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Bolo K, Apolo Aroca G, Pardeshi AA, Chiang M, Burkemper B, Xie X, Huang AS, Simonovsky M, Xu BY. Automated expert-level scleral spur detection and quantitative biometric analysis on the ANTERION anterior segment OCT system. Br J Ophthalmol 2024; 108:702-709. [PMID: 37798075 PMCID: PMC10995103 DOI: 10.1136/bjo-2022-322328] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2022] [Accepted: 06/14/2023] [Indexed: 10/07/2023]
Abstract
AIM To perform an independent validation of deep learning (DL) algorithms for automated scleral spur detection and measurement of scleral spur-based biometric parameters in anterior segment optical coherence tomography (AS-OCT) images. METHODS Patients receiving routine eye care underwent AS-OCT imaging using the ANTERION OCT system (Heidelberg Engineering, Heidelberg, Germany). Scleral spur locations were marked by three human graders (reference, expert and novice) and predicted using DL algorithms developed by Heidelberg Engineering that prioritise a false positive rate <4% (FPR4) or true positive rate >95% (TPR95). Performance of human graders and DL algorithms were evaluated based on agreement of scleral spur locations and biometric measurements with the reference grader. RESULTS 1308 AS-OCT images were obtained from 117 participants. Median differences in scleral spur locations from reference locations were significantly smaller (p<0.001) for the FPR4 (52.6±48.6 µm) and TPR95 (55.5±50.6 µm) algorithms compared with the expert (61.1±65.7 µm) and novice (79.4±74.9 µm) graders. Intergrader reproducibility of biometric measurements was excellent overall for all four (intraclass correlation coefficient range 0.918-0.997). Intergrader reproducibility of the expert grader (0.567-0.965) and DL algorithms (0.746-0.979) exceeded that of the novice grader (0.146-0.929) for images with narrow angles defined by OCT measurement of angle opening distance 500 µm anterior to the scleral spur (AOD500)<150 µm. CONCLUSIONS DL algorithms on the ANTERION approximate expert-level measurement of scleral spur-based biometric parameters in an independent patient population. These algorithms could enhance clinical utility of AS-OCT imaging, especially for evaluating patients with angle closure and performing intraocular lens calculations.
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Affiliation(s)
- Kyle Bolo
- Roski Eye Institute, Department of Ophthalmology, University of Southern California Keck School of Medicine, Los Angeles, California, USA
| | - Galo Apolo Aroca
- Roski Eye Institute, Department of Ophthalmology, University of Southern California Keck School of Medicine, Los Angeles, California, USA
| | - Anmol A Pardeshi
- Roski Eye Institute, Department of Ophthalmology, University of Southern California Keck School of Medicine, Los Angeles, California, USA
- Department of Population and Public Health Sciences, University of Southern California Keck School of Medicine, Los Angeles, California, USA
| | - Michael Chiang
- Roski Eye Institute, Department of Ophthalmology, University of Southern California Keck School of Medicine, Los Angeles, California, USA
| | - Bruce Burkemper
- Roski Eye Institute, Department of Ophthalmology, University of Southern California Keck School of Medicine, Los Angeles, California, USA
- Department of Population and Public Health Sciences, University of Southern California Keck School of Medicine, Los Angeles, California, USA
| | - Xiaobin Xie
- Eye Hospital of China Academy of Chinese Medical Sciences, Beijing, China
| | - Alex S Huang
- Hamilton Glaucoma Center and Shiley Eye Institute, Department of Ophthalmology, University of California, San Diego, California, USA
| | | | - Benjamin Y Xu
- Roski Eye Institute, Department of Ophthalmology, University of Southern California Keck School of Medicine, Los Angeles, California, USA
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Niazi S, Gatzioufas Z, Doroodgar F, Findl O, Baradaran-Rafii A, Liechty J, Moshirfar M. Keratoconus: exploring fundamentals and future perspectives - a comprehensive systematic review. Ther Adv Ophthalmol 2024; 16:25158414241232258. [PMID: 38516169 PMCID: PMC10956165 DOI: 10.1177/25158414241232258] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Accepted: 01/22/2024] [Indexed: 03/23/2024] Open
Abstract
Background New developments in artificial intelligence, particularly with promising results in early detection and management of keratoconus, have favorably altered the natural history of the disease over the last few decades. Features of artificial intelligence in different machine such as anterior segment optical coherence tomography, and femtosecond laser technique have improved safety, precision, effectiveness, and predictability of treatment modalities of keratoconus (from contact lenses to keratoplasty techniques). These options ingrained in artificial intelligence are already underway and allow ophthalmologist to approach disease in the most non-invasive way. Objectives This study comprehensively describes all of the treatment modalities of keratoconus considering machine learning strategies. Design A multidimensional comprehensive systematic narrative review. Data sources and methods A comprehensive search was done in the five main electronic databases (PubMed, Scopus, Web of Science, Embase, and Cochrane), without language and time or type of study restrictions. Afterward, eligible articles were selected by screening the titles and abstracts based on main mesh keywords. For potentially eligible articles, the full text was also reviewed. Results Artificial intelligence demonstrates promise in keratoconus diagnosis and clinical management, spanning early detection (especially in subclinical cases), preoperative screening, postoperative ectasia prediction after keratorefractive surgery, and guiding surgical decisions. The majority of studies employed a solitary machine learning algorithm, whereas minor studies assessed multiple algorithms that evaluated the association of various keratoconus staging and management strategies. Last but not least, AI has proven effective in guiding the implantation of intracorneal ring segments in keratoconus corneas and predicting surgical outcomes. Conclusion The efficient and widespread clinical translation of machine learning models in keratoconus management is a crucial goal of potential future approaches to better visual performance in keratoconus patients. Trial registration The article has been registered through PROSPERO, an international database of prospectively registered systematic reviews, with the ID: CRD42022319338.
