Article
Chemistry, Multidisciplinary
Seung Yeon Shin, Soochahn Lee, Il Dong Yun, Kyoung Mu Lee
Summary: The paper presents a new method for retinal artery-vein classification by estimating the underlying vessel topology to ensure consistent prediction along the actual vessel structure. The vessel topology estimation is cast as iterative vascular connectivity prediction, implemented through deep-learning-based pairwise classification. The effectiveness and efficiency of the proposed method is validated through experiments on two retinal image datasets.
APPLIED SCIENCES-BASEL
(2021)
Article
Cell Biology
Jingfei Hu, Hua Wang, Zhaohui Cao, Guang Wu, Jost B. Jonas, Ya Xing Wang, Jicong Zhang
Summary: In this study, a VC-Net model is proposed to enhance the accuracy and precision of A/V classification by combining vessel distribution and edge information. The experimental results show competitive performance of the model in A/V classification and vessel segmentation tasks. Additionally, the model demonstrates good robustness when tested with fusion datasets of different scales.
FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY
(2021)
Article
Engineering, Biomedical
Aidi Zhao, Hong Su, Chongyang She, Hui Li, Huaiyu Qiu, Xiao Huang, Zhihong Jiang
Summary: A post-processing optimization method is proposed in this paper to improve the accuracy of artery and vein (A/V) classification. By utilizing a backflow tracing algorithm and a label delivery algorithm, the method effectively solves the misclassification problem in CNN and enhances the A/V classification results.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2024)
Article
Biology
Lin Pan, Zhaopei Li, Zhiqiang Shen, Zheng Liu, Liqin Huang, Mingjing Yang, Bin Zheng, Taidui Zeng, Shaohua Zheng
Summary: In this study, a novel automatic method for artery-vein separation in CT images is proposed, which utilizes a multi-scale information aggregated network and deep supervision to learn the features of artery-vein. The results demonstrate that this method can effectively solve the problems of insufficient vascular connectivity and spatial inconsistency of artery-vein.
COMPUTERS IN BIOLOGY AND MEDICINE
(2023)
Article
Multidisciplinary Sciences
Ramin Toosi, Mohammad Ali Akhaee, Mohammad-Reza A. Dehaqani
Summary: Developing high-density electrodes for recording large ensembles of neurons provides a unique opportunity for understanding neuronal circuits. However, the change of brain tissue around implanted electrodes often leads to wave-shape distortion, posing challenges for spike sorting. Automatic spike sorting algorithms have been developed to extract spikes from extracellular data, but robust spike detection and clustering methods are needed due to wave-shape instability. The proposed algorithm based on adaptive spike detection and skew-t distribution mixture improves spike sorting performance in terms of precision and recall across various signal-to-noise ratios.
SCIENTIFIC REPORTS
(2021)
Review
Biochemistry & Molecular Biology
Pierre Bredeloux, Come Pasqualin, Romain Bordy, Veronique Maupoil, Ian Findlay
Summary: This article summarizes the physiological phenomena underlying ectopic electrical activity in animal pulmonary veins and emphasizes the importance of activating multiple signaling pathways for the initiation of triggered or automatic activity. It also gathers information about the large-scale structure of cardiac muscle sleeves and discusses the contribution of cellular heterogeneity to the generation of arrythmogenic phenomena and the distinction between pulmonary vein and left atrial heart muscle.
Review
Cardiac & Cardiovascular Systems
M. Westhoff, T. Hardebusch, P. Litterst, A. Breithecker, M. Haas, M. Kuniss, T. Neumann, S. Guth, C. B. Wiedenroth
Summary: A 58-year-old patient with a history of silicosis presented to the emergency department with severe respiratory insufficiency. Imaging showed peribronchial and hilar soft tissue proliferation, and the patient was treated with steroid therapy and underwent interventional procedures. The symptoms and physical performance significantly improved, highlighting the importance of considering interventional options in the diagnosis and management of mediastinal diseases.
FRONTIERS IN CARDIOVASCULAR MEDICINE
(2023)
Article
Computer Science, Interdisciplinary Applications
Yanan Wu, Shouliang Qi, Meihuan Wang, Shuiqing Zhao, Haowen Pang, Jiaxuan Xu, Long Bai, Hongliang Ren
Summary: Transformer-based network with a channel-enhanced attention module is proposed for pulmonary vessel segmentation and artery-vein separation in non-contrast and contrast-enhanced CT images. The network utilizes a 3D contextual transformer module and a double attention module to achieve high-quality segmentation. Experimental results on in-house and challenge datasets demonstrate the effectiveness of the proposed method. The code is available at https://github.com/wuyanan513/Pulmonary-Vessel-Segmentation-and-Artery-vein-Separation.
MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
(2023)
Article
Biochemical Research Methods
Tae-Hoon Kim, David Le, Taeyoon Son, Xincheng Yao
Summary: This study used a custom-designed OCT for 3D imaging of mouse retina and revealed differences in vascular reflectance profiles and blood flow patterns between retinal artery and vein systems using OCTA, providing unique signatures for objective AV classification.
BIOMEDICAL OPTICS EXPRESS
(2021)
Article
Computer Science, Artificial Intelligence
Patricia Bota, Ana Fred, Joao Valente, Chen Wang, Hugo Placido da Silva
Summary: This study introduces a framework for automatically identifying the type of physiological data source through supervised learning, with applications in both online and offline settings. Experimental results demonstrate accuracy rates exceeding 92%, paving the way for the development of systems capable of automatically identifying sensor types and applying appropriate data processing workflows.
APPLIED SOFT COMPUTING
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Yousef Shahin, Samer Alabed, Dheyaa Alkhanfar, Juerg Tschirren, Alex M. K. Rothman, Robin Condliffe, James M. Wild, David G. Kiely, Andrew J. Swift
Summary: This study quantitatively analyzed CT pulmonary angiography to assess the volumes of peel pulmonary vessels and small pulmonary vessels in different subtypes of pulmonary hypertension (PH). The results showed that the volume of small pulmonary vessels is reduced in pulmonary arterial hypertension and PH associated with left heart disease, while the volume of peel vessels is similar to that of the control group. In patients with PH, the volume of small pulmonary vessels is correlated with pulmonary function tests.
Article
Agriculture, Dairy & Animal Science
Jorge Isidoro Matos, Alicia Caro-Vadillo, Yaiza Falcon-Cordon, Sara Nieves Garcia-Rodriguez, Noelia Costa-Rodriguez, Elena Carreton, Jose Alberto Montoya-Alonso
Summary: This study evaluated the effectiveness of the pulmonary vein to pulmonary artery ratio (PV:PA ratio) in detecting pulmonary hypertension (PH) caused by heartworms in dogs. The results showed that the PV:PA ratio can be used as a complementary diagnostic method to estimate the presence of moderate or severe PH in these patients.
Article
Cardiac & Cardiovascular Systems
Hiromasa Hayama, Masao Moroi, Satomi Adachi-Akahane, Tokuhisa Uejima, Hisao Hara, Yukio Hiroi
Summary: This study proposes a novel echocardiographic method to assess pulmonary wave reflected pressure and identify patients with pulmonary hypertension due to increased PVR. The method showed strong correlation with catheter hemodynamic indices and accurately detected an increase in PVR.
CIRCULATION JOURNAL
(2022)
Review
Radiology, Nuclear Medicine & Medical Imaging
Minhaj Nur Alam, David Le, Xincheng Yao
Summary: Quantitative retinal imaging is crucial for detecting, staging, and assessing treatment of eye diseases. Differential artery-vein analysis can enhance performance of retinal imaging by understanding how different eye diseases affect artery and vein systems. This article provides a brief overview of the technical rationale and clinical applications of differential AV analysis in fundus photography, OCT, and OCTA.
QUANTITATIVE IMAGING IN MEDICINE AND SURGERY
(2021)
Article
Multidisciplinary Sciences
Lu Wang, He Zhou, Nan Xu, Yuchan Liu, Xiran Jiang, Shu Li, Chaolu Feng, Hainan Xu, Kexue Deng, Jiangdian Song
Summary: Proposing a general segmentation approach for lung lesions in CT images, a cascaded dual-attention network with a context-aware pyramid feature extraction module was designed to address the limitations of generative adversarial networks and traditional morphology-based methods. The proposed model achieved promising results in segmenting multi-center pneumonia, lung nodule, and tuberculosis, with a high Dice coefficient and no significant decrease in accuracy even with a small training sample size.
Article
Critical Care Medicine
Stefanie E. Mason, Rafael Moreta-Martinez, Wassim W. Labaki, Matthew J. Strand, Elizabeth A. Regan, Jessica Bon, Ruben San Jose Estepar, Richard Casaburi, Merry-Lynn McDonald, Harry B. Rossiter, Barry Make, Mark T. Dransfield, MeiLan K. Han, Kendra Young, Jeffrey L. Curtis, Kathleen Stringer, Greg Kinney, John E. Hokanson, Raul San Jose Estepar, George R. Washko
Summary: The longitudinal loss of fat-free mass (FFM) is associated with increased all-cause mortality, regardless of initial body composition metrics, including BMI or muscle mass. This finding may improve risk stratification and identify novel therapeutic targets for patients with chronic obstructive pulmonary disease.
