Changes in Retinal Vessel Flow after Small Incision Lenticule Extraction.

Objective: In order to analyze changes in retinal vessel flow after small incision lenticule extraction (SMILE). Methods: A total of 32 patients (62 eyes) who underwent SMILE were enrolled in this prospective study. Optical parameters, including vessel density (VD), and perfusion density (PD) of foveal, parafoveal, and perifoveal regions, respectively, were measured before surgery and at 1 day, 1 week, 1 month, and 3 months postoperation. Preoperative parameters and surgical parameters were recorded. Results: Significant decreases in VD and PD on postoperative day 1 were detected in all quadrants, both in 3 mm and in 6 mm regions (P < 0.001). One month after surgery, VD returned to preoperative levels. None of the preoperative and surgical parameters were significantly correlated with the VD and PD fluctuations (all P > 0.05). Conclusion. VD may decrease significantly with regional disparity 1 day after SMILE while recovering at 1 month. Elevation of intraocular pressure due to suction may account for such changes.

Response to 1-Year Fixed-Regimen Bevacizumab Therapy in Treatment-Naïve DME Patients: Assessment by OCT Angiography.

PURPOSE: To evaluate the effectiveness of intravitreal bevacizumab treatment in patients with diabetic macular edema (DME) by assessing retinal changes using optical coherence tomography angiography (OCT-A). METHODS: This prospective study was performed in patients with treatment-naïve DME. The eyes of patients were imaged using a swept-source OCT system with a scan area of 6 × 6 mm. The DME patients with a central macular thickness (CMT) of ≥300 µm received nine bevacizumab injections within 12 months. The demographic, systemic, and ocular parameters, including the best-corrected visual acuity (BCVA), CMT, microaneurysm (MA) count, and foveal avascular zone (FAZ) area in both superficial capillary plexus (SCP) and deep capillary plexus (DCP), as well as vessel density in SCP, were assessed in the patients. In addition, the response (good or poor) of the DME eyes to bevacizumab treatment and the final visual acuity (BCVA of 75 letters) were analyzed. RESULTS: Seventy-seven eyes of DME patients were subjected to the final analysis. Bevacizumab treatment reduced CMT from 425.06 µm (±77.15) to 350.25 µm (±82.04) and improved BCVA by about 8.61 letters (from 64.73 to 73.34) in the patients. The mean number of MAs in SCP decreased from 3.51 ± 2.07 to 2.31 ± 1.15 (p < 0.001) and in DCP from 17.12 ± 11.56 to 12.21 ± 6.99 (p < 0.001), whereas the area of FAZ increased in SCP from 328.22 ± 131.38 to 399.70 ± 156.98 (p < 0.001) and in DCP from 571.13 ± 396.01 to 665.89 ± 412.77 (p = 0.001). The final BCVA letter score and CMT were statistically significant in both poor and good responders, as well as in BCVA < 75 and BCVA ≥ 75 groups. CONCLUSION: The fixed-regimen intravitreal bevacizumab therapy was effective in treating DME. Apart from noninvasive visualization of microvascular damage, OCT-A showed limited usefulness in predicting treatment response. Although the study showed that the number of MAs was significantly reduced during treatment, which is an OCT-A predictor of a good response to bevacizumab treatment at a 12-month visit, commonly observed artifacts may reduce the usefulness of OCT-A.

Application of Improved U-Net Convolutional Neural Network for Automatic Quantification of the Foveal Avascular Zone in Diabetic Macular Ischemia.

