1. Chinese Academy of Sciences

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    1. Mentioned In 121 Articles

    2. Clinical Outcomes Following Hemodynamic Parameter or Intravascular Imaging-Guided Percutaneous Coronary Intervention in the Era of Drug-Eluting Stents: An Updated Systematic Review and Bayesian Network Meta-Analysis of 28 Randomized Trials and 11,860 Pati

      Clinical Outcomes Following Hemodynamic Parameter or Intravascular Imaging-Guided Percutaneous Coronary Intervention in the Era of Drug-Eluting Stents: An Updated Systematic Review and Bayesian Network Meta-Analysis of 28 Randomized Trials and 11,860 Pati
      Background: Coronary angiography (CAG) is the standard imaging modality for guiding percutaneous coronary interventions (PCI). Intracoronary imaging techniques such as intravascular ultrasound (IVUS) and optical coherence tomography (OCT), and hemodynamic parameter like fractional flow reserve (FFR) can overcome some limitations of CAG. Objective: We sought to explore the clinical outcomes of different PCI guidance modalities in the era of drug-eluting stent (DES). Methods: A network meta-analysis of 28 randomized trials ...
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    3. Predicting lesion shrinkage in eyes with myopic choroidal neovascularization from features on optical coherence tomography angiography

      Predicting lesion shrinkage in eyes with myopic choroidal neovascularization from features on optical coherence tomography angiography
      Purpose: To identify baseline morphological predictors of lesion shrinkage in eyes with myopic choroidal neovascularization (mCNV) treated with anti-vascular endothelial growth factor (VEGF). Methods: This retrospective study included 46 eyes (41 consecutive patients) with active mCNV receiving anti-VEGF treatment. Optical coherence tomography angiography (OCTA) was performed at baseline and 1 year after treatment. Quantitative features were obtained from OCTA images using AngioTool software. Eyes were classified as "high-shrinkage" or "low-shrinkage ...
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    4. High-Risk Culprit Plaque Predicts Cardiovascular Outcomes Independently of Plaque Rupture in ST-Segment Elevation Myocardial Infarction: Insight From Optical Coherence Tomography

      High-Risk Culprit Plaque Predicts Cardiovascular Outcomes Independently of Plaque Rupture in ST-Segment Elevation Myocardial Infarction: Insight From Optical Coherence Tomography
      The present study explored the predictive value of culprit high-risk plaque (HRP) detected by optical coherence tomography (OCT) for predicting major adverse cardiovascular events (MACEs) in patients with ST-segment elevation myocardial infarction (STEMI). HRP was defined as the simultaneous presence of four criteria: minimum lumen area 3.5 mm 2 , fibrous cap thickness 75 m, lipid plaque with lipid arc extension 180, and presence of macrophages. Patients (n = 274) were ...
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    5. Quantitative evaluation of retinal and choroidal vascularity and retrobulbar blood flow in patients with myopic anisometropia by CDI and OCTA

      Quantitative evaluation of retinal and choroidal vascularity and retrobulbar blood flow in patients with myopic anisometropia by CDI and OCTA
      Aims To investigate the association between the myopic severity and retinal microvascular density, choroidal vascularity and retrobulbar blood flow in adult anisomyopes. Methods This study comprised 90 eyes of 45 myopic anisomyopes who were recruited for Colour Doppler imaging (CDI) and optical coherence tomography angiography (OCTA). The superficial vessel density (SVD), deep vessel density (DVD), choroidal thickness (ChT) and choroidal vascularity, including total choroidal area (TCA), luminal area (LA), stromal ...
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    6. Esophageal optical coherence tomography image synthesis using an adversarially learned variational autoencoder

      Esophageal optical coherence tomography image synthesis using an adversarially learned variational autoencoder
      Endoscopic optical coherence tomography (OCT) imaging offers a non-invasive way to detect esophageal lesions on the microscopic scale, which is of clinical potential in the early diagnosis and treatment of esophageal cancers. Recent studies focused on applying deep learning-based methods in esophageal OCT image analysis and achieved promising results, which require a large data size. However, traditional data augmentation techniques generate samples that are highly correlated and sometimes far from ...
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    7. In vivo evaluation of endometrium through dual-modality intrauterine endoscopy

      In vivo evaluation of endometrium through dual-modality intrauterine endoscopy
      Female infertilities are highly associated with poor endometrial receptivity. A receptive endometrium is generally characterized by the normal uterine cavity, intact endometrial surface, appropriate endometrial thickness, and echo pattern. Acquiring comprehensive structural information is the prerequisite of endometrium assessment, which is beyond the ability of any single-modality imaging method. In this paper, we introduce a custom-made intrauterine dual-modality (OCT/ultrasound) endoscopic imaging system and achieve in vivo imaging of rabbit ...
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    8. Development and quantitative assessment of deep learning-based image enhancement for optical coherence tomography

      Development and quantitative assessment of deep learning-based image enhancement for optical coherence tomography
      Purpose: To develop a deep learning-based framework to improve the image quality of optical coherence tomography (OCT) and evaluate its image enhancement effect with the traditional image averaging method from a clinical perspective. Methods: 359 normal eyes and 456 eyes with various retinal conditions were included. A deep learning framework with high-resolution representation was developed to achieve image quality enhancement for OCT images. The quantitative comparisons, including expert subjective scores ...
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    9. Application of Keratograph and Fourier-Domain Optical Coherence Tomography in Measurements of Tear Meniscus Height

