ABSTRACT
Age-related macular degeneration (AMD) is a leading cause of vision loss in the elderly, with dry AMD (d-AMD) leading to geographic atrophy (GA) and significant visual impairment. Multimodal imaging plays a crucial role in d-AMD diagnosis and management, allowing for detailed classification of patient phenotypes and aiding in treatment planning and prognosis determination. Treatment approaches for d-AMD have recently witnessed profound change with the development of specific drugs targeting the complement cascade, with the first anticomplement agents recently approved for GA treatment. Additionally, emerging strategies such as gene therapy and laser treatments may offer potential benefits, though further research is needed to fully establish their efficacy. However, the lack of effective therapies capable of restoring damaged retinal cells remains a major challenge. In the future, genetic treatments aimed at preventing the progression of d-AMD may emerge as a powerful approach. Currently, however, their development is still in the early stages.
ABSTRACT
INTRODUCTION: Macular neovascularization (MNV) secondary to age-related macular degeneration (AMD) is well managed by anti-vascular endothelial growth factor (anti-VEGF) intravitreal injections. However, outer retinal atrophy represents an unavoidable occurrence detected during follow-up. Several imaging metrics have been proposed as clinically relevant in stratifying the risk of onset of outer retinal atrophy. The main goal of this study is to evaluate the impact of noninvasive imaging metrics on the assessment of outer retinal atrophy onset in a large cohort of eyes with neovascular AMD managed in a real-world setting. METHODS: This study was a prospective, observational, case series. We included patients affected by newly diagnosed neovascular AMD, requiring anti-VEGF intravitreal injections. We collected clinical and imaging data, with a planned follow-up of 24 months. The multimodal imaging protocol included optical coherence tomography, optical coherence tomography angiography, and fundus autofluorescence. We collected noninvasive imaging metrics and we assessed the relationship with the morphological and functional outcome evaluated at 12-month and 24-month time points. RESULTS: We included 370 eyes of 370 patients with exudative AMD (210 male; mean age 79 ± 8 years). MNV were classified as follows: type 1, 198 (54%); type 2, 89 (24%); polypoidal choroidal vasculopathy, 29 (7%); and type 3, 54 (15%). A total of 120 out of 370 eyes (33%) showed complete outer retinal atrophy at the end of the 2-year follow-up. The presence of intraretinal fluid, thinning of the Sattler choroidal layer, late anti-VEGF switch, the overall number of anti-VEGF injections, and the perfusion characteristics of the MNV were found to be the most relevant factors associated with the onset of outer retinal atrophy. The other collected metrics were found to be less clinically relevant, also showing no cumulative effect in the multivariate analysis (p > 0.05). CONCLUSIONS: We identified imaging metrics significantly associated with the 2-year risk onset of outer retinal atrophy. These metrics might pave the way for the development of future customized anti-VEGF treatment strategies.
ABSTRACT
OBJECTIVE: To evaluate the sensitivity and specificity of structural optical coherence tomography (OCT) in comparison to fluorescein angiography (FA) and OCT angiography (OCTA) in discerning between macular haemorrhages (MH) due to myopic choroidal neovascularization (m-CNV) and idiopathic macular haemorrhage (IMH) in myopic patients and to suggest a new OCT biomarker to discern these two entities. METHODS AND ANALYSIS: In this longitudinal retrospective study, patients affected by MH and pathological myopia were included. All patients underwent OCTA and FA to discern bleeding from m-CNV or IMH. Furthermore, all patients underwent a structural OCT and 2 expert graders evaluated the presence of the myopic 2 binary reflective sign as a biomarker to discern between IMH and bleeding from m-CNV. RESULTS: Forty-seven eyes of 47 patients were enrolled. By means of angiographic examinations, 34 out of 47 eyes with MH (57%) were diagnosed as m-CNV, whereas 13 eyes (43%) as IMH. Using structural OCT, the graders identified the presence of the myopic 2 binary reflective sign in 13 out of 13 eyes with IMH. In 33 out of 34 cases with m-CNV, the 2 graders established the absence of the sign. This accounted for 100% of sensibility and 97% of specificity of structural OCT in discerning between MH from m-CNV and IMH. CONCLUSION: Structural OCT can discern with good reliability between IMH and bleeding from m-CNV based on the presence/ absence of the myopic 2 binary reflective sign. This could be of paramount relevance in the clinical setting for the diagnosis and treatment of HM patients.
