Department of Radiology

Publications

2019

Zhang J, Kim SG. Estimation of cellular-interstitial water exchange in dynamic contrast enhanced MRI using two flip angles. NMR Biomed. 2019;32(11):e4135.

Seligman L, Kovanlikaya I, Pisapia DJ, Naeger DM, Magge R, Fine HA, et al. Integrated PET-MRI for Glioma Surveillance: Perfusion-Metabolism Discordance Rate and Association With Molecular Profiling. AJR Am J Roentgenol. 2019;212(4):883-891.

Pandit-Taskar N, Zanzonico PB, Kramer K, Grkovski M, Fung EK, Shi W, et al. Biodistribution and Dosimetry of Intraventricularly Administered I-Omburtamab in Patients with Metastatic Leptomeningeal Tumors. J Nucl Med. 2019;60(12):1794-1801.

Weidman EK, Schweitzer AD, Niogi SN, Brady EJ, Starikov A, Askin G, et al. Diffusion tensor imaging and quantitative susceptibility mapping as diagnostic tools for motor neuron disorders. Clin Imaging. 2019;53:6-11.

Rahmim A, Lodge MA, Karakatsanis NA, Panin VY, Zhou Y, McMillan A, et al. Dynamic whole-body PET imaging: principles, potentials and applications. Eur J Nucl Med Mol Imaging. 2019;46(2):501-518.

Li C, Ye J, Peng Y, Dou W, Shang S, Wu J, et al. Evaluation of diffusion kurtosis imaging in stratification of nonalcoholic fatty liver disease and early diagnosis of nonalcoholic steatohepatitis in a rabbit model. Magn Reson Imaging. 2019;63:267-273.

Melsaether AN, Kim E, Mema E, Babb J, Kim SG. Preliminary study: Breast cancers can be well seen on 3T breast MRI with a half-dose of gadobutrol. Clin Imaging. 2019;58:84-89.

Fossati S, Cejudo JR, Debure L, Pirraglia E, Sone JY, Li Y, et al. Plasma tau complements CSF tau and P-tau in the diagnosis of Alzheimer's disease. Alzheimers Dement (Amst). 2019;11:483-492.

Lee H-, Yaros K, Veraart J, Pathan JL, Liang F-, Kim SG, et al. Along-axon diameter variation and axonal orientation dispersion revealed with 3D electron microscopy: implications for quantifying brain white matter microstructure with histology and diffusion MRI. Brain Struct Funct. 2019;224(4):1469-1488.

Zhang S, Chiang GC, Magge RS, Fine HA, Ramakrishna R, Chang EW, et al. Texture analysis on conventional MRI images accurately predicts early malignant transformation of low-grade gliomas. Eur Radiol. 2019;29(6):2751-2759.