Peripapillary vascular changes in radiation optic neuropathy: An optical coherence tomography angiography grading

Raffaele Parrozzani, Luisa Frizziero, Davide Londei, Sara Trainiti, Rocco Luigi Modugno, Francesca Leonardi, Serena Pulze, Giacomo Miglionico, Elisabetta Pilotto, Edoardo Midena

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Aims To investigate peripapillary vascular changes secondary to radiation optic neuropathy (RON) using optical coherence tomography angiography (OCT-A) and to propose a clinical grading of RON based on OCT-A findings. Methods Thirty-four patients affected by RON were consecutively included. Each patient underwent best corrected visual acuity measurement (ETDRS score) and OCT-A (Nidek RS-3000 Advance device, Nidek, Gamagori, Japan). The radial peripapillary capillary plexus (RPCP) and the entire peripapillary capillary bed (EPCB) were analysed. Quantitative analysis of the OCT-A images was performed using open-source available ImageJ software (National Institutes of Health, Bethesda, Maryland, USA). Qualitative analysis based on the proposed clinical grading (Grades 0-4) was also performed by two masked graders. Results RON clinical (qualitative) classification based on RPCP correlated with the quantitative RPCP perfusion analysis (P=0.0001). RON clinical classification based on RPCP statistically correlated with ETDRS score (P=0.001). RON clinical classification based on EPCB also correlated with the quantitative EPCB perfusion analysis and ETDRS score (P=0.02 and P=0.01, respectively). Compared with the clinical classification based on EPCB, the qualitative classification based on RPCP reached a higher intergrader agreement (0.96 and 0.86, respectively). Conclusion OCT-A can be used to detect RPCP abnormalities and to clinically classify RON with a high interexaminer agreement. The proposed clinical classification is supported by the quantitative analysis based on the use of specific images elaboration techniques and correlates with visual acuity of the examined eyes.

Original languageEnglish
Pages (from-to)1238-1243
Number of pages6
JournalBritish Journal of Ophthalmology
Volume102
Issue number9
DOIs
Publication statusPublished - Sep 1 2018

Fingerprint

Optic Nerve Diseases
Optical Coherence Tomography
Blood Vessels
Angiography
Radiation
Visual Acuity
Perfusion
National Institutes of Health (U.S.)
Japan
Software
Equipment and Supplies

Keywords

  • diagnostic tests/investigation
  • imaging
  • neoplasia
  • optic nerve
  • retina

ASJC Scopus subject areas

  • Ophthalmology
  • Sensory Systems
  • Cellular and Molecular Neuroscience

Cite this

Peripapillary vascular changes in radiation optic neuropathy : An optical coherence tomography angiography grading. / Parrozzani, Raffaele; Frizziero, Luisa; Londei, Davide; Trainiti, Sara; Modugno, Rocco Luigi; Leonardi, Francesca; Pulze, Serena; Miglionico, Giacomo; Pilotto, Elisabetta; Midena, Edoardo.

In: British Journal of Ophthalmology, Vol. 102, No. 9, 01.09.2018, p. 1238-1243.

Research output: Contribution to journalArticle

Parrozzani, Raffaele ; Frizziero, Luisa ; Londei, Davide ; Trainiti, Sara ; Modugno, Rocco Luigi ; Leonardi, Francesca ; Pulze, Serena ; Miglionico, Giacomo ; Pilotto, Elisabetta ; Midena, Edoardo. / Peripapillary vascular changes in radiation optic neuropathy : An optical coherence tomography angiography grading. In: British Journal of Ophthalmology. 2018 ; Vol. 102, No. 9. pp. 1238-1243.
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abstract = "Aims To investigate peripapillary vascular changes secondary to radiation optic neuropathy (RON) using optical coherence tomography angiography (OCT-A) and to propose a clinical grading of RON based on OCT-A findings. Methods Thirty-four patients affected by RON were consecutively included. Each patient underwent best corrected visual acuity measurement (ETDRS score) and OCT-A (Nidek RS-3000 Advance device, Nidek, Gamagori, Japan). The radial peripapillary capillary plexus (RPCP) and the entire peripapillary capillary bed (EPCB) were analysed. Quantitative analysis of the OCT-A images was performed using open-source available ImageJ software (National Institutes of Health, Bethesda, Maryland, USA). Qualitative analysis based on the proposed clinical grading (Grades 0-4) was also performed by two masked graders. Results RON clinical (qualitative) classification based on RPCP correlated with the quantitative RPCP perfusion analysis (P=0.0001). RON clinical classification based on RPCP statistically correlated with ETDRS score (P=0.001). RON clinical classification based on EPCB also correlated with the quantitative EPCB perfusion analysis and ETDRS score (P=0.02 and P=0.01, respectively). Compared with the clinical classification based on EPCB, the qualitative classification based on RPCP reached a higher intergrader agreement (0.96 and 0.86, respectively). Conclusion OCT-A can be used to detect RPCP abnormalities and to clinically classify RON with a high interexaminer agreement. The proposed clinical classification is supported by the quantitative analysis based on the use of specific images elaboration techniques and correlates with visual acuity of the examined eyes.",
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AU - Parrozzani, Raffaele

