivity to IOP and assessment of patient risk for development or progression of glaucoma.

Indexed as

Biomechanical PhenomenaComputer SimulationFinite Element AnalysisHumansImage Processing, Computer-AssistedOcular HypertensionOptic DiskTomography, Optical Coherence

Identifiers

PMID24691117
PMCPMC5544498

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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.