Smart phone ophthalmoscopy: a potential replacement for the direct ophthalmoscope

Mamtora, Sunil; Sandinha, Maria Teresa; Ajith, Amritha; Song, Anna; Steel, David

doi:10.1038/s41433-018-0177-1

Cited by 46 publications

(58 citation statements)

References 15 publications

(14 reference statements)

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“…4 Despite this, examining the fundus and detecting SVP can be a challenge for clinicians. [11][12][13][14] SVP is best detected through a dilated pupil and using appropriate magnification such as with a direct ophthalmoscope or slit lamp with a 78D or 60D lens. 5,15 It is also essential to view the optic disc for an appropriate length of time to accurately assess for SVP.…”

Section: Introductionmentioning

confidence: 99%

“…5,11 Despite this clinicians and medical students have reported they are not comfortable performing direct ophthalmoscopy and are not confident in reporting their findings or identifying abnormalities. [11][12][13][14] Direct ophthalmoscopy takes skill to perform and requires practice, however there is very little time spent learning ophthalmology in medical schools around the world. [11][12][13][14]16,17 Furthermore, time is a significant barrier for clinicians to practice and perform this skill in busy clinics.…”

Section: Introductionmentioning

confidence: 99%

“…[11][12][13][14] Direct ophthalmoscopy takes skill to perform and requires practice, however there is very little time spent learning ophthalmology in medical schools around the world. [11][12][13][14]16,17 Furthermore, time is a significant barrier for clinicians to practice and perform this skill in busy clinics. 11 Multiple alternatives for fundus examination have been developed including smart phone ophthalmoscopes.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

<p>The Detection of Spontaneous Venous Pulsation with Smartphone Video Ophthalmoscopy</p>

Laurent

Hong

Cheyne

et al. 2020

OPTH

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Spontaneous venous pulsation (SVP) has a high negative predictive value for raised intracranial pressure and is a useful sign when assessing patients with headache. The objective was to determine if smartphone-based video ophthalmoscopy can detect SVP. Patients and Methods: In total 233 patients and 291 eyes were recruited from the Dunedin Hospital eye clinic from July to November 2018. Patients were examined by a clinician and graded for SVP with a slit lamp and 78 Dioptre lens. Videos were taken with a smartphone ophthalmoscope and graded by two separate clinicians blinded to the slit lamp findings. Results: Only 272 eyes of 215 patients were included, as others failed in the inclusion criteria for overall video quality. Sensitivity was calculated as how likely the presence of SVP on video was indicative of the presence of SVP on slit lamp. Sensitivity was 84.77% for Observer 1, with 128 videos graded as positive for SVP on video ophthalmoscopy of the 151 identified as positive on slit lamp examination. Sensitivity was 76.82% for Observer 2 with 116 videos correctly identified. The false positive rate was calculated as the number of videos graded positive for SVP that had been graded as negative on slit lamp examination. This was 10.74% for observer 1 and 31.40% for observer 2. Conclusion: This study demonstrates that SVP is detected by video ophthalmoscopy. This may be a useful triage, telemedicine and referral tool to be used for patients with headache in a primary care setting.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

<p>The Detection of Spontaneous Venous Pulsation with Smartphone Video Ophthalmoscopy</p>

Laurent

Hong

Cheyne

et al. 2020

OPTH

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“…Thus, an important delay was registered in the ocular diagnosis which explain the blindness ration rising. Therefore, the Smartphone represent a serious alternative solution for retinal screening [4,5]. Several image capture devices which can be snapped on Smartphone have recently been proposed, with competitive prices.…”

Section: Introductionmentioning

confidence: 99%

Detection of retinal abnormalities using smartphone-captured fundus images: a survey

Akil

Elloumi

2019

Real-Time Image Processing and Deep Learning 2019

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Several retinal pathologies lead to severe damages that may achieve vision lost. Moreover, some damages require expensive treatment, other ones are irreversible due to the lack of therapies. Therefore, early diagnoses are highly recommended to control ocular diseases. However, early stages of several ocular pathologies lead to the symptoms that cannot be distinguish by the patients. Moreover, ageing population is an important prevalence factor of ocular diseases which is the cases of most industrial counties. Further, this feature involves a lake of mobility which presents a limiting factor to perform periodical eye screening. Those constraints lead to a late of ocular diagnosis and hence important ocular pathology patients are registered. The forecast statistics indicates that affected population will be increased in coming years. Several devices allowing the capture of the retina have recently been proposed. They are composed by optical lenses which can be snapped on Smartphone, providing fundus images with acceptable quality. Thence, the challenge is to perform automatic ocular pathology detection on Smartphone captured fundus images that achieves higher performance detection while respecting timing constraint with respect to the clinical employment. This paper presents a survey of the Smartphonecaptured fundus image quality and the existing methods that use them for retinal structures and abnormalities detection. For this purpose, we first summarize the works that evaluate the Smartphone-captures fundus image quality and their FOV (field-of-view). Then, we report the capability to detect abnormalities and ocular pathologies from those fundus images. Thereafter, we propose a flowchart of processing pipeline of detecting methods from Smartphone captured fundus images and we investigate about the implementation environment required to perform the detection of retinal abnormalities.

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“…Purbrick and Chong's assertion that expecting medical students to become competent in direct ophthalmoscopy in the teaching timeframes allocated is unrealistic is valid. The emergence of digital photography in primary care practice, as well as the utility of smartphone ophthalmoscopes, has prompted a modification of the list of ophthalmology‐related objectives for medical students by the Association of University Professors in Ophthalmology with a de‐emphasis of direct ophthalmoscopy skills. The online resources they are developing will be a useful reference.…”

mentioning

confidence: 99%

Sharpening the focus on ophthalmology teaching: has anything changed?

Green

2018

Clinical Exper Ophthalmology

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Smart phone ophthalmoscopy: a potential replacement for the direct ophthalmoscope

Abstract: Our study suggests that the use of a smartphone-based alternative to the direct ophthalmoscope may improve the accuracy and quality of fundal examinations by non-ophthalmologists.

Cited by 46 publications

References 15 publications

<p>The Detection of Spontaneous Venous Pulsation with Smartphone Video Ophthalmoscopy</p>

<p>The Detection of Spontaneous Venous Pulsation with Smartphone Video Ophthalmoscopy</p>

Detection of retinal abnormalities using smartphone-captured fundus images: a survey

Sharpening the focus on ophthalmology teaching: has anything changed?

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