Novel Chest Radiographic Biomarkers for COVID-19 Using Radiomic Features Associated with Diagnostics and Outcomes진단 및 결과와 관련된 방사성 특징을 사용하는 COVID-19에 대한 새로운 흉부 방사선학적 바이오마커Article Published on 2021-04-012022-09-11 Journal: Journal of digital imaging [Category] MERS, SARS, 바이오마커, [키워드] acute infectious disease acute infectious diseases acute respiratory diseases Analysis Biomarker calculated Characteristics characterized Chest radiography chest X-ray chest X-rays co-occurrence Cohort contagious contagious disease coronavirus correlated COVID-19 COVID-19 patients dependence diagnosed diagnostic disease etiologic agent feature Features Formula hazard ratio highest histogram identify Image analysis imaging diagnosis Infection Infectious diseases Kaplan-Meier Kaplan-Meier curve Kaplan-Meier curves log-rank test Mann-Whitney Mann-Whitney U test marker measure Medical image analysis MOST novel Patient patients Pneumonia predict Prognostic value Quantitative Radiographic Radiomics respiratory respiratory diseases Retrospective study risk of COVID-19 sensitivity severe pneumonia statistical analysis Support survival text the log-rank test undergo uniformity with COVID-19 zone [DOI] 10.1007/s10278-021-00421-w PMC 바로가기 [Article Type] Article
Exploration of an Integrative Prognostic Model of Radiogenomics Features With Underlying Gene Expression Patterns in Clear Cell Renal Cell CarcinomaOriginal Research Published on 2021-03-082023-08-30 Journal: Frontiers in Oncology [Category] E형 간염, [키워드] clear cell renal cell carcinoma Genomics machine learning Prognosis Radiomics [DOI] 10.3389/fonc.2021.640881 PMC 바로가기 [Article Type] Original Research
CT-based radiomics combined with signs: a valuable tool to help radiologist discriminate COVID-19 and influenza pneumoniaCT 기반 방사선과 징후 결합: 방사선 전문의가 COVID-19와 인플루엔자 폐렴을 구별하는 데 도움이 되는 유용한 도구Original Research Published on 2021-02-172022-09-01 Journal: BMC Medical Imaging [Category] Fulltext, MERS, 진단, [키워드] Accuracy Analysis AUC bootstrap build characteristic Chest CT image collected Computed tomography Coronavirus disease 2019 COVID-19 COVID-19 pandemic CT sign CT signs dataset demonstrated differential diagnosis feature Features help independent Influenza influenza pneumonia initial Patient Pneumonia Predictive Radiomics receiver operating characteristic Result ROC ROC Curve selected sensitivity specificity supplementary material Viral Viral pneumonia X-ray computed tomography [DOI] 10.1186/s12880-021-00564-w PMC 바로가기 [Article Type] Original Research
On the Adoption of Radiomics and Formal Methods for COVID-19 Coronavirus DiagnosisArticle Published on 2021-02-122022-10-31 Journal: Diagnostics [Category] COVID-19, [키워드] Accuracy adoption affected Analysis approach artificial intelligence assist authors automatically caused checked Computed tomography coronavirus COVID-19 CT detect diagnose Diagnosis disease disease detection experimental analysis feature Formal formal methods healthy HRCT identify Infection introduced knowledge lung Novel coronavirus pandemic pathologist pulmonary disease radiologist radiology Radiomics the patient [DOI] 10.3390/diagnostics11020293 PMC 바로가기 [Article Type] Article
CT radiomics facilitates more accurate diagnosis of COVID-19 pneumonia: compared with CO-RADSCT radiomics는 CO-RADS와 비교하여 COVID-19 폐렴의 더 정확한 진단을 용이하게 합니다.Comparative Study Published on 2021-01-072022-09-10 Journal: Journal of Translational Medicine [Category] 진단, 치료기술, [키워드] an area Analysis AUC build calibration curve Chest CT Chest CT image Chest CT images clinical clinical utility clinical variable Cohort Computed tomography COVID-19 COVID-19 pneumonia dataset decision curve analysis develop diagnosing diagnosis of COVID-19 diagnostic enrolled facilitate feature laboratory-confirmed Limited machine learning Non-COVID-19 operator other viral pneumonia Patient performed Pneumonia radiologist Radiomics receiver operating characteristics Result ROC selected Sensitivity and specificity training dataset validation cohort Viral Viral pneumonia [DOI] 10.1186/s12967-020-02692-3 PMC 바로가기 [Article Type] Comparative Study
