The evolving role of multimodal imaging, artificial intelligence and radiomics in the radiologic assessment of immune related adverse events.
Authors
Affiliations (10)
Affiliations (10)
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA. Electronic address: [email protected].
- Department of Radiology, Columbia University Irving Medical Center, New York, NY 10032, USA. Electronic address: [email protected].
- RefleXion Medical, Inc., Hayward, CA 94545, USA.
- Department of Radiology, Columbia University Irving Medical Center, New York, NY 10032, USA. Electronic address: [email protected].
- Department of Radiology, Columbia University Irving Medical Center, New York, NY 10032, USA.
- Department of Radiology, Columbia University Irving Medical Center, New York, NY 10032, USA. Electronic address: [email protected].
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA. Electronic address: [email protected].
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA. Electronic address: [email protected].
- Department of Radiology, Columbia University Irving Medical Center, New York, NY 10032, USA. Electronic address: [email protected].
- Department of Radiology, Columbia University Irving Medical Center, New York, NY 10032, USA. Electronic address: [email protected].
Abstract
Immunotherapy, in particular checkpoint blockade, has revolutionized the treatment of many advanced cancers. Imaging plays a critical role in assessing both treatment response and the development of immune toxicities. Both conventional imaging and molecular imaging techniques can be used to evaluate multisystemic immune related adverse events (irAEs), including thoracic, abdominal and neurologic irAEs. As artificial intelligence (AI) proliferates in medical imaging, radiologic assessment of irAEs will become more efficient, improving the diagnosis, prognosis, and management of patients affected by immune-related toxicities. This review addresses some of the advancements in medical imaging including the potential future role of radiomics in evaluating irAEs, which may facilitate clinical decision-making and improvements in patient care.