      Application of Keratograph and Fourier-Domain Optical Coherence Tomography in Measurements of Tear Meniscus Height
      To compare the interoperator repeatability of tear meniscus height (TMH) measurements obtained with a keratograph and Fourier-domain optical coherence tomography (FD-OCT) and to assess the agreement between the methods.Forty-seven eyes with DED and 41 healthy eyes were analyzed using the Schirmer test I and tear breakup time test (TBUT). The TMH was measured three times with each device. The repeatability of measurements was assessed by within-subject standard deviation (Sw ...
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    10. Comparison of a New Optical Biometer That Combines Scheimpflug Imaging With Partial Coherence Interferometry With That of an Optical Biometer Based on Swept-Source Optical Coherence Tomography and Placido-Disk Topography

      Comparison of a New Optical Biometer That Combines Scheimpflug Imaging With Partial Coherence Interferometry With That of an Optical Biometer Based on Swept-Source Optical Coherence Tomography and Placido-Disk Topography
      Purpose: To evaluate measurement precision and to compare the Pentacam AXL (Oculus Optikgerte, Wetzlar, German), a new optical biometer based on Scheimpflug imaging and partial coherence interferometry (PCI) with that of the OA-2000 biometer (Tomey, Nagoya, Japan), which combines swept-source optical coherence tomography (SS-OCT) and Placido-disk topography. Methods: Axial length (AL), central corneal thickness (CCT), anterior chamber depth (ACD), aqueous depth (AQD), mean keratometry (Km), astigmatism vectors J0, J45, and ...
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    11. Denoising algorithm of OCT images via sparse representation based on noise estimation and global dictionary

      Denoising algorithm of OCT images via sparse representation based on noise estimation and global dictionary
      Optical coherence tomography (OCT) is a high-resolution and non-invasive optical imaging technology, which is widely used in many fields. Nevertheless, OCT images are disturbed by speckle noise due to the low-coherent interference properties of light, resulting in significant degradation of OCT image quality. Therefore, a denoising algorithm of OCT images via sparse representation based on noise estimation and global dictionary is proposed in this paper. To remove noise and improve ...
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    12. Quantification of an oval optic disc in relation to myopic foveoschisis using swept-source optical coherence tomography

      Quantification of an oval optic disc in relation to myopic foveoschisis using swept-source optical coherence tomography
      Background: To investigate the relationship between an oval optic disc and the occurrence of myopic foveoschisis (MF) using swept-source optic coherence tomography (SS-OCT). Methods: Fifty eyes of 25 patients with unilateral MF were included in this retrospective observational study. The biometric features of the optic disc and peripapillary structures were evaluated using SS-OCT. Results: The ovality index (OI) of the optic disc was significantly smaller (P = 0.003) and the ...
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    13. Optical Imaging in the Diagnosis of OPMDs Malignant Transformation

      Optical Imaging in the Diagnosis of OPMDs Malignant Transformation
      Oral potentially malignant disorders (OPMDs) are a heterogeneous group of oral lesions with a variable risk of malignant transformation to oral squamous cell carcinoma. The current OPMDs malignant transformation screening depends on conventional oral examination (COE) and is confirmed by biopsy and histologic examination. However, early malignant lesions with subtle mucosal changes are easily unnoticed by COE based on visual inspection and palpation. Optical techniques have been used to determine ...
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    14. Multi-scale pathological fluid segmentation in OCT with a novel curvature loss in convolutional neural network

      Multi-scale pathological fluid segmentation in OCT with a novel curvature loss in convolutional neural network
      The segmentation of pathological fluid lesions in optical coherence tomography (OCT), including intraretinal fluid, subretinal fluid, and pigment epithelial detachment, is of great importance for the diagnosis and treatment of various eye diseases such as neovascular age-related macular degeneration and diabetic macular edema. Although significant progress has been achieved with the rapid development of fully convolutional neural networks (FCN) in recent years, some important issues remain unsolved. First, pathological fluid ...
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    15. Retinal Microvascular Alterations Detected by Optical Coherence Tomography Angiography in Nonfunctioning Pituitary Adenomas

      Retinal Microvascular Alterations Detected by Optical Coherence Tomography Angiography in Nonfunctioning Pituitary Adenomas
      Purpose: Visual impairment assessment plays a significant role in diagnosis and clinical decisions in nonfunctioning pituitary adenoma (NFPA). Retinal microvascular alterations may potentially reflect the visual impairment. The purpose of this study was to evaluate fundus microvascular alterations in patients with NFPA. Methods: Comparisons of visual field, retinal structure, and microcirculation were conducted between patients with NFPA and age- and sex-matched healthy controls. Multivariate regression modeling was used to assess ...
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    16. Prediction of effective Lens position using anterior segment optical coherence tomography in Chinese subjects with angle closure

      Prediction of effective Lens position using anterior segment optical coherence tomography in Chinese subjects with angle closure
      Purpose: To assess the accuracy of biometric parameters measured by anterior segment optical coherence tomography (AS-OCT) and partial coherence interferometry (PCI) in prediction of effective lens position (ELP) compared with previous formulas in PACG patients. Methods: 121 PACG eyes were randomly divided into training set (85 eyes) and validation set (36 eyes) with same procedure including AS-OCT, PCI, phacoemulsification and IOL implantation surgery. Preoperative anterior chamber depth (pre-ACD), scleral spur ...
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  2. About Chinese Academy of Sciences

    Chinese Academy of Sciences

    Chinese Academy of Sciences (CAS) is a leading academic institution and comprehensive research and development center in natural science, technological science and high-tech innovation in China. It was founded in Beijing on 1st November 1949 on the basis of the former Academia Sinica (Central Academy of Sciences) and Peiping Academy of Sciences.