Diagnostic value of chest computed tomography imaging for COVID-19 based on reverse transcription-polymerase chain reaction: a meta-analysis역전사-중합효소 연쇄반응 기반 코로나19 흉부 컴퓨터 단층촬영 영상의 진단적 가치: 메타분석Meta-Analysis Published on 2021-10-212022-09-12 Journal: Infectious Diseases of Poverty [Category] MERS, 진단, [키워드] 95% CI 95% confidence interval AUROC calculated caused characteristic Chest computed tomography Chest CT Chinese collected Computed tomography COVID-19 diagnosis of COVID-19 diagnostic diagnostic value English forest plots heterogeneity likelihood ratio Meta-analysis Odds ratio Patient positive reason reason for receiver operating characteristic receiver operating characteristic curve reference standard Result risk of bia searched sensitivity specificity threshold tomography X-ray computed [DOI] 10.1186/s40249-021-00910-8 PMC 바로가기 [Article Type] Meta-Analysis
CT-Based Radiomics Helps to Predict Residual Lung Lesions in COVID-19 Patients at Three Months after DischargeArticle Published on 2021-09-302022-10-31 Journal: Diagnostics [Category] COVID-19, [키워드] Admission AUC build characteristic Chest CT image Combination coronavirus disease COVID-19 COVID-19 confirmed patient develop different time point discharge Effect Efficacy enrolled evaluate feature Follow-up help hospital Hospital admission lesion lung lung lesion lung lesions Month Patient Predictive Psychological Radiomics Randomly reduce Region residual residual lesion sensitivity specificity survivor Survivors tomography were used X-ray computed [DOI] 10.3390/diagnostics11101814 PMC 바로가기 [Article Type] Article
Disease state prediction for 2019 novel coronavirus (COVID-19) pneumonia using CT manifestations and body temperature dynamic analysis A SQUIRE-compliant studyArticle Published on 2021-07-092023-07-01 Journal: Medicine [Category] SARS, [키워드] evaluation studies Novel coronavirus Pneumonia tomography X-ray computed [DOI] 10.1097/MD.0000000000025938 PMC 바로가기
A novel CT-based radiomics in the distinction of severity of coronavirus disease 2019 (COVID-19) pneumonia코로나 바이러스 질병 2019 (Covid-19) 폐렴의 심각성의 구별에서 새로운 CT 기반 방사선학Research Published on 2021-06-252022-09-01 Journal: BMC Infectious Diseases [Category] MERS, SARS, 진단, [키워드] 95% CI 95% confidence interval age AUC calculated calibration Chain Reaction coefficients Cohort cohorts Comorbidity consolidation contribute coronavirus disease Coronavirus disease 2019 COVID-19 COVID-19 pneumonia Curve decision-curve analysis enrolled evaluate exhibited feature Final GGO Ground glass opacity LASSO lesions marker multivariate regression analysis nomogram non-severe patient operator Patient patient treatment patients with COVID-19 Pneumonia polymerase chain polymerase chain reaction Prognosis Radiomics regression analysis Result retained reverse transcription reverse transcription polymerase chain reaction RT-PCR selected severe and non-severe patients severity severity of COVID-19 tomography training set were used with COVID-19 X-ray computed [DOI] 10.1186/s12879-021-06331-0 PMC 바로가기 [Article Type] Research
Machine Learning to Predict In-Hospital Mortality in COVID-19 Patients Using Computed Tomography-Derived Pulmonary and Vascular FeaturesArticle Published on 2021-06-032022-10-30 Journal: Journal of Personalized Medicine [Category] COVID-19, [키워드] Admission age build Chest computed tomography Chest CT Clinical data computer contributing to COVID-19 COVID-19 patient dataset death died discharge Features highlighting Hospitalization in-hospital mortality lung machine learning machine learning model Mann–Whitney U test median Metrics neural networks outcome parenchymal Patient patients patients who survived performed Precision Predictive Prognosis pulmonary pulmonary artery radiological recall reported SARS-COV-2 infection Stratification Support support vector machine SVM tomography Univariate analysis Vascular Vascular damage vector X-ray computed yielding [DOI] 10.3390/jpm11060501 PMC 바로가기 [Article Type] Article
