Steve H. Fung, MD

Assistant Professor of Radiology, Institute for Academic Medicine
Medical Director, MRI Core & Assistant Clinical Member, Research Institute
Houston Methodist
Weill Cornell Medical College


Biography

Dr. Steve H. Fung is a neuroradiologist at the Houston Methodist Hospital, Assistant Professor of Radiology at Weill Cornell Medical College, and Medical Director of the MRI Core at the Houston Methodist Research Institute. He graduated from the University of Texas at Austin with B.S., Highest Honors in Electrical Engineering and B.S., Highest Honors in Zoology (Neuroscience) with concentrations in mathematics and physics in 1995. He earned his M.D. from Harvard Medical School, Harvard/MIT Division of Health Sciences and Technology in 2000. His research includes work in electrophysiology, MRI, optics, ultrasound, signal and image processing. He was a postdoctoral fellow in molecular imaging at the National Institutes of Health, analyzing tumor microvasculature, modulating blood-brain barrier for enhanced drug delivery, refining and understanding limitations of various kinetic models used for estimating perfusion and permeability with dynamic contrast imaging. He was also a clinical fellow in neuroradiology at the Massachusetts General Hospital, where he worked in stroke-related research, including application of DTI in acute and chronic ischemic stroke and multivariate logistic model using CT perfusion to predict functional deficits and outcome, and clinical application of fMRI and DTI for presurgical planning. As a member of the Houston Methodist Research Institute, his research interests are in advanced MRI applications that can be applied broadly to a wide spectrum of CNS diseases, including cerebrovascular, neoplastic, and neurodegenerative diseases. He is a regular reviewer for several radiology and neuroradiology journals, including AJNR American Journal of Neuroradiology since 2008.

Description of Research

-Applying advanced MRI techniques to evaluate diseases of the central nervous system, including brain tumors, cerebrovascular disease/stroke, dementia/neurodegenerative diseases, and epilepsy, to grade severity of disease and predict outcome.

-Using ASL MRI to determine regional variation of cerebral perfusion and cerebrovascular reactivity in disease states and serial changes in perfusion in response to therapeutic intervention.
-Evaluating functional connectivity using task-based and resting state functional MRI in normal and disease states.
-Analyzing tumor microvasculature and modulating the blood brain barrier for enhanced drug delivery.
Understanding limitations of kinetic models for estimating perfusion and permeability.
-Developing techniques for molecular imaging, controlled drug release, and enhanced drug delivery.

Areas Of Expertise

MRI fMRI DTI DCE-MRI ASL
Education & Training

Residency, The University of Texas Health Science Center at Houston
Research Fellowship, Imaging Sciences Training Program/National Institutes of Health
Internship, Harbor Hospital/Johns Hopkins University
MD, Harvard Medical School
Clinical Fellowship, Harvard Medical School
Publications

Sleep-Disordered Breathing and Idiopathic Normal-Pressure Hydrocephalus: Recent Pathophysiological Advances
Roman, GC, Jackson, RE, Fung, SH, Zhang, YJ & Verma, A 2019, Current Neurology and Neuroscience Reports, vol. 19, no. 7, 39. https://doi.org/10.1007/s11910-019-0952-9

Reply: Letter to The Editor on “Idiopathic normal-pressure hydrocephalus and obstructive sleep apnea are frequently associated: A prospective cohort study” Journal of the Neurological Sciences 395 (2018) 164–168
Roman, GC, Verma, A, Zhang, YJ & Fung, SH 2019, Journal of the Neurological Sciences, vol. 397. https://doi.org/10.1016/j.jns.2019.01.004

“Ears of the lynx” MRI sign is associated with SPG11 and SPG15 hereditary spastic paraplegia
Pascual, MB, De Bot, ST, Daniels, MR, França, MC, Toro, C, Riverol, M, Hedera, P, Bassi, MT, Bresolin, N, Van De Warrenburg, BP, Kremer, B, Nicolai, J, Charles, P, Xu, J, Singh, S, Patronas, NJ, Fung, SH, Gregory, MD & Masdeu, JC 2019, American Journal of Neuroradiology, vol. 40, no. 1, pp. 199-203. https://doi.org/10.3174/ajnr.A5935

Idiopathic normal-pressure hydrocephalus and obstructive sleep apnea are frequently associated: A prospective cohort study
Román, GC, Verma, AK, Zhang, YJ & Fung, SH 2018, Journal of the Neurological Sciences, vol. 395, pp. 164-168. https://doi.org/10.1016/j.jns.2018.10.005

Advanced neuroimaging in Balo's concentric sclerosis: MRI, MRS, DTI, and ASL perfusion imaging over 1 year
Yeo, CJJ, Hutton, GJ & Fung, SH 2018, Radiology Case Reports, vol. 13, no. 5, pp. 1030-1035. https://doi.org/10.1016/j.radcr.2018.04.010

