Cargando…

Multicenter Assessment of CT Pneumonia Analysis Prototype for Predicting Disease Severity and Patient Outcome

To perform a multicenter assessment of the CT Pneumonia Analysis prototype for predicting disease severity and patient outcome in COVID-19 pneumonia both without and with integration of clinical information. Our IRB-approved observational study included consecutive 241 adult patients (> 18 years;...

Descripción completa

Detalles Bibliográficos
Autores principales:	Homayounieh, Fatemeh, Bezerra Cavalcanti Rockenbach, Marcio Aloisio, Ebrahimian, Shadi, Doda Khera, Ruhani, Bizzo, Bernardo C., Buch, Varun, Babaei, Rosa, Karimi Mobin, Hadi, Mohseni, Iman, Mitschke, Matthias, Zimmermann, Mathis, Durlak, Felix, Rauch, Franziska, Digumarthy, Subba R, Kalra, Mannudeep K.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Springer International Publishing 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7906242/ https://www.ncbi.nlm.nih.gov/pubmed/33634416 http://dx.doi.org/10.1007/s10278-021-00430-9

Ejemplares similares

CT Radiomics, Radiologists, and Clinical Information in Predicting Outcome of Patients with COVID-19 Pneumonia
por: Homayounieh, Fatemeh, et al.
Publicado: (2020)

Prediction of burden and management of renal calculi from whole kidney radiomics: a multicenter study
por: Homayounieh, Fatemeh, et al.
Publicado: (2020)

Artificial intelligence matches subjective severity assessment of pneumonia for prediction of patient outcome and need for mechanical ventilation: a cohort study
por: Ebrahimian, Shadi, et al.
Publicado: (2021)

Clinical and imaging features predict mortality in COVID-19 infection in Iran
por: Homayounieh, Fatemeh, et al.
Publicado: (2020)

Deploying Clinical Process Improvement Strategies to Reduce Motion Artifacts and Expiratory Phase Scanning in Chest CT
por: Doda Khera, Ruhani, et al.
Publicado: (2019)

Use of radiomics to differentiate left atrial appendage thrombi and mixing artifacts on single-phase CT angiography
por: Ebrahimian, Shadi, et al.
Publicado: (2021)

Investigating centering, scan length, and arm position impact on radiation dose across 4 countries from 4 continents during pandemic: Mitigating key radioprotection issues
por: Ebrahimian, Shadi, et al.
Publicado: (2021)

Deep learning predicts cardiovascular disease risks from lung cancer screening low dose computed tomography
por: Chao, Hanqing, et al.
Publicado: (2021)

Performance of a Chest Radiography AI Algorithm for Detection of Missed or Mislabeled Findings: A Multicenter Study
por: Kaviani, Parisa, et al.
Publicado: (2022)

Validation pipeline for machine learning algorithm assessment for multiple vendors
por: Bizzo, Bernardo C., et al.
Publicado: (2022)

Auto-Detection of Motion Artifacts on CT Pulmonary Angiograms with a Physician-Trained AI Algorithm
por: Dasegowda, Giridhar, et al.
Publicado: (2023)

Integrative analysis for COVID-19 patient outcome prediction
por: Chao, Hanqing, et al.
Publicado: (2021)

Can fully iterative reconstruction technique enable routine abdominal CT at less than 1 mSv?
por: Tabari, Azadeh, et al.
Publicado: (2019)

A multi-center study of COVID-19 patient prognosis using deep learning-based CT image analysis and electronic health records
por: Gong, Kuang, et al.
Publicado: (2021)

Comparison of deep learning, radiomics and subjective assessment of chest CT findings in SARS-CoV-2 pneumonia
por: Arru, Chiara, et al.
Publicado: (2021)

Association of AI quantified COVID-19 chest CT and patient outcome
por: Fang, Xi, et al.
Publicado: (2021)