Subject(s)
Choroidal Neovascularization , Myopia, Degenerative , Humans , Tomography, Optical Coherence/methods , Bruch Membrane/pathology , Retrospective Studies , Reproducibility of Results , Choroidal Neovascularization/diagnosis , Choroidal Neovascularization/drug therapy , Myopia, Degenerative/complications , Myopia, Degenerative/diagnosis , Myopia, Degenerative/drug therapy , Biomarkers , Fluorescein Angiography/methodsABSTRACT
PURPOSE: To identify salient imaging features to support human-based differential diagnosis between subretinal hemorrhage (SH) due to choroidal neovascularization (CNV) onset and SH without CNV (simple bleeding [SB]) in pathologic myopia eyes using a machine learning (ML)-based step-wise approach. METHODS: Four different methods for feature extraction were applied: GradCAM visualization, reverse engineering, image processing, and human graders' measurements. GradCAM was performed on a deep learning model derived from Inception-ResNet-v2 trained with OCT B-scan images. Reverse engineering consisted of merging U-Net architecture with a deconvolutional network. Image processing consisted of the application of a local adaptive threshold. Available OCT B-scan images were divided in two groups: the first group was classified by graders before knowing the results of feature extraction and the second (different images) was classified after familiarization with the results of feature extraction. RESULTS: Forty-seven and 37 eyes were included in the CNV group and the simple bleeding group, respectively. Choroidal neovascularization eyes showed higher baseline central macular thickness ( P = 0.036). Image processing evidenced in CNV eyes an inhomogeneity of the subretinal material and an interruption of the Bruch membrane at the margins of the SH area. Graders' classification performance improved from an accuracy of 76.9% without guidance to 83.3% with the guidance of the three methods ( P = 0.02). Deep learning accuracy in the task was 86.0%. CONCLUSION: Artificial intelligence helps identifying imaging biomarkers suggestive of CNV in the context of SH in myopia, improving human ability to perform differential diagnosis on unprocessed baseline OCT B-scan images. Deep learning can accurately distinguish between the two causes of SH.
Subject(s)
Choroidal Neovascularization , Myopia , Humans , Artificial Intelligence , Choroidal Neovascularization/etiology , Myopia/complications , Retinal Hemorrhage/etiology , Retinal Hemorrhage/complications , Bruch Membrane/pathology , Tomography, Optical Coherence/methods , Fluorescein AngiographyABSTRACT
BACKGROUND: The efficacy of pneumatic dilation (PD) in the management of achalasia has yielded variable results. The availability of high-resolution manometry led to the identification of 3 clinically relevant subtypes of achalasia, revealing the poor efficacy of PD in subtype III. Furthermore, PD showed a lower response rate in patients with subtype III compared to laparoscopic Heller myotomy and peroral endoscopic myotomy. This study aimed to investigate the short- and long-term efficacy, safety profile and side effects of PD with a "graded approach" in subtypes I and II achalasia. METHODS: We enrolled 141 patients (male 67, mean age=66±16.26 years) with achalasia (n=27 subtype I, n=74 subtype II and n=40 subtype III) between January 2010 and July 2020 at St. Orsola University Hospital, Bologna, Italy. We analyzed the data of patients with subtypes I and II, who underwent a graded-protocol PD. Short- and long-term clinical efficacy, complications and gastroesophageal reflux disease (GERD) were recorded. RESULTS: One month after graded protocol PD, 100% subtype I and 96.2% subtype II achalasia patients showed clinical remission. The PD procedure was completed without major complications in all patients. In the long-term follow up (median time: 56 months), 95.5% subtype I and 90% subtype II achalasia patients had an Eckardt score ≤3. GERD occurred in 27.7% of all patients. CONCLUSION: A graded-protocol PD applied in the appropriate achalasia subtypes was shown to be a safe and highly effective approach, in both the short- and long-term.