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Stella K. Kang, MD

  • Specialty: Abdominal Imaging
  • Language: English
  • Phone: 212-263-6246
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  • Assistant Professor, Department of Radiology
  • Assistant Professor, Department of Population Health
  • Director, Comparative Effectiveness and Outcomes Research, Department of Radiology
Education and Training
  • Fellowship, Massachusetts General Hospital, Abdominal Imaging, 2013
  • Residency, NYU School of Medicine, Radiology, 2012
  • MD from Cornell University, 2007

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NYU Radiology Associates

660 1st Avenue, 1st Floor
New York, NY 10016

Research My Research


cancer care, comparative effectiveness research, decision science

Research Summary

Personal Statement

I am an abdominal radiologist with joint appointments in the Departments of Radiology and Population Health. My major research focus is in guiding the application of imaging technology to medical decision-making and to cancer detection. For this work I apply methods of decision science, health technology assessment, and health communication. Areas of interest include personalized treatment decisions for early-stage indolent cancers, such as small kidney tumors, and the comparative effectiveness of diagnostic testing strategies for various clinical conditions. I serve as PI of an NCI K07 award studying personalized treatment decisions for small renal tumors, for which I have constructed a disease simulation model for renal function and renal cancers. I also serve as co-PI of an AHRQ P30 grant focusing on design and implementation of communication strategies for incidental lesions on medical imaging. Applying the perspectives of both providers and patients, we develop standardized recommendations that are electronically embedded in radiology reports for incidental lesions, and assess outcomes of appropriate follow up imaging and clinical care.

Other Professional Positions and Visiting Appointments

2002-2003       Instructor, English Composition/Conversation, Jiao Tong University, Shanghai, China

2013                Teaching Fellow, Advanced Topics in Decision-Making, Erasmus University Medical Center, Rotterdam, Netherlands

2013                Teaching Fellow, Advanced Medical Decision-Making, Harvard School of Public Health

Other Experience and Professional Memberships

2007-               Member, Radiological Society of North America

2008-               Member, American Association for Women Radiologists

2008-               Member, International Society for Magnetic Resonance in Medicine

2009-               Member, Association of University Radiologists (AUR)

2010-2011       Steering Committee, American Alliance of Academic Chief Residents in Radiology (A3CR2)

2012-               Member, Society of Medical Decision Making

2013-               Member, AUR Radiology Alliance for Health Services Research (RAHSR)

2013-               Member, Society of Abdominal Radiology

2013-               Member, American Roentgen Ray Society

2013-               Member, American College of Radiology (ACR)

2014-               Member, ACR Appropriateness Criteria Committee for Women’s Imaging

2016-               Member, ACR Ad-Hoc Science Committee

2016-               Member, ACR Subcommittee on Methodology

2016-2018       Associate Program Chair, Radiology Alliance for Health Services Research

2018-               Program Chair, Radiology Alliance for Health Services Research


1998-2002       Plan II Honors Program, College of Liberal Arts, University of Texas at Austin

1998-2002       Dean’s Scholars Program, College of Natural Sciences, University of Texas at Austin

2000                Friends of Chemistry Scholarship, University of Texas at Austin

2000-2002       Undergraduate Research Fellowship, University of Texas at Austin

2000                Ralph Steiner, M.D. Scholarship, University of Texas at Austin

2000                Unrestricted Endowed Presidential Scholarship, University of Texas at Austin

2001                Beckman Scholar, Arnold O. Beckman Foundation

2002                Phi Beta Kappa

2004                Ferdinand Valentine Student Research Grant in Urology, NY Academy of Medicine

2006                Alpha Omega Alpha Honor Society

2006                Memorial Sloan-Kettering Cancer Center Summer Research Fellowship

2007                M.D. with Honors in Research and Academic Distinction

2007                Alan Von Kreuter Cancer Research Prize, Weill Cornell Medical College

2010                Radiological Society of North America Research & Education Foundation Resident Award

2011                ISMRM Educational Stipend for Students, Postdoctoral, and Clinical Trainees

2012                Best in Session, Moderated Poster Session, American Urological Association annual meeting

2012                Radiological Society of North America Trainee Research Prize

2013                Association of University Radiologists-General Electric Radiology Research Academic Fellowship Award

2016                Cum Laude award, Society of Abdominal Radiologists annual meeting

2015-2017       Reviewer with Special Distinction, Editor’s Recognition Awards, Radiology