Radiologist-Trained and -Tested (R2.2.4) Deep Learning Models for Identifying Anatomical Landmarks in Chest CT
por: Kaviani, Parisa, et al.
Publicado: (2022)

Deep learning in chest radiography: Detection of findings and presence of change
por: Singh, Ramandeep, et al.
Publicado: (2018)

Association of Artificial Intelligence–Aided Chest Radiograph Interpretation With Reader Performance and Efficiency
por: Ahn, Jong Seok, et al.
Publicado: (2022)

Validation of a Deep Learning Algorithm for the Detection of Malignant Pulmonary Nodules in Chest Radiographs
por: Yoo, Hyunsuk, et al.
Publicado: (2020)

Is Weight-Based Adjustment of Automatic Exposure Control Necessary for the Reduction of Chest CT Radiation Dose?
por: Prakash, Priyanka, et al.
Publicado: (2010)

Multifactorial Analysis of Mortality in Screening Detected Lung Cancer
por: Digumarthy, Subba R., et al.
Publicado: (2018)

Can CT radiomic analysis in NSCLC predict histology and EGFR mutation status?
por: Digumarthy, Subba R., et al.
Publicado: (2019)

Radiation dose reduction in chest dual-energy computed tomography: effect on image quality and diagnostic information
por: Canellas, Rodrigo, et al.
Publicado: (2018)

An Artificial Intelligence–Based Chest X-ray Model on Human Nodule Detection Accuracy From a Multicenter Study
por: Homayounieh, Fatemeh, et al.
Publicado: (2021)

CT texture analysis of histologically proven benign and malignant lung lesions
por: Digumarthy, Subba R., et al.
Publicado: (2018)

Process improvement for reducing side discrepancies in radiology reports
por: Digumarthy, Subba Rao, et al.
Publicado: (2018)

Chest CT practice and protocols for COVID-19 from radiation dose management perspective
por: Kalra, Mannudeep K., et al.
Publicado: (2020)

Frequency of Missed Findings on Chest Radiographs (CXRs) in an International, Multicenter Study: Application of AI to Reduce Missed Findings
por: Kaviani, Parisa, et al.
Publicado: (2022)

Radiomic features of primary tumor by lung cancer stage: analysis in BRAF mutated non-small cell lung cancer
por: Padole, Atul, et al.
Publicado: (2020)

Predicting malignant potential of subsolid nodules: can radiomics preempt longitudinal follow up CT?
por: Digumarthy, Subba R., et al.
Publicado: (2019)

Evaluation of an Artificial Intelligence Model for Detection of Pneumothorax and Tension Pneumothorax in Chest Radiographs
por: Hillis, James M., et al.
Publicado: (2022)

Effect of technologist and patient attributes on centering for body CT examinations: Influence of cultural and ethnic factors
por: Aly, Antar, et al.
Publicado: (2022)

CovidCTNet: an open-source deep learning approach to diagnose covid-19 using small cohort of CT images
por: Javaheri, Tahereh, et al.
Publicado: (2021)

The earthquake's effect on the men's sexual function; 1 year after the earthquake's occurrence: A cross‐sectional study
por: Ebrahimian, Abbasali, et al.
Publicado: (2022)

Intraluminal bezoar caused obstruction and pancreatitis: A case report
por: Ebrahimian, Saba, et al.
Publicado: (2019)

Variations in CT Utilization, Protocols, and Radiation Doses in COVID-19 Pneumonia: Results from 28 Countries in the IAEA Study
por: Homayounieh, Fatemeh, et al.
Publicado: (2020)

Complications in COVID-19 patients: Characteristics of pulmonary embolism
por: Cau, Riccardo, et al.
Publicado: (2021)

MRI in detection of hepatocellular carcinoma (HCC)
por: Digumarthy, Subba R, et al.
Publicado: (2005)

Laparoscopic relief of reduction en-masse in an inguinal hernia: A case report
por: Oshidari, Bahador, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_q4qceuk8klae4ckksj3bmnqid5