Objectives: The foveal avascular zone (FAZ) is a biomarker for quantifying diabetic macular ischemia (DMI), to automate the identification and quantification of the FAZ in DMI, using an improved U-Net convolutional neural network (CNN) and to establish a CNN model based on optical coherence tomography angiography (OCTA) images for the same purpose. Methods: The FAZ boundaries on the full-thickness retina of 6 × 6 mm en face OCTA images of DMI and normal eyes were manually marked. Seventy percent of OCTA images were used as the training set, and ten percent of these images were used as the validation set to train the improved U-Net CNN with two attention modules. Finally, twenty percent of the OCTA images were used as the test set to evaluate the accuracy of this model relative to that of the baseline U-Net model. This model was then applied to the public data set sFAZ to compare its effectiveness with existing models at identifying and quantifying the FAZ area. Results: This study included 110 OCTA images. The Dice score of the FAZ area predicted by the proposed method was 0.949, the Jaccard index was 0.912, and the area correlation coefficient was 0.996. The corresponding values for the baseline U-Net were 0.940, 0.898, and 0.995, respectively, and those based on the description data set sFAZ were 0.983, 0.968, and 0.950, respectively, which were better than those previously reported based on this data set. Conclusions: The improved U-Net CNN was more accurate at automatically measuring the FAZ area on the OCTA images than the traditional CNN. The present model may measure the DMI index more accurately, thereby assisting in the diagnosis and prognosis of retinal vascular diseases such as diabetic retinopathy.

Clinical determinants of coronary artery disease burden and vulnerability using optical coherence tomography co-registered with intravascular ultrasound.

OBJECTIVES: We investigated clinical determinants of disease burden and vulnerability using optical coherence tomography (OCT) co-registered with intravascular ultrasound (IVUS) in a large cohort of patients. METHODS: A total of 704 patients [44.5% with acute coronary syndromes (ACS)] underwent coronary intervention. IVUS plaque burden and OCT lipid, macrophage and calcium indices and the presence of thrombus, plaque rupture and thin-cap fibroatheroma (TCFA) were analyzed. RESULTS: Median patient age was 66 years with 81.8% men, 34.4% with diabetes mellitus and 15.5% with preadmission statins. Median lesion length was 25.7 mm, and 33.0% had a TCFA. Adjusted models indicated (1) older patient age was related to more calcium, but fewer macrophages; (2) men were related to more thrombus with plaque rupture while women had more thrombus without plaque rupture; (3) ACS presentation was related to morphological acute thrombotic events (more thrombus with/without rupture) and plaque vulnerability (more TCFA, more lipid and macrophages and larger plaque burden); (4) diabetes mellitus was related to a greater atherosclerotic disease burden (more lipid and calcium and larger plaque burden) and more thrombus without rupture; (5) hypertension was related to more macrophages; (6) current smoking was related to less calcium; and (7) renal insufficiency and preadmission statin therapy were not independently associated with IVUS or OCT plaque morphology. CONCLUSION: Patient characteristics, especially diabetes mellitus and aging, affect underlying atherosclerotic burden, among which a greater lipidic burden along with sex differences influence local thrombotic morphology that affects clinical presentation.

Updates on the utility of anterior segment optical coherence tomography in the assessment of filtration blebs after glaucoma surgery.

The formation of filtration blebs is the main drainage mechanism for reducing intraocular pressure after traditional incisional glaucoma surgery such as trabeculectomy and non-penetrating deep sclerotomy. Early and short-lasting blebs may also occur after canaloplasty. Bleb formation also plays an important role after the implantation of glaucoma drainage devices, including Minimally Invasive Glaucoma Surgery devices. Anterior segment optical coherence tomography (AS-OCT) is a rapid and non-invasive high-resolution imaging technique that has evolved in recent years to become a routine examination. Anterior segment optical coherence tomography (AS-OCT) provides key information in the assessment and follow-up of glaucoma surgery, especially in the assessment of filtration blebs. Thus, bleb morphology can be qualitatively classified into diffuse, cystic, encapsulated and flattened, and AS-OCT imaging can also provide several quantitative parameters of the bleb, such as total bleb height, bleb fluid-filled cavity height, bleb wall thickness, number of microcysts and trabeculectomy opening size. These parameters could have an impact on clinical management during follow-up because they may predict the success or failure of the surgery in the early and late postoperative periods. Additionally, they may also guide the procedures used to increase filtration and reduce intraocular pressure, such as bleb needling and laser suture lysis.

