Disciplines
Health Sciences (20%); Computer Sciences (60%); Medical-Theoretical Sciences, Pharmacy (20%)
Keywords
Molecular imaging,
FDG-PET,
Inter-Organ Connectome,
Healthy Controls,
Cancer,
AI
Abstract
Medical researchers are creating a database to map normal body metabolism using a
cutting-edge imaging technique called FDG-PET. This technology helps doctors see
how cells use sugar, a key indicator of health and disease. Typically used to detect
cancers, this study will use FDG-PET scans from healthy individuals to establish a
baseline of "normal" metabolism, factoring in differences like age, gender, and body
type.
The database will include scans from 900 healthy individuals, with some having
multiple scans over time. By comparing these healthy data with scans from cancer
patients, researchers aim to uncover patterns that show how diseases disrupt normal
metabolism. This could improve how diseases are diagnosed and treated, helping
doctors provide more personalized care.
The project brings together experts in imaging, biology, and data analysis from Japan
and Austria, using data from advanced PET/CT scans. The work has the potential to
advance our understanding of complex diseases and enhance medical imaging tools
to better serve patients worldwide.
- Hiroshi Wakabayashi - Japan