Chen Xia
7 Papers
19 Citations
Chen Xia is an academic researcher. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 2, co-authored 2 publications.
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Papers
Positive RT-PCR Test Results in Patients Recovered From COVID-19.
TL;DR: This case series describes reverse transcriptase–polymerase chain reaction (RT-PCR) test results in 4 health professionals discharged from hospitalization or quarantine after 2 negative RT- PCR test results and resolution of clinical COVID-19 infection.
Positive RT-PCR Test Results in Patients Recovered From COVID-19.
Lan Lan,Dan Xu,Guangming Ye,Chen Xia,Shaokang Wang,Yirong Li,Haibo Xu +6 more
- 27 Feb 2020
TL;DR: RT-PCR test results remain positive in some recovered COVID-19 patients, highlighting the potential for viral shedding and the need for continued monitoring and infection control measures.
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Early CT Findings of Coronavirus Disease 2019 (COVID-19) in Asymptomatic Children: A Single-Center Experience.
TL;DR: Small patches of ground-glass opacity with subpleural distribution and unilateral lung involvement were common findings on CT scans of pediatric patients in the early stage of the disease.
MRI-derived radiomics analysis improves the noninvasive pretreatment identification of multimodality therapy candidates with early-stage cervical cancer
Yuan Li,Jing Ren,Junjun Yang,Ying Cao,Chen Xia,Elaine Yp Lee,Bo Chen,Hui Guan,Yafei Qi,Xin Gao,Wenfei Tang,Kuan Chen,Zhengyu Jin,Yong-lan He,Yang Xiang,Huadan Xue +15 more
TL;DR: The clinical-radiomics model and nomogram can potentially identify multimodality therapy candidates in patients with early-stage cervical cancer and demonstrates a better prediction performance compared with the clinical model and the clinical-conventional radiological model.
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MRI-based radiomics analysis improves preoperative diagnostic performance for the depth of stromal invasion in patients with early stage cervical cancer
Jing Ren,Yuan Li,Junjun Yang,Jia Zhao,Yang Xiang,Chen Xia,Ying Cao,Bo Chen,Hui Guan,Yafei Qi,Wenfei Tang,Kuan Chen,Yong-lan He,Zhengyu Jin,Huadan Xue +14 more
TL;DR: In this paper , the authors developed and validated a T2-weighted imaging (T2WI)-based radiomics model and explore independent risk factors (factors with statistical significance in both univariate and multivariate analyses) of middle or deep stromal invasion in early stage cervical cancer.