Retinal nerve fibre layer and ganglion cell layer changes in children who recovered from COVID-19: a cohort study.

OBJECTIVE: To investigate the optic nerve and macular parameters of children who recovered from COVID-19 compared with healthy children using optical coherence tomography (OCT). DESIGN: Cohort study. SETTING: Hospital Clinico San Carlos, Madrid. PATIENTS: Children between 6 and 18 years old who recovered from COVID-19 with laboratory-confirmed SARS-CoV-2 infection and historical controls were included. INTERVENTIONS: All patients underwent an ophthalmological examination, including macular and optic nerve OCT. Demographic data, medical history and COVID-19 symptoms were noted. MAIN OUTCOME MEASURES: Peripapillary retinal nerve fibre layer thickness, macular retinal nerve fibre layer thickness, macular ganglion cell layer thickness and retinal thickness. RESULTS: 90 patients were included: 29 children who recovered from COVID-19 and 61 controls. Patients with COVID-19 presented an increase in global peripapillary retinal nerve fibre layer thickness (mean difference 7.7; 95% CI 3.4 to 12.1), temporal superior (mean difference 11.0; 95% CI 3.3 to 18.6), temporal inferior (mean difference 15.6; 95% CI 6.5 to 24.7) and nasal (mean difference 9.8; 95% CI 2.9 to 16.7) sectors. Macular retinal nerve fibre layer analysis showed decreased thickness in the nasal outer (p=0.011) and temporal inner (p=0.036) sectors in patients with COVID-19, while macular ganglion cell layer thickness increased in these sectors (p=0.001 and p=0.015, respectively). No differences in retinal thickness were noted. CONCLUSIONS: Children with recent history of COVID-19 present significant changes in peripapillary and macular OCT analyses.

Fully-automated atrophy segmentation in dry age-related macular degeneration in optical coherence tomography.

Age-related macular degeneration (AMD) is a progressive retinal disease, causing vision loss. A more detailed characterization of its atrophic form became possible thanks to the introduction of Optical Coherence Tomography (OCT). However, manual atrophy quantification in 3D retinal scans is a tedious task and prevents taking full advantage of the accurate retina depiction. In this study we developed a fully automated algorithm segmenting Retinal Pigment Epithelial and Outer Retinal Atrophy (RORA) in dry AMD on macular OCT. 62 SD-OCT scans from eyes with atrophic AMD (57 patients) were collected and split into train and test sets. The training set was used to develop a Convolutional Neural Network (CNN). The performance of the algorithm was established by cross validation and comparison to the test set with ground-truth annotated by two graders. Additionally, the effect of using retinal layer segmentation during training was investigated. The algorithm achieved mean Dice scores of 0.881 and 0.844, sensitivity of 0.850 and 0.915 and precision of 0.928 and 0.799 in comparison with Expert 1 and Expert 2, respectively. Using retinal layer segmentation improved the model performance. The proposed model identified RORA with performance matching human experts. It has a potential to rapidly identify atrophy with high consistency.

Association between smoking history and optical coherence tomography angiography findings in diabetic patients without diabetic retinopathy.

