Article
Radiology, Nuclear Medicine & Medical Imaging
Marie-Pierre Debray, Helena Tarabay, Lisa Males, Nisrine Chalhoub, Elyas Mahdjoub, Thomas Pavlovsky, Benoit Visseaux, Donia Bouzid, Raphael Borie, Catherine Wackenheim, Bruno Crestani, Christophe Rioux, Loukbi Saker, Christophe Choquet, Jimmy Mullaert, Antoine Khalil
Summary: The study assessed the interobserver agreement and clinical significance of chest CT reporting in patients suspected of COVID-19, showing good agreement between observers. Among patients suspected of COVID-19, CT categorized as evocative is highly predictive of COVID-19, while the predictive value decreases between the categories compatible and not evocative.
EUROPEAN RADIOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Qi Li, Xing-Tao Huang, Chun-Hua Li, Dan Liu, Fa-Jin Lv
Summary: The study indicates that the vascular enlargement (VE) pattern in the CT findings of COVID-19 is a valuable sign that can help differentiate COVID-19 from influenza virus pneumonia. In COVID-19 patients, the VE pattern is more common in larger lesions and patients with severe-critical type.
EUROPEAN JOURNAL OF RADIOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Tingting Zhang, Xiao Li, Xiang Ji, Jianping Lu, Xu Fang, Yun Bian
Summary: The study investigated the association between longitudinal total pulmonary infection volume and volume ratio over time and clinical types in COVID-19 pneumonia patients. Propensity score analysis was used to match severe patients to moderate patients and balance baseline clinical and imaging variables. The results showed that total pulmonary infection volume and volume ratio were significantly associated with clinical types, with the severe group experiencing a higher increase over time compared to the moderate group.
EUROPEAN RADIOLOGY
(2021)
Article
Medicine, General & Internal
Shuyi Liu, Huanchu Yuan, Bin Zhang, Wei Li, Jingjing You, Jing Liu, Qingyang Zhong, Lu Zhang, Luyan Chen, Shaolin Li, Yujian Zou, Shuixing Zhang
Summary: Patients in the familial cluster group with COVID-19 pneumonia had a worse clinical course and outcome compared to those in the non-familial group, requiring close monitoring and follow-ups.
FRONTIERS IN MEDICINE
(2021)
Article
Medicine, General & Internal
Pan Liang, Rui Wang, Xiu-chun Ren, Wen-peng Huang, Jian-bo Gao
Summary: This study analyzed the CT manifestations and clinical features of 22 patients with COVID-19 pneumonia. The main symptoms included fever and cough, with most patients being male. CT scans showed special manifestations that changed as the disease progressed or resolved.
Article
Radiology, Nuclear Medicine & Medical Imaging
Lu Wang, Brendan Kelly, Edward H. Lee, Hongmei Wang, Jimmy Zheng, Wei Zhang, Safwan Halabi, Jining Liu, Yulong Tian, Baoqin Han, Chuanbin Huang, Kristen W. Yeom, Kexue Deng, Jiangdian Song
Summary: The study investigated the efficacy of radiomics in diagnosing patients with COVID-19 and other types of viral pneumonia with similar symptoms. Various classifiers were used to identify radiomic features significantly associated with COVID-19 pneumonia classification. The LASSO classifier performed best in distinguishing between SARS-CoV-2 positive and negative patients.
EUROPEAN JOURNAL OF RADIOLOGY
(2021)
Article
Computer Science, Artificial Intelligence
Ali Abbasian Ardakani, Robert M. Kwee, Mohammad Mirza-Aghazadeh-Attari, Horacio Matias Castro, Taha Yusuf Kuzan, Kubra Murzoglu Altintoprak, Giulia Besutti, Filippo Monelli, Fariborz Faeghi, U. Rajendra Acharya, Afshin Mohammadi
Summary: This study validated a clinical AI system, COVIDiag, to aid radiologists in accurate and rapid evaluation of COVID-19 cases. The system demonstrated consistent optimal diagnostic performance on multinational databases, which is critical to determine the generalizability and objectivity of the proposed COVIDiag model.