Craniomaxillofacial Bony Structures Segmentation from MRI with Deep-Supervision Adversarial Learning
Zhao, M, Wang, L, Chen, J, Nie, D, Cong, Y, Ahmad, S, Ho, A, Yuan, P, Fung, SH, Deng, HH, Xia, JJ & Shen, D 2018, . in Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 - 21st International Conference, 2018, Proceedings. vol. 11073, Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, Springer-Verlag, pp. 720-727, 21st International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2018, Granada, Spain, 9/16/18. https://doi.org/10.1007/978-3-030-00937-3_82

The long-term sequelae of palliative radiation therapy to lumbosacral spine using conventional PA-single portal technique
Hsiao, KY, Wang, HC, Fung, SH, Haque, WM, Butler, EB & Teh, BS 2018, Practical radiation oncology. https://doi.org/10.1016/j.prro.2018.04.003

Transulcal parafascicular minimally invasive approach to deep and subcortical cavernomas: technical note
Scranton, RA, Fung, SH & Britz, GW 2016, Journal of Neurosurgery, vol. 125, no. 6, pp. 1360–1366. https://doi.org/10.3171/2015.12.JNS152185

Technical pitfalls of signal truncation in perfusion MRI of glioblastoma
Wong, KK, Fung, SH, New, PZ & Wong, STC 2016, Frontiers in Neurology, vol. 7, no. AUG, 121, pp. 121. https://doi.org/10.3389/fneur.2016.00121

Paramagnetic Gd3+ labeled red blood cells for magnetic resonance angiography
Aryal, S, Stigliano, C, Key, J, Ramirez, M, Anderson, J, Karmonik, C, Fung, SH & Decuzzi, P 2016, Biomaterials, vol. 98, pp. 163-170. https://doi.org/10.1016/j.biomaterials.2016.05.002

Epithelioid glioblastoma presenting as massive intracerebral hemorrhage: Case report and review of the literature
Liebelt, B, Boghani, Z, Takei, H, Fung, SH & Britz, GW 2015, Surgical Neurology International, vol. 6, no. 3, pp. S97-S100. https://doi.org/10.4103/2152-7806.153643

Glioblastoma Presenting with Pure Alexia and Palinopsia Involving the Left Inferior Occipital Gyrus and Visual Word Form Area Evaluated with Functional Magnetic Resonance Imaging and Diffusion Tensor Imaging Tractography
Huang, M, Baskin, DS & Fung, SH 2015, World Neurosurgery. https://doi.org/10.1016/j.wneu.2015.12.071

Quantifying cerebrovascular reactivity and identifying regions at risk from cerebrovascular steal with arterial spin labeling
Fung, SH, Diaz, O, Klucznik, RP, Zhang, Y, Britz, GW, Volpi, J, Thomas, AP & Chiu, D 2015, Interventional Neuroradiology, vol. 21S1.

Correlation of imaging with pathology
Fung, SH & Singh, SK 2015, . in A Rivera & H Takei (eds), Advances in Surgical Pathology: Brain Cancer. Lippencott Williams & Wilkins, Philadelphia, PA.

Functional magnetic resonance imaging during urodynamic testing identifies brain structures initiating micturition
Shy, M, Fung, SH, Boone, TB, Karmonik, C, Fletcher, SG & Khavari, R 2014, Journal of Urology, vol. 192, no. 4, pp. 1149-1154. https://doi.org/10.1016/j.juro.2014.04.090

Diffusion tensor imaging in traumatic optic tract syndrome
Al-Zubidi, N, Ansari, W, Fung, SH & Lee, AG 2014, Journal of Neuro-Ophthalmology, vol. 34, no. 1, pp. 95-98. https://doi.org/10.1097/WNO.0000000000000069

Diffusion-weighted imaging in posterior ischemic optic neuropathy
Al-Zubidi, N, Stevens, S, Fung, SH & Lee, AG 2014, Canadian Journal of Ophthalmology, vol. 49, no. 1. https://doi.org/10.1016/j.jcjo.2013.11.003

A graph-theoretical analysis algorithm for quantifying the transition from sensory input to motor output by an emotional stimulus
Karmonik, C, Fung, SH, Dulay, MF, Verma, A & Grossman, RG 2013, . in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS., 6609765, pp. 1374-1377, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013, Osaka, Japan, 7/3/13. https://doi.org/10.1109/EMBC.2013.6609765

Graph theoretical connectivity analysis of the human brain while listening to music with emotional attachment: Feasibility study
Karmonik, C, Brandt, AK, Fung, SH, Grossman, RG & Frazier, JT 2013, . in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS., 6611050, pp. 6526-6529, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013, Osaka, Japan, 7/3/13. https://doi.org/10.1109/EMBC.2013.6611050

Comparison of functional network integrity in TBI and orthopedic controlpatientsusing graph-theoretical analysis
Karmonik, C, Clark, J, Fung, SH, Grossman, RG, High, W & Jiang, Y 2013, . in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS., 6609763, pp. 1366-1369, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013, Osaka, Japan, 7/3/13. https://doi.org/10.1109/EMBC.2013.6609763

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