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 ( < 0.001), while the TI of the deep capillary plexus (DCP) was decreased in FSHD patients in comparison to controls ( = 0.05). VD scores for both the SCP and the DCP results increased in FSHD patients ( = 0.0001 and = 0.0004, respectively). With increasing age, VD and the total number of vascular branches showed a decrease ( = 0.008 and < 0.001, respectively) in the SCP. A moderate correlation between VD and EcoRI fragment length was identified as well (r = 0.35, = 0.048). For the DCP, a decreased FAZ area was found in FSHD patients in comparison to controls (t (53) = -6.89, = 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.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10001401PMC
http://dx.doi.org/10.3390/diagnostics13050982DOI Listing

Publication Analysis

Top Keywords

fshd patients
16
retinal vasculopathy
12
artificial intelligence
8
muscular dystrophy
8
faz area
8
capillary plexus
8
dcp decreased
8
patients comparison
8
comparison controls
8
fshd
6

Similar Publications

Facioscapulohumeral dystrophy type 1 (FSHD1) displays prominent intra- and interfamilial variability, which complicates the phenotype-genotype correlation. In this retrospective study, we investigated FSHD1 patients classified as category D according to the Comprehensive Clinical Evaluation Form (CCEF), a category defined by FSHD patients showing uncommon clinical features, to identify genetic causes explaining these uncommon phenotypes. Demographics, clinical data and clinical scales of FSHD1 patients were retrospectively evaluated.

View Article and Find Full Text PDF

The molecular diagnosis of type 1 facioscapulohumeral muscular dystrophy (FSHD1) relies on the detection of a shortened D4Z4 array at the 4q35 locus. Until recently, the diagnosis of FSHD2 relied solely on the absence of a shortened D4Z4 allele in clinically affected patients. It is now established that most FSHD2 cases carry a heterozygous variant in the SMCHD1 gene.

View Article and Find Full Text PDF

Age at onset mediates genetic impact on disease severity in facioscapulohumeral muscular dystrophy.

Brain

December 2024

Department of Neurology and Institute of Neurology of First Affiliated Hospital, Institute of Neuroscience, and Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, Fuzhou 350005, China.

Facioscapulohumeral muscular dystrophy type 1 (FSHD1) patients exhibit marked variability in both age at onset (AAO) and disease severity. Early onset FSHD1 patients are at an increased risk of severe weakness, and early onset has been tentatively linked to the length of D4Z4 repeat units (RUs) and methylation levels. The present study explored potential relationships among genetic characteristics, AAO and disease severity in FSHD1.

View Article and Find Full Text PDF

Longitudinal Insights Into Childhood Onset Facioscapulohumeral Dystrophy: A 5-Year Natural History Study.

Neurology

January 2025

From the Department of Neurology (J.N.D., H.T.M.B., N.V.A., B.G.M.V.E., N.C.V.); Department of Pediatric Neurology (J.N.D., H.T.M.B., A.K., C.E.E.), Donders Institute for Brain, Cognition and Behaviour, Amalia Children's Hospital, Radboud University Medical Centre, Nijmegen, The Netherlands; Department of Neurology (R.J.M.G.), Jönköping, and Department of Biomedical and Clinical Sciences, Linköping University, Sweden; Department of Rehabilitation (M.M.P., S.L.S.H.), Donders Institute for Brain, Cognition and Behaviour, Amalia Children's Hospital; and Department of Neurology (N.V.A.), Clinical Neuromuscular Imaging Group, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands.

Article Synopsis
  • FSHD is a genetic muscle disorder that can start in childhood, affecting about 20% of patients early on. Understanding its progression and outcomes is important for care and research.
  • A study followed 20 childhood-onset FSHD patients over 5 years, assessing muscle function and disease severity with various tests. Most participants did not notice changes in their condition, despite measurable progression.
  • Results showed variable disease progression, with improvements in quality of life and decreased fatigue. The study emphasizes the need for more sensitive outcome measures and larger international studies in future pediatric research.
View Article and Find Full Text PDF

Objective: Reliable, circulating biomarkers for Duchenne, Becker and facioscapulohumeral muscular dystrophies (DBMD and FSHD) remain unvalidated. Here, we investigated the plasma extracellular vesicle (EV) proteome to identify disease-specific biomarkers that could accelerate therapy approvals.

Methods: We extracted EVs from the plasma of DBMD and FSHD patients and healthy controls using size-exclusion chromatography, conducted mass spectrometry on the extracted EV proteins, and performed comparative analysis to identify disease-specific biomarkers.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!