PATTERN RECOGNITION LETTERS
(2021)
Article
Medicine, General & Internal
Yeon Joo Jeong, Bo Da Nam, Jin Young Yoo, Kun-Il Kim, Hee Kang, Jung Hwa Hwang, Yun-Hyeon Kim, Kyung Soo Lee
Summary: This study found that chest CT findings of COVID-19 pneumonia can be classified into different patterns, with patients in the DAD pattern showing higher severity. Elevated inflammatory markers and higher CT scores were significant predictors of poor prognosis in patients with COVID-19 pneumonia.
JOURNAL OF KOREAN MEDICAL SCIENCE
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Liang Li, Li Wang, Feifei Zeng, Gongling Peng, Zan Ke, Huan Liu, Yunfei Zha
Summary: A radiomics nomogram was developed and validated for timely prediction of severe COVID-19 pneumonia, showing good calibration and discrimination in training, validation, and testing cohorts. The CT-based radiomics model outperformed clinical factors and quantitative CT model alone in terms of discrimination capability and clinical usefulness, providing favorable predictive efficacy for severe COVID-19.
EUROPEAN RADIOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Ali H. Elmokadem, Ahmad M. Mounir, Zainab A. Ramadan, Mahmoud Elsedeiq, Gehad A. Saleh
Summary: This study compared the diagnostic performance and inter-observer agreement of different CT chest severity scoring systems for COVID-19, and found that CT-SS and TSS had the highest specificity and shortest interpretation time.
EUROPEAN RADIOLOGY
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Yilong Huang, Zhenguang Zhang, Siyun Liu, Xiang Li, Yunhui Yang, Jiyao Ma, Zhipeng Li, Jialong Zhou, Yuanming Jiang, Bo He
Summary: The study assessed the classification performance of CT signs and radiomics features in distinguishing COVID-19 and influenza pneumonia, with the combined model demonstrating better discrimination performance than the single radiomics model. The combination of CT signs and radiomics features showed high accuracy in distinguishing between COVID-19 and influenza pneumonia.
BMC MEDICAL IMAGING
(2021)
Article
Medicine, General & Internal
Peter Horby, Wei Shen Lim, Jonathan R. Emberson, Marion Mafham, Jennifer L. Bell, Louise Linsell, Natalie Staplin, Christopher Brightling, Andrew Ustianowski, Einas Elmahi, Benjamin Prudon, Christopher Green, Timothy Felton, David Chadwick, Kanchan Rege, Christopher Fegan, Lucy C. Chappell, Saul N. Faust, Thomas Jaki, Katie Jeffery, Alan Montgomery, Kathryn Rowan, Edmund Juszczak, J. Kenneth Baillie, Richard Haynes, Martin J. Landray
Summary: In patients hospitalized with Covid-19, the use of dexamethasone resulted in lower 28-day mortality among those who were receiving either invasive mechanical ventilation or oxygen alone at randomization but not among those receiving no respiratory support.
NEW ENGLAND JOURNAL OF MEDICINE
(2021)
Article
Multidisciplinary Sciences
Wentao Zhao, Wei Jiang, Xinguo Qiu
Summary: COVID-19 has had a significant impact globally, with CT images proving to complement RT-PCR testing. The study employed a convolutional neural network for COVID-19 testing and found that larger, out-of-field datasets improve model performance. Transfer learning approach was more successful than current methods, achieving state-of-the-art performance in identification.
