Literature DB >> 34135452

Learning curve evaluation upskilling retinal imaging using smartphones.

Linus G Jansen1, Payal Shah2, Bettina Wabbels1, Frank G Holz1, Robert P Finger1, Maximilian W M Wintergerst3.   

Abstract

Smartphone-based fundus imaging (SBFI) is a low-cost approach for screening of various ophthalmic diseases and particularly suited to resource limited settings. Thus, we assessed how best to upskill alternative healthcare cadres in SBFI and whether quality of obtained images is comparable to ophthalmologists. Ophthalmic assistants and ophthalmologists received a standardized training to SBFI (Heine iC2 combined with an iPhone 6) and 10 training examinations for capturing central retinal images. Examination time, total number of images, image alignment, usable field-of-view, and image quality (sharpness/focus, reflex artifacts, contrast/illumination) were analyzed. Thirty examiners (14 ophthalmic assistants and 16 ophthalmologists) and 14 volunteer test subjects were included. Mean examination time (1st and 10th training, respectively: 2.17 ± 1.54 and 0.56 ± 0.51 min, p < .0001), usable field-of-view (92 ± 16% and 98 ± 6.0%, p = .003) and image quality in terms of sharpness/focus (p = .002) improved by the training. Examination time was significantly shorter for ophthalmologists compared to ophthalmic assistants (10th training: 0.35 ± 0.21 and 0.79 ± 0.65 min, p = .011), but there was no significant difference in usable field-of-view and image quality. This study demonstrates the high learnability of SBFI with a relatively short training and mostly comparable results across healthcare cadres. The results will aid implementing and planning further SBFI field studies.

Entities:  

Year:  2021        PMID: 34135452     DOI: 10.1038/s41598-021-92232-w

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  27 in total

1.  Comparison Among Methods of Retinopathy Assessment (CAMRA) Study: Smartphone, Nonmydriatic, and Mydriatic Photography.

Authors:  Martha E Ryan; Ramachandran Rajalakshmi; Vijayaraghavan Prathiba; Ranjit Mohan Anjana; Harish Ranjani; K M Venkat Narayan; Timothy W Olsen; Viswanathan Mohan; Laura A Ward; Michael J Lynn; Andrew M Hendrick
Journal:  Ophthalmology       Date:  2015-07-16       Impact factor: 12.079

2.  Validation of Smartphone-Based Retinal Photography for Diabetic Retinopathy Screening.

Authors:  Yannick Bilong; Jean-Claude Katte; Godefroy Koki; Giles Kagmeni; Odile Pascale Nga Obama; Hermann Rossi Ngoufo Fofe; Caroline Mvilongo; Oliver Nkengfack; Andre Michel Bimbai; Eugene Sobngwi; Wilfred Mbacham; Jean Claude Mbanya; Lucienne Assumpta Bella; Ashish Sharma
Journal:  Ophthalmic Surg Lasers Imaging Retina       Date:  2019-05-01       Impact factor: 1.300

3.  Comparison of smartphone ophthalmoscopy with slit-lamp biomicroscopy for grading diabetic retinopathy.

Authors:  Andrea Russo; Francesco Morescalchi; Ciro Costagliola; Luisa Delcassi; Francesco Semeraro
Journal:  Am J Ophthalmol       Date:  2014-11-07       Impact factor: 5.258

4.  Diabetic Retinopathy Screening Using Smartphone-Based Fundus Imaging in India.

Authors:  Maximilian W M Wintergerst; Divyansh K Mishra; Laura Hartmann; Payal Shah; Vinaya K Konana; Pradeep Sagar; Moritz Berger; Kaushik Murali; Frank G Holz; Mahesh P Shanmugam; Robert P Finger
Journal:  Ophthalmology       Date:  2020-05-25       Impact factor: 12.079

5.  Development and Validation of a Smartphone-Based Visual Acuity Test (Peek Acuity) for Clinical Practice and Community-Based Fieldwork.

Authors:  Andrew Bastawrous; Hillary K Rono; Iain A T Livingstone; Helen A Weiss; Stewart Jordan; Hannah Kuper; Matthew J Burton
Journal:  JAMA Ophthalmol       Date:  2015-08       Impact factor: 7.389

6.  Validation of Smartphone Based Retinal Photography for Diabetic Retinopathy Screening.

Authors:  Ramachandran Rajalakshmi; Subramanian Arulmalar; Manoharan Usha; Vijayaraghavan Prathiba; Khaji Syed Kareemuddin; Ranjit Mohan Anjana; Viswanathan Mohan
Journal:  PLoS One       Date:  2015-09-24       Impact factor: 3.240

7.  Undilated versus dilated monoscopic smartphone-based fundus photography for optic nerve head evaluation.

Authors:  Maximilian W M Wintergerst; Christian K Brinkmann; Frank G Holz; Robert P Finger
Journal:  Sci Rep       Date:  2018-07-06       Impact factor: 4.379

8.  Smartphone-Based, Rapid, Wide-Field Fundus Photography for Diagnosis of Pediatric Retinal Diseases.

Authors:  Tapan P Patel; Tyson N Kim; Gina Yu; Vaidehi S Dedania; Philip Lieu; Cynthia X Qian; Cagri G Besirli; Hakan Demirci; Todd Margolis; Daniel A Fletcher; Yannis M Paulus
Journal:  Transl Vis Sci Technol       Date:  2019-05-30       Impact factor: 3.283

9.  Non-contact smartphone-based fundus imaging compared to conventional fundus imaging: a low-cost alternative for retinopathy of prematurity screening and documentation.

Authors:  Maximilian W M Wintergerst; Michael Petrak; Jeany Q Li; Petra P Larsen; Moritz Berger; Frank G Holz; Robert P Finger; Tim U Krohne
Journal:  Sci Rep       Date:  2019-12-23       Impact factor: 4.379

10.  Clinical Validation of a Smartphone-Based Adapter for Optic Disc Imaging in Kenya.

Authors:  Andrew Bastawrous; Mario Ettore Giardini; Nigel M Bolster; Tunde Peto; Nisha Shah; Iain A T Livingstone; Helen A Weiss; Sen Hu; Hillary Rono; Hannah Kuper; Matthew Burton
Journal:  JAMA Ophthalmol       Date:  2016-02       Impact factor: 7.389

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  1 in total

Review 1.  [Smartphone-based fundus imaging: applications and adapters].

Authors:  Linus G Jansen; Thomas Schultz; Frank G Holz; Robert P Finger; Maximilian W M Wintergerst
Journal:  Ophthalmologe       Date:  2021-12-16       Impact factor: 1.059

  1 in total

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