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Article ; Online: Radiomics Is Effective for Distinguishing Coronavirus Disease 2019 Pneumonia From Influenza Virus Pneumonia.

Lin, Liaoyi / Liu, Jinjin / Deng, Qingshan / Li, Na / Pan, Jingye / Sun, Houzhang / Quan, Shichao

2021 Volume 9, Page(s) 663965

Abstract: Objectives: ...

Abstract	Objectives:
MeSH term(s)	COVID-19 ; Humans ; Orthomyxoviridae ; Retrospective Studies ; SARS-CoV-2 ; Tomography, X-Ray Computed
Language	English
Publishing date	2021-06-15
Publishing country	Switzerland
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2711781-9
ISSN	2296-2565 ; 2296-2565
ISSN (online)	2296-2565
ISSN	2296-2565
DOI	10.3389/fpubh.2021.663965
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Article ; Online: Coronary artery-bronchial artery fistula imaging characteristics and its correlation with pulmonary disease severity.

Chen, Yonghua / Lin, Liaoyi / Deng, Qingshan / Li, Na / Wang, Zhenzhang / Liu, Jinjin / Sun, Houzhang

Heart and vessels

2022 Volume 37, Issue 12, Page(s) 2101–2106

Abstract: Hemoptysis is a common clinical emergency, bronchial arterial embolization is considered to be an effective treatment. The presence of coronary artery-bronchial artery fistula (CBF) may lead to recurrence of hemoptysis after treatment. It is necessary to ...

Abstract	Hemoptysis is a common clinical emergency, bronchial arterial embolization is considered to be an effective treatment. The presence of coronary artery-bronchial artery fistula (CBF) may lead to recurrence of hemoptysis after treatment. It is necessary to investigate the imaging characteristics of a CBF and its correlation with the severity of pulmonary disease. With the development of multi-detector computed tomography, our study used the 320-slice CT bronchial artery angiography technology to observe and visualize blood vessels. The image and clinical data of 2015 hemoptysis patients with 320-slice CT bronchial artery angiography were retrospectively reviewed from January 2015 to December 2019. The axial and three-dimensional CT images were analyzed. The incidence, anatomical characteristics of CBF and pulmonary disease severity score were evaluated. A total of 12 CBF vessels were detected in 11 patients. We found that the incidence of CBF in this group was 0.55% (11/2015). Mean CBF diameter was 1.9 mm (1.2-2.5 mm). The course of CBF usually was relatively fixed. The proportions of CBF originated from the left circumflex artery, right coronary artery, and left anterior descending artery were 75%, 16.7% and 8.3%, respectively. Preliminarily analysis of the correlation between the trend of CBF and the pulmonary diseases severity score showed that CBF was more likely to communicate with a bronchial artery on the side with a higher severity score. CBF may occur in patients with chronic pulmonary disease and hemoptysis, and its origin, course and trend are characteristic. Detailed and comprehensive computed tomography angiography image analysis is helpful to improve the clinical treatment of hemoptysis with CBF.
MeSH term(s)	Humans ; Bronchial Arteries/diagnostic imaging ; Hemoptysis/diagnosis ; Hemoptysis/etiology ; Hemoptysis/therapy ; Coronary Vessels/diagnostic imaging ; Retrospective Studies ; Multidetector Computed Tomography ; Lung Diseases/complications ; Lung Diseases/therapy ; Embolization, Therapeutic ; Fistula/complications ; Fistula/therapy ; Pulmonary Artery/diagnostic imaging
Language	English
Publishing date	2022-06-21
Publishing country	Japan
Document type	Journal Article
ZDB-ID	89678-0
ISSN	1615-2573 ; 0910-8327 ; 0935-736X
ISSN (online)	1615-2573
ISSN	0910-8327 ; 0935-736X
DOI	10.1007/s00380-022-02106-y
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Article ; Online: Radiomics Is Effective for Distinguishing Coronavirus Disease 2019 Pneumonia From Influenza Virus Pneumonia

Liaoyi Lin / Jinjin Liu / Qingshan Deng / Na Li / Jingye Pan / Houzhang Sun / Shichao Quan

Frontiers in Public Health, Vol

2021 Volume 9

Abstract: Objectives: To develop and validate a radiomics model for distinguishing coronavirus disease 2019 (COVID-19) pneumonia from influenza virus pneumonia.Materials and Methods: A radiomics model was developed on the basis of 56 patients with COVID-19 ... ...

