Applications may propose engineering, optimization and integration of imaging systems, or protocols so long the emphasis is translational and/or clinical in nature. Applications typically include a clinical translational aim evaluating an imaging system in human subjects, pathological tissues, or archival clinical data.
The List of Reviewers lists all present, whether permanent or temporary, to provide the full scope of expertise present on that date. Lists are posted 30 days before the meeting and are tentative, pending any last minute changes.
The membership panel is a list of chartered members only.
- Development of detectors, scopes, probes, coils, sensors, and other hardware or hardware/software integrations for use in humans
- Improved contrast enhancement and clinical target validation
- Demonstration studies, comparing new imaging methods with current standards with regard to diagnosis, pathology characterization, clinical prognosis, or clinical outcomes
- Application of algorithms for extracting or combining information from imaging systems for clinical decision making, including machine learning and artificial intelligence approaches
- Studies of the clinical safety of emerging imaging technologies
- Human trials of established contrast agents
- Human histological imaging
Shared Interests and Overlaps
Imaging Technology Development [ITD] reviews grant applications that seek to create new imaging technologies or to create new capability in existing modalities, often with the ultimate goal of solving a particular clinical problem. Proposals emphasizing biomedical engineering, physics, or mathematics to create novel imaging methods are reviewed in ITD. Proposals to develop novel artificial intelligence and machine learning methods are reviewed in ITD, even if they use archival human data. When the work has advanced to the point where testing in humans with clinical outcomes is proposed, it is typically reviewed in CTIS.
Emerging Imaging Technologies and Applications [EITA] also reviews grant applications that propose to develop or optimize imaging systems for particular tissues, pathological conditions or physiological processes with a goal of clinical use. These proposals may include studies with human tissues, optimization, or small proof of principle studies in humans. Proposals to optimize artificial intelligence and machine learning for research or clinical application are reviewed in EITA, even if they use archival human data. When the work has advanced to the point that the application includes a substantial test of the system performance in patients with clinically relevant outcomes, it is typically reviewed in CTIS.
Imaging Probes and Contrast Agents [IPCA] generally reviews applications involving the initial steps of discovering, creating, and validating contrast agents preclinically and clinically. Applications proposing first in human studies to validate new tracers and contrast agents are usually reviewed in IPCA. CTIS generally reviews tracer and contrast agent applications when the agent is advanced to the point of human clinical trials. Non-clinical trial human studies may be reviewed in either CTIS or IPCA.
Emerging Imaging Technologies in Neuroscience [EITN] reviews applications to develop biomedical imaging to address clinical/translational challenges in neuroscience and neurology. If the translational use is neurological/neuroscience, the proposal is likely reviewed in EITN. Non-neurological translational applications are reviewed in CTIS.
Imaging Guided Interventions and Surgery [IGIS] also reviews developmental imaging proposals with a translational emphasis. If the clinical translation is an image guided surgery or medical treatment, the proposal will generally be reviewed in IGIS.
Biomedical Computing and Health Informatics Study Section [BCHI] reviews applications which focus on the development, validation, and use of computing or informatics systems integrating data from multiple datasets for clinical decision making. Imaging datasets may be included in proposals to integrate multiple data sources, and in this context they would be reviewed by BCHI. Applications to develop new ways to extract information from imaging data specifically and to apply the methods to clinical decision making are reviewed in CTIS.
Clinical Neuroscience and Neurodegeneration [CNN] reviews applications that use neuroimaging (MRI, DTI, MRS, PET and fMRI, etc), to identify molecular, anatomical or neuropathological biomarkers in the context of investigating risk, onset, progression, and treatment response in neurodegenerative disease. If the application uses established neuroimaging approaches, it is likely to be reviewed in CNN. If the emphasis is on the imaging system or protocol development with initial clinical translational aims where neuroscience is less central, the application may be reviewed in CTIS.
Acute Neural Injury and Epilepsy [ANIE] reviews applications that use imaging approaches for diagnosis, staging, and tracking of disease in epilepsy, traumatic brain injury, spinal cord injury, and stroke. If the application uses established neuroimaging approaches, it is likely to be reviewed in ANIE. If the emphasis is on the imaging system or protocol development with initial clinical translational aims where neuroscience is less central, the application may be reviewed in CTIS.
Clinical Oncology [CONC] reviews applications in clinical patient-oriented research including use of imaging biomarkers and imaging techniques for cancer detection, progression, and response to therapy. If the emphasis is on the imaging system or protocol development in diagnosis of cancer or monitoring progression and response to therapy, the application will be reviewed in CTIS.
Radiation Therapeutics and Biology [RTB] reviews applications on therapeutic interactions of ionizing radiation, radionuclides, electromagnetic radiation, and heat at the molecular, cellular, organ, and patient levels. Applications that focus on use of imaging and imaging analysis as related to targeting of radiation and assessment of response will be reviewed in RTB. Applications that are translational in nature and focused on developing or optimizing new imaging technologies and protocols related to radiation will be reviewed in CTIS.