Automated Identification of Lesion Activity in Neovascular Age-Related Macular Degeneration

Ophthalmology

Volumn 123, Issue 8, 2016, Pages 1731-1736

  Chakravarthy, Usha ^a,b   Goldenberg, Dafna ^c,d   Young, Graham ^b   Havilio, Moshe ^e   Rafaeli, Omer ^e   Benyamini, Gidi ^e   Loewenstein, Anat ^c,d  

^a QUEEN'S UNIVERSITY BELFAST   (United Kingdom)

^b ROYAL GROUP OF HOSPITALS TRUST   (United Kingdom)

^c TEL AVIV SOURASKY MEDICAL CENTER   (Israel)

^d TEL AVIV UNIVERSITY   (Israel)

^e Notal Vision Ltd   (Israel)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGE RELATED MACULAR DEGENERATION; AUTOMATION; B SCAN; COMPARATIVE STUDY; CONFERENCE PAPER; DIAGNOSTIC ACCURACY; DISEASE ACTIVITY; HUMAN; MAJOR CLINICAL STUDY; NOTAL OPTICAL COHERENCE TOMOGRAPHY ANALYZER; OPTICAL COHERENCE TOMOGRAPHY; OPTICAL COHERENCE TOMOGRAPHY DEVICE; OUTCOME ASSESSMENT; PRIORITY JOURNAL; RADIOLOGICAL PARAMETERS; RETINA NEOVASCULARIZATION; RETINAL PIGMENT EPITHELIUM; SENSITIVITY AND SPECIFICITY; CHOROIDAL NEOVASCULARIZATION; FALSE POSITIVE RESULT; FEMALE; MACHINE LEARNING; MALE; OPHTHALMOLOGY; PREDICTIVE VALUE; PROSPECTIVE STUDY; RECEIVER OPERATING CHARACTERISTIC; REPRODUCIBILITY; SPECIALIZATION; SUBRETINAL FLUID; UNITED KINGDOM; WET MACULAR DEGENERATION;

CHOROIDAL NEOVASCULARIZATION; FALSE POSITIVE REACTIONS; FEMALE; HUMANS; MACHINE LEARNING; MALE; OPHTHALMOLOGY; PREDICTIVE VALUE OF TESTS; PROSPECTIVE STUDIES; REPRODUCIBILITY OF RESULTS; ROC CURVE; SENSITIVITY AND SPECIFICITY; SPECIALIZATION; SUBRETINAL FLUID; TOMOGRAPHY, OPTICAL COHERENCE; UNITED KINGDOM; WET MACULAR DEGENERATION;

EID: 84971224877     PISSN: 01616420     EISSN: 15494713     Source Type: Journal    
DOI: 10.1016/j.ophtha.2016.04.005     Document Type: Conference Paper

References (18)

1. 1 American Academy of Ophthalmology Retina/Vitreous Panel. Preferred Practice Pattern Guidelines. Age-Related Macular Degeneration. Available at: http://www.aao.org/preferred-practice-pattern/age-related-macular-degeneration-ppp-2015. Accessed November 1, 2015.
2. 2 Schachat, A.P., Thompson, J.T., Optical coherence tomography, fluorescein angiography, and the management of neovascular age-related macular degeneration. Ophthalmology 122 (2015), 222–223.
3. 3 Martin, D.F., Maguire, M.G., Ying, G.S., et al. Ranibizumab and bevacizumab for neovascular age-related macular degeneration. N Engl J Med 364 (2011), 1897–1908.
4. 4 Toth, C.A., Decroos, F.C., Ying, G.S., et al. Identification of fluid on OCT by ophthalmologists vs. a reading center in Comparison of AMD Treatment Trials. Retina 35 (2015), 1292–1302.
5. 5 Singer, M.A., Awh, C.C., Sadda, S.V., et al. HORIZON: an open-label extension trial of ranibizumab for choroidal neovascularization secondary to age-related macular degeneration. Ophthalmology 119 (2012), 1175–1183.
6. 6 The VISION 2020 UK survey. Available at: http://www.vision2020uk.org.uk/wpfb-file/press_release_-_half_of_eye_clinics_fail_to_meet_guidance_on_waiting_tim__-doc/. Accessed November 1, 2015.
7. 7 Holz, F.G., Tadayoni, R., Beatty, S., et al. Multi-country real-life experience of anti-vascular endothelial growth factor therapy for wet age-related macular degeneration. Br J Ophthalmol 99 (2015), 220–226.
8. 8 Finger, R.P., Wiedemann, P., Blumhagen, F., et al. Treatment patterns, visual acuity and quality-of-life outcomes of the WAVE study: a noninterventional study of ranibizumab treatment for neovascular age-related macular degeneration in Germany. Acta Ophthalmol 91 (2013), 540–546.
9. 9 Chakravarthy, U., Harding, S.P., Rogers, C.A., et al. Ranibizumab versus bevacizumab to treat neovascular age-related macular degeneration. One-year findings from the IVAN randomized trial. Ophthalmology 119 (2012), 1399–1411.
10. 10 Berg, K., Pedersen, T.R., Sandvik, L., Bragadóttir, R., Comparison of ranibizumab and bevacizumab for neovascular age-related macular degeneration according to LUCAS treat-and-extend protocol. Ophthalmology 122 (2015), 146–152.
11. 11 Cohen, S.Y., Mimoun, G., Oubraham, H., et al., LUMIERE Study Group. Changes in visual acuity in patients with wet age-related macular degeneration treated with intravitreal ranibizumab in daily clinical practice: the LUMIERE study. Retina 33 (2013), 474–481.
12. 12 Casaroli-Marano, R., Gallego-Pinazo, R., Fernández-Blanco, C.T., et al. Age-related macular degeneration: clinical findings following treatment with antiangiogenic drugs. J Ophthalmol 2014 (2014), 346–360.
13. 13 Wong, W.L., Xinyi, S., Xiang, L., et al. Global prevalence of age-related macular degeneration and disease burden projection for 2020 and 2040: a systematic review and meta-analysis. Lancet Global Health 2 (2014), 106–116.
14. 14 DeBuc DC. A review of algorithms for segmentation of retinal image data using optical coherence tomography. In: Ho P-G, ed. Image Segmentation. 2011:15-54. Available at: http://www.intechopen.com/books/image-segmentation/a-review-of-algorithms-forsegmentation-of-retinal-image-data-using-optical-coherence-tomography. Accessed April 2016.
15. 15 Yazdanpanah, A., Hamarneh, G., Smith, B.R., Sarunic, M.V., Segmentation of intra-retinal layers from optical coherence tomography images using an active contour approach. IEEE Trans Med Imaging 30 (2011), 484–496.
16. 16 Farsiu, S., Chiu, S.J., O'Connell, R.V., et al. Quantitative classification of eyes with and without intermediate age-related macular degeneration using optical coherence tomography. Ophthalmology 121 (2014), 162–172.
17. 17 Chiu, S.J., Allingham, M.J., Mettu, P.S., et al. Kernel regression based segmentation of optical coherence tomography images with diabetic macular edema. Biomed Opt Express 6 (2015), 1172–1194.
18. 18 Xu, X., Lee, K., Zhang, L., et al. Stratified sampling voxel classification for segmentation of intraretinal and subretinal fluid in longitudinal clinical OCT data. IEEE Trans Med Imaging, 2015 Mar 6 [Epub ahead of print].