European Journal of Radiology

Corrigendum to “Rim enhancement on hepatobiliary phase of pre-treatment 3.0 T MRI: A potential marker for early chemotherapy response in colorectal liver metastases treated with XELOX” [Eur. J. Radiol. 143 (2021) 109887]

European Journal of Radiology ◽

10.1016/j.ejrad.2022.110154 ◽

2022 ◽

Vol 148 ◽

pp. 110154

Author(s):

Xinxin Wang ◽

Yu Wang ◽

Ziqian Zhang ◽

Meng Zhou ◽

Xueyan Zhou ◽

...

Keyword(s):

Liver Metastases ◽

Colorectal Liver Metastases ◽

Chemotherapy Response ◽

Hepatobiliary Phase ◽

Potential Marker ◽

Rim Enhancement ◽

3.0 T ◽

Pre Treatment ◽

3.0 T Mri

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Corrigendum to “Artificial intelligence in computed tomography plaque characterization: A review” [Eur. J. Radiol. 140 (2021) 109767]

European Journal of Radiology ◽

10.1016/j.ejrad.2021.110132 ◽

2022 ◽

Vol 147 ◽

pp. 110132

Author(s):

Riccardo Cau ◽

Adam Flanders ◽

Lorenzo Mannelli ◽

Carola Politi ◽

Gavino Faa ◽

...

Keyword(s):

Artificial Intelligence ◽

Computed Tomography ◽

Plaque Characterization

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Prognostic Value of Epicardial Adipose Tissue Volume in Combination with Coronary Plaque and Flow Assessment for the Prediction of Major Adverse Cardiac Events

European Journal of Radiology ◽

10.1016/j.ejrad.2022.110157 ◽

2022 ◽

pp. 110157

Author(s):

Verena Brandt ◽

Raffi Bekeredjian ◽

U. Joseph Schoepf ◽

Akos Varga-Szemes ◽

Tilman Emrich ◽

...

Keyword(s):

Adipose Tissue ◽

Prognostic Value ◽

Epicardial Adipose Tissue ◽

Coronary Plaque ◽

Major Adverse Cardiac Events ◽

Cardiac Events ◽

Tissue Volume ◽

Adverse Cardiac Events ◽

Adipose Tissue Volume

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Comparison of Thyroid Nodule FNA Rates Recommended by ACR TI-RADS, Kwak TI-RADS and ATA Guidelines

European Journal of Radiology ◽

10.1016/j.ejrad.2022.110152 ◽

2022 ◽

pp. 110152

Author(s):

Ting-Yue Qi ◽

Xiao Chen ◽

Hua Liu ◽

Lun Mao ◽

Jian Chen ◽

...

Keyword(s):

Thyroid Nodule

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Burnout and Work-Work Imbalance in Radiology- Wicked Problems on a Global Scale. A Baseline Pre-COVID-19 Survey of US Neuroradiologists Compared to International Radiologists and Adjacent Staff

European Journal of Radiology ◽

10.1016/j.ejrad.2022.110153 ◽

2022 ◽

pp. 110153

Author(s):

James Y. Chen ◽

Srinivasan Vedantham ◽

Frank J. Lexa

Keyword(s):

Wicked Problems ◽

Global Scale

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Combining diffusion kurtosis imaging and clinical data for predicting the extramural venous invasion of rectal adenocarcinoma

European Journal of Radiology ◽

10.1016/j.ejrad.2022.110155 ◽

2022 ◽

pp. 110155

Author(s):

Weicui Chen ◽

Qiurong Wei ◽

Weikang Huang ◽

Jialiang Chen ◽

Shaowei Hu ◽

...

Keyword(s):

Clinical Data ◽

Rectal Adenocarcinoma ◽

Venous Invasion ◽

Diffusion Kurtosis Imaging ◽

Diffusion Kurtosis

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A radiomics model based on DCE-MRI and DWI may improve the prediction of estimating IDH1 mutation and angiogenesis in gliomas

European Journal of Radiology ◽

10.1016/j.ejrad.2021.110141 ◽

2022 ◽

pp. 110141

Author(s):

Jie Wang ◽

Yue Hu ◽

Xuejun Zhou ◽

Shanlei Bao ◽

Yue Chen ◽

...

Keyword(s):

Idh1 Mutation ◽

Dce Mri ◽

Model Based

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Radiomics features based on automatic segmented MRI images: Prognostic biomarkers for triple-negative breast cancer treated with neoadjuvant chemotherapy

European Journal of Radiology ◽

10.1016/j.ejrad.2021.110095 ◽

2022 ◽

Vol 146 ◽

pp. 110095

Author(s):

Mingming Ma ◽

Liangyu Gan ◽

Yinhua Liu ◽

Yuan Jiang ◽

Ling Xin ◽

...