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Affiliation(s)
- Sana Niazi
- Translational Ophthalmology Research Center, Tehran University of Medical Sciences, Tehran, Iran
- Ophthalmic Research Center, Research Institute for Ophthalmology and Vision Science, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Zisis Gatzioufas
- Department of Ophthalmology, University Eye Hospital Basel, Basel, Switzerland
| | - Farideh Doroodgar
- Translational Ophthalmology Research Center, Tehran University of Medical Sciences, Tehran Province, Tehran, District 6, Pour Sina St, P94V+8MF, Tehran 1416753955, Iran
- Negah Aref Ophthalmic Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Oliver Findl
- Department of Ophthalmology, Hanusch Hospital, Vienna Institute for Research in Ocular Surgery (VIROS), Vienna, Austria
| | - Alireza Baradaran-Rafii
- Department of Ophthalmology, Morsani College of Medicine, University of South Florida, Tampa, FL, USA
| | - Jacob Liechty
- Department of Ophthalmology, Morsani College of Medicine, University of South Florida, Tampa, FL, USA
| | - Majid Moshirfar
- John A. Moran Eye Center, University of Utah, Salt Lake City, UT, USA
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Moshirfar M, Santos JM, Cha DS, Herron M, Stoakes IM, Hoopes PC. Exploring Nomograms for Implantable Collamer Lens Size Selection in Myopia: A Literature-based Compilation. Clin Ophthalmol 2023; 17:3307-3322. [PMID: 37933328 PMCID: PMC10625784 DOI: 10.2147/opth.s427815] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Accepted: 09/05/2023] [Indexed: 11/08/2023] Open
Abstract
Purpose To provide a comprehensive guide of all implantable collamer lens (ICL) sizing nomograms and the respective preoperative diagnostic devices that are required. This guide would help clinicians in choosing the appropriate ICL size for myopic patients to optimize postoperative vault height. Methods A literature search of peer-reviewed journals describing methods and postoperative outcomes of ICL sizing was conducted. Research articles containing ICL nomograms or formulas were identified from this search. Preoperative variables necessary for these nomograms and the required diagnostic devices to measure these parameters such as topography, biometry, or ultrasound biomicroscopy (UBM) were noted. An additional search was conducted to identify artificial intelligence (AI) or machine learning (ML)-derived nomograms. Results Eighteen ICL sizing nomograms were identified through literature search. Five of these nomograms are available for use and require topography or biometry devices. Of these, four include the manufacturer's, optimized white-to-white (WTW), Kang, Kim, and Rocamora Nomograms. Eight of the 18 nomograms available for use require UBM. Eight of these include the Kojima, Nakamura, KS, ZZ, Dougherty, Parkhurst, Russo, and Reinstein Nomograms. Four of the 18 nomograms are ML-derived including Shen, Rocamora, Russo, and Kang Nomograms. Conclusion ICL nomograms are a vital tool in helping clinicians select the right ICL size for myopic patients to optimize postoperative vault reducing risk of postoperative complications. Based on available diagnostic devices such as topography, biometry, or UBM clinicians can integrate specific nomograms into practice.
