Literature DB >> 28445703

Sensitivity and Specificity of Laser-Scanning In Vivo Confocal Microscopy for Filamentous Fungal Keratitis: Role of Observer Experience.

Ahmad Kheirkhah1, Zeba A Syed1, Vannarut Satitpitakul2, Sunali Goyal3, Rodrigo Müller4, Elmer Y Tu5, Reza Dana6.   

Abstract

PURPOSE: To determine sensitivity and specificity of laser-scanning in vivo confocal microscopy (LS-IVCM) for detection of filamentous fungi in patients with microbial keratitis and to evaluate the effect of observer's imaging experience on these parameters.
DESIGN: Retrospective reliability study.
METHODS: This study included 21 patients with filamentous fungal keratitis and 24 patients with bacterial keratitis (as controls). The etiology of infection was confirmed based on the response to specific therapy regardless of culture results. All patients had undergone full-thickness corneal imaging by a LS-IVCM (Heidelberg Retina Tomograph 3 with Rostock Cornea Module; Heidelberg Engineering, Heidelberg, Germany). The images were evaluated for the presence of fungal filaments by 2 experienced observers and 2 inexperienced observers. All observers were masked to the clinical and microbiologic data.
RESULTS: The mean number of images obtained per eye was 917 ± 353. The average sensitivity of LS-IVCM for detecting fungal filaments was 71.4% ± 0% for the experienced observers and 42.9% ± 6.7% for the inexperienced observers. The average specificity was 89.6% ± 3.0% and 87.5% ± 17.7% for these 2 groups of observers, respectively. Although there was a good agreement between the 2 experienced observers (κ = 0.77), the inexperienced observers showed only a moderate interobserver agreement (κ = 0.51). The LS-IVCM sensitivity was higher in patients with fungal infections who had positive culture or longer duration of the disease.
CONCLUSIONS: Although LS-IVCM has a high specificity for diagnosing filamentous fungal keratitis, its sensitivity is moderate and highly dependent on the level of the observer's experience and training with this imaging modality.
Copyright © 2017 Elsevier Inc. All rights reserved.

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Year:  2017        PMID: 28445703     DOI: 10.1016/j.ajo.2017.04.011

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


  13 in total

Review 1.  The persistent dilemma of microbial keratitis: Global burden, diagnosis, and antimicrobial resistance.

Authors:  Lawson Ung; Paulo J M Bispo; Swapna S Shanbhag; Michael S Gilmore; James Chodosh
Journal:  Surv Ophthalmol       Date:  2018-12-24       Impact factor: 6.048

2.  [The German keratomycosis registry : Initial results of a multicenter survey].

Authors:  M Roth; L Daas; A Renner-Wilde; N Cvetkova-Fischer; M Saeger; M Herwig-Carl; M Matthaei; A Fekete; V Kakkassery; G Walther; M von Lilienfeld-Toal; C Mertens; J Lenk; J Mehlan; C Fischer; M Fuest; S Kroll; W Bayoudh; A Viestenz; A Frings; C R MacKenzie; E M Messmer; B Seitz; O Kurzai; G Geerling
Journal:  Ophthalmologe       Date:  2019-10       Impact factor: 1.059

3.  Handheld In Vivo Reflectance Confocal Microscopy for the Diagnosis of Eyelid Margin and Conjunctival Tumors.

Authors:  Elisa Cinotti; Aurélie Singer; Bruno Labeille; Damien Grivet; Pietro Rubegni; Catherine Douchet; Frédéric Cambazard; Gilles Thuret; Philippe Gain; Jean Luc Perrot
Journal:  JAMA Ophthalmol       Date:  2017-08-01       Impact factor: 7.389

Review 4.  Fungal keratitis: Mechanisms of infection and management strategies.

Authors:  Christopher Donovan; Eduardo Arenas; Ramesh S Ayyala; Curtis E Margo; Edgar M Espana
Journal:  Surv Ophthalmol       Date:  2021-08-20       Impact factor: 6.197

5.  Utility of investigation for suspected microbial keratitis: a diagnostic accuracy study.

Authors:  Stephen Tuft; Catey Bunce; Surjo De; John Thomas
Journal:  Eye (Lond)       Date:  2022-01-31       Impact factor: 4.456

6.  Deep learning-based automated diagnosis of fungal keratitis with in vivo confocal microscopy images.

Authors:  Jian Lv; Kai Zhang; Qing Chen; Qi Chen; Wei Huang; Ling Cui; Min Li; Jianyin Li; Lifei Chen; Chaolan Shen; Zhao Yang; Yixuan Bei; Lanjian Li; Xiaohang Wu; Siming Zeng; Fan Xu; Haotian Lin
Journal:  Ann Transl Med       Date:  2020-06

7.  Tintelnotia destructans as an emerging opportunistic pathogen: First case of T. destructans superinfection in herpetic keratitis.

Authors:  Dimitri Roels; Liselotte Coorevits; Katrien Lagrou
Journal:  Am J Ophthalmol Case Rep       Date:  2020-06-25

8.  A novel, tomographic imaging probe for rapid diagnosis of fungal keratitis.

Authors:  Min Hee Lee; Gregory Wiedman; Steven Park; Arkady Mustaev; Yanan Zhao; David S Perlin
Journal:  Med Mycol       Date:  2018-10-01       Impact factor: 4.076

9.  Predicting factors and prediction model for discriminating between fungal infection and bacterial infection in severe microbial keratitis.

Authors:  Passara Jongkhajornpong; Jirat Nimworaphan; Kaevalin Lekhanont; Varintorn Chuckpaiwong; Sasivimol Rattanasiri
Journal:  PLoS One       Date:  2019-03-20       Impact factor: 3.240

Review 10.  A Review of Imaging Biomarkers of the Ocular Surface.

Authors:  William W Binotti; Betul Bayraktutar; M Cuneyt Ozmen; Stephanie M Cox; Pedram Hamrah
Journal:  Eye Contact Lens       Date:  2020-03       Impact factor: 3.152

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