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
Introduction to matrix-based method for analyzing hybrid multidimensional prostate MRI data.
Introduction to matrix-based method for analyzing hybrid multidimensional prostate MRI data. J Appl Clin Med Phys. 2024 Nov 20; e14544.
PMID: 39568316
ACR Appropriateness Criteria® Acute Onset of Scrotal Pain-Without Trauma, Without Antecedent Mass: 2024 Update.
ACR Appropriateness Criteria® Acute Onset of Scrotal Pain-Without Trauma, Without Antecedent Mass: 2024 Update. J Am Coll Radiol. 2024 Nov; 21(11S):S364-S371.
PMID: 39488348
ACR Appropriateness Criteria® Pretreatment Staging of Urothelial Cancer: 2024 Update.
ACR Appropriateness Criteria® Pretreatment Staging of Urothelial Cancer: 2024 Update. J Am Coll Radiol. 2024 Nov; 21(11S):S464-S489.
PMID: 39488355
Quantitative Multi-Parametric MRI of the Prostate Reveals Racial Differences.
Quantitative Multi-Parametric MRI of the Prostate Reveals Racial Differences. Cancers (Basel). 2024 Oct 16; 16(20).
PMID: 39456593
MRI Predicts Residual Disease and Outcomes in Watch-and-Wait Patients with Rectal Cancer.
MRI Predicts Residual Disease and Outcomes in Watch-and-Wait Patients with Rectal Cancer. Radiology. 2024 09; 312(3):e232748.
PMID: 39225603
ACR Appropriateness Criteria® Hydronephrosis on Prior Imaging-Unknown Cause.
ACR Appropriateness Criteria® Hydronephrosis on Prior Imaging-Unknown Cause. J Am Coll Radiol. 2024 Jun; 21(6S):S144-S167.
PMID: 38823942
Implementation of a high-resolution, high-contrast magnetic resonance imaging protocol with extended delayed phases for peritoneal mesothelioma.
Implementation of a high-resolution, high-contrast magnetic resonance imaging protocol with extended delayed phases for peritoneal mesothelioma. Quant Imaging Med Surg. 2024 Mar 15; 14(3):2580-2589.
PMID: 38545076
Self-supervised multicontrast super-resolution for diffusion-weighted prostate MRI.
Self-supervised multicontrast super-resolution for diffusion-weighted prostate MRI. Magn Reson Med. 2024 Jul; 92(1):319-331.
PMID: 38308149
Prostate Cancers Invisible on Multiparametric MRI: Pathologic Features in Correlation with Whole-Mount Prostatectomy.
Prostate Cancers Invisible on Multiparametric MRI: Pathologic Features in Correlation with Whole-Mount Prostatectomy. Cancers (Basel). 2023 Dec 13; 15(24).
PMID: 38136370
Multi-model sequential analysis of MRI data for microstructure prediction in heterogeneous tissue.
Multi-model sequential analysis of MRI data for microstructure prediction in heterogeneous tissue. Sci Rep. 2023 10 01; 13(1):16486.
PMID: 37779137