News

University of Chicago Faculty and Trainees at RSNA 2018

Each year, we look forward to attending the annual RSNA meeting.  We are excited to share the fruits of what we've learned over the last year, and learn from our esteemed colleagues who will also be in attendance.  Below is the list of scientific and education abstracts, and invited educational courses, featuring University of Chicago Department of Radiology faculty members and trainees.



We look forward to seeing you there!

Please note that this list is not exhaustive.

Educational Courses

Hiroyuki Abe, MD

RC315: Breast Series: MRI

Nov 27 2018   8:30AM   Arie Crown Theater 



Jacques S. Abramowicz, MD

RC323B: Ultrasound Safety: What the Clinician Should Know

Nov 27, 2018   8:30AM   S504AB



Samuel G. Armato III, PhD

RC121C: Texture Characterization

Nov 25, 2018   2:00PM   E351



Kenneth Bader

RC323C: Ultrasound Safety: What You Should Know About Therapeutic Ultrasound

Nov 27, 2018   8:30AM   S504AB 



JoAnn Balderos-Mason, PhD, RT

MSAS31: Radiology Safety: Effective Strategies in Patient Care (Sponsored by the Associated Sciences Consortium) (Interactive Session)

Nov 27, 2018   8:30AM   S105AB



Paul J. Chang, MD

RC154: Leveraging IT to Optimize Quality in Radiology

Nov 25, 2018   2:00PM  N229 



Paul J. Chang, MD 

RC154B: Business Intelligence and Analytics: Dashboards, Scorecards, and Beyond

Nov 25, 2018   2:00PM  N229  



Paul J. Chang, MD 

RC154C: Leveraging IT to Optimize Quality in Radiology

Nov 25, 2018   2:00PM  N229



Paul J. Chang, MD 

RC253A: Getting Your IT Infrastructure Ready for Big Data

Nov 25, 2018   2:00PM  N229



Paul J. Chang, MD, Neety Panu, MD, FRCPC, Ashley Altman, MDPaul J. Chang, MD, Neety Panu, MD, FRCPC, Ashley Altman, MD 

SPDL21: Chest and Abdomen (Case-based Competition)

Nov 26, 2018   4:30PM   E451B



Paul J. Chang, MD

RC353: Deep Learning & Machine Intelligence in Radiology

Nov 27, 2018   8:30AM   S406A 



Paul J. Chang, MD

RC353B: Deep Learning and Machine Intelligence in Radiology: A Reality Check

Nov 27, 2018   8:30AM   S406A



Paul J. Chang, MD, Omer A. Awan, MD, Gregory L. Katzman, MD, Neety Panu, MD, FRCPC

SPDL41: Neuro and MSK (Case-based Competition)

Nov 28, 2018   4:30PM   E451B



Paul J. Chang, MD 

SPDL51: Peds, IR, Potpourri (Case-based Competition

Nov 29, 2018   3:00PM   E451B



Jonathan H. Chung, MD

RC254E: Disease-specific Structured Reporting in Thoracic Imaging: Added Value from a Quality Perspective

Nov 26, 2018   8:30AM   S402AB

 

Kate A. Feinstein, MD

SPDL51: Peds, IR, Potpourri (Case-based Competition)

Nov 29, 2018   3:00PM   E451B



Brian S. Funaki, MD

RC414: Morbidity and Mortality

Nov 27, 2018   4:30PM   E353A

 

Brian S. Funaki, MD

RC414D: Nonvascular M & M

Nov 27, 2018   4:30PM   E353A



Maryellen L. Giger, PhD

SPGW01B: Preparing an R01 Research Application

Nov 24, 2018   1:00PM   E253AB



Maryellen L. Giger, PhD

SPGW01G: Mock Study Section

Nov 24, 2018   1:00PM   E253AB



Maryellen L. Giger, PhD

RC425A: AI in Clinical Radiology

Nov 27, 2018   4:30PM   S103AB



Kirti Kulkarni, MD

RC750: MR Imaging-guided Breast Biopsy (Hands-on)

Nov 29, 2018   4:30PM   E260



Stanley L. Liauw, MD

RC520: Fundamentals of Imaging for the Radiation Oncologist 

Nov 28, 2018   8:30AM   S104A



Zheng Feng Lu, PhD

RC223B: ACR US Accreditation Update

Nov 26, 2018   8:30AM   E260



Rakesh C. Navuluri, MD

RC114: Interventional Course (Interactive Session)

Nov 25, 2018   2:00PM   S403A



Aytekin Oto, MD

SPSC30: Controversy Session: Prostate Cancer Imaging: Is the Endorectal Coil Necessary?

Nov 27, 2018   7:15AM   E350



Ingrid Reiser, PhD

RCB54B: Initial Clinical Experience: Reasons for Rejects and Remedial Actions

Nov 29, 2018   2:30PM  S401CD



Steffen Sammet, MD,PhD

MSAS31A: Radiation Safety and Protection in Diagnostic Imaging

Nov 27, 2018   8:30AM   S105AB



Deepa Sheth, MD

RC750: MR Imaging-guided Breast Biopsy (Hands-on)

Nov 29, 2018   4:30PM   E260



Christopher M. Straus, MD

RC802C: Mentoring from the Mentor Point-of-View

Nov 30, 2018   8:30AM   E261



Michael W. Vannier, MD

SPGW01D: Clinical Trials in Applications

Nov 24, 2018   1:00PM   E253AB



Michael W. Vannier, MD

SPGW01G: Mock Study Section

Nov 24, 2018   1:00PM   E253AB



Carina W. Yang, MD

RC350: Contrast Reaction (Hands-on)

