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Factibilidad y reproducibilidad de la tomografía de coherencia óptica de mano y montada en mesa en niños con
Sohaib R Rufai1,2,3, Dermot Roche1, Riddhi Shenoy3
1Clinical and Academic Department of Ophthalmology, Great Ormond Street Hospital for Children NHS Foundation Trust and UCL Great Ormond Street Institute of Child Health, London, UK.
Background:
Optical coherence tomography (OCT) can be a valuable tool for non-invasively monitoring the optic nerve status in children with craniosynostosis. However, it is currently unknown whether optic nerve parameters derived from handheld OCT are comparable to those derived from table-mounted OCT, which is more widely used. This study aims to assess the feasibility and reproducibility of handheld and table-mounted OCT in craniosynostosis.
Methods:
This was a cross-sectional study conducted at Great Ormond Street Hospital (GOSH), London. Twenty children aged 4-18 years with a clinical/genetic diagnosis of craniosynostosis were included. Bilateral optic nerve head OCT imaging was performed using the Spectralis (Heidelberg Engineering), followed by the handheld Envisu C2300 (Leica Microsystems). Primary outcome measures were quantitative cup, disc, rim and peripapillary parameters. Intraclass correlation coefficients (ICC) and coefficient of variation (CoV) were calculated for each quantitative OCT parameter.
Results:
20 children (100%) were successfully recruited. Median age at the time of OCT examination was 6 years (range: 4-16; IQR: 5-8). Ten participants (50%) were female. Seven participants (35%) had syndromic craniosynostosis and 13 participants (65%) had non-syndromic craniosynostosis. Bilateral imaging success was 100% for both machines. ICCs were good-to-excellent for all parameters, ranging from 0.81 to 1.00. The coefficient of variation was low for all parameters.
Conclusions:
OCT imaging of the optic nerve is feasible in school-aged children with craniosynostosis and comparable between the Spectralis and handheld Envisu OCT. This could allow comparison and pooling of data between the two machines, greatly enhancing patient care and future research.
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