Article
Respiratory System
Jenna McNeill, Ariel Chernofsky, Matthew Nayor, Farbod N. Rahaghi, Raul San Jose Estepar, George Washko, Andrew Synn, Ramachandran S. Vasan, George O'Connor, Martin G. Larson, Jennifer E. Ho, Gregory D. Lewis
Summary: This study found an association between lower lung function and exercise capacity, as well as other parameters such as oxygen uptake efficiency and ventilatory efficiency. Additionally, lower pulmonary blood vessel volume was also associated with lower exercise capacity. These findings highlight the significance of lung function and blood vessel volume in overall exercise capacity.
EUROPEAN RESPIRATORY JOURNAL
(2022)
Article
Critical Care Medicine
Emily S. Wan, John E. Hokanson, Elizabeth A. Regan, Kendra A. Young, Barry J. Make, Dawn L. DeMeo, Stefanie E. Mason, Raul San Jose Estepar, James D. Crapo, Edwin K. Silverman
Summary: The study found that individuals with preserved ratio impaired spirometry (PRISm) often experience transitions in lung function, which are associated with both obstructive and normal spirometry.
Article
Cardiac & Cardiovascular Systems
Anne Bjerg Nielsen, Kristoffer Grundtvig Skaarup, Kasper Djernaes, Raphael Hauser, Raul San Jose Estepar, Samuel Kiil Sorensen, Martin Huth Ruwald, Morten Lock Hansen, Rene Husted Worck, Arne Johannessen, Jim Hansen, Tor Biering-Sorensen
Summary: This study found that left atrial deformation analysis by echocardiography may be useful in predicting the risk of ATA recurrence in patients undergoing CA for AF, even in those with a normal-sized LA.
INTERNATIONAL JOURNAL OF CARDIOLOGY
(2022)
Article
Multidisciplinary Sciences
David Bermejo-Pelaez, Raul San Jose Estepar, Maria Fernandez-Velilla, Carmelo Palacios Miras, Guillermo Gallardo Madueno, Mariana Benegas, Carolina Gotera Rivera, Sandra Cuerpo, Miguel Luengo-Oroz, Jacobo Sellares, Marcelo Sanchez, Gorka Bastarrika, German Peces Barba, Luis M. Seijo, Maria J. Ledesma-Carbayo
Summary: The study developed an AI system based on deep learning to automatically identify and quantify COVID-19 pneumonia patterns, and compared its predictive performance with human reader severity assessment and whole lung radiomics. The results showed that the AI system had a strong agreement with radiologists' severity scoring and could better predict clinically relevant outcomes compared to radiologists' interpretation and whole lung radiomics.
SCIENTIFIC REPORTS
(2022)
Article
Cardiac & Cardiovascular Systems
Wojciech R. Dolliver, Wei Wang, Pietro Nardelli, Farbod N. Rahaghi, Jose L. Orejas, Diego J. Maselli, Andrew Yen, Kendra Young, Gregory Kinney, Raul San Jose Estepar, Alejandro A. Diaz
Summary: This study found that loss of small pulmonary arteries is associated with the progression of bronchiectasis in smokers, and supports the role of vascular factors in the structural progression of bronchiectasis.
RESPIRATORY MEDICINE
(2022)
Article
Public, Environmental & Occupational Health
N. Rodriguez-Valero, M. J. Ledesma Carbayo, D. Camprubi-Ferrer, H. Marti-Soler, D. Cuadrado Sanchez, A. Vladimirov, M. J. Pinazo, A. Almuedo-Riera, A. Roman, I. Vera, M. Roldan, T. de Alba, A. Jimenez, Juan J. Gomez-Valverde, M. Luengo Oroz, J. Munoz
Summary: The study evaluated the usefulness of a Smartphone app called TRIP Doctor (R) in providing telemedicine to international travelers. Results showed that travelers using telemedicine usually traveled for longer periods of time and mainly contacted for mild symptoms like diarrhea, skin conditions, and fever which could be successfully solved by remote assistance with specialized doctors.
