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Jenny K Hoang, M.B.A., M.B.B.S., M.H.S.

Photo of Dr. Jenny K Hoang, M.B.A., M.B.B.S., M.H.S.
  • Vice Chair of Radiology Enterprise Integration
  • Associate Professor of Radiology and Radiological Science
Female

Expertise

Neuroradiology

Research Interests

Thyroid nodules and thyroid cancer; 4DCT Parathyroid imaging

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Insurance Information

Maryland

443-997-7237

Outside of Maryland

410-464-6641
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International Patients

+1-410-502-7683
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Locations

The Johns Hopkins Hospital (Main Entrance)

Appointment Phone: 443-997-7237
1800 Orleans St.
Baltimore, MD 21287 map
Phone: 410-955-4100

Johns Hopkins Outpatient Center

Appointment Phone: 443-997-7237
601 N. Caroline St.
Baltimore, MD 21287 map
Phone: 410-955-4100

Johns Hopkins Bayview Medical Center

Appointment Phone: 443-997-7237
4940 Eastern Avenue
Baltimore, MD 21224 map
Phone: 443-997-1811

Johns Hopkins Medicine - White Marsh

Appointment Phone: 443-997-7237
4924 Campbell Boulevard
Suite 105
White Marsh, MD 21236 map
Phone: 443-442-2400

Johns Hopkins Medical Imaging - Columbia

Appointment Phone: 443-997-7237
11055 Little Patuxent Parkway
Columbia Medical Center, Suite L9
Columbia, MD 21044 map
Phone: 443-574-5800

Johns Hopkins Medicine - Green Spring Station

Appointment Phone: 443-997-7237
10803 Falls Road
Pavilion III, Suite 1100
Lutherville, MD 21093 map
Phone: 410-583-2700 | Fax: 443-451-6986

Johns Hopkins Medical Imaging - Bethesda

Appointment Phone: 443-997-7237
6420 Rockledge Drive
Suite 3100
Bethesda, MD 20817 map
Phone: 301-897-5656 | Fax: 301-897-7333

Background

Dr. Jenny Hoang is an Associate Professor of Radiology at Johns Hopkins Medicine where she is the Vice Chair of the Radiology Enterprise Integration, Medical Director of Johns Hopkins Imaging, and the Interim Breast Imaging Division Chief. Dr. Hoang earned her M.B.B.S. from the University of Melbourne, completed diagnostic radiology residency at St. Vincent’s Hospital in Melbourne, Australia, and completed fellowships in neuroradiology and cardiothoracic radiology at Duke University Medical Center. Dr. Hoang is a lifelong learner - she graduated with a Masters in Health Science from Duke University. In December 2019 she completed an executive MBA class at the Duke Fuqua School of Business and graduated in the top 10% of her class (Fuqua Scholar).

Her career is accentuated by her strong involvement in research and education. She has published more than 110 peer-reviewed articles with a focus on thyroid and parathyroid imaging. She led the American College of Radiology (ACR) efforts in producing a White Paper on Incidental Thyroid Findings and was a core member of the ACR TI-RADS committee for thyroid ultrasound. She serves on several ACR committees including the Incidental Findings Committee.

Dr. Hoang is the principal investigator for an ACRIN funded study using ACR's Multicenter Thyroid Ultrasound Registry. She is a popular a faculty lecturer at national and international meetings. She is also well known for actively educating and advocating on Twitter as @JennyKHoang

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Titles

  • Vice Chair of Radiology Enterprise Integration
  • Medical Director of Johns Hopkins Imaging
  • Interim Breast Imaging Division Chief
  • Associate Professor of Radiology and Radiological Science

Departments / Divisions

Education

Degrees

  • MBBS, Faculty Of Medicine University Of Melbourne (1999)

Residencies

  • St Vincents Hospital Melbourne / Medicine (2002)
  • St Vincents Hospital Melbourne / Radiology (2006)

Fellowships

  • St Vincents Hospital Melbourne (2007)
  • Duke University School of Medicine (2008)
  • Duke University School of Medicine / Neuroradiology (2009)

Board Certifications

  • American Board of Radiology / Radiology-Diagnostic (2015)

Research & Publications

Selected Publications

Buda M, Wildman-Tobriner B, Hoang JK, Thayer D, Tessler FN, Middleton WD, Mazurowski MA. Management of Thyroid Nodules Seen on US Images: Deep Learning May Match Performance of Radiologists. Radiology. 2019 Jul 9:181343. doi:10.1148/radiol.2019181343. [Epub ahead of print] PubMed PMID: 31287391.

Wildman-Tobriner B, Buda M, Hoang JK, Middleton WD, Thayer D, Short RG, Tessler FN, Mazurowski MA. Using Artificial Intelligence to Revise ACR TI-RADS Risk Stratification of Thyroid Nodules: Diagnostic Accuracy and Utility. Radiology. 2019 Jul;292(1):112-119. doi: 10.1148/radiol.2019182128. Epub 2019 May 21. PubMed PMID: 31112088.

Expert Panel on Neurological Imaging:, Hoang JK, Oldan JD, Mandel SJ, Policeni B, Agarwal V, Burns J, Bykowski J, Harvey HB, Juliano AF, Kennedy TA, Moonis G, Pannell JS, Parsons MS, Schroeder JW, Subramaniam RM, Whitehead MT, Corey AS. ACR Appropriateness Criteria(®) Thyroid Disease. J Am Coll Radiol. 2019 May;16(5S):S300-S314. doi: 10.1016/j.jacr.2019.02.004. PubMed PMID: 31054756

Hoang JK, Middleton WD, Farjat AE, Teefey SA, Abinanti N, Boschini FJ, Bronner AJ, Dahiya N, Hertzberg BS, Newman JR, Scanga D, Vogler RC, Tessler FN. Interobserver Variability of Sonographic Features Used in the American College of Radiology Thyroid Imaging Reporting and Data System. AJR Am J Roentgenol. 2018 Jul;211(1):162-167. doi: 10.2214/AJR.17.19192. Epub 2018 Apr 27. PubMed PMID: 29702015.

Hoang JK, Middleton WD, Farjat AE, Langer JE, Reading CC, Teefey SA, Abinanti N, Boschini FJ, Bronner AJ, Dahiya N, Hertzberg BS, Newman JR, Scanga D, Vogler RC, Tessler FN. Reduction in Thyroid Nodule Biopsies and Improved Accuracy with American College of Radiology Thyroid Imaging Reporting and Data System. Radiology. 2018 Apr;287(1):185-193. doi: 10.1148/radiol.2018172572. Epub 2018 Mar 2. PubMed PMID: 29498593.

Activities & Honors

Honors

  • 2012 ASTRO Travel Grant, Multidisciplinary Head and Neck Symposium, Phoenix, 2012
  • 2012 Best Scientific Presentation in Head and Neck, ASNR, 2012
  • Resident Teaching award for faculty member, Duke University, 2019
  • Innovation Grant, ACR, 2017 - 2019

Patient Ratings & Comments

The Patient Rating score is an average of all responses to physician related questions on the national CG-CAHPS Medical Practice patient experience survey through Press Ganey. Responses are measured on a scale of 1 to 5, with 5 being the best score. Comments are also gathered from our CG-CAHPS Medical Practice Survey through Press Ganey and displayed in their entirety. Patients are de-identified for confidentiality and patient privacy.

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