Abstract	Objectives: To develop and validate a radiomics model for distinguishing coronavirus disease 2019 (COVID-19) pneumonia from influenza virus pneumonia.Materials and Methods: A radiomics model was developed on the basis of 56 patients with COVID-19 pneumonia and 90 patients with influenza virus pneumonia in this retrospective study. Radiomics features were extracted from CT images. The radiomics features were reduced by the Max-Relevance and Min-Redundancy algorithm and the least absolute shrinkage and selection operator method. The radiomics model was built using the multivariate backward stepwise logistic regression. A nomogram of the radiomics model was established, and the decision curve showed the clinical usefulness of the radiomics nomogram.Results: The radiomics features, consisting of nine selected features, were significantly different between COVID-19 pneumonia and influenza virus pneumonia in both training and validation data sets. The receiver operator characteristic curve of the radiomics model showed good discrimination in the training sample [area under the receiver operating characteristic curve (AUC), 0.909; 95% confidence interval (CI), 0.859–0.958] and in the validation sample (AUC, 0.911; 95% CI, 0.753–1.000). The nomogram was established and had good calibration. Decision curve analysis showed that the radiomics nomogram was clinically useful.Conclusions: The radiomics model has good performance for distinguishing COVID-19 pneumonia from influenza virus pneumonia and may aid in the diagnosis of COVID-19 pneumonia.
Keywords	COVID-19 ; influenza ; nomogram ; radiomics ; computed tomography ; Public aspects of medicine ; RA1-1270
Subject code	600
Language	English
Publishing date	2021-06-01T00:00:00Z
Publisher	Frontiers Media S.A.
Document type	Article ; Online
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Article ; Online: CT Manifestations of Coronavirus Disease (COVID-19) Pneumonia and Influenza Virus Pneumonia: A Comparative Study.

Lin, Liaoyi / Fu, Gangze / Chen, Shuangli / Tao, Jiejie / Qian, Andan / Yang, Yunjun / Wang, Meihao

AJR. American journal of roentgenology

2020 Volume 216, Issue 1, Page(s) 71–79

Abstract: OBJECTIVE. ...

Abstract	OBJECTIVE.
MeSH term(s)	Adolescent ; Adult ; Aged ; Artificial Intelligence ; COVID-19/diagnostic imaging ; COVID-19/virology ; Diagnosis, Differential ; Female ; Humans ; Influenza, Human/diagnostic imaging ; Influenza, Human/virology ; Male ; Middle Aged ; Pneumonia, Viral/diagnostic imaging ; Pneumonia, Viral/virology ; Radiographic Image Interpretation, Computer-Assisted ; Radiography, Thoracic ; Retrospective Studies ; SARS-CoV-2 ; Tomography, X-Ray Computed/methods
Keywords	covid19
Language	English
Publishing date	2020-07-09
Publishing country	United States
Document type	Comparative Study ; Journal Article
ZDB-ID	82076-3
ISSN	1546-3141 ; 0361-803X ; 0092-5381
ISSN (online)	1546-3141
ISSN	0361-803X ; 0092-5381
DOI	10.2214/AJR.20.23304
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Article ; Online: Arc concave sign on thin-section computed tomography：A novel predictor for invasive pulmonary adenocarcinoma in pure ground-glass nodules.

Fu, Gangze / Yu, Huibo / Liu, Jinjin / Xia, Tianyi / Xiang, Lanting / Li, Peng / Huang, Dingpin / Lin, Liaoyi / Zhuang, Yuandi / Yang, Yunjun

European journal of radiology

2021 Volume 139, Page(s) 109683

Abstract: Objective: We aimed to investigate the risk factors of invasive pulmonary adenocarcinoma, especially to report and validate the use of our newly identified arc concave sign in predicting invasiveness of pure ground-glass nodules (pGGNs).: Methods: ... ...

