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Development and validation of chest CT-based imaging biomarkers for early stage COVID-19 screening

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收录情况: ◇ SCIE ◇ SSCI

机构: [1]Wuhan Univ, Dept Pathol, Zhongnan Hosp, Wuhan, Peoples R China [2]Wuhan Univ, Dept Urol, Zhongnan Hosp, Wuhan, Peoples R China [3]Nanjing Med Univ, Sch Publ Hlth, Key Lab Modern Toxicol, Minist Educ, Nanjing, Peoples R China [4]Wuhan Univ, Wuhan Hosp 3, Dept Radiol, Tongren Hosp, Wuhan, Peoples R China [5]Wuhan Univ, Dept Emergency, Zhongnan Hosp, Wuhan, Peoples R China [6]Wuhan Univ, Dept Neurosurg, Zhongnan Hosp, Wuhan, Peoples R China [7]Hubei Univ Tradit Chinese Med, Hubei Prov Hosp Tradit Chinese Med, Hubei Inst Tradit Chinese Med, Affiliated Hosp, Wuhan, Peoples R China
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关键词: Coronavirus Disease 2019 (COVID-19) chest CT image artificial intelligence imaging biomarker biomedical imaging application multicentric retrospective study

摘要:
Coronavirus Disease 2019 (COVID-19) is currently a global pandemic, and early screening is one of the key factors for COVID-19 control and treatment. Here, we developed and validated chest CT-based imaging biomarkers for COVID-19 patient screening from two independent hospitals with 419 patients. We identified the vasculature-like signals from CT images and found that, compared to healthy and community acquired pneumonia (CAP) patients, COVID-19 patients display a significantly higher abundance of these signals. Furthermore, unsupervised feature learning led to the discovery of clinical-relevant imaging biomarkers from the vasculature-like signals for accurate and sensitive COVID-19 screening that have been double-blindly validated in an independent hospital (sensitivity: 0.941, specificity: 0.920, AUC: 0.971, accuracy 0.931, F1 score: 0.929). Our findings could open a new avenue to assist screening of COVID-19 patients.

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出版当年[2021]版:
大类 | 3 区 医学
小类 | 3 区 公共卫生、环境卫生与职业卫生
最新[2025]版:
大类 | 3 区 医学
小类 | 3 区 公共卫生、环境卫生与职业卫生
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出版当年[2020]版:
Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
最新[2023]版:
Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH

影响因子: 最新[2023版] 最新五年平均 出版当年[2020版] 出版当年五年平均 出版前一年[2019版] 出版后一年[2021版]

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第一作者机构: [1]Wuhan Univ, Dept Pathol, Zhongnan Hosp, Wuhan, Peoples R China [2]Wuhan Univ, Dept Urol, Zhongnan Hosp, Wuhan, Peoples R China
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