A photo of Jonathan R. Dillman.

Jonathan R. Dillman, MD, MSc


  • Associate Chief of Research, Department of Radiology
  • Medical Director, Imaging Research Center, Division of Radiology

About

Biography

I’ve always enjoyed working with children and find it immensely rewarding to have a lifelong impact on patients. Radiology is my clinical specialty with a particular interest in imaging the pediatric abdomen, inflammatory bowel diseases (including Crohn's disease) and chronic liver diseases. I frequently work collaboratively with multi-disciplinary teams, including gastroenterologists, hepatologists and cardiologists.

My research areas include novel quantitative imaging methods for diagnosis and staging severity of Crohn's disease and chronic liver diseases (such as fatty liver disease and autoimmune liver disease). My work aims to measure tissue and organ injury noninvasively and turn anatomic images into quantitative biomarkers.

I am honored to have received the Best Paper award from the Pediatric Radiology journal (2020), Best Gastrointestinal (GI) Scientific Presentation, Society of Abdominal Radiology (2020) and Department of Radiology Outstanding Clinician (2020). I have also received multiple grants, including funding from the Cincinnati Children's Foundation and the National Institutes of Health (NIH). I am board certified in Radiology (2008), with subspecialty certification in Pediatric Radiology (2011) by the American Board of Radiology.

Publications

Selected

Velocity-Encoded Phase-Contrast MRI for Measuring Mesenteric Blood Flow in Patients With Newly Diagnosed Small-Bowel Crohn Disease. Ata, NA; Dillman, JR; Gandhi, D; Dudley, JA; Trout, AT; Imbus, R; Towbin, AJ; Denson, LA; Tkach, JA. American Journal of Roentgenology. 2022; 219:132-141.

Selected

Transparency and Variability in Pricing for Pediatric Outpatient Imaging in US Children's Hospitals. Hayatghaibi, SE; Alves, VV; Ayyala, RS; Dillman, JR; Trout, AT. JAMA Network Open. 2022; 5.

Selected

DeepLiverNet: a deep transfer learning model for classifying liver stiffness using clinical and T2-weighted magnetic resonance imaging data in children and young adults. Li, H; He, L; Dudley, JA; Maloney, TC; Somasundaram, E; Brady, SL; Parikh, NA; Dillman, JR. Pediatric Radiology. 2021; 51:392-402.

Selected

Improving Image Quality and Reducing Radiation Dose for Pediatric CT by Using Deep Learning Reconstruction. Brady, SL; Trout, AT; Somasundaram, E; Anton, CG; Li, Y; Dillman, JR. Radiology. 2021; 298:180-188.

Selected

Use of Intravenous Gadolinium-based Contrast Media in Patients with Kidney Disease: Consensus Statements from the American College of Radiology and the National Kidney Foundation. Weinreb, JC; Rodby, RA; Yee, J; Wang, CL; Fine, D; McDonald, RJ; Perazella, MA; Dillman, JR; Davenport, MS. Radiology. 2021; 298:28-35.

Selected

A multi-task, multi-stage deep transfer learning model for early prediction of neurodevelopment in very preterm infants. He, L; Li, H; Wang, J; Chen, M; Gozdas, E; Dillman, JR; Parikh, NA. Scientific Reports. 2020; 10.

Selected

Normal Liver Stiffness Measured with MR Elastography in Children. Trout, AT; Anupindi, SA; Gee, MS; Khanna, G; Xanthakos, SA; Serai, SD; Baikpour, M; Calle-Toro, JS; Ozturk, A; Zhang, B; et al. Radiology. 2020; 297:663-669.

Selected

Value Assessment of Evolving Pediatric Appendicitis Imaging Strategies Between 2004 and 2018. Hayatghaibi, SE; Trout, AT; Dillman, JR. Journal of the American College of Radiology. 2020; 17:1549-1554.

Selected

Imaging of Fontan-associated liver disease. Dillman, JR; Trout, AT; Alsaied, T; Gupta, A; Lubert, AM. Pediatric Radiology. 2020; 50:1528-1541.

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