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Affiliation(s)
- Majid Moshirfar
- Hoopes Vision Research Center, Hoopes Vision, Draper, UT, USA
- John A. Moran Eye Center, University of Utah School of Medicine, Salt Lake City, UT, USA
- Utah Lions Eye Bank, Murray, UT, USA
| | - Jordan M Santos
- University of Arizona College of Medicine Phoenix, Phoenix, AZ, USA
| | - David S Cha
- Saint Louis University School of Medicine, St Louis, MO, USA
| | - Michael Herron
- University of Nevada, Reno School of Medicine, Reno, NV, USA
| | - Isabella M Stoakes
- Hoopes Vision Research Center, Hoopes Vision, Draper, UT, USA
- Pacific Northwest University of Health Sciences, Yakima, WA, USA
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Mahmoud MSED, AbdelHalim AS, Zein HA. Effect of Light Conditions and Accommodation on Implantable Phakic Contact Lens Vault by Anterior Segment Optical Coherence Tomography. Clin Ophthalmol 2022; 16:1439-1447. [PMID: 35547401 PMCID: PMC9084507 DOI: 10.2147/opth.s359296] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2022] [Accepted: 04/11/2022] [Indexed: 11/26/2022] Open
Abstract
Purpose To investigate the dynamic pupil and vault changes in eyes with implantable phakic contact lens (IPCL) under photopic and scotopic settings, as well as during accommodation using the anterior segment optical coherence tomography (AS-OCT). Methods A prospective observational study included consecutive 36 eyes of myopic patients who underwent IPCL V2.0 implantation. Under photopic and scotopic light settings, as well as during accommodation, all patients were scanned using CASIA OCT (CASIA2; TOMEY, Nagoya, Japan). The pupil size, the vault (distance between the back surface of the IPCL and the anterior lens capsule), ACD-lens (distance between the posterior corneal surface and the anterior lens surface), IPCL-lens (distance between the posterior corneal surface and the anterior IPCL surface), and lens thickness (LT) were the study parameters. Results The vault was significantly lower under photopic conditions (p-value<0.001). The pupil size was significantly smaller in photopic conditions (p-value<0.001). LT (p-value=0.975) and ACD-lens (p-value=0.917) were not significantly different between scotopic and photopic conditions, while the ACD-IPCL was significantly larger during photopic conditions (p-value=0.013). There were significant changes in all parameters between accommodative and non-accommodative conditions. Conclusion The IPCL vault decreased significantly under photopic light conditions and accommodation.
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Affiliation(s)
- Mohamed Salah El-Din Mahmoud
- Ophthalmology Department, Faculty of Medicine, Minia University, Minia, Egypt
- Correspondence: Mohamed Salah El-Din Mahmoud, Ophthalmology Department, Faculty of Medicine, Minia University, Minia, Egypt, Tel +20 1003321802, Email ;
| | | | - Hosny Ahmed Zein
- Ophthalmology Department, Faculty of Medicine, Minia University, Minia, Egypt
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Dong J, Yao J, Chang S, Kanclerz P, Khoramnia R, Wang X. Comparison Study of the Two Biometers Based on Swept-Source Optical Coherence Tomography Technology. Diagnostics (Basel) 2022; 12:diagnostics12030598. [PMID: 35328151 PMCID: PMC8947380 DOI: 10.3390/diagnostics12030598] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Revised: 02/18/2022] [Accepted: 02/22/2022] [Indexed: 12/10/2022] Open
Abstract
This research aimed to investigate the potential differences in the parameters, including axial length (AL), central corneal thickness (CCT), anterior chamber depth (ACD), lens thickness (LT), flat keratometry (Kf), steep keratometry (Ks), mean keratometry (Km), astigmatism, white-to-white (WTW) distance, acquired rate, and intraocular lens (IOL) power, between the two swept-source optical coherence tomography (SS-OCT) biometers, the ANTERION (biometer A) and IOLMaster 700 (biometer B). In a prospective observational comparative case series study, we enrolled 198 eyes undergoing cataract surgery. The AL, CCT, ACD, LT, Kf, Ks, Km, astigmatism, WTW, acquired rate, and IOL power were assessed. McNemar tests compared the acquired rate, and the paired sample t-test compared the quantitative measurement results between the groups. Nineteen eyes were excluded owing to missing AL data for either biometer. Finally, data from 179 eyes were analyzed. Between the two devices, no significant difference was found in AL, astigmatism magnitude, J0, and J45, while significant differences existed in CCT, ACD, LT, Kf, Ks, Km, WTW, astigmatism axis, and IOL power; no statistical significance was found in the AL acquired rate (biometer A, 90.9% and biometer B, 93.9%). Approximately 65.4% of eyes demonstrated ≥0.5-D difference in IOL power between the two biometers. In conclusion, the two biometers showed significant differences in all measurements (CCT, ACD, LT, K, WTW, astigmatism axis, and IOL power), except for AL.
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Affiliation(s)
- Jing Dong
- Department of Ophthalmology, First Hospital of Shanxi Medical University, Taiyuan 030001, China;
| | - Jinhan Yao
- Department of Cataract, Shanxi Eye Hospital Affiliated to Shanxi Medical University, Taiyuan 030002, China; (J.Y.); (S.C.)
| | - Shuimiao Chang
- Department of Cataract, Shanxi Eye Hospital Affiliated to Shanxi Medical University, Taiyuan 030002, China; (J.Y.); (S.C.)
| | - Piotr Kanclerz
- Hygeia Clinic, 80-286 Gdańsk, Poland;
- Helsinki Retina Research Group, University of Helsinki, 00014 Helsinki, Finland
| | - Ramin Khoramnia
- The David J. Apple International Laboratory for Ocular Pathology, Department of Ophthalmology, University of Heidelberg, 69120 Heidelberg, Germany;
| | - Xiaogang Wang
- Department of Cataract, Shanxi Eye Hospital Affiliated to Shanxi Medical University, Taiyuan 030002, China; (J.Y.); (S.C.)
- Correspondence: ; Tel.: +86-13834246830; Fax: +86-0351-8231262
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