SCIENTIFIC REPORTS
(2021)
Article
Computer Science, Artificial Intelligence
Tej Bahadur Chandra, Kesari Verma, Bikesh Kumar Singh, Deepak Jain, Satyabhuwan Singh Netam
Summary: This study introduces an automatic COVID screening (ACoS) system for identifying nCOVID-19 infected patients, which utilizes radiomic texture descriptors and a majority vote based classifier ensemble of five benchmark supervised classification algorithms. The system shows promising performance in the validation phase, with statistically significant results confirmed through Friedman post-hoc multiple comparisons and z-test statistics.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Ali Abbasian Ardakani, U. Rajendra Acharya, Sina Habibollahi, Afshin Mohammadi
Summary: The study proposed a clinical computer-aided diagnosis (CAD) system using CT features to automatically discriminate COVID-19 from non-COVID-19 pneumonia patients. The CAD system achieved high sensitivity, specificity, and accuracy in classifying COVID-19 and non-COVID-19 cases, making it a promising adjunct tool for accurate diagnosis during the current COVID-19 pandemic.
EUROPEAN RADIOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Biao Li, Yu-Xin Liu, Hai-Jun Li, Qing Yuan, Pei-Wen Zhu, Lei Ye, Ting Su, Wen-Qing Shi, Qi Lin, You-Lan Min, Xiao-Wei Xu, Yi Shao
Article
Neuroimaging
Haijun Li, Huizhen Xin, Jingjing Yu, Honghui Yu, Juan Zhang, Wenjing Wang, Dechang Peng
BRAIN IMAGING AND BEHAVIOR
(2020)
Article
Neuroimaging
Jingjing Yu, Wenjing Wang, Dechang Peng, Juan Luo, Huizhen Xin, Honghui Yu, Juan Zhang, Lan Li, Haijun Li
Summary: Abnormal local spontaneous brain activity has been observed in patients with chronic obstructive pulmonary disease (COPD) during the resting state. The study explored intrinsic neural activity changes in different frequency bands, demonstrating that COPD patients exhibited more widespread alterations in intrinsic brain activity in the slow-5 band than in the slow-4 band. Furthermore, the abnormal intrinsic brain activity in different frequency bands was associated with PaCO(2) in COPD patients.
BRAIN IMAGING AND BEHAVIOR
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Kunwei Li, Kunfeng Liu, Mingzhu Liang, Peixin Qin, Haijun Li, Rongguo Zhang, Shaolin Li, Xueguo Liu
Summary: This study evaluated the accuracy of an AI-driven commercial CAD product in malignancy risk prediction, finding that it is very high for primary lung cancers but poor for metastases and benign lesions. Residents with experience in radiology performed better at risk prediction compared to the AI product.
QUANTITATIVE IMAGING IN MEDICINE AND SURGERY
(2021)
Article
Neurosciences
Linghong Kong, Haijun Li, Yongqiang Shu, Xiang Liu, Panmei Li, Kunyao Li, Wei Xie, Yaping Zeng, Dechang Peng
Summary: The study explored the functional connectivity between insular subregions and other brain areas in patients with obstructive sleep apnea (OSA) and its relationship with clinical symptoms. The results showed that OSA patients exhibited abnormal functional connectivity in the insular subregions, which were related to cognitive, emotional, and sensorimotor networks. These findings provide a new imaging perspective for understanding OSA-related cognitive and affective disorders.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Clinical Neurology
Haijun Li, Lan Li, Linghong Kong, Panmei Li, Yaping Zeng, Kunyao Li, Wei Xie, Yongqiang Shu, Xiang Liu, Dechang Peng
Summary: This study found frequency-related abnormalities of brain activity in OSA patients before and after short-term CPAP treatment. These abnormalities may serve as potential biomarkers for clinical CPAP treatment.
NATURE AND SCIENCE OF SLEEP
(2021)
Article
Geriatrics & Gerontology
Ang Xiao, Hai-Jun Li, Qiu-Yu Li, Rong-Bin Liang, Hui-Ye Shu, Qian-Min Ge, Xu-Lin Liao, Yi-Cong Pan, Jie-Li Wu, Ting Su, Li-Juan Zhang, Qiong Zhou, Yi Shao
Summary: This study investigated changes in functional connectivity (FC) in AMD patients using resting-state functional magnetic resonance imaging (rs-fMRI). The results showed abnormalities in FC in several specific cerebral regions in AMD patients compared to healthy controls.
