Choyke, Peter L.

Prostate imaging reporting and data system Version 2.1: 2019 update of prostate imaging reporting and data system version 2

Turkbey, B., Rosenkrantz, A. B., Haider, M. A., Padhani, A. R., Villeirs, G., Macura, K. J., Tempany, C. M., Choyke, P. L., Cornud, F., Margolis, D. J., et al. (2019) · European Urology

Prostate Cancer Diagnosis and TreatmentRadiomics and Machine Learning in Medical Imaging

Cited by 2,544

Clearance properties of nano-sized particles and molecules as imaging agents: considerations and caveats

Longmire, M., Choyke, P. L., & Kobayashi, H. (2008) · Nanomedicine

Nanoparticle-Based Drug DeliveryNanotechnology research and applications

Cited by 2,149

Improving conventional enhanced permeability and retention (EPR) effects; what is the appropriate target?

Kobayashi, H., Watanabe, R., & Choyke, P. L. (2014) · Theranostics

Nanoparticle-Based Drug DeliveryNanoplatforms for cancer theranostics

Cited by 996

Ascorbate in pharmacologic concentrations selectively generates ascorbate radical and hydrogen peroxide in extracellular fluid in vivo

Chen, Q., Espey, M. G., Sun, A. Y., Lee, J.-H., Krishna, M. C., Shacter, E., Choyke, P. L., Pooput, C., Kirk, K. L., Buettner, G. R., et al. (2007) · Proceedings of the National Academy of Sciences

Vitamin C and Antioxidants ResearchRedox biology and oxidative stress

Cited by 676

Artificial intelligence for the detection of COVID-19 pneumonia on chest ct using multinational datasets

Harmon, S. A., Sanford, T. H., Xu, S., Turkbey, E. B., Roth, H., Xu, Z., Yang, D., Myronenko, A., Anderson, V., Amalou, A., et al. (2020) · Nature Communications

COVID-19 diagnosis using AIArtificial Intelligence in Healthcare and Education

Cited by 587

Current and potential imaging applications of ferumoxytol for magnetic resonance imaging

Toth, G. B., Varallyay, C. G., Horvath, A., Bashir, M. R., Choyke, P. L., Daldrup-Link, H. E., Dosa, E., Finn, J. P., Gahramanov, S., Harisinghani, M., et al. (2017) · Kidney International

Advanced MRI Techniques and ApplicationsLanthanide and Transition Metal Complexes

Cited by 317

Congenital disorder of oxygen sensing: association of the homozygous Chuvash polycythemia VHL mutation with thrombosis and vascular abnormalities but not tumors

Gordeuk, V. R., Sergueeva, A. I., Miasnikova, G. Y., Okhotin, D., Voloshin, Y., Choyke, P. L., Butman, J. A., Jedlickova, K., Prchal, J. T., & Polyakova, L. A. (2004) · Blood

Erythropoietin and Anemia TreatmentCancer, Hypoxia, and Metabolism

Cited by 273

Clinical and genetic characterization of pheochromocytoma in von Hippel-Lindau families: comparison with sporadic pheochromocytoma gives insight into natural history of pheochromocytoma

WALTHER, M. M., REITER, R., KEISER, H. R., CHOYKE, P. L., VENZON, D., HURLEY, K., GNARRA, J. R., REYNOLDS, J. C., GLENN, G. M., ZBAR, B., et al. (1999) · Journal of Urology

Adrenal and Paraganglionic TumorsEar and Head Tumors

Cited by 255

Federated learning improves site performance in multicenter deep learning without data sharing

Sarma, K. V., Harmon, S., Sanford, T., Roth, H. R., Xu, Z., Tetreault, J., Xu, D., Flores, M. G., Raman, A. G., Kulkarni, R., et al. (2021) · Journal of the American Medical Informatics Association

Privacy-Preserving Technologies in DataArtificial Intelligence in Healthcare and Education

Cited by 242

Clinical Activity of the γ-Secretase Inhibitor PF-03084014 in Adults With Desmoid Tumors (Aggressive Fibromatosis)

Kummar, S., O'Sullivan Coyne, G., Do, K. T., Turkbey, B., Meltzer, P. S., Polley, E., Choyke, P. L., Meehan, R., Vilimas, R., Horneffer, Y., et al. (2017) · Journal of Clinical Oncology

Soft tissue tumor case studiesNeurofibromatosis and Schwannoma Cases

Cited by 183

Pilot trial of EZN-2968, an antisense oligonucleotide inhibitor of hypoxia-inducible factor-1 alpha (HIF-1α), in patients with refractory solid tumors

Jeong, W., Rapisarda, A., Park, S. R., Kinders, R. J., Chen, A., Melillo, G., Turkbey, B., Steinberg, S. M., Choyke, P., Doroshow, J. H., et al. (2014) · Cancer Chemotherapy and Pharmacology