Abstract	Objective: We aimed to investigate the risk factors of invasive pulmonary adenocarcinoma, especially to report and validate the use of our newly identified arc concave sign in predicting invasiveness of pure ground-glass nodules (pGGNs). Methods: From January 2015 to August 2018, we retrospectively enrolled 302 patients with 306 pGGNs ≤ 20 mm pathologically confirmed (141 preinvasive lesions and 165 invasive lesions). Arc concave sign was defined as smooth and sunken part of the edge of the lesion on thin-section computed tomography (TSCT). The degree of arc concave sign was expressed by the arc chord distance to chord length ratio (AC-R); deep arc concave sign was defined as AC-R larger than the optimal cut-off value. Logistic regression analysis was used to identify the independent risk factors of invasiveness. Results: Arc concave sign was observed in 65 of 306 pGGNs (21.2 %), and deep arc concave sign (AC-R > 0.25) were more common in invasive lesions (P = 0.008). Under microscope, interlobular septal displacements were found at tumour surface. Multivariate analysis indicated that irregular shape (OR, 3.558; CI: 1.374-9.214), presence of deep arc concave sign (OR, 3.336; CI: 1.013-10.986), the largest diameter > 10.1 mm (OR, 4.607; CI: 2.584-8.212) and maximum density > -502 HU (OR, 6.301; CI: 3.562-11.148) were significant independent risk factors of invasive lesions. Conclusions: Arc concave sign on TSCT is caused by interlobular septal displacement. The degree of arc concave sign can reflect the invasiveness of pGGNs. Invasive lesions can be effectively distinguished from preinvasive lesions by the presence of deep arc concave sign, irregular shape, the largest diameter > 10.1 mm and maximum density > -502 HU in pGGNs ≤ 20 mm.
MeSH term(s)	Adenocarcinoma/diagnostic imaging ; Adenocarcinoma of Lung/diagnostic imaging ; Humans ; Lung Neoplasms/diagnostic imaging ; Neoplasm Invasiveness/diagnostic imaging ; Retrospective Studies
Language	English
Publishing date	2021-03-27
Publishing country	Ireland
Document type	Journal Article
ZDB-ID	138815-0
ISSN	1872-7727 ; 0720-048X
ISSN (online)	1872-7727
ISSN	0720-048X
DOI	10.1016/j.ejrad.2021.109683
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Article ; Online: The associations among quantitative spectral CT parameters, Ki-67 expression levels and EGFR mutation status in NSCLC

Liaoyi Lin / Jiejun Cheng / Daoqiang Tang / Ying Zhang / Feng Zhang / Jianrong Xu / Handong Jiang / Huawei Wu

Scientific Reports, Vol 10, Iss 1, Pp 1-

2020 Volume 11

Abstract: Abstract Dual-energy spectral computed tomography (DESCT) is based on fast switching between high and low voltages from view to view to obtain dual-energy imaging data, and it can generate monochromatic image sets, iodine-based material decomposition ... ...

Abstract	Abstract Dual-energy spectral computed tomography (DESCT) is based on fast switching between high and low voltages from view to view to obtain dual-energy imaging data, and it can generate monochromatic image sets, iodine-based material decomposition images and spectral CT curves. Quantitative spectral CT parameters may be valuable for reflecting Ki-67 expression and EGFR mutation status in non-small-cell lung cancer (NSCLC). We investigated the associations among the quantitative parameters generated in DESCT and Ki-67 expression and EGFR mutation in NSCLC. We studied sixty-five NSCLC patients with preoperative DESCT scans, and their specimens underwent Ki-67 and EGFR evaluations. Statistical analyses were performed to identify the spectral CT parameters for the diagnosis of Ki-67 expression and EGFR mutation status. We found that tumour grade and the slope of the spectral CT curve in the venous phase were the independent factors influencing the Ki-67 expression level, and the area under the curve (AUC) of the slope of the spectral CT curve in the venous phase in the receiver operating characteristic analysis for distinguishing different Ki-67 expression levels was 0.901. Smoking status and the normalized iodine concentration in the venous phase were independent factors influencing EGFR mutation, and the AUC of the two-factor combination for predicting the presence of EGFR mutation was 0.807. These results show that spectral CT parameters may be useful for predicting Ki-67 expression and the presence of EGFR mutation in NSCLC.
Keywords	Medicine ; R ; Science ; Q
Subject code	571
Language	English
Publishing date	2020-02-01T00:00:00Z
Publisher	Nature Publishing Group
Document type	Article ; Online
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Article ; Online: The associations among quantitative spectral CT parameters, Ki-67 expression levels and EGFR mutation status in NSCLC.

Lin, Liaoyi / Cheng, Jiejun / Tang, Daoqiang / Zhang, Ying / Zhang, Feng / Xu, Jianrong / Jiang, Handong / Wu, Huawei

Scientific reports

2020 Volume 10, Issue 1, Page(s) 3436

Abstract: Dual-energy spectral computed tomography (DESCT) is based on fast switching between high and low voltages from view to view to obtain dual-energy imaging data, and it can generate monochromatic image sets, iodine-based material decomposition images and ... ...

