Publications by authors named "Carlotta Pallone"

Purpose: To analyze the relationship between a focal increase of choroidal thickness (ChT) and exudative activity of macular neovascularization (MNV) secondary to pathologic myopia.

Methods: Retrospective analysis including eyes with pathologic myopia presenting with a focally increased ChT underneath active MNV. All patients included were treated, and ChT was measured before and after each intravitreal injection by two experienced ophthalmologists.

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(1) Background: Recessive Stargardt disease (STGD1) and multifocal pattern dystrophy simulating Stargardt disease ("pseudo-Stargardt pattern dystrophy", PSPD) share phenotypic similitudes, leading to a difficult clinical diagnosis. Our aim was to assess whether a deep learning classifier pretrained on fundus autofluorescence (FAF) images can assist in distinguishing -related STGD1 from the -related PSPD and to compare the performance with that of retinal specialists. (2) Methods: We trained a convolutional neural network (CNN) using 729 FAF images from normal patients or patients with inherited retinal diseases (IRDs).

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Article Synopsis
  • The study aimed to classify retinal atrophy using fundus autofluorescence (FAF) images with a deep learning model, focusing on conditions like advanced age-related macular degeneration (AMD) and inherited retinal diseases (IRDs).
  • A total of 314 FAF images were analyzed, with a multi-layer deep convolutional neural network (CNN) trained to differentiate between atrophy caused by AMD and by IRDs, achieving an accuracy of 92% for the trained model.
  • The results indicate that the deep learning algorithm can effectively differentiate between types of retinal atrophy, showing promise for accurate diagnosis in clinical settings.
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Purpose: To describe a case of bilateral cystoid macular edema in a patient with long-standing tramadol hydrochloride use.

Methods: Observational case report.

Results: A 73-year-old female patient was referred for progressive, bilateral decreased visual acuity.

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. In recent years, deep learning has been increasingly applied to a vast array of ophthalmological diseases. Inherited retinal diseases (IRD) are rare genetic conditions with a distinctive phenotype on fundus autofluorescence imaging (FAF).

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Purpose: To investigate the pre-operative conjunctival flora in patients undergoing cataract surgery with major local and/or systemic risk factors for developing post-operative infection.

Methods: A total of 83 patients underwent bacterial culture and sensitivity testing of conjunctival swabs obtained from both eyes because of local risk factors at the pre-operative visit (i.e.

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