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Advanced Tumor Imaging Approaches in Human Tumors
Samuel Nussbaum1, Mira Shoukry1, Mohammed Ali Ashary1
1Department of Surgery, Section of Surgical Oncology, Mayo Clinic, Jacksonville, FL 32224, USA.
Cancers
|March 25, 2022
Summary
Advancements in cancer imaging, including artificial intelligence, molecular imaging, and intravital imaging, enhance tumor detection and monitoring. Further human trials are needed to fully integrate these powerful diagnostic and therapeutic tools.
Area of Science:
- Oncology
- Medical Imaging
- Biotechnology
Background:
- Cancer management relies heavily on imaging for detection and monitoring.
- Technological improvements in imaging modalities continually enhance tumor characterization.
- Recent discoveries about tumor nature are driven by evolving imaging technologies.
Purpose of the Study:
- To review recent advancements in cancer imaging techniques.
- To highlight the role of artificial intelligence, molecular imaging, and intravital imaging.
- To emphasize the need for further research and clinical trials.
Main Methods:
- Review of artificial intelligence applications in image quality enhancement.
- Analysis of molecular imaging for cancer diagnosis using specific probes.
- Exploration of intravital imaging for understanding tumor vasculature heterogeneity.
Main Results:
- Artificial intelligence improves image quality but lacks widespread clinical implementation.
- Molecular imaging demonstrates utility in diagnosing cancers via specific contrast agents.
- Intravital imaging reveals crucial details about tumor vascular heterogeneity.
Conclusions:
- Artificial intelligence, molecular imaging, and intravital imaging offer significant insights into cancer diagnosis and treatment.
- Further research and human trials are essential to fully leverage these advanced imaging techniques in clinical practice.
