The joint structure-function dynamics of glaucoma progression

Lyne Racette, Jonathan E. Helm, Mitchell Dul, Iván Marín-Franch

Research output: Contribution to journalArticle

Abstract

While the presence and rate of glaucoma progression influence treatment decisions, the methods currently available to detect and monitor progression are imprecise and do not allow clinicians to make accurate assessments of the status of their patients. Models that focus on combining structural and functional parameters may improve our ability to detect and monitor glaucoma progression. Several of these models, however, are limited by their reliance on population statistics and on the static assumptions they make about the nature of glaucoma progression. Dynamic modeling of glaucoma progression may lead to a better understanding of glaucoma progression that could eventually translate into making individualized treatment decisions.

Original languageEnglish (US)
Pages (from-to)407-409
Number of pages3
JournalExpert Review of Ophthalmology
Volume10
Issue number5
DOIs
StatePublished - Sep 3 2015

Fingerprint

Glaucoma
Population statistics
Joints
Population Characteristics
Therapeutics

Keywords

  • glaucoma
  • progression
  • structure-function relationship

ASJC Scopus subject areas

  • Ophthalmology
  • Biomedical Engineering
  • Optometry

Cite this

The joint structure-function dynamics of glaucoma progression. / Racette, Lyne; Helm, Jonathan E.; Dul, Mitchell; Marín-Franch, Iván.

In: Expert Review of Ophthalmology, Vol. 10, No. 5, 03.09.2015, p. 407-409.

Research output: Contribution to journalArticle

Racette, Lyne ; Helm, Jonathan E. ; Dul, Mitchell ; Marín-Franch, Iván. / The joint structure-function dynamics of glaucoma progression. In: Expert Review of Ophthalmology. 2015 ; Vol. 10, No. 5. pp. 407-409.
@article{6c7cc54b988a4de8a9b91afebf53d562,
title = "The joint structure-function dynamics of glaucoma progression",
abstract = "While the presence and rate of glaucoma progression influence treatment decisions, the methods currently available to detect and monitor progression are imprecise and do not allow clinicians to make accurate assessments of the status of their patients. Models that focus on combining structural and functional parameters may improve our ability to detect and monitor glaucoma progression. Several of these models, however, are limited by their reliance on population statistics and on the static assumptions they make about the nature of glaucoma progression. Dynamic modeling of glaucoma progression may lead to a better understanding of glaucoma progression that could eventually translate into making individualized treatment decisions.",
keywords = "glaucoma, progression, structure-function relationship",
author = "Lyne Racette and Helm, {Jonathan E.} and Mitchell Dul and Iv{\'a}n Mar{\'i}n-Franch",
year = "2015",
month = "9",
day = "3",
doi = "10.1586/17469899.2015.1073109",
language = "English (US)",
volume = "10",
pages = "407--409",
journal = "Expert Review of Respiratory Medicine",
issn = "1747-6348",
publisher = "Expert Reviews Ltd.",
number = "5",

}

TY - JOUR

T1 - The joint structure-function dynamics of glaucoma progression

AU - Racette, Lyne

AU - Helm, Jonathan E.

AU - Dul, Mitchell

AU - Marín-Franch, Iván

PY - 2015/9/3

Y1 - 2015/9/3

N2 - While the presence and rate of glaucoma progression influence treatment decisions, the methods currently available to detect and monitor progression are imprecise and do not allow clinicians to make accurate assessments of the status of their patients. Models that focus on combining structural and functional parameters may improve our ability to detect and monitor glaucoma progression. Several of these models, however, are limited by their reliance on population statistics and on the static assumptions they make about the nature of glaucoma progression. Dynamic modeling of glaucoma progression may lead to a better understanding of glaucoma progression that could eventually translate into making individualized treatment decisions.

AB - While the presence and rate of glaucoma progression influence treatment decisions, the methods currently available to detect and monitor progression are imprecise and do not allow clinicians to make accurate assessments of the status of their patients. Models that focus on combining structural and functional parameters may improve our ability to detect and monitor glaucoma progression. Several of these models, however, are limited by their reliance on population statistics and on the static assumptions they make about the nature of glaucoma progression. Dynamic modeling of glaucoma progression may lead to a better understanding of glaucoma progression that could eventually translate into making individualized treatment decisions.

KW - glaucoma

KW - progression

KW - structure-function relationship

UR - http://www.scopus.com/inward/record.url?scp=84942364910&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84942364910&partnerID=8YFLogxK

U2 - 10.1586/17469899.2015.1073109

DO - 10.1586/17469899.2015.1073109

M3 - Article

AN - SCOPUS:84942364910

VL - 10

SP - 407

EP - 409

JO - Expert Review of Respiratory Medicine

JF - Expert Review of Respiratory Medicine

SN - 1747-6348

IS - 5

ER -