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The use of in vivo confocal microscopy in fungal keratitis - Progress and challenges

Bakken, Ingvild M. (author)
Sorlandet Hosp Arendal, Norway
Jackson, Catherine J. (author)
Ifocus Eye Clin, Norway; Univ Oslo, Norway
Utheim, Tor P. (author)
Sorlandet Hosp Arendal, Norway; Oslo Univ Hosp, Norway; Univ Agder, Norway
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Villani, Edoardo (author)
Univ Milan, Italy; San Giuseppe Hosp, Italy
Hamrah, Pedram (author)
Tufts Univ, MA 02111 USA
Kheirkhah, Ahmad (author)
UT Hlth San Antonio, TX USA
Nielsen, Esben (author)
Aarhus Univ Hosp, Denmark
Hau, Scott (author)
Moorfields Eye Hosp NHS Fdn Trust, England; UCL Inst Ophthalmol, England
Lagali, Neil (author)
Linköpings universitet,Avdelningen för sinnesorgan och kommunikation,Medicinska fakulteten,Region Östergötland, Ögonkliniken US,Sorlandet Hosp Arendal, Norway
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 (creator_code:org_t)
Elsevier, 2022
2022
English.
In: Ocular Surface. - : Elsevier. - 1542-0124. ; 24, s. 103-118
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • Fungal keratitis (FK) is a serious and sight-threatening corneal infection with global reach. The need for prompt diagnosis is paramount, as a delay in initiation of treatment could lead to irreversible vision loss. Current "gold standard" diagnostic methods, namely corneal smear and culture, have limitations due to diagnostic insensitivity and their time-consuming nature. PCR is a newer, complementary method used in the diagnosis of fungal keratitis, whose results are also sample-dependent. In vivo confocal microscopy (IVCM) is a promising complementary diagnostic method of increasing importance as it allows non-invasive real-time direct visualization of potential fungal pathogens and manifesting infection directly in the patients cornea. In numerous articles and case reports, FK diagnosis by IVCM has been evaluated, and different features, approaches, sensitivity/specificity, and limitations have been noted. Here, we provide an up-to-date, comprehensive review of the current literature and present the authors combined recommendations for fungal identification in IVCM images, while also looking to the future of FK assessment by IVCM using artificial intelligence methods.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Radiologi och bildbehandling (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Radiology, Nuclear Medicine and Medical Imaging (hsv//eng)

Keyword

Fungal keratitis; Cornea; Diagnostics; In vivo confocal microscopy; Artificial intelligence

Publication and Content Type

ref (subject category)
art (subject category)

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