1. Hiram G. Bezerra

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    1. Mentioned In 108 Articles

    2. New Research Finds Abbott's Optical Coherence Tomography Imaging Changed Treatment Decisions in 88% of Artery Blockages

      New Research Finds Abbott's Optical Coherence Tomography Imaging Changed Treatment Decisions in 88% of Artery Blockages
      ...blockage and were able to demonstrate the significant impact that the information had on our decisions," said Hiram Bezerra, M.D., professor of medicine at the University of South Tampa and the director of Cardiac Interv...
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    3. An assessment of the quality of optical coherence tomography image acquisition

      An assessment of the quality of optical coherence tomography image acquisition
      Optical coherence tomography (OCT) provides excellent image resolution, however OCT optimal acquisition is essential but could be challenging owing to several factors. We sought to assess the quality of OCT pullbacks and identify the causes of suboptimal image acquisition. We evaluated 784 (404 pre-PCI; 380 post-PCI) coronary pullbacks from an anonymized OCT database from our Cardiovascular Imaging Core Laboratory. Imaging of the region-of-interest (ROIlesion or stented segment plus references) was ...
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    4. Fully automated plaque characterization in intravascular OCT images using hybrid convolutional and lumen morphology features

      Fully automated plaque characterization in intravascular OCT images using hybrid convolutional and lumen morphology features
      For intravascular OCT (IVOCT) images, we developed an automated atherosclerotic plaque characterization method that used a hybrid learning approach, which combined deep-learning convolutional and hand-crafted, lumen morphological features. Processing was done on innate A-line units with labels fibrolipidic (fibrous tissue followed by lipidous tissue), fibrocalcific (fibrous tissue followed by calcification), or other. We trained/tested on an expansive data set (6,556 images), and performed an active learning, relabeling step ...
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    5. Application and Evaluation of Highly Automated Software for Comprehensive Stent Analysis in Intravascular Optical Coherence Tomography

      Application and Evaluation of Highly Automated Software for Comprehensive Stent Analysis in Intravascular Optical Coherence Tomography
      Intravascular optical coherence tomography (IVOCT) is used to assess stent tissue coverage and malapposition in stent evaluation trials. We developed the OCT Image Visualization and Analysis Toolkit for Stent (OCTivat-Stent), for highly automated analysis of IVOCT pullbacks. Algorithms automatically detected the guidewire, lumen boundary, and stent struts; determined the presence of tissue coverage for each strut; and estimated the stent contour for comparison of stent and lumen area. Strut-level tissue ...
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    6. Optical Coherence Tomography-Based Modeling of Stent Deployment in Heavily Calcified Coronary Lesion

      Optical Coherence Tomography-Based Modeling of Stent Deployment in Heavily Calcified Coronary Lesion
      In this work, a heavily calcified coronary artery model was reconstructed from optical coherence tomography (OCT) images to investigate the impact of calcification characteristics on stenting outcomes. The calcification was quantified at various cross sections in terms of angle, maximum thickness, and area. The stent deployment procedure, including the crimping, expansion, and recoil, was implemented. The influence of calcification characteristics on stent expansion, malapposition, and lesion mechanics was characterized. Results ...
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    7. Automated plaque characterization using deep learning on coronary intravascular optical coherence tomographic images

      Automated plaque characterization using deep learning on coronary intravascular optical coherence tomographic images
      Accurate identification of coronary plaque is very important for cardiologists when treating patients with advanced atherosclerosis. We developed fully-automated semantic segmentation of plaque in intravascular OCT images. We trained/tested a deep learning model on a folded, large, manually annotated clinical dataset. The sensitivities/specificities were 87.4%/89.5% and 85.1%/94.2% for pixel-wise classification of lipidous and calcified plaque, respectively. Automated clinical lesion metrics, potentially useful ...
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    8. Automated A-line coronary plaque classification of intravascular optical coherence tomography images using handcrafted features and large datasets

      Automated A-line coronary plaque classification of intravascular optical coherence tomography images using handcrafted features and large datasets
      We developed machine learning methods to identify fibrolipidic and fibrocalcific A-lines in intravascular optical coherence tomography (IVOCT) images using a comprehensive set of handcrafted features. We incorporated features developed in previous studies (e.g., optical attenuation and A-line peaks). In addition, we included vascular lumen morphology and three-dimensional (3-D) digital edge and texture features. Classification methods were developed using expansive datasets (7000images), consisting of both clinical in-vivo images and an ...
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    9. Laser Imaging: Unraveling Laser Atherectomy Mechanisms of Action with Optical Coherence Tomography