PURPOSE: To investigate any associations between cigarette smoking and retinal microvascular changes in diabetic patients without visible retinopathy. DESIGN: Retrospective, cross-sectional study. PARTICIPANTS: 1099 eyes from 1099 diabetic patients with no clinical evidence of diabetic retinopathy (DR) were included in this study. METHODS: Diabetic patients underwent optical coherence tomography angiography (OCTA) scanning at Zuckerberg San Francisco General Hospital and Trauma Center between April 2018 and September 2019. Patient demographic and clinical information was collected. Standard bivariate statistics and multivariate linear regression were performed. MAIN OUTCOME MEASURES: OCTA parameters included metrics related to the foveal avascular zone (FAZ; area, perimeter, circularity), perfusion density (PD; full, center, inner), and vessel length density (VLD; full, center, inner). RESULTS: The study population included 750 non-smokers and 349 smokers. FAZ perimeter was the only OCTA parameter that was significantly different between the two groups on uncontrolled analysis (P = 0.033). Multivariate regression analyses revealed significant associations between lower VLD full (ß = -0.31, P = 0.048), lower VLD inner (ß = -0.35, P = 0.046) and a history of smoking. No significant associations between cigarette smoking and either FAZ or PD were detected. CONCLUSIONS: Our results suggest that smoking is likely associated with deleterious changes in the retinal microvasculature of patients with a history of diabetes and no visible DR. Based on these findings, diabetic patients with a history of smoking may benefit from higher prioritization in terms of ophthalmic screening.

UTILIZATION OF SPECTRAL DOMAIN OPTICAL COHERENCE TOMOGRAPHY TO IDENTIFY POSTERIOR VITREOUS DETACHMENT IN PATIENTS WITH RETINAL DETACHMENT.

PURPOSE: To compare posterior vitreous detachment (PVD) identification rate between clinical examination versus spectral domain optical coherence tomography in patients with retinal detachment (RD). METHODS: Data from the Primary Retinal Detachment Outcomes Study were used for this retrospective cross-sectional study of 506 patients. Spectral domain optical coherence tomography scans were reviewed to detect the separation of the posterior hyaloid face from the retina and the optic nerve on all 31 raster cuts of a 30 × 30 scan. Statistical analysis was performed to compare spectral domain optical coherence tomography-identified PVD with PVD identified on slit-lamp biomicroscopy. RESULTS: There was a significant difference in the rate of PVD identification by clinical examination versus spectral domain optical coherence tomography in patients with RD. Clinical examination identified 51.58% of patients with PVD, whereas spectral domain optical coherence tomography identified 78.42% of patients with PVD. In patients with macula-on RD, 61.68% were found to have PVD on clinical examination versus 83.90% by imaging. Spectral domain optical coherence tomography identified larger number of PVD in patients with macula-off RD compared with clinical examination, 46.28% versus 75.43%, respectively. There was low agreement between the two methods (kappa score = 0.137). There was a significant difference in surgical procedure type chosen in those with versus without PVD. CONCLUSION: Knowledge about the posterior hyaloid anatomy is important before undergoing RD repair. Spectral domain optical coherence tomography can better identify PVD than clinical examination in patients with RD.

Early coronary healing in ST segment elevation myocardial infarction: sirolimus-eluting stents vs. drug-coated balloons after bare-metal stents. The PEBSI-2 optical coherence tomography randomized study.

OBJECTIVES: Drug-coated balloons (DCBs) have theoretical advantages over drug-eluting stents (DESs) to facilitate stent healing. We studied whether, in patients undergoing primary coronary interventions (pPCIs), a strategy of DCB after bare-metal stent improves early healing as determined by optical coherence tomography (OCT) compared with new-generation DES. METHODS: pPCI patients were randomized (1:1) to treatment with new-generation sirolimus-eluting stents (DES group) or DCB-strategy. Vessel healing was assessed by OCT at 90 days. RESULTS: Fifty-three patients were randomized (26 DES vs. 27 DCB). At 90 days, both strategies showed a low rate of uncovered struts (3.2 vs. 3.2%, P = 0.64) and a very high and similar rate of covered and apposed struts (96.6 vs. 96.1%, respectively; P = 0.58). However, DCB group had a significantly lower rate of major coronary evaginations (68 vs. 37%, P = 0.026), and more frequently developed a thin homogeneous neointimal layer (20 vs. 70.4%, P = 0.001) suggesting distinct superior healing at 3 months compared to DES. CONCLUSIONS: In pPCI both, sirolimus-DES and DCB-strategy, provide excellent strut coverage at 3 months. However, DCB ensures more advanced and optimal stent healing compared to sirolimus-DES. Further research is needed to determine whether, in patients undergoing pPCI, DCB offers superior long-term clinical and angiographic outcomes than new-generation DES (NCT03610347).

