Radiology, Radiographics (RSNA)

Espacio editorial virtual

Radiology, Radiographics (RSNA)

Performance of Lung Cancer Prediction Models for Screening-detected, Incidental, and Biopsied Pulmonary Nodules

Radiology: Artificial Intelligence 2025; 7(2):e230506

Li TZ, Xu K, Krishnan A, Gao R, Kammer MN, Antic S, Xiao D, Knight M, Martinez Y, Paez R, Lentz RJ, Deppen S, Grogan EL, Lasko TA, Sandler KL, Maldonado F, Landman BA.

Prognostic Value of Myocardial Parametric Mapping in Patients with Acute Myocarditis: A Retrospective Study

Radiology: Cardiothoracic Imaging 2025; 7(1):e240125

Wang Y, Duan X, Zhu L, Xu J, Zhou D, Yang W, Jiang M, Zhang H, Sirajuddin A, Arai AE, Zhao S, Wang H, Lu M.

Development and Validation of a Deep Learning Model Based on MRI and Clinical Characteristics to Predict Risk of Prostate Cancer Progression

Radiology: Imaging Cancer

Christian Roest, Thomas C. Kwee, Igle J. de Jong, Ivo G. Schoots, Pim van Leeuwen, Stijn W. T. P. J. Heijmink, Henk G. van der Poel, Stefan J. Fransen, Anindo Saha, Henkjan Huisman y Derya Yakar

Prediction of Major Adverse Coronary Events Using the Coronary Risk Score in Women

Radiol Cardiothorac Imaging. 2024 Dec;6(6):e230381

Romero-Farina G, Aguadé-Bruix S, Ferreira-González I.

Clinically Relevant Extracardiac Findings at Cardiac Imaging: Insights from the European MR/CT Registry

Radiol Cardiothorac Imaging. 2024 Oct;6(5):e240117

Moser LJ, Gutberlet M, Vliegenthart R, Francone M, Budde RPJ, Salgado R, Hrabak Paar M, Pirnat M, Loewe C, Nikolaou K, Williams MC, Muscogiuri G, Natale L, Gohmann RF, Lücke C, Eberhard M, Alkadhi H.