Arama

EISSN 1305-3612

IMPACT FACTOR: 2.63 5 YEAR IF: 2.59 SCOPUS CITESCORE: 3.9

Diagnostic and Interventional Radiology

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COVID-19 ARTICLES

COVID-19 radiology CT personnel management

By: Özdemir et al.

Future of IR in the post COVID-19 era

By: Abadal et al.

CT findings to predict hospitalization and intensive care need for COVID-19

By: Tekcan Sanli et al.

Application of percutaneous transluminal sharp recanalization in TIPS

By: Li et al.

Comparison of laboratory-confirmed and clinically diagnosed COVID-19 patients

By: Kuzan et al.

Low-dose chest CT to diagnose COVID-19

By: Aslan et al.

Quantitative chest CT in COVID-19

By: Ufuk et al.

Vascular changes in COVID-19 pneumonia

By: Tekcan Şanlı and Yıldırım.

Use of deep learning in chest X-ray images of COVID-19 patients

By: Blain et al.

HIGHLY CITED ARTICLES

Radiological approach to COVID-19 pneumonia with an emphasis on chest CT

By: Guneyli, S; Atceken, Z; Dogan, H; et al.

Interventional radiology and COVID-19: evidence-based measures to limit transmission

By: Chandy, PE; Nasir, MU; Srinivasan, S; et al.

Technical background of a novel detector-based approach energy computed tomography

By: Hokamp, NG; Maintz, D; Shapira, N; et al.

How imaging should properly be used in COVID-19 outbreak: an Italian experience

By: Sverzellati, N; Milone, F and Balbi, M

Management strategy of novel coronavirus (COVID-19) pneumonia in the radiology department: a Chinese experience

By: An, P; Ye, YJ; Chen, YT; et al.

Comparison of semi-automatic and deep learning-based automatic methods for liver segmentation in living liver transplant donors

By: Kavur, AE; Gezer, NS; Baris, M; et al.

A review on the use of artificial intelligence for medical imaging of the lungs of patients with coronavirus disease 2019

By: Ito, R; Iwano, S and Naganawa, S

COVID-19 S: A new proposal for diagnosis and structured reporting of COVID-19 on computed tomography imaging

By: Gezer, NS; Ergan, B; Baris, MM; et al.

CT findings of COVID-19 in follow-up: comparison between progression and recovery

By: Guan, CS; Wei, LG; Xie, RM; et al.

Rare CT feature in a COVID-19 patient: cavitation

By: Xu, ZF; Pan, AZ and Zhou, HL

IMAGES FROM THE LAST ISSUE

Comparison of diffusion-weighted MRI acquisition techniques for normal pancreas at 3.0 Tesla

Xiu-Zhong Yao , Tiantao Kuang, Li Wu, Hao Feng, Hao Liu, Wei-Zhong Cheng, Sheng-Xiang Rao, He Wang, Meng-Su Zeng

(Diagn Interv Radiol 2014; 20: 368-373) DOI: 10.5152/dir.2014.13454

Abstract Full Text ( PDF) Related Articles

Feasibility of histogram analysis of susceptibility-weighted MRI for staging of liver fibrosis

Zhao-Xia Yang, He-Yue Liang, Xin-Xing Hu, Ya-Qin Huang, Ying Ding, Shan Yang, Meng-Su Zeng , Sheng-Xiang Rao

(Diagn Interv Radiol 2016; 22: 301-307) DOI: 10.5152/dir.2016.15284

Abstract Full Text ( PDF) Related Articles

Value of apparent diffusion coefficient for predicting malignancy of intraductal papillary mucinous neoplasms of the pancreas

Lei Zhang, Sheng-Xiang Rao, Xue-Feng Xu, Dan-Song Wang, Da-Yong Jin, Meng-Su Zeng

(Diagn Interv Radiol 2016; 22: 308-313) DOI: 10.5152/dir.2016.15354

Abstract Full Text ( PDF) Related Articles

Comparison of diffusion-weighted MRI acquisition techniques for normal pancreas at 3.0 Tesla

Feasibility of histogram analysis of susceptibility-weighted MRI for staging of liver fibrosis

Value of apparent diffusion coefficient for predicting malignancy of intraductal papillary mucinous neoplasms of the pancreas

CT volumetry can potentially predict the local stage for gastric cancer after chemotherapy

Magnetic resonance morphologic features predict progression of incidental pancreatic cystic lesions during follow-up

MR quantitative 3D shape analysis helps to distinguish mucinous cystic neoplasm from serous oligocystic adenoma