      Laser Imaging: Unraveling Laser Atherectomy Mechanisms of Action with Optical Coherence Tomography
      Purpose of Review The goal is to review the current data regarding excimer laser coronary atherectomy (ELCA) through optical coherence tomography (OCT) imaging. We aim to reveal the mechanisms of action and principles of use for laser, and to analyze the current supportive data. Recent Findings ELCA is an adjuvant procedure to percutaneous coronary intervention, aimed at properly preparing coronary lesions to optimize stenting. It is an effective atherectomy device ...
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      Mentions: Hiram G. Bezerra
    10. Diagnostic accuracy of intracoronary optical coherence tomography-derived fractional flow reserve for assessment of coronary stenosis severity

      Diagnostic accuracy of intracoronary optical coherence tomography-derived fractional flow reserve for assessment of coronary stenosis severity
      ims: A novel method for computation of fractional flow reserve (FFR) from optical coherence tomography (OCT) was developed recently. This study aimed to evaluate the diagnostic accuracy of a new OCT-based FFR (OFR) computational approach, using wire-based FFR as the reference standard. Methods and results: Patients who underwent both OCT and FFR prior to intervention were analysed. The lumen of the interrogated vessel and the ostia of the side branches ...
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    11. Automated analysis of intravascular OCT image volumes

      Automated analysis of intravascular OCT image volumes
      This disclosure provides systems and methods to automatically classify stent struts as covered or uncovered and to measure the thickness of tissue coverage. As one example, the method includes storing three-dimensional image data acquired intravascularly via an optical coherence tomography (OCT) apparatus and detecting struts based on analysis of the image data. Image data corresponding to each of the detected struts is further analyzed automatically to compute an indication of ...
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    12. Analysis of optical tomography (OCT) images

      Analysis of optical tomography (OCT) images
      A method includes storing three-dimensional image data acquired intravascularly via an optical coherence tomography (OCT) apparatus. The image data is analyzed to compute a probability estimate of stent presence at support positions appearing in an A-line. Stent strut locations are located in three-dimensional space based on the computed probability estimate of stent presence.
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    13. Deep neural networks for A-line-based plaque classification in coronary intravascular optical coherence tomography images

      Deep neural networks for A-line-based plaque classification in coronary intravascular optical coherence tomography images
      We develop neural-network-based methods for classifying plaque types in clinical intravascular optical coherence tomography (IVOCT) images of coronary arteries. A single IVOCT pullback can consist of 500 microscopic-resolution images, creating both a challenge for physician interpretation during an interventional procedure and an opportunity for automated analysis. In the proposed method, we classify each A-line, a datum element that better captures physics and pathophysiology than a voxel, as a fibrous layer ...
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    14. New Volumetric Analysis Method for Stent Expansion and its Correlation With Final Fractional Flow Reserve and Clinical Outcome An ILUMIEN I Substudy

      New Volumetric Analysis Method for Stent Expansion and its Correlation With Final Fractional Flow Reserve and Clinical Outcome An ILUMIEN I Substudy
      Download figure Open in new tab Download powerpoint Abstract Objectives This study sought to compare conventional methodology (CM) with a newly described optical coherence tomography (OCT)-derived volumetric stent expansion analysis in terms of fractional flow reserve (FFR)-derived physiology and device-oriented composite endpoints (DoCE). Background The analysis of coronary stent expansion with intracoronary imaging has used CM that relies on the analysis of selected single cross-sections for several decades ...
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    15. Optimizing Percutaneous Coronary Intervention in Calcified Lesions Insights From Optical Coherence Tomography of Atherectomy

      Optimizing Percutaneous Coronary Intervention in Calcified Lesions Insights From Optical Coherence Tomography of Atherectomy
      Optimal coronary stent implantation is among the few successful strategies in preventing stent failures, notably in-stent restenosis and stent thrombosis. 1 Understanding the intravascular milieu is a prerequisite for optimization of percutaneous coronary intervention (PCI). Calcified lesions limit stent expansion, the most robust predictor of target lesion revascularization, and are thus associated with worst outcomes. 2 Coronary angiography is a poor discriminator of calcium distribution and thickness. Reliance on angiography ...
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  2. About Hiram G. Bezerra

    Hiram G. Bezerra, M.D., is with the University Hospitals Case Medical Center-Interventional Cardiovascular Center and Research & Innovation Center.

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    1. After planning a procedure with angiography alone, we exposed physicians to all the information provided by OCT on the same blockage and were able to demonstrate the significant impact that the information had on our decisions...OCT takes the guesswork out of angiography, offering doctors real-time high-quality granularity and precision when performing PCIs, and helping doctors make real-time decisions in the cath lab.
      In New Research Finds Abbott's Optical Coherence Tomography Imaging Changed Treatment Decisions in 88% of Artery Blockages