Nov 27, 2018   8:30AM   E260



Steven M. Zangan, MD

RC114: Interventional Course (Interactive Session)

Nov 25, 2018   2:00PM   S403A

 

Educational Exhibits

Ali A. Al-Saraf, MD

BR012-EB-X: Incidental Extra-Mammary Findings on Breast MRI: A Pictorial Illustration



Stephanie Y. Jo, MD, PhD; Steffen Sammet, PhD; Stephen Thomas, MD; G. Scott Stacy, MD

MK143-ED-X: Pulse Sequences Used in Musculoskeletal MRI Exams: A Review for Residents and Fellows



Wesley J. Klejch, MD

CH127-ED-X: Cardiopulmonary Devices the Unknown, the Overlooked, and the Misplaced



Luis A. Landeras, MD

CA143-ED-X: Congenital Thoracic Aortic Anomalies



Luis A. Landeras, MD

CA144-ED-X: Update on Cardiovascular Devices



Andrea L. Magee, MD

HP103-ED-X: Imaging Wisely: An Introduction to the ACR Appropriateness Criteria and Analysis of Impact on Internal Medicine Residents



Emily Marshall, PhD

BR113-ED-X: Embracing EQUIP in Our Daily Mammography Environment: Best Practices and Lessons Learned (The EQUIP Way or the Highway)



Melvy S. Mathew, MD

GI323-ED-THB7: Troubleshooting Troublesome Bowel Cases

Nov 29 2018   12:45 PM   GI Community, Learning Center



Melvy S. Mathew, MD

MS114-ED-X: Not Building a Wall but Destroying One: Tumors of the Abdominal Wall



Mythri M. Reddy, MD

BR149-ED-X: Catch Me If You Know It: Common Image Quality Problems in 2D Versus 3D Mammography

 

Scientific Papers

Jennie S. Crosby, BS

SSE14-04: Multi-Class Deep Learning for Classification of Thoracic Radiographs to Enable Accurate and Efficient Workflow

Nov 26 2018   3:30 PM   E353C



John H. Lee, PhD

SSA05-07: Using Deep Learning to Predict Emphysema in Early Lung Cancer Screening Low-Dose CT Scan

Nov 25, 2018   11:45 AM   E451A



Yu Ji, MD

RC215-17: Using Machine Learning to Assess Tumor Metastatic Lymph Nodes and Ki-67 Expression Aggressiveness from Breast MRI Using a Large Clinical Dataset of 300 Cancers from China

Nov 26, 2018   11:50 AM   Arie Crown Theater



Yu Ji, MD

SSG13-09: Quantitative MRI Radiomics in the Task of Distinguishing Between Malignant and Benign Breast Lesions in a Large Clinical Dataset from China

Nov 27, 2018  11:50 AM   S404AB



Thomas J. Rhines

SSA22-09: Multi-institutional Deep Network for High Performance Sorting of Over 3000 AP and PA Chest RadiographsNov 26, 2018   8:30AM   S402ABNov 26, 2018   8:30AM   S402AB



Emil Y. Sidky, PhD

SSA21-02: Spectral CT Metal Artifact Reduction

Nov 25, 2018   10:55 AM   S103AB



Heather Whitney, PhD

RC215-04: Robustness of Computer-aided Diagnosis of Breast Cancer Using Radiomics and Machine Learning Classification of 1,461 Lesions across Populations in China and the United States 

Nov 26, 2018   9:10 AM   Arie Crown Theater



Cindy Yuan, MD, PhD

SSE02-05: Preventive Care: How Comorbidities Affect Mammography Screening Rates 

Nov 26, 2018   3:40 PM   E450B

 

Scientific Posters

Chin-Tu Chen, PhD

The University of Chicago Molecular Imaging Program

Nov 25 – Nov 29 2018   S504-S505



Yu Ji, MD

PH230-SD-TUA9: Does Biopsy Influence Effectiveness of Radiomics in the Classification of Benign Lesions and Cancers on Breast MRI?

Nov 27, 2018   12:15 PM  PH Community, Learning Center



Yulei Jiang, PhD

BR253-SD-TUB7: Comparison of Automated Breast Ultrasound (ABUS) QVCAD Standalone Performance on Somo-v and Invenia Cases

Nov 27, 2018   12:45 PM   BR Community, Learning Center



John H. Lee, PhD

CH259-SD-SUA4: Using Deep Learning to Predict Emphysema in Early Lung Cancer Screening Low-Dose CT Scan

Nov 25, 2018   12:30 PM   CH Community, Learning Center



Hui Li, PhD

BR265-SD-WEB5: Potential of Deep Learning and Conventional Radiomics in the Task of Distinguishing Between Malignant and Benign Breast Lesions in a Large Clinical MRI Dataset from China

Nov 28, 2018   12:45 PM  BR Community, Learning Center



Niloufar S. Saadat, MD; Yong I. Jeong, MS; Timothy J. Carroll, PhD; Steven Roth, MD; Keigo Kawaji, PhD; Gregory A. Christoforidis, MD

IN223-SD-WEA4: Direct Validation of Quantitative MRI Cerebral Perfusion at Rest, Stress and Ischemia

Nov 28, 2018   12:15 PM   IN Community, Learning Center



Chongpeng Sun

GU250-SD-THA5: Non-Contrast Assessment of Ablation Zone During Focal Laser Ablation of Prostate Cancer Using Multi- echo T2*-weighted MRI

Nov 29 2018   12:15 PM   GU/UR Community, Learning Center

 

Scientific Sessions

Joshua H. Finkle, MD

SSJ17-02:  An Updated and Validated PET/CT Volumetric Prognostic Index for Non-Small Cell Lung Cancer

Nov 27, 2018   3:00PM   S504CD