Freya Peeters

Dr. Freya Peeters

Ophthalmology, Universitair Ziekenhuis Leuven, Leuven, Belgium
orcid

Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
10 February 2023 in Journal of Clinical Medicine
Verified
Journal Article
Open access
PDF file
FPFreya Peeters
Freya Peeters
Stef RommesStef Rommes
Stef Rommes
BEBart Elen
Bart Elen
NGNele Gerrits
Nele Gerrits
ISIngeborg Stalmans
Ingeborg Stalmans
Patrick De BoeverPatrick De Boever
Patrick De Boever
Aim: To evaluate the MONA.health artificial intelligence screening software for detecting referable diabetic retinopathy (DR) and diabetic macular edema (DME), including subgroup analysis. Methods: The algorithm’s threshold value was fixed at the 90% sensitivity operating point on the receiver operating curve to perform the disease classification. Diagnostic performance was appraised on a private test set and publicly available datasets. Stratification analysis was executed on the private test set considering age, ethnicity, sex, insulin dependency, year of examination, camera type, image quality, and dilatation status. Results: The software displayed an area under the curve (AUC) of 97.28% for DR and 98.08% for DME on the private test set. The specificity and sensitivity for combined DR and DME predictions were 94.24 and 90.91%, respectively. The AUC ranged from 96.91 to 97.99% on the publicly available datasets for DR. AUC values were above 95% in all subgroups, with lower predictive values found for individuals above the age of 65 (82.51% sensitivity) and Caucasians (84.03% sensitivity). Conclusion: We report good overall performance of the MONA.health screening software for DR and DME. The software performance remains stable with no significant deterioration of the deep learning models in any studied strata.

27 September 2019 in Ophthalmology and Therapy
Verified
Journal Article
Open access
PDF file
FPFreya Peeters
Freya Peeters
CCCatherine Cassiman
Catherine Cassiman
KKKarel Van Keer
Karel Van Keer
ELElena Levtchenko
Elena Levtchenko
KVKoenraad Veys
Koenraad Veys
ICIngele Casteels
Ingele Casteels
Introduction Treatment of the anterior segment problems in cystinosis is challenging as oral cysteamine is ineffective in the treatment of corneal problems because of its avascular structure. Although cysteamine eye drops have been formulated to counter this issue, the stability of cysteamine in these off-licensed formulations and treatment compliance are major problems. The aim of this retrospective study was to determine the efficacy of a compounded preparation of aqueous 0.5% cysteamine eye drops in the management of corneal complications of cystinosis. Methods Data of patients attending the multidisciplinary cystinosis clinic at the University Hospitals Leuven, Belgium between January 2015 and December 2018 were analyzed. All cystinosis patients were treated with the compounded preparation of aqueous 0.5% cysteamine eye drops and oral cysteamine. Results A total of 12 patients were treated with the compounded preparation of aqueous 0.5% cysteamine eye drops, of whom 75% were aged > 18 years (n = 9). The mean instillation frequency of the cysteamine eye drops was 3.3 drops/eye per day, and the mean number of hospital visits was two per year. All patients showed photophobia, > 30% corneal infiltration, blepharospasm, eye pain and conjunctival hyperemia during the study period. None of these symptoms improved with treatment with aqueous compounded 0.5% cysteamine eye drops. The corneal cystine crystal score was ≥ 2 in all patients at the last visit. Conclusion Treatment with the compounded preparation of aqueous 0.5% cysteamine eye drops, combined with oral cysteamine, was not effective in reducing corneal cystine crystal deposition and other ocular symptoms in these patients with cystinosis. Funding Recordati Rare Diseases.