AU - Frizziero, Luisa

AU - Londei, Davide

AU - Trainiti, Sara

AU - Modugno, Rocco Luigi

AU - Leonardi, Francesca

AU - Pulze, Serena

AU - Miglionico, Giacomo

AU - Pilotto, Elisabetta

AU - Midena, Edoardo

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N2 - Aims To investigate peripapillary vascular changes secondary to radiation optic neuropathy (RON) using optical coherence tomography angiography (OCT-A) and to propose a clinical grading of RON based on OCT-A findings. Methods Thirty-four patients affected by RON were consecutively included. Each patient underwent best corrected visual acuity measurement (ETDRS score) and OCT-A (Nidek RS-3000 Advance device, Nidek, Gamagori, Japan). The radial peripapillary capillary plexus (RPCP) and the entire peripapillary capillary bed (EPCB) were analysed. Quantitative analysis of the OCT-A images was performed using open-source available ImageJ software (National Institutes of Health, Bethesda, Maryland, USA). Qualitative analysis based on the proposed clinical grading (Grades 0-4) was also performed by two masked graders. Results RON clinical (qualitative) classification based on RPCP correlated with the quantitative RPCP perfusion analysis (P=0.0001). RON clinical classification based on RPCP statistically correlated with ETDRS score (P=0.001). RON clinical classification based on EPCB also correlated with the quantitative EPCB perfusion analysis and ETDRS score (P=0.02 and P=0.01, respectively). Compared with the clinical classification based on EPCB, the qualitative classification based on RPCP reached a higher intergrader agreement (0.96 and 0.86, respectively). Conclusion OCT-A can be used to detect RPCP abnormalities and to clinically classify RON with a high interexaminer agreement. The proposed clinical classification is supported by the quantitative analysis based on the use of specific images elaboration techniques and correlates with visual acuity of the examined eyes.

AB - Aims To investigate peripapillary vascular changes secondary to radiation optic neuropathy (RON) using optical coherence tomography angiography (OCT-A) and to propose a clinical grading of RON based on OCT-A findings. Methods Thirty-four patients affected by RON were consecutively included. Each patient underwent best corrected visual acuity measurement (ETDRS score) and OCT-A (Nidek RS-3000 Advance device, Nidek, Gamagori, Japan). The radial peripapillary capillary plexus (RPCP) and the entire peripapillary capillary bed (EPCB) were analysed. Quantitative analysis of the OCT-A images was performed using open-source available ImageJ software (National Institutes of Health, Bethesda, Maryland, USA). Qualitative analysis based on the proposed clinical grading (Grades 0-4) was also performed by two masked graders. Results RON clinical (qualitative) classification based on RPCP correlated with the quantitative RPCP perfusion analysis (P=0.0001). RON clinical classification based on RPCP statistically correlated with ETDRS score (P=0.001). RON clinical classification based on EPCB also correlated with the quantitative EPCB perfusion analysis and ETDRS score (P=0.02 and P=0.01, respectively). Compared with the clinical classification based on EPCB, the qualitative classification based on RPCP reached a higher intergrader agreement (0.96 and 0.86, respectively). Conclusion OCT-A can be used to detect RPCP abnormalities and to clinically classify RON with a high interexaminer agreement. The proposed clinical classification is supported by the quantitative analysis based on the use of specific images elaboration techniques and correlates with visual acuity of the examined eyes.

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