Keyword(s):

Breast Cancer ◽

Neoadjuvant Chemotherapy ◽

Triple Negative Breast Cancer ◽

Triple Negative ◽

Prognostic Biomarkers

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A CT-based radiomics signature for preoperative discrimination between high and low expression of programmed death ligand 1 in head and neck squamous cell carcinoma

European Journal of Radiology ◽

10.1016/j.ejrad.2021.110093 ◽

2022 ◽

Vol 146 ◽

pp. 110093

Author(s):

Ying-mei Zheng ◽

Jin-feng Zhan ◽

Ming-gang Yuan ◽

Feng Hou ◽

Gang Jiang ◽

...

Keyword(s):

Squamous Cell Carcinoma ◽

Cell Carcinoma ◽

Head And Neck ◽

Squamous Cell ◽

Neck Squamous Cell Carcinoma ◽

Programmed Death Ligand 1 ◽

Programmed Death ◽

Radiomics Signature ◽

Low Expression

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Discriminating Benign from Malignant Testicular Masses Using Machine-Learning Based Radiomics Signature of Appearance Diffusion Coefficient Maps: Comparing with Conventional Mean and Minimum ADC Values

European Journal of Radiology ◽

10.1016/j.ejrad.2022.110158 ◽

2022 ◽

pp. 110158

Author(s):

Chanyuan Fan ◽

Kailun Sun ◽

Xiangde Min ◽

Wei Cai ◽

Wenzhi Lv ◽

...

Keyword(s):

Machine Learning ◽

Diffusion Coefficient ◽

Adc Values ◽

Radiomics Signature

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European Journal of Radiology
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Published By Elsevier

Corrigendum to “Rim enhancement on hepatobiliary phase of pre-treatment 3.0 T MRI: A potential marker for early chemotherapy response in colorectal liver metastases treated with XELOX” [Eur. J. Radiol. 143 (2021) 109887]

Corrigendum to “Artificial intelligence in computed tomography plaque characterization: A review” [Eur. J. Radiol. 140 (2021) 109767]

Prognostic Value of Epicardial Adipose Tissue Volume in Combination with Coronary Plaque and Flow Assessment for the Prediction of Major Adverse Cardiac Events

Comparison of Thyroid Nodule FNA Rates Recommended by ACR TI-RADS, Kwak TI-RADS and ATA Guidelines

Burnout and Work-Work Imbalance in Radiology- Wicked Problems on a Global Scale. A Baseline Pre-COVID-19 Survey of US Neuroradiologists Compared to International Radiologists and Adjacent Staff

Combining diffusion kurtosis imaging and clinical data for predicting the extramural venous invasion of rectal adenocarcinoma

A radiomics model based on DCE-MRI and DWI may improve the prediction of estimating IDH1 mutation and angiogenesis in gliomas

Radiomics features based on automatic segmented MRI images: Prognostic biomarkers for triple-negative breast cancer treated with neoadjuvant chemotherapy

A CT-based radiomics signature for preoperative discrimination between high and low expression of programmed death ligand 1 in head and neck squamous cell carcinoma

Discriminating Benign from Malignant Testicular Masses Using Machine-Learning Based Radiomics Signature of Appearance Diffusion Coefficient Maps: Comparing with Conventional Mean and Minimum ADC Values

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European Journal of RadiologyLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Elsevier

Corrigendum to “Rim enhancement on hepatobiliary phase of pre-treatment 3.0 T MRI: A potential marker for early chemotherapy response in colorectal liver metastases treated with XELOX” [Eur. J. Radiol. 143 (2021) 109887]

Corrigendum to “Artificial intelligence in computed tomography plaque characterization: A review” [Eur. J. Radiol. 140 (2021) 109767]

Prognostic Value of Epicardial Adipose Tissue Volume in Combination with Coronary Plaque and Flow Assessment for the Prediction of Major Adverse Cardiac Events

Comparison of Thyroid Nodule FNA Rates Recommended by ACR TI-RADS, Kwak TI-RADS and ATA Guidelines

Burnout and Work-Work Imbalance in Radiology- Wicked Problems on a Global Scale. A Baseline Pre-COVID-19 Survey of US Neuroradiologists Compared to International Radiologists and Adjacent Staff

Combining diffusion kurtosis imaging and clinical data for predicting the extramural venous invasion of rectal adenocarcinoma

A radiomics model based on DCE-MRI and DWI may improve the prediction of estimating IDH1 mutation and angiogenesis in gliomas

Radiomics features based on automatic segmented MRI images: Prognostic biomarkers for triple-negative breast cancer treated with neoadjuvant chemotherapy

A CT-based radiomics signature for preoperative discrimination between high and low expression of programmed death ligand 1 in head and neck squamous cell carcinoma

Discriminating Benign from Malignant Testicular Masses Using Machine-Learning Based Radiomics Signature of Appearance Diffusion Coefficient Maps: Comparing with Conventional Mean and Minimum ADC Values

European Journal of Radiology
Latest Publications