Cancer, Hypoxia, and MetabolismAngiogenesis and VEGF in Cancer

Cited by 159

Perspectives from man’s best friend: National Academy of Medicine’s Workshop on Comparative Oncology

LeBlanc, A. K., Breen, M., Choyke, P., Dewhirst, M., Fan, T. M., Gustafson, D. L., Helman, L. J., Kastan, M. B., Knapp, D. W., Levin, W. J., et al. (2016) · Science Translational Medicine

Veterinary Oncology ResearchScience, Research, and Medicine

Cited by 147

Multihistology, Target-Driven Pilot Trial of Oral Topotecan as an Inhibitor of Hypoxia-Inducible Factor-1α in Advanced Solid Tumors

Kummar, S., Raffeld, M., Juwara, L., Horneffer, Y., Strassberger, A., Allen, D., Steinberg, S. M., Rapisarda, A., Spencer, S. D., Figg, W. D., et al. (2011) · Clinical Cancer Research

Cancer, Hypoxia, and MetabolismAngiogenesis and VEGF in Cancer

Cited by 115

Carfilzomib, Lenalidomide, and Dexamethasone Followed by Lenalidomide Maintenance for Prevention of Symptomatic Multiple Myeloma in Patients With High-risk Smoldering Myeloma: A Phase 2 Nonrandomized Controlled Trial

Kazandjian, D., Hill, E., Dew, A., Morrison, C., Roswarski, J., Korde, N., Emanuel, M., Petrosyan, A., Bhutani, M., Calvo, K. R., et al. (2021) · JAMA Oncology

Multiple Myeloma Research and TreatmentsBone health and treatments

Cited by 49

Novel gastrointestinal tract manifestations in juvenile dermatomyositis

Laskin, B. L., Choyke, P., Keenan, G. F., Miller, F. W., & Rider, L. G. (1999) · The Journal of Pediatrics

Inflammatory Myopathies and DermatomyositisSystemic Sclerosis and Related Diseases

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Detection of prostate cancer using temporal sequences of ultrasound data: a large clinical feasibility study

Azizi, S., Imani, F., Ghavidel, S., Tahmasebi, A., Kwak, J. T., Xu, S., Turkbey, B., Choyke, P., Pinto, P., Wood, B., et al. (2016) · International Journal of Computer Assisted Radiology and Surgery

Prostate Cancer Diagnosis and TreatmentRadiomics and Machine Learning in Medical Imaging

Cited by 45

Imaging of glucose metabolism by 13C-MRI distinguishes pancreatic cancer subtypes in mice

Kishimoto, S., Brender, J. R., Crooks, D. R., Matsumoto, S., Seki, T., Oshima, N., Merkle, H., Lin, P., Reed, G., Chen, A. P., et al. (2019) · eLife

Advanced NMR Techniques and ApplicationsCancer, Hypoxia, and Metabolism

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Predicting the tumor microenvironment composition and immunotherapy response in non-small cell lung cancer from digital histopathology images

Patkar, S., Chen, A., Basnet, A., Bixby, A., Rajendran, R., Chernet, R., Faso, S., Kumar, P. A., Desai, D., El-Zammar, O., et al. (2024) · npj Precision Oncology

AI in cancer detectionCancer Immunotherapy and Biomarkers

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Molecular imaging of the tumor microenvironment reveals the relationship between tumor oxygenation, glucose uptake, and glycolysis in pancreatic ductal adenocarcinoma

Yamamoto, K., Brender, J. R., Seki, T., Kishimoto, S., Oshima, N., Choudhuri, R., Adler, S. S., Jagoda, E. M., Saito, K., Devasahayam, N., et al. (2020) · Cancer Research

Cancer, Hypoxia, and MetabolismMedical Imaging Techniques and Applications

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Transfer learning from RF to B-mode temporal enhanced ultrasound features for prostate cancer detection

Azizi, S., Mousavi, P., Yan, P., Tahmasebi, A., Kwak, J. T., Xu, S., Turkbey, B., Choyke, P., Pinto, P., Wood, B., et al. (2017) · International Journal of Computer Assisted Radiology and Surgery

Ultrasound Imaging and ElastographyRadiomics and Machine Learning in Medical Imaging

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The Low Rate of Adherence to Checklist for Artificial Intelligence in Medical Imaging Criteria Among Published Prostate MRI Artificial Intelligence Algorithms

Belue, M. J., Harmon, S. A., Lay, N. S., Daryanani, A., Phelps, T. E., Choyke, P. L., & Turkbey, B. (2023) · Journal of the American College of Radiology

Artificial Intelligence in Healthcare and EducationAI in cancer detection

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