Comparison of corneal thickness measurements using ultrasound pachymetry, noncontact tonopachy, Pentacam HR, and Fourier-domain OCT.

ABSTRACT: We retrospectively compared the central corneal thickness (CCT) obtained by ultrasound pachymetry (USP; SP-3000, Tomey Corp., Nagoya, Japan), non-contact tonopachy (TP) (NT-530P, Nidek Co., Ltd., Gamagori, Japan), Pentacam HR (OCULUS Inc., Wetzlar, Germany), and RTVue optical coherence tomography (OCT) (Optovue Inc., Fremont, CA, USA) in 78 eyes of 78 healthy subjects with myopia. Agreement between the measurement methods was evaluated using 95% confidence intervals for the limits of agreement (LoA). The mean CCT values were 546.9 ± 34.7, 548.1 ±â€Š33.5, 559.2 ±â€Š34.0, and 547.2 ±â€Š34.8 µm for USP, non-contact TP, Pentacam, and RTVue, respectively. The thickest and the thinnest mean CCT values corresponded to those obtained by Pentacam HR and USP, respectively. Plots of the differences against the means showed the best agreement between USP and RTVue (LoA, 10.14-10.70 µm), while the largest discrepancy was observed between RTVue and Pentacam systems (LoA, -25.47-1.44 µm). Our data showed that CCT measurements using these 4 instruments were well correlated. However, the results from Pentacam differed significantly from those of the other instruments.

Morphology and phenotype characteristics of atherosclerotic plaque in patients with acute coronary syndrome: contemporary optical coherence tomography findings.

BACKGROUND: Contemporary optical coherence tomography (OCT) findings in patients with acute coronary syndromes (ACS) are still subject of controversy. We sought to use OCT to evaluate plaque morphology and phenotype classification in patients with ACS. METHODS: Using optical coherence tomography, culprit lesions were morphologically classified as plaque rupture, plaque erosion, calcified nodule, thin-cap fibroatheroma, thick-cap fibroatheroma (TCFA) or fibrotic, fibrocalcific or fibrolipidic plaque. Quantitative and qualitative analyses also included cholesterol crystals, neovascularization, spotty calcification and thrombus. RESULTS: Of the 110 lesions imaged from June 2012 to April 2016, 54 (49%) were in patients with unstable angina (UA), 31 (28%) were in non-ST-elevation myocardial infarction (STEMI) patients and 25 (23%) were in STEMI patients. Compared with STEMI patients, patients with UA/non-STEMI were older and had more hypertension, hypercholesterolemia, known coronary artery disease, prior myocardial infarction and higher use of antiplatelet therapy. More patients with STEMI had lipidic arc >90% (36.6 versus 70.8%, P = 0.003), red and mixed thrombus (12.9 versus 28.0% and 7.1 versus 44.0%, respectively, all P < 0.001), plaque rupture (29.4 versus 76.0%, P < 0.001) and TCFA (57.1 versus 84.0%; P = 0.01). Predictors of plaque rupture were STEMI at presentation (odds ratio: 9.35, 95% confidence interval: 1.66-52.61, P = 0.01) and diabetes mellitus (odds ratio: 6.16, 95% confidence interval: 1.33-28.58, P = 0.02). CONCLUSIONS: In this single-center study, the culprit lesion of patients with STEMI had more lipid, red and mixed thrombus, plaque rupture and TCFA versus patients with UA/non-STEMI. Clinical presentation may be driven by distinct pathophysiologic mechanisms in patients with ACS.

Unraveling the deep learning gearbox in optical coherence tomography image segmentation towards explainable artificial intelligence.

