Comparison Study of Funduscopic Examination Using a Smartphone-Based Digital Ophthalmoscope and the Direct Ophthalmoscope

Wu, Amy Ruomei; Fouzdar-Jain, Samiksha; Suh, Donny W.

doi:10.3928/01913913-20180220-01

Cited by 36 publications

(39 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…[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%

“…11 Multiple alternatives for fundus examination have been developed including smart phone ophthalmoscopes. 15,17,18 These consist of a lens adapter attached to a smart phone camera. 14,17,18 Many studies have suggested that smart phone ophthalmoscopy may be easier to teach in medical school and is preferred by medical students.…”

Section: Introductionmentioning

confidence: 99%

“…15,17,18 These consist of a lens adapter attached to a smart phone camera. 14,17,18 Many studies have suggested that smart phone ophthalmoscopy may be easier to teach in medical school and is preferred by medical students. 14,17,18 Improving access to smartphone ophthalmoscopy removes the barrier of developing the skill required to perform direct ophthalmoscopy.…”

Section: Introductionmentioning

confidence: 99%

“…14,17,18 Many studies have suggested that smart phone ophthalmoscopy may be easier to teach in medical school and is preferred by medical students. 14,17,18 Improving access to smartphone ophthalmoscopy removes the barrier of developing the skill required to perform direct ophthalmoscopy. 11,18 This may also enable teaching to focus on interpreting the findings of fundoscopy instead.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

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

Laurent

Hong

Cheyne

et al. 2020

OPTH

View full text Add to dashboard Cite

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.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

View full text Add to dashboard Cite

show abstract

“…Several works are interested to the quality of fundus image captured by Smartphone, with respect to the clinical employment. The work described in [32] describes an experimentation that evaluates the D-EYE lens captured fundus images with respect to the direct ophthalmoscope ones. A rating between 0 and 5 is asked from 25 patients to each picture.…”

Section: Quality Of Smartphone-captured Fundus Imagesmentioning

confidence: 99%

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

Akil

Elloumi

2019

Real-Time Image Processing and Deep Learning 2019

View full text Add to dashboard Cite

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.

show abstract

Effect of the iExaminer Teaching Method on Fundus Examination Skills

et al. 2019

View full text Add to dashboard Cite

show abstract

Comparison Study of Funduscopic Examination Using a Smartphone-Based Digital Ophthalmoscope and the Direct Ophthalmoscope

Cited by 36 publications

References 3 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

Effect of the iExaminer Teaching Method on Fundus Examination Skills

Contact Info

Product

Resources

About