Literature DB >> 25139430

Ophthalmic imaging.

Tomas Ilginis1, Jonathan Clarke1, Praveen J Patel2.   

Abstract

INTRODUCTION OR
BACKGROUND: The last two decades have seen a revolution in ophthalmic imaging. In this review we present an overview of the breadth of ophthalmic imaging modalities in use today and describe how the role of ophthalmic imaging has changed from documenting abnormalities visible on clinical examination to the detection of clinically silent abnormalities which can lead to an earlier and more precise diagnosis. SOURCES OF DATA: This review is based on published literature in the fields of ophthalmic imaging and with focus on most commonly used imaging modalities. AREAS OF AGREEMENT: New imaging techniques enable non-invasive evaluation of ocular structures at a resolution of a few micrometres. This has led to a re-evaluation of diagnostic criteria for ocular disease, which were previously defined by clinical findings without significant reference to imaging. AREAS OF CONTROVERSY: Lack of formal training and clinical guidelines regarding use of new imaging techniques in diagnosing and monitoring various ocular conditions. Lack of large normative databases and interchangeability issues between different commercial machines can hinder the detection of disease progression. GROWING POINTS: Imaging devices are being constantly refined with improved image capture and image analysis tools. AREAS TIMELY FOR DEVELOPING RESEARCH: Clinical applications of new techniques and devices have yet to be determined using systematic scientific research methods.
© The Author 2014. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  fluorescein angiography; fundus autofluorescence; indocyanine green angiography; ophthalmic imaging; optical coherence tomography; scanning laser ophthalmoscope

Mesh:

Year:  2014        PMID: 25139430     DOI: 10.1093/bmb/ldu022

Source DB:  PubMed          Journal:  Br Med Bull        ISSN: 0007-1420            Impact factor:   4.291


  10 in total

Review 1.  A comprehensive review of diagnostic imaging technologies to evaluate the retina and the optic disk.

Authors:  Asima Bajwa; Rabia Aman; Ashvini K Reddy
Journal:  Int Ophthalmol       Date:  2015-06-05       Impact factor: 2.031

Review 2.  Beyond the margins: real-time detection of cancer using targeted fluorophores.

Authors:  Ray R Zhang; Alexandra B Schroeder; Joseph J Grudzinski; Eben L Rosenthal; Jason M Warram; Anatoly N Pinchuk; Kevin W Eliceiri; John S Kuo; Jamey P Weichert
Journal:  Nat Rev Clin Oncol       Date:  2017-01-17       Impact factor: 66.675

3.  HODD: A Manually Curated Database of Human Ophthalmic Diseases with Symptom Characteristics and Genetic Variants Towards Facilitating Quick and Definite Diagnosis.

Authors:  Zhaotian Zhang; Qiang Tang; Qiong Wang; Fulei Nie; Limei Sun; Delun Luo; Wei Chen; Xiaoyan Ding
Journal:  Interdiscip Sci       Date:  2021-11-30       Impact factor: 2.233

Review 4.  Fundus autofluorescence imaging: systematic review of test accuracy for the diagnosis and monitoring of retinal conditions.

Authors:  G K Frampton; N Kalita; L Payne; J L Colquitt; E Loveman; S M Downes; A J Lotery
Journal:  Eye (Lond)       Date:  2017-03-10       Impact factor: 3.775

5.  Deep learning is effective for the classification of OCT images of normal versus Age-related Macular Degeneration.

Authors:  Cecilia S Lee; Doug M Baughman; Aaron Y Lee
Journal:  Ophthalmol Retina       Date:  2017-02-13

6.  Human photoreceptor cone density measured with adaptive optics technology (rtx1 device) in healthy eyes: Standardization of measurements.

Authors:  Anna Zaleska-Żmijewska; Zbigniew M Wawrzyniak; Magdalena Ulińska; Jerzy Szaflik; Anna Dąbrowska; Jacek P Szaflik
Journal:  Medicine (Baltimore)       Date:  2017-06       Impact factor: 1.889

Review 7.  Imaging retinal melanin: a review of current technologies.

Authors:  Maryse Lapierre-Landry; Joseph Carroll; Melissa C Skala
Journal:  J Biol Eng       Date:  2018-12-04       Impact factor: 4.355

Review 8.  Towards a Connected Mobile Cataract Screening System: A Future Approach.

Authors:  Wan Mimi Diyana Wan Zaki; Haliza Abdul Mutalib; Laily Azyan Ramlan; Aini Hussain; Aouache Mustapha
Journal:  J Imaging       Date:  2022-02-10

Review 9.  Review of Machine Learning Applications Using Retinal Fundus Images.

Authors:  Yeonwoo Jeong; Yu-Jin Hong; Jae-Ho Han
Journal:  Diagnostics (Basel)       Date:  2022-01-06

10.  Multi-Compartment Spatially-Derived Radiomics From Optical Coherence Tomography Predict Anti-VEGF Treatment Durability in Macular Edema Secondary to Retinal Vascular Disease: Preliminary Findings.

Authors:  Sudeshna Sil Kar; Duriye Damla Sevgi; Vincent Dong; Sunil K Srivastava; Anant Madabhushi; Justis P Ehlers
Journal:  IEEE J Transl Eng Health Med       Date:  2021-07-12
  10 in total

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