1. Capital Medical University

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    1. Mentioned In 113 Articles

    2. The Value of Optical Coherence Tomography Angiography in Pituitary Adenomas

      The Value of Optical Coherence Tomography Angiography in Pituitary Adenomas
      Objective : This study aims to explore the value of retinal vessel density (VD) in diagnosing optic nerve injuries in patients with pituitary adenomas using optical coherence tomography angiography (OCTA). Methods : In this cross-sectional retrospective study, 100 patients with pituitary adenomas and 71 participants for normal controls, who visited the Beijing Tiantan Hospital from January 2019 to May 2021, were enrolled. The OCTA was used to measure retinal thickness and VD ...
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    3. Diagnosing Diabetic Retinopathy in OCTA Images Based on Multilevel Information Fusion Using a Deep Learning Framework

      Diagnosing Diabetic Retinopathy in OCTA Images Based on Multilevel Information Fusion Using a Deep Learning Framework
      Objective: As an extension of optical coherence tomography (OCT), optical coherence tomographic angiography (OCTA) provides information on the blood flow status at the microlevel and is sensitive to changes in the fundus vessels. However, due to the distinct imaging mechanism of OCTA, existing models, which are primarily used for analyzing fundus images, do not work well on OCTA images. Effectively extracting and analyzing the information in OCTA images remains challenging ...
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    4. HCTNet: A Hybrid ConvNet-Transformer Network for Retinal Optical Coherence Tomography Image Classification

      HCTNet: A Hybrid ConvNet-Transformer Network for Retinal Optical Coherence Tomography Image Classification
      Automatic and accurate optical coherence tomography (OCT) image classification is of great significance to computer-assisted diagnosis of retinal disease. In this study, we propose a hybrid ConvNet-Transformer network (HCTNet) and verify the feasibility of a Transformer-based method for retinal OCT image classification. The HCTNet first utilizes a low-level feature extraction module based on the residual dense block to generate low-level features for facilitating the network training. Then, two parallel branches ...
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    5. Application of optical coherence tomography in decision-making of post-thrombectomy adjunctive treatments

      Application of optical coherence tomography in decision-making of post-thrombectomy adjunctive treatments
      An adult patient with acute basilar artery occlusion underwent mechanical thrombectomy. After complete reperfusion, a 70% residual stenosis of the proximal basilar artery was observed. Intravascular optical coherence tomography (OCT) identified lipid plaques with an intact fibrous cap and thrombus in the culprit lesion, indicating plaque erosion was the mechanism of in situ thrombosis. Adjunctive antiplatelet therapy rather than rescue interventions was pursued for its beneficial effects in acute coronary ...
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    6. Noninvasive Diagnosis of Oral Squamous Cell Carcinoma by Multi-level Deep Residual Learning on Optical Coherence Tomography Images

      Noninvasive Diagnosis of Oral Squamous Cell Carcinoma by Multi-level Deep Residual Learning on Optical Coherence Tomography Images
      Background Oral Squamous Cell Carcinoma (OSCC) is one of the most severe cancers in the world, and its early detection is crucial for saving patients. There is an inevitable necessity to develop the automatic noninvasive OSCC diagnosis approach to identify the malignant tissues on Optical Coherence Tomography (OCT) images. Methods This study presents a novel Multi-Level Deep Residual Learning (MDRL) network to identify malignant and benign(normal) tissues from OCT ...
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    7. Structural-visual functional relationships detected by optical coherence tomography in varying age-cohorts' patients with optic neuritis

      Structural-visual functional relationships detected by optical coherence tomography in varying age-cohorts' patients with optic neuritis
      Aim: To assess the relationships of final best-corrected visual acuity (BCVA) and the optic nerve structural loss in varying age-cohorts of optic neuritis (ON) patients. Methods: This is a retrospective, cross-sectional study. Totally 130 ON subjects (200 eyes) without ON onset within 6mo were included, who underwent BCVA assessment, peripapillary retinal nerve fibre layer (pRNFL) and macular segmented layers evaluation by optical coherence tomography (OCT). Results: For the 0-18y cohort ...
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    8. FN-OCT: Disease Detection Algorithm for Retinal Optical Coherence Tomography Based on a Fusion Network

      FN-OCT: Disease Detection Algorithm for Retinal Optical Coherence Tomography Based on a Fusion Network
      Optical coherence tomography (OCT) is a new type of tomography that has experienced rapid development and potential in recent years. It is playing an increasingly important role in retinopathy diagnoses. At present, due to the uneven distributions of medical resources in various regions, the uneven proficiency levels of doctors in grassroots and remote areas, and the development needs of rare disease diagnosis and precision medicine, artificial intelligence technology based on ...
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    9. The relation between red blood cell distribution width and coronary atherosclerotic plaque vulnerability detected by intracoronary optical coherence tomography

      The relation between red blood cell distribution width and coronary atherosclerotic plaque vulnerability detected by intracoronary optical coherence tomography
      Background: A higher red blood cell distribution width (RDW) predicts major adverse cardiac events in patients with coronary artery disease (CAD). However, there are only few studies regarding the relationship between RDW and vulnerable plaques. Thus, the purpose of present study is to retrospectively explore the predictive value of the association between RDW and plaque vulnerability assessed by optical coherence tomography (OCT) in patients with cardiovascular (CV) diseases. Methods: This ...
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    10. Deep learning algorithms for detection of diabetic macular edema in OCT images: A systematic review and meta-analysis

