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Systems Radiology and Personalized Medicine
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Medicine has evolved into a high level of specialization using the very detailed imaging of organs. This has impressively solved a multitude of acute health-related problems linked to single-organ diseases. Many diseases and pathophysiological processes, however, involve more than one organ. An organ-based approach is challenging when considering disease prevention and caring for elderly patients, or those with systemic chronic diseases or multiple co-morbidities. In addition, medical imaging provides more than a pretty picture. Much of the data are now revealed by quantitating algorithms with or without artificial intelligence. This Special Issue on “Systems Radiology and Personalized Medicine” includes reviews and original studies that show the strengths and weaknesses of structural and functional whole-body imaging for personalized medicine.
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Keywords
- adiposity
- artificial intelligence
- Atherosclerosis
- bloodstream infection
- Body Composition
- calcification pattern
- cardiorenal syndrome
- cerebral aneurysm
- chest X-ray
- chronic limb-threatening ischemia
- computational fluid dynamics
- Computed Tomography
- contrast media
- convolutional neural network
- COVID-19
- cyst infection
- deep learning
- diffuse idiopathic skeletal hyperostosis
- endocarditis
- FDG-PET
- FDG-PET/CT
- Grad-CAM
- hemodynamic
- Image analysis
- imaging
- imaging biomarker
- Infection
- intra-abdominal fat
- large vessel vasculitis
- medicine
- morphological
- MRI
- n/a
- Neuroblastoma
- non-contrast
- nuclear medicine
- Osteoarthritis
- peripheral arterial disease
- QFlow
- radiological imaging
- Radionuclide imaging
- radiotracers
- Reliability
- Risk factors
- rupture
- spondylodiscitis
- tissue characterization
- total body PET/CT
- trance
- vascular graft infection
- venography
- white blood cell scintigraphy
- [11C]mHED
- [123I]mIBG
- [124I]mIBG
- [18F]F-DOPA
- [18F]FDG
- [18F]mFBG
- [68Ga]Ga-DOTA peptides
Links
DOI: 10.3390/books978-3-0365-2109-1Editions