FRONTIERS IN AGING NEUROSCIENCE
(2022)
Article
Clinical Neurology
Panmei Li, Yongqiang Shu, Xiang Liu, Linghong Kong, Kunyao Li, Wei Xie, Yaping Zeng, Haijun Li, Dechang Peng
Summary: This study aimed to investigate the changes in brain networks in patients with obstructive sleep apnea (OSA) before and after continuous positive airway pressure (CPAP) treatment. The results showed that CPAP treatment can reverse the brain network damage caused by OSA, providing potential neuroimaging biomarkers for evaluating CPAP treatment.
FRONTIERS IN NEUROLOGY
(2022)
Article
Geriatrics & Gerontology
Fuqiu Tang, Lan Li, Dechang Peng, Jingjing Yu, Huizhen Xin, Xuan Tang, Kunyao Li, Yaping Zeng, Wei Xie, Haijun Li
Summary: This study aimed to explore the changes in dynamic functional network attributes and their relationship with cognitive impairment in stable COPD patients. The results revealed significant differences in sFNC and dFNC between COPD patients and healthy controls, and these measures were significantly correlated with some clinical indicators. These findings provide a new perspective for understanding the cognitive neural mechanisms in COPD patients.
FRONTIERS IN AGING NEUROSCIENCE
(2022)
Article
Geriatrics & Gerontology
Haijun Li, Lan Li, Kunyao Li, Panmei Li, Wei Xie, Yaping Zeng, Linghong Kong, Ting Long, Ling Huang, Xiang Liu, Yongqiang Shu, Li Zeng, Dechang Peng
Summary: The purpose of this study was to investigate the relationship between dynamic functional network connectivity (FNC) and cognitive function in obstructive sleep apnea (OSA) patients. The study found that OSA patients showed abnormal dynamic FNC properties, which was a continuous trend from normal cognition to mild cognitive impairment. OSA patients also showed abnormal dynamic functional connectivity strength. The number of transitions was associated with cognitive impairment in OSA-MCI patients.
FRONTIERS IN AGING NEUROSCIENCE
(2022)
Article
Neurosciences
Kunyao Li, Yongqiang Shu, Xiang Liu, Wei Xie, Panmei Li, Linghong Kong, Pengfei Yu, Yaping Zeng, Ling Huang, Ting Long, Li Zeng, Haijun Li, Dechang Peng
Summary: This study found that abnormal local brain activity in patients with obstructive sleep apnea (OSA) was associated with cognitive impairment. Using dynamic functional connections, the study identified dynamic changes in specific brain regions that can distinguish OSA patients from healthy controls.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Neurosciences
Yongqiang Shu, Liting Chen, Kunyao Li, Haijun Li, Linghong Kong, Xiang Liu, Panmei Li, Wei Xie, Yaping Zeng, Dechang Peng
Summary: This study aimed to investigate the temporal variability of spontaneous brain activity in patients with obstructive sleep apnea (OSA). The results showed that OSA patients with and without mild cognitive impairment (MCI) have different dynamic brain functions, suggesting the presence of variable intermediate states in OSA patients without MCI. The study also found that the functional abnormalities of the cerebellar-prefrontal cortex pathway in OSA patients may cause cognitive impairment.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Neurosciences
Ting Long, Haijun Li, Yongqiang Shu, Kunyao Li, Wei Xie, Yaping Zeng, Ling Huang, Li Zeng, Xiang Liu, Dechang Peng
Summary: This study investigated the changes in functional connectivity between the insular subregions and whole brain in obstructive sleep apnea (OSA) patients after 6 months of continuous positive airway pressure (CPAP) treatment, and explored the relationship between these changes and cognitive impairment. Data from 15 OSA patients before and after 6 months of CPAP treatment were analyzed. The results showed increased functional connectivity between specific insular subregions and various brain regions after CPAP treatment. These changes provide insights into the neuroimaging mechanisms underlying cognitive dysfunction and emotional impairment in OSA patients and can potentially be used as biomarkers for clinical CPAP treatment.