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Multi-Contrast Chest Radiography (MC-CXR) for COVID-19 Diagnosis and Screening

Multi-Contrast Chest Radiography (MC-CXR) for COVID-19 Diagnosis and Screening
用于 COVID-19 诊断和筛查的多重对比胸部 X 光检查 (MC-CXR)
批准号:
10160566
负责人:
Guang-Hong Chen
金额:
$40.44万
依托单位国家:
美国
项目类别:
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-07-08 至 2021-07-07

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中文摘要
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英文摘要
Abstract As of 4/30/2020, the Coronavirus Disease 2019 (COVID-19) has infected more than one million people and caused 60,057 deaths in the United States. Neither the clinical symptoms nor the radiological features of COVID- 19 are specific to the disease, resulting in significant challenges to the screening and early diagnosis of this highly infectious disease. The current gold standard method for COVID-19 diagnosis, the reverse transcriptase polymerase chain reaction (RT-PCR) test, has a relatively long turnaround time. Chest x-ray radiography (CXR) has been widely used in the United States for COVID-19 assessment since the first case reported in the US. However, the major challenge with the use of CXR is its low sensitivity and specificity to COVID-19, which is largely attributed to the lack of x-ray absorption contrast sensitivity to mild alveolar damages in the early phases of COVID-19. In this Emergency Competitive Revision, we offer a quick response to the imperative clinical need to improve the diagnostic accuracy of CXR to COVID-19 by leveraging the multi-contrast x-ray imaging technology developed in our ongoing R01 project (EB020521). In particular, the x-ray dark field contrast mechanism is orders of magnitude more sensitive to partial fillings or collapses of alveoli and thus is expected to offer a significant boost to CXR’s sensitivity to alveolar damage. We will quickly construct a multi-contrast chest x-ray radiography (MC-CXR) system, characterize its physical performance, evaluate its radiation safety, and optimize its scan protocols. Finally, we will conduct a pilot human subject study to collect initial evidence for its clinical value in diagnosing COVID-19. Considering the high likelihood for a second wave of COVID-19, the availability of the proposed MC-CXR system can facilitate the hospital systems to cope with additional rounds of patient surge by providing rapid “entrance” assessment of COVID-19.
期刊论文(16)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1088/1361-6560/aab9c9
发表时间: 2018-05-01
期刊: Physics in medicine and biology
影响因子: 3.5
作者: [Ji X, Zhang R, Chen GH, Li K]
通讯作者: Li K
Analogous Lubberts effect in photon counting detectors.
光子计数探测器中的类似鲁伯特效应。
DOI: 10.1117/12.2549785
发表时间: 2020
期刊: Proceedings of SPIE--the International Society for Optical Engineering
影响因子: --
作者: [Li,Ke]
通讯作者: Li,Ke
DOI: 10.1117/12.2216322
发表时间: 2016-03
期刊:
影响因子: --
作者: [Ran Zhang;Bin Qin;Yongshuai Ge;B. Whiting;Ke Li;F. Villanueva;Guang-Hong Chen]
通讯作者: Ran Zhang;Bin Qin;Yongshuai Ge;B. Whiting;Ke Li;F. Villanueva;Guang-Hong Chen
DOI: 10.1002/mp.13984
发表时间: 2020-03
期刊: Medical physics
影响因子: 3.8
作者: [Ji X, Zhang R, Li K, Chen GH]
通讯作者: Chen GH
12
    Next Generation Cone Beam CT with Improved Contrast Resolution and Added Spectral Imaging Functionality
    • 批准号:
      10660754
    • 项目类别:
    • 资助金额:
      $60.82万
    • 财政年份:
      2023
    • 负责人:
      Guang-Hong Chen
    • 依托单位:
    Clinical Translation of a One-Stop-Shop Imaging Method for Abdominal CT
    • 批准号:
      10522078
    • 项目类别:
    • 资助金额:
      $62.23万
    • 财政年份:
      2022
    • 负责人:
      Guang-Hong Chen
    • 依托单位:
    Clinical Translation of a One-Stop-Shop Imaging Method for Abdominal CT
    • 批准号:
      10686103
    • 项目类别:
    • 资助金额:
      $60.18万
    • 财政年份:
      2022
    • 负责人:
      Guang-Hong Chen
    • 依托单位:
    Functional Lung Imaging Using a Single kV CT Acquisition
    • 批准号:
      10436306
    • 项目类别:
    • 资助金额:
      $75.96万
    • 财政年份:
      2021
    • 负责人:
      Guang-Hong Chen
    • 依托单位:
    海外基金