Abstract	Dual-energy spectral computed tomography (DESCT) is based on fast switching between high and low voltages from view to view to obtain dual-energy imaging data, and it can generate monochromatic image sets, iodine-based material decomposition images and spectral CT curves. Quantitative spectral CT parameters may be valuable for reflecting Ki-67 expression and EGFR mutation status in non-small-cell lung cancer (NSCLC). We investigated the associations among the quantitative parameters generated in DESCT and Ki-67 expression and EGFR mutation in NSCLC. We studied sixty-five NSCLC patients with preoperative DESCT scans, and their specimens underwent Ki-67 and EGFR evaluations. Statistical analyses were performed to identify the spectral CT parameters for the diagnosis of Ki-67 expression and EGFR mutation status. We found that tumour grade and the slope of the spectral CT curve in the venous phase were the independent factors influencing the Ki-67 expression level, and the area under the curve (AUC) of the slope of the spectral CT curve in the venous phase in the receiver operating characteristic analysis for distinguishing different Ki-67 expression levels was 0.901. Smoking status and the normalized iodine concentration in the venous phase were independent factors influencing EGFR mutation, and the AUC of the two-factor combination for predicting the presence of EGFR mutation was 0.807. These results show that spectral CT parameters may be useful for predicting Ki-67 expression and the presence of EGFR mutation in NSCLC.
MeSH term(s)	Aged ; Area Under Curve ; Carcinoma, Non-Small-Cell Lung/diagnosis ; Carcinoma, Non-Small-Cell Lung/diagnostic imaging ; Carcinoma, Non-Small-Cell Lung/metabolism ; Diagnosis, Differential ; ErbB Receptors/genetics ; ErbB Receptors/metabolism ; Female ; Humans ; Iodine/chemistry ; Iodine/metabolism ; Ki-67 Antigen/metabolism ; Logistic Models ; Lung Neoplasms/diagnosis ; Lung Neoplasms/diagnostic imaging ; Lung Neoplasms/metabolism ; Male ; Middle Aged ; Mutation ; ROC Curve ; Smoking ; Tomography, X-Ray Computed
Chemical Substances	Ki-67 Antigen ; Iodine (9679TC07X4) ; EGFR protein, human (EC 2.7.10.1) ; ErbB Receptors (EC 2.7.10.1)
Language	English
Publishing date	2020-02-26
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2615211-3
ISSN	2045-2322 ; 2045-2322
ISSN (online)	2045-2322
ISSN	2045-2322
DOI	10.1038/s41598-020-60445-0
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Article ; Online: Risk Factors for The Growth of Residual Nodule in Surgical Patients with Adenocarcinoma Presenting as Multifocal Ground-glass Nodules.

Xia, Tianyi / Cai, Mengting / Zhuang, Yuandi / Ji, Xiaowei / Huang, Dingpin / Lin, Liaoyi / Liu, Jinjin / Yang, Yunjun / Fu, Gangze

European journal of radiology

2020 Volume 133, Page(s) 109332

Abstract: Purpose: We aim to investigate the risk factors influencing the growth of residual nodule (RN) in surgical patients with adenocarcinoma presenting as multifocal ground-glass nodules (GGNs).: Method: From January 2014 to June 2018, we enrolled 238 ... ...

Abstract	Purpose: We aim to investigate the risk factors influencing the growth of residual nodule (RN) in surgical patients with adenocarcinoma presenting as multifocal ground-glass nodules (GGNs). Method: From January 2014 to June 2018, we enrolled 238 patients with multiple GGNs in a retrospective review. Patients were categorized into growth group 63 (26.5%), and non-growth group 175 (73.5%). The median follow-up time was 28.2 months (range, 6.3-73.0 months). To obtain the time of RN growth and find the risk factors for growth, data such as age, gender, history of smoking, history of malignancy, type of surgery, pathology and radiological characteristics were analyzed to use Kaplan-Meier method with the log-rank test and Cox regression analysis. Results: The median growth time of RN was 56.0 months (95% CI, 45.0-67.0 months) in all 238 patients. Roundness (HR 4.62, 95% CI 2.20-9.68), part-solid nodule (CTR ≥ 50%) (HR 4.39, 95% CI 2.29-8.45), vascular convergence sign (HR 2.32, 95% CI 1.36-3.96) of RN, and age (HR 1.04, 95% CI 1.01-1.07) were independent predictors of further nodule growth. However, radiological characteristics and pathology of domain tumour (DT) cannot be used as indicators to predict RN growth. Conclusions: RN showed an indolent growth pattern in surgical patients with multifocal GGNs. RN with a higher roundness, presence of vascular convergence sign, more solid component, and in the elder was likely to grow. However, the growth of RN showed no association with the radiological features and pathology of DT.
MeSH term(s)	Adenocarcinoma/diagnostic imaging ; Adenocarcinoma/surgery ; Aged ; Humans ; Lung Neoplasms ; Retrospective Studies ; Risk Factors ; Solitary Pulmonary Nodule/diagnostic imaging ; Solitary Pulmonary Nodule/surgery ; Tomography, X-Ray Computed
Language	English
Publishing date	2020-10-21
Publishing country	Ireland
Document type	Journal Article
ZDB-ID	138815-0
ISSN	1872-7727 ; 0720-048X
ISSN (online)	1872-7727
ISSN	0720-048X
DOI	10.1016/j.ejrad.2020.109332
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Article ; Online: Dynamic changes on chest CT of COVID-19 patients with solitary pulmonary lesion in initial CT

