Cargando…

A Radiomics Signature to Quantitatively Analyze COVID-19-Infected Pulmonary Lesions

ABSTRACT: Assessing pulmonary lesions using computed tomography (CT) images is of great significance to the severity diagnosis and treatment of coronavirus disease 2019 (COVID-19)-infected patients. Such assessment mainly depends on radiologists’ subjective judgment, which is inefficient and present...

Descripción completa

Detalles Bibliográficos
Autores principales:	Qiu, Jiajun, Peng, Shaoliang, Yin, Jin, Wang, Junren, Jiang, Jingwen, Li, Zhenlin, Song, Huan, Zhang, Wei
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Springer Berlin Heidelberg 2021
Materias:	Original Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7788548/ https://www.ncbi.nlm.nih.gov/pubmed/33411162 http://dx.doi.org/10.1007/s12539-020-00410-7

Ejemplares similares

Wavelet transformation can enhance computed tomography texture features: a multicenter radiomics study for grade assessment of COVID-19 pulmonary lesions
por: Jiang, Zekun, et al.
Publicado: (2022)

Automated detection of hippocampal sclerosis using real-world clinical MRI images
por: Jiang, Jingwen, et al.
Publicado: (2023)

Comparison of dyslipidemia incidence in Chinese early-stage breast cancer patients following different endocrine therapies: A population-based cohort study
por: Wang, Junren, et al.
Publicado: (2022)

MRI-based radiomics signature is a quantitative prognostic biomarker for nasopharyngeal carcinoma
por: Ming, Xue, et al.
Publicado: (2019)

Spectral CT-based radiomics signature for distinguishing malignant pulmonary nodules from benign
por: Xu, Hang, et al.
Publicado: (2023)

Combined whole-lesion radiomic and iodine analysis for differentiation of pulmonary tumors
por: Azour, Lea, et al.
Publicado: (2022)

Quantitative evaluation of the infrapatellar fat pad in knee osteoarthritis: MRI-based radiomic signature
por: Ye, Qin, et al.
Publicado: (2023)

Radiomics signature of epicardial adipose tissue for predicting postoperative atrial fibrillation after pulmonary endarterectomy
por: Liu, Zhan, et al.
Publicado: (2023)

CT-based radiomics of benign and malignant features in multiple cavitary pulmonary lesions
por: Pinto, Erique Guedes, et al.
Publicado: (2020)

Radiomic analysis of pulmonary ground-glass opacity nodules for distinction of preinvasive lesions, invasive pulmonary adenocarcinoma and minimally invasive adenocarcinoma based on quantitative texture analysis of CT
por: Li, Wei, et al.
Publicado: (2018)

Radiomics Study for Discriminating Second Primary Lung Cancers From Pulmonary Metastases in Pulmonary Solid Lesions
por: Zhong, Feiyang, et al.
Publicado: (2022)

A CT-Based Radiomic Signature for the Differentiation of Pulmonary Hamartomas from Carcinoid Tumors
por: Cangir, Ayten Kayi, et al.
Publicado: (2022)

Prediction of Suicidal Behaviors in the Middle-aged Population: Machine Learning Analyses of UK Biobank
por: Wang, Junren, et al.
Publicado: (2023)

Research on the Construction and Application of Breast Cancer-Specific Database System Based on Full Data Lifecycle
por: Jin, Yin, et al.
Publicado: (2021)

CT-Based Radiomics Signatures for Predicting the Risk Categorization of Thymic Epithelial Tumors
por: Liu, Jin, et al.
Publicado: (2021)

Quantitative Chest X-ray Radiomics for Therapy Response Monitoring in Patients with Pulmonary Tuberculosis
por: Du Plessis, Tamarisk, et al.
Publicado: (2023)

Radiomics signature extracted from diffusion-weighted magnetic resonance imaging predicts outcomes in osteosarcoma
por: Zhao, Shuliang, et al.
Publicado: (2019)

