From community-acquired pneumonia to COVID-19: a deep learning-based method for quantitative analysis of COVID-19 on thick-section CT scans

European Radiology
Zhang LiYuling Tang

Abstract

To develop a fully automated AI system to quantitatively assess the disease severity and disease progression of COVID-19 using thick-section chest CT images. In this retrospective study, an AI system was developed to automatically segment and quantify the COVID-19-infected lung regions on thick-section chest CT images. Five hundred thirty-one CT scans from 204 COVID-19 patients were collected from one appointed COVID-19 hospital. The automatically segmented lung abnormalities were compared with manual segmentation of two experienced radiologists using the Dice coefficient on a randomly selected subset (30 CT scans). Two imaging biomarkers were automatically computed, i.e., the portion of infection (POI) and the average infection HU (iHU), to assess disease severity and disease progression. The assessments were compared with patient status of diagnosis reports and key phrases extracted from radiology reports using the area under the receiver operating characteristic curve (AUC) and Cohen's kappa, respectively. The dice coefficient between the segmentation of the AI system and two experienced radiologists for the COVID-19-infected lung abnormalities was 0.74 ± 0.28 and 0.76 ± 0.29, respectively, which were close to the inter-obse...Continue Reading

References

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May 1, 2010·Journal of Cardiovascular Computed Tomography·Stephan AchenbachMohamed Marwan
Feb 20, 2020·Radiology·Yicheng FangWenbin Ji
Mar 30, 2021·Radiology. Cardiothoracic Imaging·Lei TangXianchun Zeng
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Apr 24, 2020·MedRxiv : the Preprint Server for Health Sciences·S. WangBo Xu

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Citations

Dec 17, 2020·Therapeutics and Clinical Risk Management·Qingcheng MengZiqiao Lei
Dec 5, 2020·Healthcare·Krzysztof LaudanskiCassie Solomon
Mar 20, 2021·European Radiology·Jin-Cao YaoYa-Qing Li
May 11, 2021·Physica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)·Martina MoriClaudio Fiorino
Jun 4, 2021·Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society·Mustafa Alhasan, Mohamed Hasaneen
Jun 28, 2021·Computers in Biology and Medicine·Shahabedin NabaviHamidreza Saligheh Rad
Jul 3, 2021·Diagnostics·Andras MesterTheodora Benedek
Jul 8, 2021·IET Image Processing·Emrah Irmak
Aug 18, 2021·PeerJ. Computer Science·Hammam AlshazlyThomas Martinetz

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Software Mentioned

SAS
UNet
Matlab

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