Pancreatic Cancer Imaging: A New Look at an Old Problem
| Autor: | Satomi Kawamoto, Ralph H. Hruban, Alan L. Yuille, Seyoun Park, Linda C. Chu, Elliot K. Fishman |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
medicine.medical_specialty
medicine.diagnostic_test business.industry Computed tomography medicine.disease Optimal management 030218 nuclear medicine & medical imaging Pancreatic Neoplasms 03 medical and health sciences 0302 clinical medicine Artificial Intelligence 030220 oncology & carcinogenesis Pancreatic cancer medicine Humans Image acquisition Radiology Nuclear Medicine and imaging Medical physics Stage (cooking) Tomography X-Ray Computed business |
| Zdroj: | Current Problems in Diagnostic Radiology. 50:540-550 |
| ISSN: | 0363-0188 |
| DOI: | 10.1067/j.cpradiol.2020.08.002 |
| Popis: | Computed tomography is the most commonly used imaging modality to detect and stage pancreatic cancer. Previous advances in pancreatic cancer imaging have focused on optimizing image acquisition parameters and reporting standards. However, current state-of-the-art imaging approaches still misdiagnose some potentially curable pancreatic cancers and do not provide prognostic information or inform optimal management strategies beyond stage. Several recent developments in pancreatic cancer imaging, including artificial intelligence and advanced visualization techniques, are rapidly changing the field. The purpose of this article is to review how these recent advances have the potential to revolutionize pancreatic cancer imaging. |
| Databáze: | OpenAIRE |
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