Literature DB >> 22442048

Quantification of orbital apex crowding for screening of dysthyroid optic neuropathy using multidetector CT.

A C P Gonçalves1, L N Silva, E M M S Gebrim, M L R Monteiro.   

Abstract

BACKGROUND AND
PURPOSE: DON, a serious complication of GO, is frequently difficult to diagnose clinically in its early stages because of confounding signs and symptoms of congestive orbitopathy. We evaluated the ability of square area measurements of orbital apex crowding, calculated with MDCT, to detect DON.
MATERIALS AND METHODS: Fifty-six patients with GO were studied prospectively with complete neuro-ophthalmologic examination and MDCT scanning. Square measurements were taken from coronal sections 12 mm, 18 mm, and 24 mm from the interzygomatic line. The ratio between the extraocular muscle area and the orbital bone area was used as a CI. Intracranial fat prolapse through the superior orbital fissure was recorded as present or absent. Severity of optic nerve crowding was also subjectively graded on coronal images. Orbits were divided into 2 groups (with or without clinical evidence of DON) and compared.
RESULTS: Ninety-five orbits (36 with and 59 without DON) were studied. The CIs at all 3 levels and the subjective crowding score were significantly greater in orbits with DON (P < .001). No significant difference was observed regarding intracranial fat prolapse (P = .105). The area under the ROC curves was 0.91, 0.93, and 0.87 for CIs at 12, 18, and 24 mm, respectively. The best performance was at 18 mm, where a cutoff value of 57.5% corresponded to 91.7% sensitivity, 89.8% specificity, and an odds ratio of 97.2 for detecting DON. A significant correlation (P < .001) between the CIs and VF defects was observed.
CONCLUSIONS: Orbital CIs based on area measurements were found to predict DON more reliably than subjective grading of orbital crowding or intracranial fat prolapse.

Entities:  

Mesh:

Year:  2012        PMID: 22442048      PMCID: PMC7966547          DOI: 10.3174/ajnr.A3029

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  19 in total

1.  Graves ophthalmopathy: intracranial fat prolapse on CT images as an indicator of optic nerve compression.

Authors:  D Birchall; K L Goodall; J L Noble; A Jackson
Journal:  Radiology       Date:  1996-07       Impact factor: 11.105

2.  Clinical manifestations and treatment outcome of optic neuropathy in thyroid-related orbitopathy.

Authors:  Guy J Ben Simon; Hasan M Syed; Hasan Syed; Raymond Douglas; Robert Schwartz; Robert A Goldberg; John D McCann
Journal:  Ophthalmic Surg Lasers Imaging       Date:  2006 Jul-Aug

3.  Graves' ophthalmopathy: I. Simple CT estimates of extraocular muscle volume.

Authors:  E S Hallin; S E Feldon
Journal:  Br J Ophthalmol       Date:  1988-09       Impact factor: 4.638

4.  Clinical classification of Graves' ophthalmopathy. Identification of risk factors for optic neuropathy.

Authors:  S E Feldon; S Muramatsu; J M Weiner
Journal:  Arch Ophthalmol       Date:  1984-10

5.  Graves orbitopathy: correlation of CT and clinical findings.

Authors:  R A Nugent; R I Belkin; J M Neigel; J Rootman; W D Robertson; J Spinelli; D A Graeb
Journal:  Radiology       Date:  1990-12       Impact factor: 11.105

6.  CT scan evidence of dysthyroid optic neuropathy.

Authors:  JoAnn A Giaconi; Michael Kazim; Tae Rho; Charles Pfaff
Journal:  Ophthalmic Plast Reconstr Surg       Date:  2002-05       Impact factor: 1.746

7.  Color Doppler imaging of the superior ophthalmic vein in patients with Graves' orbitopathy before and after treatment of congestive disease.

