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Oct angiography compared to fluorescein angiography, indocyanine green angiography and optical coherence tomography in the detection of choroidal neovascularization in pigment epithelial detachment
Author(s) -
Oliveira Tauan,
Isaac David Leonardo Cruvinel,
Garcia Jose Mauricio Botto de Barros,
Schelini Maria Claudia,
Avila Marcos Pereira
Publication year - 2019
Publication title -
acta ophthalmologica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.534
H-Index - 87
eISSN - 1755-3768
pISSN - 1755-375X
DOI - 10.1111/aos.14117
Subject(s) - concordance , medicine , choroidal neovascularization , fluorescein angiography , optical coherence tomography angiography , indocyanine green , ophthalmology , optical coherence tomography , angiography , indocyanine green angiography , nuclear medicine , radiology , visual acuity , pathology
Purpose To evaluate the agreement between multimodal imaging— MI (fluorescein angiography, indocyanine green angiography, optical coherence tomography) and optical coherence tomography angiography ( OCTA ) in the detection of choroidal neovascularization ( CNV ) in patients with pigment epithelial detachment with subretinal/intraretinal fluid ( PED +F) compared to patients with PED without subretinal/intraretinal fluid ( PED ‐F). Methods Twenty‐two eyes of 15 patients were divided into two groups ( PED +F and PED ‐F). All patients underwent MI and OCTA with manual and automatic segmentation. MI findings were compared to OCTA findings and then analysed. Results In the PED +F group (10 eyes), all studied eyes demonstrated CNV in MI . In manual segmentation OCTA assessment, 9 of 10 eyes (90%) were detected with CNV . When evaluated by automatic segmentation, 8 of 10 eyes (80%) revealed the presence of CNV . In the PED ‐F (12 eyes) group, all eyes did not demonstrate CNV in MI and OCTA evaluations, either by manual or automatic segmentation. The agreement between MI and OCTA shows concordance (k: 0.908; 95% CI , 0.491–1.000); the evaluation of the agreement between the automatic and manual segmentation also shows concordance (k: 0.904; 95% CI , 0.488–1.000). Conclusion The solid agreement between the multimodal imaging regarding the ability of OCTA to identify possible initial CNV in a patient with PED ‐F was observed. Accuracy was 95.45%. In addition, the agreement between manual and automatic segmentation to identify CNV on OCTA was also shown.