Autofluorescence Imaging in the Long-Term Follow-Up of Scleral Buckling Surgery for Retinal Detachment

Salvanos, Panagiotis; Björnsson, Helgi D.; Vitelli, Valeria; Bragadóttir, Ragnheiður; Moe, Morten C.; Utheim, Tor Paaske

doi:10.1155/2022/2119439

Cited by 3 publications

(2 citation statements)

References 29 publications

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“…Hyperautofluorescence and patchy hypoautofluorescence at retinal detachment demarcation lines are often seen following scleral buckle surgery. 11 , 12 However, the hyperautofluorescent changes described in our patient are different to this.…”

Section: Discussioncontrasting

confidence: 53%

Acute zonal occult outer retinopathy-like presentation secondary to scleral buckle

Fung

Lo‐Cao

Cornish

2022

American Journal of Ophthalmology Case Reports

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Section: Discussioncontrasting

confidence: 53%

Acute zonal occult outer retinopathy-like presentation secondary to scleral buckle

Fung

Lo‐Cao

Cornish

2022

American Journal of Ophthalmology Case Reports

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“…The firm attachment of the choroid to the vortex veins is known to limit the extension of a choroidal effusion giving the classical four-lobed appearance. On autofluorescence imaging, they are typically hypoautofluorescent 9…”

Section: Differential Diagnosismentioning

confidence: 99%

Giant pars plana cysts and a diagnostic approach to peripheral retinal elevation with the assistance of multimodal imaging

Kenworthy

Bhosale

et al. 2023

BMJ Case Rep

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A man in his 50s was referred for a suspected superotemporal retinal tear in the right eye. Fundus examination showed multiple areas of elevated retina temporally in both eyes which were immobile and did not reappose with scleral depression. No retinal breaks were present. Ultra-widefield colour fundus photography with Optos captured these areas of elevated retina in both eyes temporally, which on fundus autofluorescence where hypoautofluorescent with no leading hyperautofluorescent edge. On ultrasound biomicroscopy, an immobile lesion with a single hyperechoic convexity towards the vitreous body was noted. The patient was diagnosed with bilateral giant pars plana cysts which were managed conservatively.The multimodal imaging in our case is its distinguishing feature which can be used to help ensure accurate diagnosis when one is presented with an area of peripheral retina elevation.

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Deep Learning for prediction of late recurrence of retinal detachment using preoperative and postoperative ultra‐wide field imaging

Catania,

Chapron,

Crincoli

et al. 2024

Acta Ophthalmologica

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PurposeTo elaborate a deep learning (DL) model for automatic prediction of late recurrence (LR) of rhegmatogenous retinal detachment (RRD) using pseudocolor and fundus autofluorescence (AF) ultra‐wide field (UWF) images obtained preoperatively and postoperatively.Materials and MethodsWe retrospectively included patients >18 years who underwent either scleral buckling (SB) or pars plana vitrectomy (PPV) for primary or recurrent RRD with a post‐operative follow‐up >2 years. Records of RRD recurrence between 6 weeks and 2 years after surgery served as a ground truth for the training of the deep learning (DL) models. Four separate DL models were trained to predict LR within the 2 postoperative years (binary outputs) using, respectively, UWF preoperative and postoperative pseudocolor images and UWF preoperative and postoperative AF images.ResultsA total of 412 eyes were included in the study (332 eyes treated with PPV and 80 eyes with SB). The mean follow‐up was 4.0 ± 2.1 years. The DL models based on preoperative and postoperative pseudocolor UWF imaging predicted recurrence with 85.6% (sensitivity 86.7%, specificity 85.4%) and 90.2% accuracy (sensitivity 87.0%, specificity 90.8%) in PPV‐treated eyes, and 87.0% (sensitivity 86.7%, specificity 87.0%) and 91.1% (sensitivity 88.2%, specificity 91.9%) in SB‐treated eyes, respectively. The DL models using preoperative and postoperative AF‐UWF imaging predicted recurrence with 87.6% (sensitivity 84.0% and specificity 88.3%) and 91.0% (sensitivity 88.9%, specificity 91.5%) accuracy in PPV eyes, and 86.5% (sensitivity 87.5%; specificity 86.2%) and 90.6% (sensitivity 90.0%, specificity 90.7%) in SB eyes, respectively. Among the risk factors detected with visualisation methods, potential novel ones were extensive laser retinopexy and asymmetric staphyloma.ConclusionsDL can accurately predict the LR of RRD based on UWF images (especially postoperative ones), which can help refine follow‐up strategies. Saliency maps might provide further insight into the dynamics of RRD recurrence.

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Autofluorescence Imaging in the Long-Term Follow-Up of Scleral Buckling Surgery for Retinal Detachment

Cited by 3 publications

References 29 publications

Acute zonal occult outer retinopathy-like presentation secondary to scleral buckle

Acute zonal occult outer retinopathy-like presentation secondary to scleral buckle

Giant pars plana cysts and a diagnostic approach to peripheral retinal elevation with the assistance of multimodal imaging

Deep Learning for prediction of late recurrence of retinal detachment using preoperative and postoperative ultra‐wide field imaging

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