Role of the macular optical coherence tomography scan in neuro-ophthalmology

Journal of Neuro-Ophthalmology

Volumn 31, Issue 4, 2011, Pages 353-361

  Kardon, Randy H ^a,b  

^a UNIVERSITY OF IOWA   (United States)

^b DEPARTMENT OF VETERANS AFFAIRS   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DIAGNOSTIC VALUE; DISEASE CLASSIFICATION; IMAGE ANALYSIS; MULTIPLE SCLEROSIS; NERVE COMPRESSION; NERVE FUNCTION; NEUROOPHTHALMOLOGY; OPTIC NERVE; OPTIC NERVE DISEASE; OPTIC NEURITIS; OPTICAL COHERENCE TOMOGRAPHY; PAPILLEDEMA; PHOTORECEPTOR; PRIORITY JOURNAL; RETINA DISEASE; RETINA MACULA LUTEA; RETINA NERVE CELL; RETINOPATHY; REVIEW; VISUAL FIELD DEFECT; VISUAL SYSTEM;

HUMANS; NERVE FIBERS; OPTIC NERVE DISEASES; RETINAL DISEASES; RETINAL GANGLION CELLS; TOMOGRAPHY, OPTICAL COHERENCE; VISUAL FIELDS; VISUAL PATHWAYS;

EID: 81755166851     PISSN: 10708022     EISSN: 15365166     Source Type: Journal    
DOI: 10.1097/WNO.0b013e318238b9cb     Document Type: Review

References (22)

1. Hood DC, Kardon RH. A framework for comparing structural and functional measures of glaucomatous damage. Prog Retin Eye Res. 2007;26:688-710. (Pubitemid 47615565)
2. Hood DC, Anderson SC, Wall M, Kardon RH. Structure versus function in glaucoma: an application of a linear model. Invest Ophthalmol Vis Sci. 2007;48:3662-3668. (Pubitemid 351261102)
3. Hood DC, Anderson S, Rouleau J, Wenick AS, Grover LK, Behrens MM, Odel JG, Lee AG, Kardon RH. Retinal nerve fiber structure versus visual field function in patients with ischemic optic neuropathy: a test of a linear model. Ophthalmology. 2008;115:904-910. (Pubitemid 351602282)
4. Hood DC, Anderson SC, Wall M, Raza AS, Kardon RH. A test of a linear model of glaucomatous structure-function loss reveals sources of variability in retinal nerve fiber and visual field measurements. Invest Ophthalmol Vis Sci. 2009;50:4254-4266.
5. Danesh-Meyer HV, Papchenko T, Savino PJ, Law A, Evans J, Gamble GD. In vivo retinal nerve fiber layer thickness measured by optical coherence tomography predicts visual recovery after surgery for parachiasmal tumors. Invest Ophthalmol Vis Sci. 2008;49:1879-1885.
6. Costello F, Hodge W, Pan YI, Metz L, Kardon RH. Retinal nerve fiber layer and future risk of multiple sclerosis. Can J Neurol Sci. 2008;35:482-487.
7. Costello F, Hodge W, Pan Y, Eggenberger E, Coupland S, Kardon R. Tracking retinal nerve fiber layer loss after optic neuritis: a prospective study using optical coherence tomography. Mult Scler. 2008;14:893-905.
8. Frohman EM, Fujimoto JG, Frohman TC, Calabresi PA, Cutter G, Balcer LJ. Optical coherence tomography: a window into the mechanisms of multiple sclerosis. Nat Clin Pract Neurol. 2008;4:664-675.
9. Frohman EM, Costello F, Stüve O, Calabresi P, Miller DH, Hickman SJ, Sergott R, Conger A, Salter A, Krumwiede KH, Frohman TC, Balcer L, Zivadinov R. Modeling axonal degeneration within the anterior visual system: implications for demonstrating neuroprotection in multiple sclerosis. Arch Neurol. 2008;65:26-35.
10. Jindahra P, Petrie A, Plant GT. Retrograde trans-synaptic retinal ganglion cell loss identified by optical coherence tomography. Brain. 2009;132(pt 3):628-634.
11. Hood DC, Salant JA, Arthur SN, Ritch R, Liebmann JM. The location of the inferior and superior temporal blood vessels and interindividual variability of the retinal nerve fiber layer thickness. J Glaucoma. 2010;19:158-166.
12. Hood DC, Fortune B, Arthur SN, Xing D, Salant JA, Ritch R, Liebmann JM. Blood vessel contributions to retinal nerve fiber layer thickness profiles measured with optical coherence tomography. J Glaucoma. 2008;17:519-528.
13. Burkholder BM, Osborne B, Loguidice MJ, Bisker E, Frohman TC, Conger A, Ratchford JN, Warner C, Markowitz CE, Jacobs DA, Galetta SL, Cutter GR, Maguire MG, Calabresi PA, Balcer LJ, Frohman EM. Macular volume determined by optical coherence tomography as a measure of neuronal loss in multiple sclerosis. Arch Neurol. 2009;66:1366-1372.
14. Petzold A, de Boer JF, Schippling S, Vermersch P, Kardon R, Green A, Calabresi PA, Polman C. Optical coherence tomography in multiple sclerosis: a systematic review and meta-analysis. Lancet Neurol. 2010;9:921-932.
15. Hangai M, Fujimoto M, Yoshimura N. Features and function of multiple evanescent white dot syndrome. Arch Ophthalmol. 2009;127:1307-1313.
16. Wakabayashi T, Sawa M, Gomi F, Tsujikawa M. Correlation of fundus autofluorescence with photoreceptor morphology and functional changes in eyes with retinitis pigmentosa. Acta Ophthalmol. 2010;88:e177-e183.
17. Birch DG, Wen Y, Locke K, Hood DC. Rod sensitivity, cone sensitivity and photoreceptor layer thickness in retinal degenerative diseases. Invest Ophthalmol Vis Sci. 2011;52:7141-7147.
18. Johnson LN, Diehl ML, Hamm CW, Sommerville DN, Petroski GF. Differentiating optic disc edema from optic nerve head drusen on optical coherence tomography. Arch Ophthalmol. 2009;127:45-49.
19. Chen E, Brown DM, Benz MS, Fish RH, Wong TP, Kim RY, Major JC. Spectral domain optical coherence tomography as an effective screening test for hydroxychloroquine retinopathy (the "flying saucer" sign). Clin Ophthalmol. 2010;4:1151-1158.
20. Wang M, Hood DC, Cho JS, Ghadiali Q, De Moraes GV, Zhang X, Ritch R, Liebmann JM. Measurement of local retinal ganglion cell layer thickness in patients with glaucoma using frequency-domain optical coherence tomography. Arch Ophthalmol. 2009;127:875-881.
21. Haeker M, Wu X, Abramoff M, Kardon R, Sonka M. Incorporation of regional information in optimal 3-D graph search with application for intraretinal layer segmentation of optical coherence tomography images. Inf Process Med Imaging. 2007;20:607-618.
22. Garvin MK, Abramoff MD, Kardon R, Russell SR, Wu X, Sonka M. Intraretinal layer segmentation of macular optical coherence tomography images using optimal 3-D graph search. IEEE Trans Med Imaging. 2008;27:1495-1505.