2017                Recognition of Exceptional Manuscript Review, Journal of the American College of Radiology           

 Contribution to Science


  1. Imaging Evaluation of Renal Tumors. My early research focus was in imaging characterization of renal tumors. Renal tumors are most often discovered as incidental lesions at cross-sectional imaging. Aside from a limited number of benign diagnoses that can be made definitively at imaging, most of these lesions have nonspecific imaging features and are treated as presumed cancers. Thus, the current treatment standard is resection of all solid enhancing renal tumors. However, 25% of resected renal masses are benign, and even among the cancers, most are highly indolent with low potential for metastasis. I have examined imaging features of renal tumors to assist with decision-making, including comparison of growth rates of benign and malignant tumors undergoing surveillance and MRI prediction of tumor types and grades.
  • Zhang J, Kang SK, Wang L, Touijer A, Hricak H. Distribution of renal tumor growth rates determined by using serial volumetric CT measurements. Radiology. 2009 Jan;250(1):137-44. AJR Am J Roentgenol. 2016 Aug;207(2):344-53. PMID 27305103
  • Chandarana H, Kang SK, Wong S, Rusinek H, Zhang JL, Arizono S, Huang WC, Melamed J, Babb JS, Suan EF, Lee VS, Sigmund EE. Diffusion-weighted intravoxel incoherent motion imaging of renal tumors with histopathologic correlation. Invest Radiol. 2012 Dec;47(12):688-96. PMID 22996315
  • Kang SK, Chandarana H. Contemporary imaging of the renal mass. Urol Clin North Am. 2012 May;39(2):161-70. PMID 22487759
  • Chandarana H, Amarosa A, Huang WC, Kang SK, Taneja S, Melamed J, Kim S. High temporal resolution 3D gadolinium-enhanced dynamic MR imaging of renal tumors with pharmacokinetic modeling: preliminary observations. J Magn Reson Imaging. 2013 Oct;38(4):802-8. PMID 23389833

       2.Measurement of Surgical Effects on Renal Function in Patients with Renal Tumors. The standard treatment for renal tumors is surgical resection, using nephrectomy or partial nephrectomy. These surgeries also have deleterious effects upon renal function, however, due to surgically induced ischemia and resection              of normal kidney tissue surrounding the tumor. We used functional renal MRI in the patients with renal tumors undergoing surgery to quantify changes from baseline kidney function. This innovative MRI technique, developed at NYU, allows for measurement of individual kidney function using a 10-minute sequence              as an adjunct to routine MRI indicated for preoperative planning. A prospective study was conducted to measure changes in renal function after partial nephrectomy, correlating with differing surgical approaches and risk factors for functional harms.

  • Kang SK, Huang WC, Wong S, Zhang JL, Stifelman MD, Bruno MT, Babb JS, Lee VS, Chandarana H. Dynamic contrast-enhanced magnetic resonance imaging measurement of renal function in patients undergoing partial nephrectomy: preliminary experience. Invest Radiol. 2013 Oct;48(10):687-92. PMCID: PMC3766451.
  • Kang SK, Huang WC, Lee VS, Chandarana H. MR renographic measurement of renal function in patients undergoing partial nephrectomy. AJR Am J Roentgenol. 2013 Jun;200(6):1204-9. PMID 23701054 

       3.Assessment of Diagnostic Test Performance for Applications of Abdominopelvic Imaging. Diagnostic test performance must be characterized to assess potential impact of the test on patient health outcomes. I have performed assessment of diagnostic test accuracy in abdominal and pelvic disease processes, using              both retrospective study design with reader-based evaluation of test performance, as well as a meta-analytic approach. I have performed meta-analysis of studies on diffusion weighted imaging for assessment of renal tumors and prostate tumors, and also for performance of liver MRI in detection of small                              hepatocellular carcinomas. Meta-regression identified factors related to imaging technique that improved diagnostic accuracy, and may be relevant to policy regarding technical parameters for diagnosis of hepatocellular carcinoma in liver transplantation candidates.

