Literature DB >> 29753852

Color Fundus Photography, Optical Coherence Tomography, and Fluorescein Angiography in Diagnosing Polypoidal Choroidal Vasculopathy.

Voraporn Chaikitmongkol1, Preeyanuch Khunsongkiet1, Direk Patikulsila1, Mansing Ratanasukon2, Nawat Watanachai1, Chaisiri Jumroendararasame3, Catherine B Mayerle4, Ian C Han4, Connie J Chen5, Pawara Winaikosol6, Chutikarn Dejkriengkraikul6, Janejit Choovuthayakorn1, Paradee Kunavisarut1, Neil M Bressler7.   

Abstract

PURPOSE: To determine sensitivity and specificity of polypoidal choroidal vasculopathy (PCV) diagnosis using color fundus photography (CFP), optical coherence tomography (OCT), and fundus fluorescein angiography (FFA) without indocyanine green angiography (ICGA).
DESIGN: Validity analysis.
METHODS: Treatment-naïve eyes with serous/serosanguinous maculopathy undergoing CFP, OCT, FFA, and ICGA imaging before treatment at a university hospital in Thailand (January 1, 2013 to June 30, 2015) were identified. Images of each subject were categorized into 4 sets (set A: CFP; set B: CFP+OCT; set C: CFP+FFA; set D: CFP+OCT+FFA). Six graders, 3 from Thailand (PCV endemic area) and 3 from the United States (nonendemic area), individually reviewed each set (without ICGA), and determined if the presumed diagnosis was PCV. In parallel, 2 other graders confirmed if each case had PCV or not using EVEREST criteria (including ICGA). Sensitivity and specificity of a PCV diagnosis with each set (without ICGA) were analyzed compared with diagnoses including ICGA.
RESULTS: Of 119 study eyes (113 subjects, 57% male, mean age ± SD 59.9 ± 13.8 years), definite PCV diagnosis was 40.3%. Sensitivity of sets A, B, C, D: 0.63 (95% confidence interval [CI]: 0.47-0.76), 0.83 (95% CI: 0.69-0.92), 0.54 (95% CI: 0.39-0.68), 0.67 (95% CI: 0.51-0.79); specificities: 0.93 (95% CI: 0.84-0.97), 0.83 (95% CI: 0.72-0.91), 0.97 (95% CI: 0.89-0.99), 0.92 (95% CI: 0.82-0.97); accuracies: 0.81 (95% CI: 0.73-0.88), 0.83 (95% CI: 0.76-0.90), 0.79 (95% CI: 0.73-0.87), 0.82 (95% CI: 0.74-0.88). Discrepancies between Thai and US graders existed through sets A, C, and D.
CONCLUSIONS: These data suggest that without ICGA, fundus photography combined with OCT provides high sensitivity and high specificity to diagnose PCV; adding FFA does not improve accuracy.
Copyright © 2018 Elsevier Inc. All rights reserved.

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Mesh:

Year:  2018        PMID: 29753852     DOI: 10.1016/j.ajo.2018.05.005

Source DB:  PubMed          Journal:  Am J Ophthalmol        ISSN: 0002-9394            Impact factor:   5.258


  10 in total

1.  Comparison between non-visualized polyps and visualized polyps on optical coherence tomography angiography in polypoidal choroidal vasculopathy.

Authors:  Zongyi Zhan; Limei Sun; Chenjin Jin; Yu Yang; Andina Hu; Miao Tang; Zhirong Wang; Xiaoyan Ding
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2019-08-24       Impact factor: 3.117

2.  Diagnostic Value of Spectral-Domain Optical Coherence Tomography for Polypoidal Choroidal Vasculopathy: A Systematic Review and Meta-Analysis.

Authors:  Yang Jiang; Shixin Qi
Journal:  Front Med (Lausanne)       Date:  2022-06-15

3.  Small dome-shaped pigment epithelium detachment in polypoidal choroidal vasculopathy: an under-recognized sign of polypoidal lesions on optical coherence tomography?

Authors:  Yuwei Wang; Qiyu Bo; Huixun Jia; Mengsha Sun; Yang Yu; Peirong Huang; Jing Wang; Nana Xu; Fenghua Wang; Hong Wang; Xiaodong Sun
Journal:  Eye (Lond)       Date:  2021-04-08       Impact factor: 3.775

Review 4.  Application of machine learning in ophthalmic imaging modalities.

Authors:  Yan Tong; Wei Lu; Yue Yu; Yin Shen
Journal:  Eye Vis (Lond)       Date:  2020-04-16

5.  Noninvasive multimodal imaging in diagnosing polypoidal choroidal vasculopathy.

Authors:  Jingyuan Yang; Mingzhen Yuan; Erqian Wang; Song Xia; Youxin Chen
Journal:  BMC Ophthalmol       Date:  2019-11-16       Impact factor: 2.209

6.  Polypoidal Choroidal Vasculopathy in Congolese Patients.

Authors:  Nelly N Kabedi; David L Kayembe; Gloria M Elongo; Jean-Claude Mwanza
Journal:  J Ophthalmol       Date:  2020-01-18       Impact factor: 1.909

Review 7.  Optical coherence tomography in diagnosing polypoidal choroidal vasculopathy. Looking into the future: a systematic review and meta-analysis.

Authors:  Annisa C Permadi; Ari Djatikusumo; Gitalisa Andayani Adriono
Journal:  Int J Retina Vitreous       Date:  2022-02-28

Review 8.  Current Trends in Clinical Characteristics, Diagnosis, and Treatment of Polypoidal Choroidal Vasculopathy: A Perspective from Vietnam.

Authors:  Dang Tran Dat; Nguyen Do Thi Ngoc Hien; Nguyen Nhu Quan; Mai Quoc Tung; Hoang Chi Tam; Bui Viet Hung
Journal:  J Clin Med       Date:  2022-08-10       Impact factor: 4.964

9.  Therapeutic Effect of Abelmoschus manihot on Type 2 Diabetic Nonproliferative Retinopathy and the Involvement of VEGF.

Authors:  Yue Zhao; Xu Yu; Yan Lou; Xinyi Sun; Boyu Zhu; Weilong Xu; Lei Zhou; Hao Wu; Qingzi Jin; Heng Wang; Jianjiang Shen; Jiangyi Yu; Xiaofei An
Journal:  Evid Based Complement Alternat Med       Date:  2020-04-30       Impact factor: 2.629

10.  Diagnosis of Polypoidal Choroidal Vasculopathy From Fluorescein Angiography Using Deep Learning.

Authors:  Yu-Yeh Tsai; Wei-Yang Lin; Shih-Jen Chen; Paisan Ruamviboonsuk; Cheng-Ho King; Chia-Ling Tsai
Journal:  Transl Vis Sci Technol       Date:  2022-02-01       Impact factor: 3.283

  10 in total

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