Zhuang, Yuandi / Lin, Liaoyi / Xu, Xunhua / Xia, Tianyi / Yu, Huili / Fu, Gangze / Yang, Yunjun / Wang, Meihao / Sun, Houzhang

Japanese Journal of Radiology ; ISSN 1867-1071 1867-108X

2020

Keywords	Radiology Nuclear Medicine and imaging ; covid19
Language	English
Publisher	Springer Science and Business Media LLC
Publishing country	us
Document type	Article ; Online
DOI	10.1007/s11604-020-01037-w
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Article ; Online: Dynamic changes on chest CT of COVID-19 patients with solitary pulmonary lesion in initial CT.

Zhuang, Yuandi / Lin, Liaoyi / Xu, Xunhua / Xia, Tianyi / Yu, Huili / Fu, Gangze / Yang, Yunjun / Wang, Meihao / Sun, Houzhang

Japanese journal of radiology

2020 Volume 39, Issue 1, Page(s) 32–39

Abstract: Purpose: To investigate the dynamic evolution of image features of COVID-19 patients appearing as a solitary lesion at initial chest CT scan.: Materials and methods: Twenty-two COVID-19 patients with solitary pulmonary lesion from three hospitals in ... ...

Abstract	Purpose: To investigate the dynamic evolution of image features of COVID-19 patients appearing as a solitary lesion at initial chest CT scan. Materials and methods: Twenty-two COVID-19 patients with solitary pulmonary lesion from three hospitals in China were enrolled from January 18, 2020 to March 18, 2020. The clinical feature and laboratory findings at first visit, as well as characteristics and dynamic evolution of chest CT images were analyzed. Among them, the CT score evaluation was the sum of the lung involvement in five lobes (0-5 points for each lobe, with a total score ranging from 0 to 25). Results: 22 COVID-19 patients (11 males and 11 females, with an average age of 40.7 ± 10.3) developed a solitary pulmonary lesion within 4 days after the onset of symptoms, the peak time of CT score was about 11 days (with a median CT score of 6), and was discharged about 19 days. The peak of CT score was positively correlated with the peak time and the discharge time (p < 0.001, r = 0.793; p < 0.001, r = 0.715). Scan-1 (first visit): 22 cases (100%) showed GGO and one lobe was involved, CT score was 1.0/1.0 (median/IQR). Scan-2 (peak): 15 cases (68%) showed crazy-paving pattern, 19 cases (86%) showed consolidation, and 2.5 lobes were involved, CT score was 6.0/12.0. Scan-3 (before discharge): ten cases (45%) showed linear opacities, none had crazy-paving pattern, and 2.5 lobes were involved, CT score was 6.0/11.0. Scan-4 (after discharge): three cases (19%) showed linear opacities and one lobe was involved, CT score was 2.0/5.0. Conclusion: The chest CT features are related to the course of COVID-19 disease, and dynamic chest CT scan are helpful to monitor disease progress and patients' condition. In recovered patients with COVID-19, the positive CT manifestations were found within 4 days, lung involvement peaking at approximately 11 days, and discharged at about 19 days. The patients with more severe the lung injury was, the later the peak time appeared and the longer the recovery time was. Although the lesion was resolved over time, isolation and reexamination were required after discharge.
MeSH term(s)	Adult ; COVID-19/complications ; COVID-19/diagnosis ; COVID-19/pathology ; China ; Disease Progression ; Female ; Humans ; Lung/diagnostic imaging ; Lung/pathology ; Male ; Middle Aged ; Retrospective Studies ; SARS-CoV-2 ; Solitary Pulmonary Nodule/complications ; Solitary Pulmonary Nodule/diagnostic imaging ; Solitary Pulmonary Nodule/pathology ; Tomography, X-Ray Computed/methods ; Young Adult
Keywords	covid19
Language	English
Publishing date	2020-09-04
Publishing country	Japan
Document type	Journal Article
ZDB-ID	2488907-6
ISSN	1867-108X ; 1867-1071
ISSN (online)	1867-108X
ISSN	1867-1071
DOI	10.1007/s11604-020-01037-w
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