The Division of Oncologic Imaging is an integral unit of the Department of Radiology, committed to serving patients across the NYU Langone Health network who have been diagnosed with or are suspected to have cancer. Using the most comprehensive and advanced technologies, we strive to provide timely, accurate, and compassionate diagnostic and follow-up care for a broad spectrum of oncologic conditions.

Our faculty is globally recognized for their expertise in specialized imaging modalities pertinent to cancer care including CT, MRI, and molecular imaging techniques such as PET/CT and PET/MRI. With a noteworthy track record of federal- and industry-funded research across diverse cancer types, our team’s research insights frequently feature in top-tier cancer and imaging-focused scientific journals. Read our latest papers to learn more about our pioneering research.

Collectively, our faculty have received numerous accolades and awards for their contributions to oncologic imaging, including for teaching trainees and other radiologists about the intricate aspects of cancer-specific radiology reporting. Several division faculty hold leadership positions in organizations such as the Radiological Society of North America, the European Society of Radiology, the International Cancer Imaging Society, the Academy for Radiology and Biomedical Imaging Research, and the National Academy of Medicine.

Our division provides oncologic imaging services at all NYU Langone facilities throughout New York City and Long Island. We collaborate with all divisions and departments, and work closely with departmental and Perlmutter Cancer Center leadership teams to enhance existing cancer imaging services, cultivate novel approaches, and strategize initiatives geared towards improving cancer outcomes in the communities we serve.

Oncologic Imaging Education

Our educational philosophy emphasizes a balanced fusion of didactic classroom and online instruction, practical “at the workstation” teaching, and experiential learning in image interpretation and reporting. Training focuses on the most current evidence-backed approaches and the pivotal role of multidisciplinary collaboration in cancer care. Recognizing the importance of communication in cancer care, we embrace active listening and refinement of verbal and nonverbal communication skills as part of oncologic imaging practice and education at all levels, including trainees and faculty.

As part of NYU Grossman School of Medicine’s MD curriculum, medical students have the opportunity to spend time on the radiology service during a radiology selective and an oncologic imaging elective.

Physicians in our diagnostic radiology residency become part of the multidisciplinary team at Perlmutter Cancer Center and are involved in all aspects of our division including the technical aspects of image acquisition, exam reporting, and communication with patients, caregivers, and referring physician teams. Through this experience, residents have full exposure to all aspects of imaging patients with known or suspected cancer and gain understanding of the roles and common applications of the different modalities used in oncologic imaging.

Oncologic Imaging Research

Principal investigators in the Division of Oncologic Imaging lead the way in research that focuses on the technical development, clinical translation, and optimization of advanced imaging applications and technologies. We are fortunate to have access to state-of-the-art clinical and research facilities and technology to support our research endeavors.

Our division is located alongside two dedicated research centers, the Center for Biomedical Imaging and the Center for Advanced Imaging Innovation and Research, providing access to diverse, multidisciplinary work environments and flexible workspaces, multimedia equipment, classrooms, dedicated servers and databases, and secure storage for medical research records. Our investigators have access to a fully integrated electronic medical system that can be mined for large-data analysis.

Dedicated areas of research in our division include the following:

• early cancer detection: development and validation of novel MRI and PET imaging methods for earlier detection of the primary, recurrent, and metastatic cancer; imaging for cancer screening
• monitoring cancer treatment response with imaging
• integrated diagnostics: evaluating correlation between imaging and non-imaging biomarkers (for example, serum tumor markers, liquid biopsy, etc.)
• artificial intelligence (AI) and machine learning: predictive analytics and forecasting; integration of AI in clinical workflow; quality assurance and cyber security; image reconstruction
• academic and industrial research partnerships: collaborating with industry to produce the next generation of imaging techniques
• outreach: approaches to maximize access to oncologic imaging in underserved areas

We also manage and oversee the Clinical Trials Imaging Program at the Perlmutter Cancer Center, providing support for the imaging acquisition and interpretation performed as part of prospective clinical trials across the network.

Research opportunities are open to medical students, residents, and fellows in all departments.

Oncologic Imaging Clinical Services

The Department of Radiology is internationally renowned, and our division offers patients access to a full range of cutting-edge imaging equipment. This includes high-speed, high-resolution multidetector single- and dual-source CT scanners, high-performance MRI systems (1.5T, 3T and 7T), PET/CT, and PET/MRI scanners.

We work closely with specialists at Perlmutter Cancer Center to provide the highest standard of clinical care for patients with common and uncommon cancers. We collaborate and provide consultation services to faculty members in other divisions in the Department of Radiology, covering all aspects related to imaging and cancer.

Our division is committed to pursuing the National Academy of Medicine’s goals of increasing both quality and equity in cancer diagnosis and adhering to their recommendations for reducing the rates of diagnostic errors.