Vinay Anant Duddalwar, MD

Vinay Duddalwar is a Professor of Radiology, Urology and Biomedical Engineering at the Keck School of Medicine at the University of Southern California. He completed his medical education at Nagpur , radiology residencies at Pune, India and Aberdeen, UK. and a fellowship in abdominal imaging and intervention at the University of British Columbia, Vancouver. He was on the faculty at Grampian University NHS Hospitals, Aberdeen UK and then subsequently moved to USC.
He currently is the Medical Director , Imaging for the Norris Cancer Center at USC. His interests are in the field of abdominal oncologic imaging, especially Genitourinary imaging. His research focus is in the field of radiomics, quantitative and multiomic evaluation of neoplasms. He established and leads the USC Radiomics Lab (radiomicslab.usc.edu) which is an interdisciplinary translational research group interested in the development and use of quantitative methods of evaluating imaging data. His lab is at the intersection of quantifying imaging, artificial intelligence and multiomic analysis. The lab is funded by federal, foundation and industry grants and is currently exploring radio genomics, imaging evaluation of angiogenesis, molecular and immune correlates and biomarkers as well as treatment response in various cancers. This includes developing human allied explainable decision support systems He has extensive collaborations with both clinical and translational researchers. He has funded research currently ongoing in these areas. He is an active member of a number of national and international radiology societies. He is a GU section editor for Clinical Radiology as well as reviewer for a number of radiology and urology journals

• USC: Mellon Mentoring Award( Faculty to faculty), 2013-2014
• Pasadena Magazine: Top Doctor, 2009-2021

• Machine learning-based radiomic evaluation of treatment response prediction in glioblastomaClin Radiol. 2021 08; 76(8):628. e17-628. e27. . View in PubMed
• A nomogram to predict the absence of clinically significant prostate cancer in males with negative MRI Int Braz J Urol 2024 May-Jun; 50(3):319-334. . View in PubMed
• Technical and clinical considerations of a physical liver phantom for CT radiomics analysis J Appl Clin Med Phys. 2024 Apr; 25(4):e14309. . View in PubMed
• Investigating the role of imaging factors in the variability of CT-based texture analysis metrics J Appl Clin Med Phys. 2024 Apr; 25(4):e14192. . View in PubMed
• Radiomics and Artificial Intelligence: Renal Cell Carcinoma Urol Clin North Am. 2024 Feb; 51(1):35-45. . View in PubMed
• The Novel Green Learning Artificial Intelligence for Prostate Cancer Imaging: A Balanced Alternative to Deep Learning and Radiomics Urol Clin North Am. 2024 Feb; 51(1):1-13. . View in PubMed
• Comprehensive Assessment of MRI-based Artificial Intelligence Frameworks Performance in the Detection, Segmentation, and Classification of Prostate Lesions Using Open-Source Databases Urol Clin North Am. 2024 Feb; 51(1):131-161. . View in PubMed
• Pseudocirrhosis: A Case Series with Clinical and Radiographic Correlation and Review of the Literature Dig Dis Sci. 2024 Jan 04. . View in PubMed
• Conditional generative learning for medical image imputation Sci Rep. 2024 01 02; 14(1):171. . View in PubMed
• Radiomics Correlation to CD68+ Tumor-Associated Macrophages in Clear Cell Renal Cell Carcinoma Oncology. 2024; 102(3):260-270. . View in PubMed
• Diversity in Renal Mass Data Cohorts: Implications for Urology AI Researchers Oncology. 2023 Dec 15. . View in PubMed
• Sarcopenia and body fat change as risk factors for radiologic incisional hernia following robotic nephrectomy Skeletal Radiol. 2023 Dec; 52(12):2469-2477. . View in PubMed
• Imaging in Upper Tract Urothelial Carcinoma: A Review Cancers (Basel). 2023 Oct 18; 15(20). . View in PubMed
• Comprehensive Systematic Review of Biomarkers in Metastatic Renal Cell Carcinoma: Predictors, Prognostics, and Therapeutic Monitoring Cancers (Basel). 2023 Oct 11; 15(20). . View in PubMed
• Is Artificial Intelligence Replacing Our Radiology Stars? Not Yet! Eur Urol Open Sci. 2023 Feb; 48:14-16.. View in PubMed
• Predicting Soft Tissue Sarcoma Response to Neoadjuvant Chemotherapy Using an MRI-Based Delta-Radiomics Approach Mol Imaging Biol. 2023 08; 25(4):776-787. . View in PubMed
• Transperineal magnetic resonance imaging/transrectal ultrasonography fusion prostate biopsy under local anaesthesia: the ‘double-freehand’ technique BJU Int. 2023 06; 131(6):770-774. . View in PubMed
• PRISMA AI reporting guidelines for systematic reviews and meta-analyses on AI in healthcare Nat Med. 2023 01; 29(1):14-15. . View in PubMed
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• Radiogenomic Associations Clear Cell Renal Cell Carcinoma: An Exploratory Study Oncology. 2023; 101(6):375-388. . View in PubMed
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• High Intensity Focused Ultrasound Hemigland Ablation for Prostate Cancer: Initial Outcomes of a United States Series J Urol. 2020 10; 204(4):741-747. . View in PubMed
• Natural History of Radiologic Incisional Hernia Following Robotic Nephrectomy J Endourol. 2020 09; 34(9):974-980. . View in PubMed
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• Qualitative and Quantitative Contrast-enhanced Endoscopic Ultrasound Improves Evaluation of Focal Pancreatic LesionsClin Gastroenterol Hepatol. 2020 04; 18(4):917-925. e4. . View in PubMed
• Myocardial Radiomics in Cardiac MRI AJR Am J Roentgenol. 2020 03; 214(3):536-545. . View in PubMed
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• Contrast-Enhanced Transrectal Ultrasound for Follow-up After Focal HIFU Ablation for Prostate Cancer J Ultrasound Med. 2019 Mar; 38(3):811-819. . View in PubMed
• Contrast-Enhanced Ultrasound With Perflubutane for Sentinel Lymph Node Mapping in Cutaneous Melanoma: A Pilot Study Laryngoscope. 2019 05; 129(5):1117-1122. . View in PubMed
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• Radiomics in Pulmonary Lesion Imaging AJR Am J Roentgenol. 2019 03; 212(3):497-504. . View in PubMed
• Texture Analysis of Imaging: What Radiologists Need to Know AJR Am J Roentgenol. 2019 03; 212(3):520-528. . View in PubMed
• Which Patients with Negative Magnetic Resonance Imaging Can Safely Avoid Biopsy for Prostate Cancer? J Urol. 2019 02; 201(2):268-276.. View in PubMed
• Computed tomography-based texture analysis of bladder cancer: differentiating urothelial carcinoma from micropapillary carcinoma Abdom Radiol (NY). 2019 01; 44(1):201-208. . View in PubMed
• Objective risk stratification of prostate cancer using machine learning and radiomics applied to multiparametric magnetic resonance images Sci Rep. 2019 02 07; 9(1):1570. . View in PubMed
• Contrast-Enhanced Ultrasound of Spermatic Cord and Retroperitoneal Liposarcoma Ultrasound Q. 2018 Dec; 34(4):292-296. . View in PubMed
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• Quantitative Contour Analysis as an Image-based Discriminator Between Benign and Malignant Renal Tumors Urology. 2018 Apr; 114:121-127. . View in PubMed
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• Incisional and Parastomal Hernia following Radical Cystectomy and Urinary Diversion: The University of Southern California Experience J Urol. 2016 Sep; 196(3):777-81. . View in PubMed
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