Department of Radiology

Publications

2023

Hong CW, Chernyak V, Choi J-, Lee S, Potu C, Delgado T, et al. A Multicenter Assessment of Interreader Reliability of LI-RADS Version 2018 for MRI and CT. Radiology. 2023;307(5):e222855.

Kim WG, Laor T, Jarrett DY. Physeal injuries of the clavicle: pediatric counterparts to adult acromioclavicular and sternoclavicular joint separations. Pediatr Radiol. 2023;53(8):1513-1525.

Lane EG, Babagbemi K, Mema E, Dodelzon K. Axillary lymphadenopathy following bivalent COVID-19 booster vaccination. Clin Imaging. 2023;95:52-55.

Prince MR, Shaish H. Editorial for "Detecting Muscle Invasion of Bladder Cancer: An Application of Diffusion Kurtosis Imaging Ratio and Vesical Imaging-Reporting and Data System". J Magn Reson Imaging. 2023.

Assaad MA, Shin N, Sigouros M, Manohar J, Antysheva Z, Kotlov N, et al. Deciphering the origin and therapeutic targets of cancer of unknown primary: a case report that illustrates the power of integrative whole-exome and transcriptome sequencing analysis. Front Oncol. 2023;13:1274163.

Calvo-Barreiro L, Zhang L, Abdel-Rahman SA, Naik SP, Gabr M. Gut Microbial-Derived Metabolites as Immune Modulators of T Helper 17 and Regulatory T Cells. Int J Mol Sci. 2023;24(2).

Zhuang H, Cho J, Chiang GC, Kovanlikaya I, Heier LA, Dyke JP, et al. Cerebral oxygen extraction fraction declines with ventricular enlargement in patients with normal pressure hydrocephalus. Clin Imaging. 2023;97:22-27.

2022

Zhang Q, Spincemaille P, Drotman M, Chen C, Eskreis-Winkler S, Huang W, et al. Quantitative transport mapping (QTM) for differentiating benign and malignant breast lesion: Comparison with traditional kinetics modeling and semi-quantitative enhancement curve characteristics. Magn Reson Imaging. 2022;86:86-93.

Kahan J, Ong H, Ch'ang J, Merkler AE, Fink ME, Gupta A, et al. Comparing hematoma characteristics in primary intracerebral hemorrhage versus intracerebral hemorrhage caused by structural vascular lesions. J Clin Neurosci. 2022;99:5-9.

Zhao W, Wang Y, Zhou F, Li G, Wang Z, Zhong H, et al. Automated Segmentation of Midbrain Structures in High-Resolution Susceptibility Maps Based on Convolutional Neural Network and Transfer Learning. Front Neurosci. 2022;16:801618.