      Deep learning algorithms for detection of diabetic macular edema in OCT images: A systematic review and meta-analysis
      Purpose: Artificial intelligence (AI) can detect diabetic macular edema (DME) from optical coherence tomography (OCT) images. We aimed to evaluate the performance of deep learning neural networks in DME detection. Methods: Embase, Pubmed, the Cochrane Library, and IEEE Xplore were searched up to August 14, 2021. We included studies using deep learning algorithms to detect DME from OCT images. Two reviewers extracted the data independently, and the Quality Assessment of ...
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    11. Macular Changes Observed on Optical Coherence Tomography Angiography in Patients Infected With Human Immunodeficiency Virus Without Infectious Retinopathy

      Macular Changes Observed on Optical Coherence Tomography Angiography in Patients Infected With Human Immunodeficiency Virus Without Infectious Retinopathy
      Purpose: As the human immunodeficiency virus (HIV) pandemic is far from over, whether there are subclinical macular changes in HIV-positive patients is something that should not be overlooked. We aimed to apply optical coherence tomography angiography (OCTA) to assess the macular structure and microvasculature changes in patients with HIV without infectious retinopathy. Methods: HIV-positive and -negative participants were included and classified into three groups: HIV-negative, HIV-positive, and HIV-positive with microvasculopathy ...
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    12. Optical Coherence Tomography in Cerebrovascular Disease: Open up New Horizons

      Optical Coherence Tomography in Cerebrovascular Disease: Open up New Horizons
      Optical coherence tomography (OCT), based on the backscattering or reflection of near-infrared light, enables an ultra-high resolution of up to 10 m. The successful application of OCT in coronary artery diseases has sparked increasing interest in its implementation in cerebrovascular diseases. OCT has shown promising potential in the atherosclerotic plaque structure characterization, plaque rupture risk stratification, pre-stenting and post-stenting evaluation, and long-term follow-up in extracranial and intracranial atherosclerotic stenosis (ICAS ...
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    13. Retinal nerve fibre layer thickness measured with SD-OCT in a population-based study: the Handan Eye Study

      Retinal nerve fibre layer thickness measured with SD-OCT in a population-based study: the Handan Eye Study
      Purpose To examine the normative profile of retinal nerve fibre layer (RNFL) thickness and ocular parameters based on spectral-domain optical coherence tomography (SD-OCT) and its associations with related parameters among the Chinese population. Methods This population-based cohort Handan Eye Study (HES) recruited participants aged30 years. All subjects underwent a standardised ophthalmic examination. Peripapillary RNFL thickness was obtained using SD-OCT. Mixed linear models were adopted to evaluate the correlation of RNFL ...
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    14. Noninvasive oral cancer screening based on local residual adaptation network using optical coherence tomography

      Noninvasive oral cancer screening based on local residual adaptation network using optical coherence tomography
      Oral cancer is known as one of the relatively common malignancy types worldwide. Despite the easy access of the oral cavity to examination, the invasive biopsy is still essential for final diagnosis, which requires laborious operation and complicated trained specialists. With the development of deep learning, the artificial intelligence (AI) technique is applied for oral cancer examinations and alleviates the workload of manual screening on biopsy. However, existing computer-aided oral ...
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    15. A Multicenter RCT of OCT-Guided Reperfusion in STEMI With Early Infarct Artery Patency

      A Multicenter RCT of OCT-Guided Reperfusion in STEMI With Early Infarct Artery Patency
      Objectives The aim of this study was to test whether optical coherence tomographic (OCT) guidance would provide additional useful information beyond that obtained by angiography and lead to a shift in reperfusion strategy and improved clinical outcomes in patients with ST-segment elevation myocardial infarction (STEMI) with early infarct artery patency. Background Angiography is limited in assessing the underlying pathophysiological mechanisms of the culprit lesion. Methods EROSION III (Optical Coherence TomographyGuided ...
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    16. Assessment of radial artery atherosclerosis in acute coronary syndrome patients: an in vivo study using optical coherence tomography

      Assessment of radial artery atherosclerosis in acute coronary syndrome patients: an in vivo study using optical coherence tomography
      Background: Radial artery (RA) atherosclerosis in acute coronary syndrome (ACS) patients has not been systematically observed in vivo. The study aims to characterize plaque morphology and intimal hyperplasia of the RA in patients with ACS, using optical coherence tomography (OCT). Methods: In this retrospective study involving 239 ACS patients underwent RA OCT without guidewire shadow, 3 groups were divided according to the following criteria: radial artery plaque (RAP) group included ...
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  2. About Capital Medical University

    Capital Medical University

    Capital Medical University (CMU) was founded in 1960. It ranks among the top academic medical institutions in Chin and is considered as one of the key municipal universities in Beijing. The founding President, Professor Wu Jieping, was a world-renowned urologist, member of both the Chinese Academy of Sciences and the Chinese Academy of Engineering. The current President is Professor Lu Zhaofeng.