Machine learning has greatly facilitated the analysis of medical data, while the internal operations usually remain intransparent. To better comprehend these opaque procedures, a convolutional neural network for optical coherence tomography image segmentation was enhanced with a Traceable Relevance Explainability (T-REX) technique. The proposed application was based on three components: ground truth generation by multiple graders, calculation of Hamming distances among graders and the machine learning algorithm, as well as a smart data visualization ('neural recording'). An overall average variability of 1.75% between the human graders and the algorithm was found, slightly minor to 2.02% among human graders. The ambiguity in ground truth had noteworthy impact on machine learning results, which could be visualized. The convolutional neural network balanced between graders and allowed for modifiable predictions dependent on the compartment. Using the proposed T-REX setup, machine learning processes could be rendered more transparent and understandable, possibly leading to optimized applications.

Choroid Segmentation of Retinal OCT Images Based on CNN Classifier and l 2-l q Fitter.

Optical coherence tomography (OCT) is a noninvasive cross-sectional imaging technology used to examine the retinal structure and pathology of the eye. Evaluating the thickness of the choroid using OCT images is of great interests for clinicians and researchers to monitor the choroidal thickness in many ocular diseases for diagnosis and management. However, manual segmentation and thickness profiling of choroid are time-consuming which lead to low efficiency in analyzing a large quantity of OCT images for swift treatment of patients. In this paper, an automatic segmentation approach based on convolutional neural network (CNN) classifier and l 2-l q (0 < q < 1) fitter is presented to identify boundaries of the choroid and to generate thickness profile of the choroid from retinal OCT images. The method of detecting inner choroidal surface is motivated by its biological characteristics after light reflection, while the outer chorioscleral interface segmentation is transferred into a classification and fitting problem. The proposed method is tested in a data set of clinically obtained retinal OCT images with ground-truth marked by clinicians. Our numerical results demonstrate the effectiveness of the proposed approach to achieve stable and clinically accurate autosegmentation of the choroid.

Foveal avascular zone segmentation in optical coherence tomography angiography images using a deep learning approach.

The purpose of this study was to introduce a new deep learning (DL) model for segmentation of the fovea avascular zone (FAZ) in en face optical coherence tomography angiography (OCTA) and compare the results with those of the device's built-in software and manual measurements in healthy subjects and diabetic patients. In this retrospective study, FAZ borders were delineated in the inner retinal slab of 3 × 3 enface OCTA images of 131 eyes of 88 diabetic patients and 32 eyes of 18 healthy subjects. To train a deep convolutional neural network (CNN) model, 126 enface OCTA images (104 eyes with diabetic retinopathy and 22 normal eyes) were used as training/validation dataset. Then, the accuracy of the model was evaluated using a dataset consisting of OCTA images of 10 normal eyes and 27 eyes with diabetic retinopathy. The CNN model was based on Detectron2, an open-source modular object detection library. In addition, automated FAZ measurements were conducted using the device's built-in commercial software, and manual FAZ delineation was performed using ImageJ software. Bland-Altman analysis was used to show 95% limit of agreement (95% LoA) between different methods. The mean dice similarity coefficient of the DL model was 0.94 ± 0.04 in the testing dataset. There was excellent agreement between automated, DL model and manual measurements of FAZ in healthy subjects (95% LoA of - 0.005 to 0.026 mm2 between automated and manual measurement and 0.000 to 0.009 mm2 between DL and manual FAZ area). In diabetic eyes, the agreement between DL and manual measurements was excellent (95% LoA of - 0.063 to 0.095), however, there was a poor agreement between the automated and manual method (95% LoA of - 0.186 to 0.331). The presence of diabetic macular edema and intraretinal cysts at the fovea were associated with erroneous FAZ measurements by the device's built-in software. In conclusion, the DL model showed an excellent accuracy in detection of FAZ border in enfaces OCTA images of both diabetic patients and healthy subjects. The DL and manual measurements outperformed the automated measurements of the built-in software.