TRAVEL MEDICINE AND INFECTIOUS DISEASE
(2022)
Article
Biochemistry & Molecular Biology
Angel Arenal, Gonzalo R. Rios-Munoz, Alejandro Carta-Bergaz, Pablo M. Ruiz-Hernandez, Esther Perez-David, Veronica Crisostomo, Gerard Loughlin, Ricardo Sanz-Ruiz, Javier Fernandez-Portales, Alejandra Acosta, Claudia Baez-Diaz, Virginia Blanco-Blazquez, Maria J. Ledesma-Carbayo, Miriam Pareja, Maria E. Fernandez-Santos, Francisco M. Sanchez-Margallo, Javier G. Casado, Francisco Fernandez-Aviles
Summary: Clinical data suggest that cardiosphere-derived cells (CDCs) can modify post-infarction scar and ventricular remodeling, and reduce the incidence of ventricular tachycardia (VT). This study evaluated the effect of CDCs on VT substrate in a pig model of postinfarction monomorphic VT. The results showed that CDCs increased conduction velocity, prolonged action potential duration, decreased APD dispersion, and reduced fibrosis and myofibroblast density, while increasing connexin-43 density.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Alejandro A. Diaz, Pietro Nardelli, Wei Wang, Ruben San Jose Estepar, Andrew Yen, Seth Kligerman, Diego J. Maselli, Wojciech R. Dolliver, Andrew Tsao, Jose L. Orejas, Stefano Aliberti, Timothy R. Aksamit, Kendra A. Young, Gregory L. Kinney, George R. Washko, Edwin K. Silverman, Raul San Jose Estepar
Summary: An artificial intelligence-based CT method was used to assess bronchiectasis, and it was found that the airway-to-artery diameter ratio (AAR) was associated with exacerbations over time.
Article
Physiology
Alejandro Carta-Bergaz, Gonzalo R. Rios-Munoz, Veronica Crisostomo, Francisco M. Sanchez-Margallo, Maria J. Ledesma-Carbayo, Javier Bermejo-Thomas, Francisco Fernandez-Aviles, Angel Arenal-Maiz
Summary: Cardiosphere-derived cells (CDCs) can modify myocardial scarring, reduce epicardial electrical heterogeneity, and have anti-arrhythmic effects.
FRONTIERS IN PHYSIOLOGY
(2022)
Article
Computer Science, Interdisciplinary Applications
Lucilio Cordero-Grande, Juan Enrique Ortuno-Fisac, Alejandra Aguado del Hoyo, Alena Uus, Maria Deprez, Andres Santos, Joseph V. Hajnal, Maria J. Ledesma-Carbayo
Summary: In this paper, a deep generative prior and a diffeomorphic volume to slice registration method are proposed for robust volumetric reconstructions. Experiments on 72 fetal datasets show that our method outperforms existing techniques in improving image quality and accurately predicting gestational age.
IEEE TRANSACTIONS ON MEDICAL IMAGING
(2023)
Article
Microbiology
David Bermejo-Pelaez, Narda Medina, Elisa alamo, Juan Carlos Soto-Debran, Oscar Bonilla, Miguel Luengo-Oroz, Juan Luis Rodriguez-Tudela, Ana Alastruey-Izquierdo
Summary: This article presents a smartphone-based AI system that can automatically interpret and estimate the antigen concentration of CrAg LFA, which is highly valuable for diagnosing Cryptococcosis.
Letter
Critical Care Medicine
Gabrielle Y. Liu, Laura A. Colangelo, Raul San Jose Estepar, Anthony J. Esposito, Samuel Y. Ash, Bina Choi, David R. Jacobs, Mercedes R. Carnethon, George R. Washko, Ravi Kalhan
AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE
(2023)
Article
Medicine, General & Internal
Alejandro A. Diaz, Wei Wang, Jose L. Orejas, Rim Elalami, Wojciech R. Dolliver, Pietro Nardelli, Ruben San Jose Estepar, Bina Choi, Carrie L. Pistenmaa, James C. Ross, Diego J. Maselli, Andrew Yen, Kendra A. Young, Gregory L. Kinney, Michael H. Cho, Raul San Jose Estepar
Summary: This study found that suspected bronchiectasis is associated with an increased risk of mortality in adults with normal and obstructive spirometry. When using computed tomography (CT) to identify bronchiectasis, the difference in mortality risk was attenuated in participants with normal spirometry.
ANNALS OF INTERNAL MEDICINE
(2023)
Article
Respiratory System
Bina Choi, Raul San Jose Estepar, Suneeta Godbole, Jeffrey L. Curtis, Jennifer M. Wang, Ruben San Jose Estepar, Ivan O. Rosas, Jared R. Mayers, Brian D. Hobbs, Craig P. Hersh, Samuel Y. Ash, MeiLan K. Han, Russell P. Bowler, Kathleen A. Stringer, George R. Washko, Wassim W. Labaki
Summary: This study identified 85 metabolites significantly associated with QIA, involving pathways related to nicotinate and nicotinamide, histidine, starch and sucrose, pyrimidine, phosphatidylcholine, lysophospholipid, and sphingomyelin. Additionally, 75 metabolites were significantly different between QIA-predominant and emphysema-predominant phenotypes, including pathways related to phosphatidylethanolamine, nicotinate and nicotinamide, aminoacyl-tRNA, arginine, proline, alanine, aspartate, and glutamate. Metabolomic correlates may provide insights into the biological perturbations underlying clinically meaningful quantitative CT measurements like QIA in smokers.
RESPIRATORY RESEARCH
(2023)