Development and Validation of an Automated Radiomic CT Signature for Detecting COVID-19Article Published on 2020-12-302022-10-31 Journal: Diagnostics [Category] COVID-19, [키워드] Accuracy artificial intelligence AUC automated characteristic Chest computed tomography clinical condition Computed tomography confirmed case control patient control patients coronavirus disease COVID COVID-19 COVID-19 infection COVID-19 patient dataset development Diagnosis False negative False positives feature Health Healthcare system help implementation independent Intervention Isolation limits machine learning measure Negative predictive value NPV outbreak pandemic status Patient patients Positive predictive value PPV Radiomics reached RT-PCR sensitivity signature social distancing specificity test dataset threshold validation volumetric was used [DOI] 10.3390/diagnostics11010041 PMC 바로가기 [Article Type] Article
Radiomic Feature-Based Predictive Model for Microvascular Invasion in Patients With Hepatocellular CarcinomaOriginal Research Published on 2020-11-052023-08-30 Journal: Frontiers in Oncology [Category] E형 간염, [키워드] Computed tomography Hepatocellular carcinoma Microvascular invasion nomogram Radiomics [DOI] 10.3389/fonc.2020.574228 PMC 바로가기 [Article Type] Original Research
A model based on CT radiomic features for predicting RT-PCR becoming negative in coronavirus disease 2019 (COVID-19) patientsResearch Article Published on 2020-10-202022-10-28 Journal: BMC Medical Imaging [Category] COVID-19, Fulltext, MERS, SARS, [키워드] abnormality addition Algorithm Analysis AUC automatically Characteristics Chest computed tomography Chest CT image China clinical Clinical characteristics Clinical data Clinical treatment cohorts collected Computed tomography coronavirus disease Coronavirus disease 2019 correlation COVID-19 COVID-19 patient COVID-19 patients criterion datasets deep learning Diagnosis diagnostic evaluated feature Features global pandemic groups Hospital stay Logistic regression median mild COVID-19 patient multivariate logistic regression negativity nine no significant difference Patient predict Quantitative Radiomics repeated Result ROC Curve RT-PCR RT-PCR test selected Spearman symptom onset treatment guideline [DOI] 10.1186/s12880-020-00521-z PMC 바로가기 [Article Type] Research Article
A Quantitative and Radiomics approach to monitoring ARDS in COVID-19 patients based on chest CT: a retrospective cohort studyResearch Paper Published on 2020-07-062022-10-29 Journal: International Journal of Medical Sciences [Category] COVID-19, MERS, SARS, [키워드] acute respiratory distress syndrome Analysis approach ARDS automatically baseline benefit Blood Chest Chest CT Chi-squared test Clinical use combinations Computed tomography COVID-19 COVID-19 patient dataset datasets decision curve analysis develop diagnosed with COVID-19 distress Effectiveness enrolled feasible feature Infection intubation Lungs male management median age Metrics MONITOR no significant difference noninvasive number of sample Patient patients Probability proportion protocol Quantitative Quantitative analysis Quantitative imaging Radiomics Randomly receiver operating characteristic Region retrospective cohort study ROC ROC Curve ROIs sensitivity specificity syndrome the patient threshold training dataset Ventilation was measured was used [DOI] 10.7150/ijms.48432 PMC 바로가기 [Article Type] Research Paper
Radiomics Analysis of Computed Tomography helps predict poor prognostic outcome in COVID-19Research Paper Published on 2020-06-052022-10-28 Journal: Theranostics [Category] COVID-19, MERS, SARS, [키워드] Admission Affect age Analysis applied association AUC build C-index Chest CT clinical risk factor clinician Cohort collected combined cohort Comorbidity competing Computed tomography conducted COVID-19 COVID-19 patients CT scan CT scanning cumulative death develop effective feature group help high-risk patient identify in both group independent intensive care lung management mechanical ventilation Non-invasive operator outcome Patient patient groups patients patients with COVID-19 performed Poor outcome predict Prevent Probability Prognosis prognostic prognostic model Quantitative Radiomics reproducibility Research risk significantly spread of COVID-19 stability stratified subgroup subgroups Surveillance survival symptom onset Taking tested validation cohort Volume [DOI] 10.7150/thno.46428 PMC 바로가기 [Article Type] Research Paper