Fluorescein angiography versus optical coherence tomography angiography: FA vs OCTA Italian Study.

PURPOSE: To assess the current role of fluorescein angiography after the introduction of optical coherence tomography angiography in real-life clinical practice. METHODS: This was a multicentric retrospective observational study to evaluate the number of fluorescein angiography and optical coherence tomography angiography procedures performed by different devices from January 2013 to December 2018. The centers involved were Centro Italiano Macula (Rome), and ophthalmology departments of University "G. D'Annunzio" Chieti-Pescara (Chieti) and "Azienda Ospedaliero Universitaria Careggi" (Florence). RESULTS: Out of 19,898 total fluorescein angiography procedures performed in the observation period, 3444 (17.3%) were in 2013, 3972 (19.9%) were in 2014, 3601 (18.1%) were in 2015, 3407 (17.2%) were in 2016, 3285 (16.5%) were in 2017, and 2189 (11%) were in 2018. Out of 7949 optical coherence tomography angiography procedures performed in the observation period, none were performed in 2013, 550 (6.9%) were in 2014, 908 (11.5%) were in 2015, 2098 (26.4%) were in 2016, 2090 (26.3%) were in 2017, and 2303 (28.9%) were in 2018. CONCLUSION: Fluorescein angiography procedures were performed less often after the introduction of optical coherence tomography angiography technology. The ease, speed, and safety of the optical coherence tomography angiography procedure in everyday clinical practice have facilitated more optical coherence tomography angiography application compared to fluorescein angiography in recent years. In the future, we will probably evaluate the different pathologies that still need an evaluation by fluorescein angiography.

Optical Coherence Tomography Predictors for a Favorable Vascular Response to Statin Therapy.

Background Specific plaque phenotypes that predict a favorable response to statin therapy have not been systematically studied. This study aimed to identify optical coherence tomography predictors for a favorable vascular response to statin therapy. Methods and Results Patients who had serial optical coherence tomography imaging at baseline and at 6 months were included. Thin-cap area (defined as an area with fibrous cap thickness <200 µm) was measured using a 3-dimensional computer-aided algorithm, and changes in the thin-cap area at 6 months were calculated. A favorable vascular response was defined as the highest tertile in the degree of reduction of the thin-cap area. Macrophage index was defined as the product of the average macrophage arc and length of the lesion with macrophage infiltration. Layered plaque was defined as a plaque with 1 or more layers of different optical density. In 84 patients, 140 nonculprit lipid plaques were identified. In multivariable analysis, baseline thin-cap area (odds ratio [OR] 1.442; 95% CI, 1.024-2.031, P=0.036), macrophage index (OR, 1.031; 95% CI, 1.002-1.061, P=0.036), and layered plaque (OR, 2.767; 95% CI, 1.024-7.479, P=0.045) were identified as the significant predictors for a favorable vascular response. Favorable vascular response was associated with a decrease in the macrophage index. Conclusions Three optical coherence tomography predictors for a favorable vascular response to statin therapy have been identified: large thin-cap area, high macrophage index, and layered plaque. Favorable vascular response to statin was correlated with signs of decreased inflammation. Registration URL: https://www.clinicaltrials.gov; Unique identifier: NCT01110538.

Registro Español de Hemodinámica y Cardiología Intervencionista. XXIX Informe Oficial de la Asociación de Cardiología Intervencionista de la Sociedad Española de Cardiología (1990-2019) / Spanish Cardiac Catheterization and Coronary Intervention Registry. 29th Official Report of the Interventional Cardiology Association of the Spanish Society of Cardiology (1990-2019)