  • Kang SK, Hoffman D, Ferket B, Kim MI, Braithwaite RS. Risk-stratified versus Non-Risk-stratified Diagnostic Testing for Management of Suspected Acute Biliary Obstruction: Comparative Effectiveness, Costs, and the Role of MR Cholangiopancreatography. Radiology. 2017 Mar 16:161714. PMID: 28301778
  • Shaish H, Kang SK, Rosenkrantz AB. The utility of quantitative ADC values for differentiating high-risk from low-risk prostate cancer: a systematic review and meta-analysis. Abdom Radiol (NY). 2017 Jan;42(1):260-270.PMID 27562768
  • Kang SK, Giovanniello G, Kim S, Bedell S, Babb JS, Bennett GL. Performance of multidetector CT in the evaluation of the endometrium: Measurement of endometrial thickness and detection of disease. Clin Radiol. 2014 Nov;69(11):1123-8. PMID 25060929
  • Kierans AS, Kang SK, Rosenkrantz AB. The diagnostic performance of dynamic contrast-enhanced mr imaging for detection of small hepatocellular carcinoma measuring up to 2 cm: a meta-analysis. Radiology. 2016 Jan;278(1):82-94. PMID 26098460

Research Support

Ongoing Research Support

1K07CA197134-01A1 (Kang, S.) -  08/01/16 - 05/31/21


Patient-Centered Decision-Making for Management of Small Renal Tumors

We will determine the optimal management strategies for patients with small kidney tumors, and create tools to communicate personalized harms and benefits of treatment options and promote shared decision-making.

Role: PD/PI

5P30HS024376-03 (Horowitz, L.)   -  09/30/15 - 09/29/19                



The NYU Patient Imaging Quality and Safety Laboratory (PIQS Lab) will be a multidisciplinary, dynamic learning environment focused on improving safety and outcomes for patients undergoing radiology tests and procedures. All projects will examine radiology imaging failures through similar conceptual lenses of shared sense making (making sense of dynamic and ambiguous information without oversimplifying or ignoring discordant data) and sociotechnical systems (nature of the work, human-system interfaces , organization, environment, management).

Role: Co-PI

1R25EB020389-01A1 (Recht, M., Braithwaite, R.S. & Aliferis, C.) - 09/30/15 - 06/30/18


Discovering the Value of Imaging: A Collaborative Training Program in Biomedical Big Data and Comparative Effectiveness Research for the Field of Radiology

This proposal addresses a systemic lack of evidence-based use of imaging by developing a collaborative training program in comparative effectiveness research (CER) and biomedical big data that will be accessible to a large number of imagers and imaging trainees.

Role: Co-Investigator

Strategic Alignment Grant (Kang, S.) - 06/30/16 – 07/30/18

Association of University Radiologists

Value of Imaging Through Comparative Effectiveness (VOICE) Research Program: A Collaborative Training Program in Biomedical Big Data and Comparative Effectiveness Research for the Field of Radiology

This program will directly support the education and career development of academic radiologists who will serve as CER investigators and teachers on a local and national level.


Completed Research Support (past three years)

GERRAF (Kang, S.) -   07/01/13 - 06/30/16

Association of University Radiologists

Advanced MRI for Triaging Renal Mass Management: A Patient-Centered Approach

The goal is to develop a patient-centered approach for managing renal masses, taking advantage of newly developed anatomic and functional MRI techniques.

Role: Principal Investigator


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660 First Avenue

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New York, NY 10016




Read All Publications (49)

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