Authors:  Mário L R Monteiro; Rodrigo B S Moritz; Hélio Angotti Neto; Joseph E Benabou
Journal:  Clinics (Sao Paulo)       Date:  2011       Impact factor: 2.365

8.  Treatment of acute Graves orbitopathy.

Authors:  M Kazim; S Trokel; S Moore
Journal:  Ophthalmology       Date:  1991-09       Impact factor: 12.079

Review 9.  Diagnostic criteria for Graves' ophthalmopathy.

Authors:  G B Bartley; C A Gorman
Journal:  Am J Ophthalmol       Date:  1995-06       Impact factor: 5.258

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

View more
  14 in total

1.  Relationship between the 24-h variability of blood pressure, ocular perfusion pressure, intraocular pressure, and visual field defect in thyroid associated orbitopathy.

Authors:  Yunhai Tu; Bangxun Mao; Jiagen Li; Weijie Liu; Mingna Xu; Qi Chen; Wencan Wu
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2020-06-12       Impact factor: 3.117

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

Authors:  Xiuya Yao; Shikha Chaganti; Kunal P Nabar; Katrina Nelson; Andrew Plassard; Rob L Harrigan; Louise A Mawn; Bennett A Landman
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2017-02-24

3.  Quantitative analysis of orbital soft tissues on computed tomography to assess the activity of thyroid-associated orbitopathy.

Authors:  Jun Soo Byun; Nam Ju Moon; Jeong Kyu Lee
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2016-11-12       Impact factor: 3.117

4.  Imaging biomarkers in thyroid eye disease and their clinical associations.

Authors:  Shikha Chaganti; Katrina Nelson; Kevin Mundy; Robert Harrigan; Robert Galloway; Louise A Mawn; Bennett Landman
Journal:  J Med Imaging (Bellingham)       Date:  2018-10-16

5.  Magnetic resonance imaging with diffusion-weighted imaging in the evaluation of thyroid-associated orbitopathy: getting below the tip of the iceberg.

Authors:  Letterio Salvatore Politi; Claudia Godi; Gabriella Cammarata; Alessandro Ambrosi; Antonella Iadanza; Roberto Lanzi; Andrea Falini; Stefania Bianchi Marzoli
Journal:  Eur Radiol       Date:  2014-02-12       Impact factor: 5.315

6.  Assessment of Orbital Computed Tomography (CT) Imaging Biomarkers in Patients with Thyroid Eye Disease.

Authors:  Shikha Chaganti; Kevin Mundy; Michael P DeLisi; Katrina M Nelson; Robert L Harrigan; Robert L Galloway; Bennett A Landman; Louise A Mawn
Journal:  J Digit Imaging       Date:  2019-12       Impact factor: 4.056

7.  Chromatic visual evoked potentials identify optic nerve dysfunction in patients with Graves' orbitopathy.

Authors:  Yueqi Yu; Bingjie Shi; Shengnan Cheng; Yushuai Liu; Ru Zhu; Yayan You; Jin Chen; Xiaohuan Pi; Xinghua Wang; Fagang Jiang
Journal:  Int Ophthalmol       Date:  2022-05-30       Impact factor: 2.031

8.  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

9.  Prevalence of Radiological Signs of Dysthyroid Optic Neuropathy in Magnetic Resonance Imaging in Patients with Active, Moderate-to-Severe, and Very Severe Graves Orbitopathy.

Authors:  Beata Rutkowska-Hinc; Edyta Maj; Anna Jabłońska; Justyna Milczarek-Banach; Tomasz Bednarczuk; Piotr Miśkiewicz
Journal:  Eur Thyroid J       Date:  2018-02-15

Review 10.  Imaging studies for diagnosing Graves' orbitopathy and dysthyroid optic neuropathy.

Authors:  Allan C Pieroni Gonçalves; Eloísa M M S Gebrim; Mário L R Monteiro
Journal:  Clinics (Sao Paulo)       Date:  2012-11       Impact factor: 2.365

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.