Northwestern University Feinberg School of Medicine

Department of Radiology

Quantitative Imaging Core Lab

About Us

Quantitative Imaging Core Lab (QICL) of the Department of Radiology at Northwestern University - Feinberg School of Medicine provides consistent, standardized, and high-quality medical image analysis for clinical research trials.

The QICL is co-directed by Vahid Yaghmai, MD and Riad Salem, MD, MBA. Our team includes world's leading experts in Radiology and Interventional Oncology who provide a unique set of knowledge and skills.  

Affiliation with Robert H. Lurie Comprehensive Cancer Center of Northwestern University

Quantitative Imaging Core Lab is affiliated with the Robert H. Lurie Comprehensive Cancer Center of Northwestern University. The Robert H. Lurie Comprehensive Cancer Center is one of only 41 NCI-designated "Comprehensive" cancer centers in the nation and is a NCI designated Center for Quantitative Imaging Excellence (NCI-CQIE). In addition, the Lurie Cancer Center is a founding member of the National Comprehensive Cancer Network (NCCN), an alliance of 23 of the world's leading cancer centers dedicated to improving the quality and effectiveness of care provided to patients with cancer.

Services

We provide a comprehensive set of quantitative imaging services for oncologic clinical trials, in particular for evaluation of responses to cancer therapies. At present, the QICL analyzes medical images for over 30 clinical trials.

Our quantitative imaging services in Oncology include response to therapy assessment for various cancers:

Our sub-specialized expert radiologists provide consultation for best imaging protocols in clinical trials. Many of our radiologists are members of the ACR Appropriateness Criteria expert panels.

Technology

Quantitative Imaging Core Lab is equipped with the state of the art imaging solutions for diagnosis, staging, follow-up assessment, and monitoring in oncology. The QICL provides a high level of automation in order to reduce variability and guarantee consistency in quality.

Our imaging solutions provide 2D, 3D, and 4D image analysis capabilities for various study types:

  • Computed Tomography (CT)
  • Magnetic Resonance Imaging (MRI)
  • PET
  • Computed Radiography Images

The QICL makes quantitative measurements of lesions according to accepted techniques and assessment criteria standards such as:

Research

Our research priorities reflect the interests in development and evaluation of new imaging biomarkers and automated imaging solutions to obtain functional and structural characteristics of tumor.

Recent publications:

  1. Pedram Rezai, Mark J. Pisaneschi, Chun Feng and Vahid Yaghmai, “A Radiologist's Guide to Treatment Response Criteria in Oncologic Imaging: Functional, Molecular, and Disease-Specific Imaging Biomarkers”, American Journal of Roentgenology 201.2 (2013): 246-256.
  2. Yang Guo, Vahid Yaghmai, Riad Salem, Robert J. Lewandowski, Paul Nikolaidis, Andrew C. Larson, Frank H. Miller, “Imaging tumor response following liver-directed intra-arterial therapy”, Abdominal imaging (2013): 1-14.
  3. Vahid Yaghmai, Cecilia Besa, Edward Kim, Joseph L. Gatlin, Nasir A. Siddiqui and Bachir Taouli, “Imaging Assessment of Hepatocellular Carcinoma Response to Locoregional and Systemic Therapy”, American Journal of Roentgenology 201.1 (2013): 80-96.
  4. Salem R, Miller FH, Yaghmai V, Lewandowski RJ., “Response assessment methodologies in hepatocellular carcinoma: complexities in the era of local and systemic treatments”, J Hepatol. 2013 Jun; 58(6):1260-1262.
  5. Catherine Dewhurst, Max P. Rosen, Michael A. Blake, Mark E. Baker, Brooks D. Cash, Jeff L. Fidler, Frederick L. Greene, Nicole M. Hindman, Bronwyn Jones, Douglas S. Katz, Tasneem Lalani, Frank H. Miller, William C. Small, Gary S. Sudakoff, Mark Tulchinsky, Vahid Yaghmai, Judy Yee, “ACR Appropriateness Criteria pretreatment staging of colorectal cancer”, Journal of the American College of Radiology 9.11 (2012): 775-781.
  6. Hamid Chalian, Sandra M. Tochetto, Hüseyin G. Töre, Pedram Rezai, and Vahid Yaghmai, “Hepatic tumors: region-of-interest versus volumetric analysis for quantification of attenuation at CT”, Radiology 262.3 (2012): 853-861.
  7. Mauricio Stanzione Galizia, Hüseyin Gürkan Töre, Hamid Chalian, Robert McCarthy, Riad Salem, Vahid Yaghmai, “MDCT necrosis quantification in the assessment of hepatocellular carcinoma response to yttrium 90 radioembolization therapy: comparison of two-dimensional and volumetric techniques”, Academic radiology 19.1 (2012): 48-54.
  8. Hamid Chalian, Hüseyin Gürkan Töre, Jeanne M. Horowitz, Riad Salem, Frank H. Miller, and Vahid Yaghmai , “Radiologic assessment of response to therapy: comparison of RECIST Versions 1.1 and 1.0”, Radiographics 31.7 (2011): 2093-2105.
  9. Ahsun Riaz, Frank H. Miller, Laura M. Kulik, Paul Nikolaidis, Vahid Yaghmai, Robert J. Lewandowski, Mary F. Mulcahy, Robert K. Ryu, Kent T. Sato, Ramona Gupta, Ed Wang, Talia Baker, Michael Abecassis, Al B. Benson, Albert A. Nemcek, Reed Omary, Riad Salem, “Imaging Response in the Primary Index Lesion and Clinical Outcomes Following Transarterial Locoregional Therapy for Hepatocellular Carcinoma”, JAMA: the journal of the American Medical Association 303.11 (2010): 1062-1069.
  10. Andre Konski, Tianyu Li, Elin Sigurdson, Steven J. Cohen, William Small Jr., Stewart Spies, Jian Q. Yu, Andrew Wahl, Steven Stryker, Neal J. Meropol, “Use of Molecular Imaging to Predict Clinical Outcome in Patients With Rectal Cancer After Preoperative Chemotherapy and Radiation”, International Journal of Radiation Oncology* Biology* Physics 74.1 (2009): 55-59.

Contact Information

Yuri Velichko, Ph.D.

Manager, Quantitative Imaging Core Lab
Department of Radiology
Northwestern University - Feinberg School of Medicine 
676 North St. Clair Street, Suite 800
Chicago, IL 60611
Visit the QICL website