Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Leg --- Phlebography --- Veins --- Venography --- Phlebographies --- Venographies --- blood supply --- Phlebography.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

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.

Medicine --- COVID-19 --- chest X-ray --- deep learning --- convolutional neural network --- Grad-CAM --- computed tomography --- image analysis --- osteoarthritis --- reliability --- FDG-PET/CT --- infection --- bloodstream infection --- endocarditis --- vascular graft infection --- spondylodiscitis --- cyst infection --- white blood cell scintigraphy --- total body PET/CT --- radiotracers --- artificial intelligence --- contrast media --- body composition --- large vessel vasculitis --- atherosclerosis --- imaging --- FDG-PET --- radiological imaging --- MRI --- non-contrast --- venography --- TRANCE --- QFlow --- neuroblastoma --- nuclear medicine --- radionuclide imaging --- [123I]mIBG --- [124I]mIBG --- [18F]mFBG --- [18F]FDG --- [68Ga]Ga-DOTA peptides --- [18F]F-DOPA --- [11C]mHED --- chronic limb-threatening ischemia --- peripheral arterial disease --- calcification pattern --- diffuse idiopathic skeletal hyperostosis --- risk factors --- adiposity --- intra-abdominal fat --- cardiorenal syndrome --- imaging biomarker --- tissue characterization --- cerebral aneurysm --- computational fluid dynamics --- hemodynamic --- morphological --- rupture --- COVID-19 --- chest X-ray --- deep learning --- convolutional neural network --- Grad-CAM --- computed tomography --- image analysis --- osteoarthritis --- reliability --- FDG-PET/CT --- infection --- bloodstream infection --- endocarditis --- vascular graft infection --- spondylodiscitis --- cyst infection --- white blood cell scintigraphy --- total body PET/CT --- radiotracers --- artificial intelligence --- contrast media --- body composition --- large vessel vasculitis --- atherosclerosis --- imaging --- FDG-PET --- radiological imaging --- MRI --- non-contrast --- venography --- TRANCE --- QFlow --- neuroblastoma --- nuclear medicine --- radionuclide imaging --- [123I]mIBG --- [124I]mIBG --- [18F]mFBG --- [18F]FDG --- [68Ga]Ga-DOTA peptides --- [18F]F-DOPA --- [11C]mHED --- chronic limb-threatening ischemia --- peripheral arterial disease --- calcification pattern --- diffuse idiopathic skeletal hyperostosis --- risk factors --- adiposity --- intra-abdominal fat --- cardiorenal syndrome --- imaging biomarker --- tissue characterization --- cerebral aneurysm --- computational fluid dynamics --- hemodynamic --- morphological --- rupture

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

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.

COVID-19 --- chest X-ray --- deep learning --- convolutional neural network --- Grad-CAM --- computed tomography --- image analysis --- osteoarthritis --- reliability --- FDG-PET/CT --- infection --- bloodstream infection --- endocarditis --- vascular graft infection --- spondylodiscitis --- cyst infection --- white blood cell scintigraphy --- total body PET/CT --- radiotracers --- artificial intelligence --- contrast media --- body composition --- large vessel vasculitis --- atherosclerosis --- imaging --- FDG-PET --- radiological imaging --- MRI --- non-contrast --- venography --- TRANCE --- QFlow --- neuroblastoma --- nuclear medicine --- radionuclide imaging --- [123I]mIBG --- [124I]mIBG --- [18F]mFBG --- [18F]FDG --- [68Ga]Ga-DOTA peptides --- [18F]F-DOPA --- [11C]mHED --- chronic limb-threatening ischemia --- peripheral arterial disease --- calcification pattern --- diffuse idiopathic skeletal hyperostosis --- risk factors --- adiposity --- intra-abdominal fat --- cardiorenal syndrome --- imaging biomarker --- tissue characterization --- cerebral aneurysm --- computational fluid dynamics --- hemodynamic --- morphological --- rupture --- n/a