Artificial Intelligence for Evaluation of Retinal Vasculopathy in Facioscapulohumeral Dystrophy Using OCT Angiography: A Case Series.

Autor: Maceroni M; Institute of Ophthalmology, Università Cattolica del Sacro Cuore, 00168 Rome, Italy.; UOC di Oculistica, Fondazione Policlinico Universitario A. Gemelli-IRCCS, 00168 Rome, Italy., Monforte M; UOC di Neurologia, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy., Cariola R; Department of Ophthalmology, University of Turin, 10126 Turin, Italy., Falsini B; Institute of Ophthalmology, Università Cattolica del Sacro Cuore, 00168 Rome, Italy., Rizzo S; Institute of Ophthalmology, Università Cattolica del Sacro Cuore, 00168 Rome, Italy.; UOC di Oculistica, Fondazione Policlinico Universitario A. Gemelli-IRCCS, 00168 Rome, Italy., Savastano MC; Institute of Ophthalmology, Università Cattolica del Sacro Cuore, 00168 Rome, Italy.; UOC di Oculistica, Fondazione Policlinico Universitario A. Gemelli-IRCCS, 00168 Rome, Italy., Martelli F; Department of Cardiovascular, Endocrine-Metabolic Diseases and Ageing, Istituto Superiore di Sanità, 00161 Rome, Italy., Ricci E; Institute of Neurology, Università Cattolica del Sacro Cuore, 00168 Rome, Italy., Bortolani S; UOC di Neurologia, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy., Tasca G; UOC di Neurologia, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy.; John Walton Muscular Dystrophy Research Centre, Newcastle Hospitals NHS Foundation Trusts, Newcastle University, Newcastle Upon Tyne NE1 3BZ, UK., Minnella AM; Institute of Ophthalmology, Università Cattolica del Sacro Cuore, 00168 Rome, Italy.; UOC di Oculistica, Fondazione Policlinico Universitario A. Gemelli-IRCCS, 00168 Rome, Italy.
Jazyk: angličtina
Zdroj: Diagnostics (Basel, Switzerland) [Diagnostics (Basel)] 2023 Mar 04; Vol. 13 (5). Date of Electronic Publication: 2023 Mar 04.
DOI: 10.3390/diagnostics13050982
Abstrakt: Facioscapulohumeral muscular dystrophy (FSHD) is a slowly progressive muscular dystrophy with a wide range of manifestations including retinal vasculopathy. This study aimed to analyse retinal vascular involvement in FSHD patients using fundus photographs and optical coherence tomography-angiography (OCT-A) scans, evaluated through artificial intelligence (AI). Thirty-three patients with a diagnosis of FSHD (mean age 50.4 ± 17.4 years) were retrospectively evaluated and neurological and ophthalmological data were collected. Increased tortuosity of the retinal arteries was qualitatively observed in 77% of the included eyes. The tortuosity index (TI), vessel density (VD), and foveal avascular zone (FAZ) area were calculated by processing OCT-A images through AI. The TI of the superficial capillary plexus (SCP) was increased ( p < 0.001), while the TI of the deep capillary plexus (DCP) was decreased in FSHD patients in comparison to controls ( p = 0.05). VD scores for both the SCP and the DCP results increased in FSHD patients ( p = 0.0001 and p = 0.0004, respectively). With increasing age, VD and the total number of vascular branches showed a decrease ( p = 0.008 and p < 0.001, respectively) in the SCP. A moderate correlation between VD and EcoRI fragment length was identified as well (r = 0.35, p = 0.048). For the DCP, a decreased FAZ area was found in FSHD patients in comparison to controls (t (53) = -6.89, p = 0.01). A better understanding of retinal vasculopathy through OCT-A can support some hypotheses on the disease pathogenesis and provide quantitative parameters potentially useful as disease biomarkers. In addition, our study validated the application of a complex toolchain of AI using both ImageJ and Matlab to OCT-A angiograms.
Databáze: MEDLINE
Nepřihlášeným uživatelům se plný text nezobrazuje