CT radiomic models to distinguish COVID-19 pneumonia from other interstitial pneumoniasCOVID-19 폐렴을 다른 간질성 폐렴과 구별하기 위한 CT 방사성 모델Chest Radiology Published on 2021-05-272022-09-01 Journal: La Radiologia Medica [Category] MERS, 진단, [키워드] analyzed approach AUC COVID pneumonia COVID-19 COVID-19 disease COVID-19 negative decrease dual excluded False negative feature Features groups help interstitial lung involvement interstitial pneumonia lung Lung CT Lungs machine learning management Material and Method median ML model Nasopharyngeal swab Non-COVID-19 Patient patients Pneumonia pneumonias positive presenting radiological respiratory respiratory symptom respiratory symptoms Result Swab test tomography training set Viral was used X-ray computed [DOI] 10.1007/s11547-021-01370-8 PMC 바로가기 [Article Type] Chest Radiology
The worldwide coronavirus disease 2019 outbreak Advice and recommendation on radiology management and infection control from makeshift hospitals in Wuhan6800 Published on 2021-05-142022-10-30 Journal: Medicine [Category] COVID-19, SARS, [키워드] component coronavirus disease Coronavirus disease 2019 COVID-19 COVID-19 pandemic emergency shelter hospital infection control initial literature review management management protocol National outbreak Patient performed reached resource response School sport tomography with COVID-19 Wuhan X-ray computed [DOI] 10.1097/MD.0000000000025117 PMC 바로가기 [Article Type] 6800
Correlation between lung ultrasound and chest CT patterns with estimation of pulmonary burden in COVID-19 patientsCOVID-19 환자의 폐부하 추정과 폐초음파와 흉부 CT 패턴 간의 상관관계Article Published on 2021-05-012022-09-11 Journal: European Journal of Radiology [Category] SARS, 치료기술, [키워드] analysed Analysis assessment AUC calculated characteristic Chest CT correlation correlations COVID-19 COVID-19 patient CT finding CT findings CT scan CT scans Department determine diagnostic techniques and procedures disease Emergency emergency department lesion lung moderate not differ number Patient patients PCR-confirmed COVID-19 performed positive quantification receiver operating characteristic receiver operating characteristic curve revision score sensitivity severity Severity Score specificity the disease tomography Ultrasonography Volume were assessed X-ray X-ray computed zone [DOI] 10.1016/j.ejrad.2021.109650 PMC 바로가기 [Article Type] Article
Comparison of Clinical Features and CT Temporal Changes Between Familial Clusters and Non-familial Patients With COVID-19 PneumoniaMedicine Published on 2021-04-152022-10-31 Journal: Frontiers in Medicine [Category] COVID-19, [키워드] Admission change Chest computed tomography Chest CT clinical Clinical characteristics Clinical course close monitoring Cluster confirmed COVID-19 case coronavirus disease Coronavirus infections COVID-19 Critical discharge Familial familial cluster Follow-up groups Hospital stay infections involved Laboratory laboratory feature laboratory-confirmed lung lobe Lymphocyte count outcome Patient Pneumonia Retrospective study severity significantly lower symptomatic Temporal tomography Treatment two group viral shedding X-ray computed [DOI] 10.3389/fmed.2021.630802 PMC 바로가기 [Article Type] Medicine
Validation of imaging reporting and data system of coronavirus disease 2019 lexicons CO-RADS and COVID-RADS with radiologists’ preference: a multicentric studyResearch Published on 2021-04-152022-10-31 Journal: The Egyptian Journal of Radiology and Nuclear Medicine [Category] COVID-19, [키워드] Accuracy applicability blinded Clinical diagnosis clinical suspicion coronavirus disease COVID-19 CT chest diagnostic Efficacy favor negative RT-PCR Pandemics Pneumonia positive Radiologists Result retrospective RT-PCR statistically significant tomography validation Viral X-ray computed [DOI] 10.1186/s43055-021-00485-2 PMC 바로가기 [Article Type] Research