Bio

Henry Nguyen was born and raised in Abbeville, Louisiana, and is a proud graduate of Xavier University of Louisiana. Before becoming a Stanford medical student in 2022, Henry co-founded organizations dedicated to increasing inclusivity in the fields of competitive athletics, the performing arts, and media production. Stanford’s distinct environment has allowed him to continue nurturing these organizations during medical school, and he has also picked up new projects contributing to cutting-edge innovation in the fields of biotechnology, medical education, and video game design.

Henry has taken classes at Stanford’s law school, business school, and engineering school to augment his MD education. He then applied these skills to assist multiple companies in successfully acquiring venture capital funding, and he continues to serve as a trusted advisor to major Artificial Intelligence firms, such as Synaptiq Learning, Anthropic, and Snorkel AI. Henry is the youngest person to ever be elected to the Stanford Medicine Alumni Board of Governors and has been awarded multiple Stanford-based grants to support his scholarly activity in neuroimaging. Lastly, he has actively supported the Stanford Medicine Radiology Department by reviving the Radiology Interest Group, leading pre-clinical radiology electives, and designing a completely new radiology clerkship.

Henry hopes to follow the example of his mentors by using the unique merits of radiology to combine his passions for clinical care, academic scholarship, and industrial innovation. Most importantly, he plans to dedicate his career to increasing access to state-of-the-art healthcare, so that the advancements of his classmates and colleagues can one day be available to the patients in his hometown.

Education & Certifications

  • BS Neuroscience, Xavier University of Louisiana (2022)

Contact

  • Academic
    hn311712@stanford.edu
    University - Student Department: School of Medicine Position: Graduate, Medicine

Additional Info

  • Mail Code: 5474

All Publications

  • Arterial spin labeling perfusion MRI differentiates between radiation necrosis and tumor in brain metastases treated with stereotactic radiosurgery. Neuro-oncology advances Nguyen, H. H., Ng, N. N., Awasthi, S., Vogel, H., Iv, M. 2025; 7 (1): vdaf091

    Abstract

    Accurate differentiation between radiation necrosis (RN) and tumor in brain metastases (BM) treated with stereotactic radiosurgery (SRS) can be challenging, but it is important because an accurate diagnosis impacts clinical management. In this study, we evaluated the utility of arterial spin labeling perfusion MRI (ASL-MRI) to accomplish this task.We retrospectively evaluated 45 patients with 52 previously irradiated BM who had ASL-MRI prior to surgical resection. Histopathology served as the ground truth diagnosis of tumor and RN. Maximum cerebral blood flow (CBF) values were obtained within the contrast-enhancing lesions of interest and the pons (for normalization) on quantitative ASL-MRI CBF maps. In a subgroup analysis, patients with both pre-SRS and post-SRS ASL-MRIs were included, and CBF values were obtained at both timepoints.Compared with RN, tumor had increased mean absolute and normalized CBF (P < .0001). In the subgroup analysis of patients with pre-SRS and post-SRS ASL-MRIs, change in absolute CBF (∆CBF) and normalized CBF (∆nCBF) of tumor showed higher absolute and percent differences between both timepoints (P < .02). Performance of ∆CBF and ∆nCBF (area under the receiver operating characteristic curve [AUROC] 0.80-0.89) acquired from 2 ASL-MRIs was comparable but not superior to CBF and nCBF (AUROC 0.90) acquired from single timepoint post-SRS ASL-MRI.Increased CBF, whether absolute or normalized, on post-SRS ASL-MRI performed well to differentiate tumor from RN in BMs treated with SRS. Addition of pre-SRS CBF measurements did not improve the performance. ASL-MRI is a promising imaging tool to distinguish RN from tumor in this patient population.

    View details for DOI 10.1093/noajnl/vdaf091

    View details for PubMedID 40575418

    View details for PubMedCentralID PMC12202033

  • Imaging of ICU Devices Clinical-Based Guide to Diagnostic Radiology Nguyen, H., Lee, J., Tsai, E. 2025
  • Relationship of Grey Matter and White Matter Changes the Visibility of Perivascular Space Across Normative Lifespan Veins and Lymphatics Li, C., Nguyen, H., Chen, J., Rusinek, H., Ge, Y. 2022

    View details for DOI 10.4081/vl.2022.10963

  • Imaging of ICU Devices Practical Approach to Thoracic Imaging Nguyen, H., Tsai, E. 2025
  • Imaging of ICU Devices: Pearls and Pitfalls American Roentgen Ray Society Nguyen, H., Mitchell, A., Tsai, E. 2024
  • Health-Related Outcomes of Image-Guided and Non-Image-Guided Lumbar Punctures in Diverse Patient Populations American Society of Neuroradiology Leaston, J., Nguyen, H., Agarwal, A., Iv, M. 2024
  • Arterial Spin Labeling Perfusion MRI Differentiates Between Viable Tumor and Treatment Effect in Suspected Recurrent High-Grade Gliomas Western Society of Neuroradiology Awasthi, S., Ng, N., Nguyen, H., Vogel, H., Mahammedi, A., Iv, M. 2024
  • Arterial Spin Labeling Perfusion MRI Differentiates Between Radiation Necrosis and Tumor in Brain Metastases Treated with Stereotactic Radiosurgery American Society of Neuroradiology Nguyen, H., Ng, N., Awasthi, S., Vogel, H., Iv, M. 2024
  • Characterization of Cerebral Perivascular Space with Advanced MRI: A Lifetime Study Leadership Alliance Symposium Nguyen, H., Li, C., Chen, J., Rusinek, H., Ge, Y. 2021
  • Reliability of Stroke Imaging: A Comprehensive Review National Institutes of Health Diversity Program Consortium Annual Meeting Nguyen, H., Lammle, M. 2021
  • CT Perfusion of the Brain: Pearls and Pitfalls National Institutes of Health BUILD Summer Seminar Series Nguyen, H., Lammle, M. 2020