Universität zu Köln

Hayashi, Takahiko, Masumoto, Hiroki, Tabuchi, Hitoshi, Ishitobi, Naofumi, Tanabe, Mao, Gruen, Michael, Bachmann, Bjoern, Cursiefen, Claus and Siebelmann, Sebastian (2021). A deep learning approach for successful big-bubble formation prediction in deep anterior lamellar keratoplasty. Sci Rep, 11 (1). BERLIN: NATURE PORTFOLIO. ISSN 2045-2322

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Abstract

The efficacy of deep learning in predicting successful big-bubble (SBB) formation during deep anterior lamellar keratoplasty (DALK) was evaluated. Medical records of patients undergoing DALK at the University of Cologne, Germany between March 2013 and July 2019 were retrospectively analyzed. Patients were divided into two groups: (1) SBB or (2) failed big-bubble (FBB). Preoperative images of anterior segment optical coherence tomography and corneal biometric values (corneal thickness, corneal curvature, and densitometry) were evaluated. A deep neural network model, Visual Geometry Group-16, was selected to test the validation data, evaluate the model, create a heat map image, and calculate the area under the curve (AUC). This pilot study included 46 patients overall (11 women, 35 men). SBBs were more common in keratoconus eyes (KC eyes) than in corneal opacifications of other etiologies (non KC eyes) (p = 0.006). The AUC was 0.746 (95% confidence interval [CI] 0.603-0.889). The determination success rate was 78.3% (18/23 eyes) (95% CI 56.3-92.5%) for SBB and 69.6% (16/23 eyes) (95% CI 47.1-86.8%) for FBB. This automated system demonstrates the potential of SBB prediction in DALK. Although KC eyes had a higher SBB rate, no other specific findings were found in the corneal biometric data.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Hayashi, Takahiko UNSPECIFIED UNSPECIFIED UNSPECIFIED Masumoto, Hiroki UNSPECIFIED UNSPECIFIED UNSPECIFIED Tabuchi, Hitoshi UNSPECIFIED UNSPECIFIED UNSPECIFIED Ishitobi, Naofumi UNSPECIFIED UNSPECIFIED UNSPECIFIED Tanabe, Mao UNSPECIFIED UNSPECIFIED UNSPECIFIED Gruen, Michael UNSPECIFIED UNSPECIFIED UNSPECIFIED Bachmann, Bjoern UNSPECIFIED UNSPECIFIED UNSPECIFIED Cursiefen, Claus UNSPECIFIED UNSPECIFIED UNSPECIFIED Siebelmann, Sebastian UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-592437
DOI:	10.1038/s41598-021-98157-8
Journal or Publication Title:	Sci Rep
Volume:	11
Number:	1
Date:	2021
Publisher:	NATURE PORTFOLIO
Place of Publication:	BERLIN
ISSN:	2045-2322
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language KERATOCONUS; MEMBRANE; OUTCOMES; DALK Multiple languages Multidisciplinary Sciences Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/59243