Volume 48, Issue 2 pp. 192-203
ORIGINAL ARTICLE

Clinical validation of the RTVue optical coherence tomography angiography image quality indicators

Noha Ali MMed(OphthSc)

Noha Ali MMed(OphthSc)

Centre for Ophthalmology and Visual Science (Incorporating Lions Eye Institute), The University of Western Australia, Perth, Western Australia, Australia

Department of Ophthalmology, Faculty of Medicine, Assiut University, Assiut, Egypt

Search for more papers by this author
Danuta M. Sampson PhD

Danuta M. Sampson PhD

Centre for Ophthalmology and Visual Science (Incorporating Lions Eye Institute), The University of Western Australia, Perth, Western Australia, Australia

Surrey Biophotonics, Centre for Vision, Speech and Signal Processing and School of Biosciences and Medicine, The University of Surrey, Guildford, UK

Search for more papers by this author
Alex Au Yong BSc

Alex Au Yong BSc

Centre for Ophthalmology and Visual Science (Incorporating Lions Eye Institute), The University of Western Australia, Perth, Western Australia, Australia

Search for more papers by this author
Rumaanah Jeewa BSc

Rumaanah Jeewa BSc

Centre for Ophthalmology and Visual Science (Incorporating Lions Eye Institute), The University of Western Australia, Perth, Western Australia, Australia

Search for more papers by this author
Saumya Rajgopal BSc

Saumya Rajgopal BSc

Centre for Ophthalmology and Visual Science (Incorporating Lions Eye Institute), The University of Western Australia, Perth, Western Australia, Australia

Search for more papers by this author
Deepaysh D. C. S. Dutt BSc

Deepaysh D. C. S. Dutt BSc

Centre for Ophthalmology and Visual Science (Incorporating Lions Eye Institute), The University of Western Australia, Perth, Western Australia, Australia

Search for more papers by this author
Sharaf Mohamed MD

Sharaf Mohamed MD

Department of Ophthalmology, Faculty of Medicine, Assiut University, Assiut, Egypt

Search for more papers by this author
Shehata Mohamed MD

Shehata Mohamed MD

Department of Ophthalmology, Faculty of Medicine, Assiut University, Assiut, Egypt

Search for more papers by this author
Moreno Menghini MD FEBO

Moreno Menghini MD FEBO

Department of Ophthalmology, Sir Charles Gairdner Hospital, Perth, Western Australia, Australia

Search for more papers by this author
Alex Hansen MBBS

Alex Hansen MBBS

Department of Ophthalmology, Sir Charles Gairdner Hospital, Perth, Western Australia, Australia

Search for more papers by this author
Fred K. Chen PhD FRANZCO

Corresponding Author

Fred K. Chen PhD FRANZCO

Centre for Ophthalmology and Visual Science (Incorporating Lions Eye Institute), The University of Western Australia, Perth, Western Australia, Australia

Department of Ophthalmology, Royal Perth Hospital, Perth, Western Australia, Australia

Correspondence

Dr Fred K. Chen, Lions Eye Institute, 2 Verdun Street, Nedlands, WA 6009, Australia.

Email: [email protected]

Search for more papers by this author
First published: 09 November 2019
Citations: 14
Noha Ali and Danuta M. Sampson are considered as equal first authors.

Abstract

Importance

All automated image quality indicators for en face optical coherence tomography angiography (OCTA) images require gold standard validation for determining optimum thresholds.

Background

A manual grading system (gold standard) for OCTA images was validated and compared to two automated image quality indicators: signal strength index (SSI) and scan quality index (SQI) generated by different software versions of the Optovue OCTA device.

Design

Retrospective cross-sectional study.

Participants

A total of 52 eyes of 52 healthy individual and 77 eyes of 51 patients with retinal vascular diseases.

Methods

A total of 129 OCTA images of the superficial vascular plexus were graded manually by three independent examiners. Each image was assigned grades 1 to 4 (1-2, unacceptable; 3-4, acceptable) masked to the software-generated quality indicators.

Main Outcome Measures

Inter-grader agreement and comparison of the utility of SSI and SQI in discriminating between acceptable and unacceptable OCTA images.

Results

There was a substantial agreement between the three graders (κ = 0.63). Mean SSI and SQI was significantly different between acceptable and unacceptable images (P < .001). SQI outperformed SSI in separating acceptable from unacceptable images (areas under the receiver operating characteristic curve: 0.87 vs 0.80) and the optimum cut-off was ≥7 for SQI and ≥70 for SSI for acceptable images. Up to 30% of images with quality indicators reaching the optimum SQI and SSI cut-off thresholds still had unacceptable quality on manual grading. Unacceptable images were found in 33% and 66% of healthy and diseased eyes, respectively.

Conclusions and Relevance

SQI is closely related to manual grading but we caution reliance on the optimized threshold to determine image quality. SQI is superior to SSI in discriminating between acceptable and unacceptable images.

CONFLICT OF INTEREST

None declared.

The full text of this article hosted at iucr.org is unavailable due to technical difficulties.