INTRODUCCIÓN Y OBJETIVOS: La Asociación de Cardiología Intervencionista de la Sociedad Española de Cardiología (ACI-SEC) presenta su informe anual de actividad de 2019. MÉTODOS: Se invitó a participar a todos los centros españoles con laboratorio de hemodinámica. La recogida de datos se realizó telemáticamente y una empresa externa, junto con los miembros de la ACI-SEC, llevó a cabo su análisis. RESULTADOS: Participaron 119 centros (83 públicos y 36 privados). Se realizaron 165.124 estudios diagnósticos (el 4,7% más que en 2018). La guía de presión y la ecografía intracoronaria crecieron un 20% y la tomografía de coherencia óptica, un 8,4%. El intervencionismo coronario aumentó un 4,5%, con 75.819 procedimientos. De ellos, 22.529 en el infarto agudo de miocardio, con el 91,8% de angioplastias primarias (el 6,3% más que en 2018). La media de angioplastias primarias por millón de habitantes creció a 439. El acceso fue radial en el 88,3% de los procedimientos intervencionistas. Se practicaron 4.281 implantes percutáneos de válvula aórtica (el 21,0% más que en 2018), con una media de 90,9 por millón de habitantes. La reparación percutánea mitral también creció un 17,4% (385 procedimientos); el cierre de orejuela, un 43,0% (n=921) y el foramen oval permeable, un 38,1% (n=710). CONCLUSIONES: En 2019 se produjo un incremento del uso de técnicas de diagnóstico intracoronarias y prodecimientos diagnósticos y terapéuticos coronarios, fundamentalmente en la angioplastia primaria. En intervencionismo estructural, destaca el fuerte ascenso del número de implantes percutáneos de válvula aórtica, así como de procedimientos de reparación mitral, cierre de orejuela y foramen oval permeable

INTRODUCTION AND OBJECTIVES: The Interventional Cardiology Association of the Spanish Society of Cardiology (ACI-SEC) presents its annual report on the activity for 2019. METHODS: All Spanish centers with a catheterization laboratory were invited to participate. Data were introduced online and analyzed by an external company together with the Steering Committee of the ACI-SEC. RESULTS: A total of 119 centers participated (83 public, 36 private). In all, there were 165124 diagnostic studies (4.7% more than in 2018). The use of pressure wire and intravascular ultrasound increased by 20% and that of optical coherence tomography by 8.4%. The number of percutaneous coronary interventions (PCI) rose by 4.5% (75 819 procedures). Of these, 22529 were performed in the acute myocardial infarction setting, with 91.8% being primary PCI (6.3% increase). The mean number of primary PCIs per million inhabitants increased to 439. Among PCIs, access was radial in 88.3%. There were 4281 transcatheter aortic valve implantations (21.0% increase), with an average of 90.9 per million inhabitants. Mitral valve repair also rose by 17.4% (n=385), left atrial appendage closure by 43.0% (n=921) and patent foramen ovale closure by 38.1% (n=710). CONCLUSIONS: In 2019, the use of intracoronary diagnostic techniques increased, as did that of diagnostic and therapeutic coronary procedures, mainly in primary PCI. Of particular note was the marked increase in the number of transcatheter aortic valve implantations, as well as in the number of mitral valve repairs and left atrial appendage and patent foramen ovale closure procedures

Automatic Detection of Coronary Metallic Stent Struts Based on YOLOv3 and R-FCN.

An artificial stent implantation is one of the most effective ways to treat coronary artery diseases. It is vital in vascular medical imaging, such as intravascular optical coherence tomography (IVOCT), to be able to track the position of stents in blood vessels effectively. We trained two models, the "You Only Look Once" version 3 (YOLOv3) and the Region-based Fully Convolutional Network (R-FCN), to detect metal support struts in IVOCT, respectively. After rotating the original images in the training set for data augmentation, and modifying the scale of the conventional anchor box in both two algorithms to fit the size of the target strut, YOLOv3 and R-FCN achieved precision, recall, and AP all above 95% in 0.4 IoU threshold. And R-FCN performs better than YOLOv3 in all relevant indicators.