Literature DB >> 28736470

Structural-Functional Relationships Between Eye Orbital Imaging Biomarkers and Clinical Visual Assessments.

Xiuya Yao1, Shikha Chaganti2, Kunal P Nabar2, Katrina Nelson3, Andrew Plassard2, Rob L Harrigan3, Louise A Mawn4, Bennett A Landman2,3.   

Abstract

Eye diseases and visual impairment affect millions of Americans and induce billions of dollars in annual economic burdens. Expounding upon existing knowledge of eye diseases could lead to improved treatment and disease prevention. This research investigated the relationship between structural metrics of the eye orbit and visual function measurements in a cohort of 470 patients from a retrospective study of ophthalmology records for patients (with thyroid eye disease, orbital inflammation, optic nerve edema, glaucoma, intrinsic optic nerve disease), clinical imaging, and visual function assessments. Orbital magnetic resonance imaging (MRI) and computed tomography (CT) images were retrieved and labeled in 3D using multi-atlas label fusion. Based on the 3D structures, both traditional radiology measures (e.g., Barrett index, volumetric crowding index, optic nerve length) and novel volumetric metrics were computed. Using stepwise regression, the associations between structural metrics and visual field scores (visual acuity, functional acuity, visual field, functional field, and functional vision) were assessed. Across all models, the explained variance was reasonable (R2 ~ 0.1-0.2) but highly significant (p < 0.001). Instead of analyzing a specific pathology, this study aimed to analyze data across a variety of pathologies. This approach yielded a general model for the connection between orbital structural imaging biomarkers and visual function.

Entities:  

Keywords:  CT; MRI; eye; multi-atlas; orbital structure; visual function

Year:  2017        PMID: 28736470      PMCID: PMC5521276          DOI: 10.1117/12.2254613

Source DB:  PubMed          Journal:  Proc SPIE Int Soc Opt Eng        ISSN: 0277-786X


  19 in total

1.  Using morphologic parameters of extraocular muscles for diagnosis and follow-up of Graves' ophthalmopathy: diameters, areas, or volumes?

Authors:  Zsolt Szucs-Farkas; Judit Toth; Erzsebet Balazs; Laszlo Galuska; Kenneth D Burman; Zsolt Karanyi; Andras Leovey; Endre V Nagy
Journal:  AJR Am J Roentgenol       Date:  2002-10       Impact factor: 3.959

2.  Robust optic nerve segmentation on clinically acquired computed tomography.

Authors:  Robert L Harrigan; Swetasudha Panda; Andrew J Asman; Katrina M Nelson; Shikha Chaganti; Michael P DeLisi; Benjamin C W Yvernault; Seth A Smith; Robert L Galloway; Louise A Mawn; Bennett A Landman
Journal:  J Med Imaging (Bellingham)       Date:  2014-12-17

3.  Normative measurements of orbital structures using CT.

Authors:  A Ozgen; M Ariyurek
Journal:  AJR Am J Roentgenol       Date:  1998-04       Impact factor: 3.959

4.  Clinical and soft-tissue computed tomographic predictors of dysthyroid optic neuropathy: refinement of the constellation of findings at presentation.

Authors:  Ezekiel Weis; Manraj K S Heran; Ashu Jhamb; Andy K Chan; Jack P Chiu; Michael C Hurley; Jack Rootman
Journal:  Arch Ophthalmol       Date:  2011-10

5.  Quantitative computed tomographic predictors of compressive optic neuropathy in patients with thyroid orbitopathy: a volumetric analysis.

Authors:  Ezekiel Weis; Manraj K S Heran; Ashu Jhamb; Andy K Chan; Jack P Chiu; Michael C Hurley; Jack Rootman
Journal:  Ophthalmology       Date:  2012-06-17       Impact factor: 12.079

6.  Structural Functional Associations of the Orbit in Thyroid Eye Disease: Kalman Filters to Track Extraocular Rectal Muscles.

Authors:  Shikha Chaganti; Katrina Nelson; Kevin Mundy; Yifu Luo; Robert L Harrigan; Steve Damon; Daniel Fabbri; Louise Mawn; Bennett Landman
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2016-03-21

7.  Orbital computed tomographic characteristics of globe subluxation in thyroid orbitopathy.

Authors:  P A Rubin; L M Watkins; S Rumelt; F C Sutula; R L Dallow
Journal:  Ophthalmology       Date:  1998-11       Impact factor: 12.079

8.  CT of orbital trauma.

Authors:  Huey-Jen Lee; Mohamed Jilani; Larry Frohman; Stephen Baker
Journal:  Emerg Radiol       Date:  2003-11-19

9.  Is orbital volume associated with eyeball and visual cortex volume in humans?

Authors:  Eiluned Pearce; Holly Bridge
Journal:  Ann Hum Biol       Date:  2013-07-23       Impact factor: 1.533

10.  Diagnostic ability of Barrett's index to detect dysthyroid optic neuropathy using multidetector computed tomography.

Authors:  Mário L R Monteiro; Allan C P Gonçalves; Carla T M Silva; Janete P Moura; Carolina S Ribeiro; Eloisa M M S Gebrim
Journal:  Clinics (Sao Paulo)       Date:  2008-06       Impact factor: 2.365

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  4 in total

1.  Contextual Deep Regression Network for Volume Estimation in Orbital CT.

Authors:  Shikha Chaganti; Cam Bermudez; Louise A Mawn; Thomas Lasko; Bennett A Landman
Journal:  Med Image Comput Comput Assist Interv       Date:  2019-10-10

2.  Orbital volume measurements from magnetic resonance images using the techniques of manual planimetry and stereology.

Authors:  Georgios Bontzos; Michael Mazonakis; Efrosini Papadaki; Thomas G Maris; Styliani Blazaki; Eleni E Drakonaki; Efstathios T Detorakis
Journal:  Natl J Maxillofac Surg       Date:  2020-06-18

3.  Electronic Medical Record Context Signatures Improve Diagnostic Classification Using Medical Image Computing.

Authors:  Shikha Chaganti; Louise A Mawn; Hakmook Kang; Josephine Egan; Susan M Resnick; Lori L Beason-Held; Bennett A Landman; Thomas A Lasko
Journal:  IEEE J Biomed Health Inform       Date:  2018-12-28       Impact factor: 5.772

4.  EMR-Radiological Phenotypes in Diseases of the Optic Nerve and their Association with Visual Function.

Authors:  Shikha Chaganti; Jamie R Robinson; Camilo Bermudez; Thomas Lasko; Louise A Mawn; Bennett A Landman
Journal:  Deep Learn Med Image Anal Multimodal Learn Clin Decis Support (2017)       Date:  2017-09-09
  4 in total

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