Development and validation of MRI-based radiomics signatures as new markers for preoperative assessment of EGFR mutation and subtypes from bone metastases
por: Fan, Ying, et al.
Publicado: (2022)

Identification of pulmonary adenocarcinoma and benign lesions in isolated solid lung nodules based on a nomogram of intranodal and perinodal CT radiomic features
por: Yi, Li, et al.
Publicado: (2022)

Are radiomic signatures ready for incorporation in the clinical pipeline?
por: Singh, Apurva, et al.
Publicado: (2023)

Development and multicenter validation of a CT-based radiomics signature for predicting severe COVID-19 pneumonia
por: Li, Liang, et al.
Publicado: (2021)

A Nomogram Based on a Multiparametric Ultrasound Radiomics Model for Discrimination Between Malignant and Benign Prostate Lesions
por: Liang, Lei, et al.
Publicado: (2021)

An endorectal ultrasound-based radiomics signature for preoperative prediction of lymphovascular invasion of rectal cancer
por: Wu, Yu-quan, et al.
Publicado: (2022)

IDH mutation-specific radiomic signature in lower-grade gliomas
por: Liu, Xing, et al.
Publicado: (2019)

Radiomics for the Diagnosis and Differentiation of Pancreatic Cystic Lesions
por: Machicado, Jorge D., et al.
Publicado: (2020)

Analyzing the Possibility of Utilizing CBCT Radiomics as an Independent Modality: A Phantom Study
por: Palani, Dharmendran, et al.
Publicado: (2021)

Diagnostic Performance of 2D and 3D T2WI-Based Radiomics Features With Machine Learning Algorithms to Distinguish Solid Solitary Pulmonary Lesion
por: Wan, Qi, et al.
Publicado: (2021)

Machine Learning methods for Quantitative Radiomic Biomarkers
por: Parmar, Chintan, et al.
Publicado: (2015)

Quantitative radiomic profiling of glioblastoma represents transcriptomic expression
por: Kong, Doo-Sik, et al.
Publicado: (2018)

Radiomic Signatures for Predicting Receptor Status in Breast Cancer Brain Metastases
por: Luo, Xiao, et al.
Publicado: (2022)

Predicting Progression of Kidney Injury Based on Elastography Ultrasound and Radiomics Signatures
por: Zhu, Minyan, et al.
Publicado: (2022)

Comparison of Radiomic Models Based on Low-Dose and Standard-Dose CT for Prediction of Adenocarcinomas and Benign Lesions in Solid Pulmonary Nodules
por: Liu, Jieke, et al.
Publicado: (2021)

Developing of risk models for small solid and subsolid pulmonary nodules based on clinical and quantitative radiomics features
por: Zhang, Rui, et al.
Publicado: (2021)

Vulnerabilitäten bei Radiomics: Warum die populärste Radiomics-Signatur unbemerkt das Tumorvolumen gemessen hat
por: Putz, Florian, et al.
Publicado: (2021)

Radiomics in pulmonary neuroendocrine tumours (NETs)
por: Cozzi, Diletta, et al.
Publicado: (2022)

Technical feasibility of radiomics signature analyses for improving detection of occult tonsillar cancer
por: Lee, Jeong Hoon, et al.
Publicado: (2021)

Radiomic Signatures for Predicting EGFR Mutation Status in Lung Cancer Brain Metastases
por: Zheng, Lie, et al.
Publicado: (2022)

Differentiation of pulmonary sclerosing pneumocytoma from solid malignant pulmonary nodules by radiomic analysis on multiphasic CT
por: Ni, Xiao‐Qiong, et al.
Publicado: (2020)

Analyzing quantitative behavioral observation data /
por: Suen, Hoi K.
Publicado: (1989)

Evaluation of the Efficiency of MRI-Based Radiomics Classifiers in the Diagnosis of Prostate Lesions
por: Li, Linghao, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_ldj9u2vq8vj3r26qt0vknldj4q