C
Chenao Zhan
Researcher at Huazhong University of Science and Technology
Publications - 9
Citations - 5210
Chenao Zhan is an academic researcher from Huazhong University of Science and Technology. The author has contributed to research in topics: Medicine & Breast cancer. The author has an hindex of 3, co-authored 6 publications receiving 3839 citations.
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Journal ArticleDOI
Correlation of Chest CT and RT-PCR Testing for Coronavirus Disease 2019 (COVID-19) in China: A Report of 1014 Cases.
Tao Ai,Zhenlu Yang,Hongyan Hou,Chenao Zhan,Chong Chen,Wen-Zhi Lv,Qian Tao,Ziyong Sun,Liming Xia +8 more
TL;DR: Chest CT has a high sensitivity for diagnosis of CO VID-19 and may be considered as a primary tool for the current COVID-19 detection in epidemic areas, as well as for patients with multiple RT-PCR assays.
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Cardiac Involvement in Patients Recovered From COVID-2019 Identified Using Magnetic Resonance Imaging.
Lu Huang,Peijun Zhao,Dazhong Tang,Tong Zhu,Rui Han,Chenao Zhan,Weiyong Liu,Hesong Zeng,Qian Tao,Liming Xia +9 more
TL;DR: Cardiac involvement was found in a proportion of the recovered COVID-19 patients and attention should be paid to the possible myocardial involvement in recovered COIDs patients with cardiac symptoms.
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Chest CT findings related to mortality of patients with COVID-19: A retrospective case-series study.
TL;DR: Chest CT findings and laboratory test results were worsening in patients who died of COVID-19, with moderate positive correlations between CT severity scores and inflammation-related factors of leucocytes, neutrophils, and IL-2R.
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Accelerating acquisition of readout-segmented echo planar imaging with a simultaneous multi-slice (SMS) technique for diagnosing breast lesions
TL;DR: Applying the SMS technique can significantly reduce the acquisition time and produce similar diagnostic accuracy while generating comparable image quality as the conventional rs-EPI with shorter scan time.
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Prediction of Axillary Lymph Node Metastasis in Breast Cancer using Intra-peritumoral Textural Transition Analysis based on Dynamic Contrast-enhanced Magnetic Resonance Imaging.
TL;DR: Wang et al. as discussed by the authors explored the feasibility of Ipris analysis for the preoperative prediction of axillary lymph node (ALN) status in patients with breast cancer based on dynamic contrastenhanced magnetic resonance imaging.