Dr. Aytekin Oto is Professor of Radiology and Surgery, Dean for Clinical Affairs, head of the Faculty Practice Plan and Chief Physician at the University of Chicago. Dr. Oto has a wide range of experience and expertise in the imaging of diseases affecting abdomen and pelvis. His research interest focus is development and clinical application of novel prostate MRI acquisition and interpretation so as to facilitate and improve the efficiency of prostate cancer and develop image guided prostate therapy options for the appropriate patients diagnosed with prostate cancer. His research has resulted in more than 250 publications and over 150 scientific exhibits at national and international meetings. The two overarching aims of his research are “non-invasive and accurate diagnosis of aggressive prostate cancer using MR imaging“ and “eradication of localized prostate cancer with minimal complications using minimally invasive treatment methods”. His group has developed new quantitative MR acquisition and interpretation techniques such Hybrid Multi-dimensional MRI and tested MR guided therapy methods such as laser and focused ultrasound ablation in clinical and pre-clinical studies. He has several industry, foundation and NIH grants and serves at the Editorial Board of Radiology. Dr. Oto received numerous awards including AIMBE fellowship, Distinguished Investigator Award, RSNA honored educator award and Distinguished Senior Clinician Award.
Cleveland Clinic Foundation
Cleveland, Ohio
- Abdominal Imaging Fellowship
1998
Hacettepe University
Ankara, Turkey
- Diagnostic Radiology
1997
Hacettepe University
Ankara, Turkey
MD - Medical School
1993
Empirical noise mapping guides optimal region-of-interest selection for accurate noise estimation in prostate DWI.
Empirical noise mapping guides optimal region-of-interest selection for accurate noise estimation in prostate DWI. J Appl Clin Med Phys. 2026 Sep; 27(9):e70738.
PMID: 42682154
Improved prostate diffusion imaging using deep learning denoising and phase correction with ultra-high-density coil array.
Improved prostate diffusion imaging using deep learning denoising and phase correction with ultra-high-density coil array. Radiol Adv. 2026 Mar; 3(2):umag019.
PMID: 42078007
VHU-Net: Variational hadamard U-Net for body MRI bias field correction.
VHU-Net: Variational hadamard U-Net for body MRI bias field correction. Med Image Anal. 2026 05; 110:103955.
PMID: 41579486
Phase II trial protocol of focal prostate ablation combined with androgen deprivation therapy for prostate cancer treatment.
Phase II trial protocol of focal prostate ablation combined with androgen deprivation therapy for prostate cancer treatment. PLoS One. 2025; 20(12):e0337828.
PMID: 41401176
Next-Generation Advances in Prostate Cancer Imaging and Artificial Intelligence Applications.
Next-Generation Advances in Prostate Cancer Imaging and Artificial Intelligence Applications. J Imaging. 2025 Nov 03; 11(11).
PMID: 41295107
Post-Treatment Imaging in Focal Therapy: Understanding TARGET and PI-FAB Scoring Systems.
Post-Treatment Imaging in Focal Therapy: Understanding TARGET and PI-FAB Scoring Systems. Diagnostics (Basel). 2025 May 26; 15(11).
PMID: 40506900
Surveillance After Focal Therapy for Prostate Cancer: A Comprehensive Review.
Surveillance After Focal Therapy for Prostate Cancer: A Comprehensive Review. Cancers (Basel). 2025 Apr 16; 17(8).
PMID: 40282513
Requirements for AI Development and Reporting for MRI Prostate Cancer Detection in Biopsy-Naive Men: PI-RADS Steering Committee, Version 1.0.
Requirements for AI Development and Reporting for MRI Prostate Cancer Detection in Biopsy-Naive Men: PI-RADS Steering Committee, Version 1.0. Radiology. 2025 04; 315(1):e240140.
PMID: 40232134
Physics-Informed Autoencoder for Prostate Tissue Microstructure Profiling with Hybrid Multidimensional MRI.
Physics-Informed Autoencoder for Prostate Tissue Microstructure Profiling with Hybrid Multidimensional MRI. Radiol Artif Intell. 2025 03; 7(2):e240167.
PMID: 39907585
Prospective Validation of an Automated Hybrid Multidimensional MRI Tool for Prostate Cancer Detection Using Targeted Biopsy: Comparison with PI-RADS-based Assessment.
Prospective Validation of an Automated Hybrid Multidimensional MRI Tool for Prostate Cancer Detection Using Targeted Biopsy: Comparison with PI-RADS-based Assessment. Radiol Imaging Cancer. 2025 01; 7(1):e240156.
PMID: 39836080