Oxford University Innovation Ltd

Alexios Antonopoulos

Charalambos Antoniades

Stefan Neubauer

Keith Channon

Henry West

A method for characterising a region of interest comprising adipose tissue using medical imaging data of a subject is disclosed. The method comprises calculating the value of a radiomic signature of the region of interest using the medical imaging data. Also disclosed is a method for deriving a radiomic signature indicative of adipose tissue dysfunction. The method comprises obtaining a radiomic dataset and using the radiomic dataset to construct a radiomic signature of a region of interest comprising adipose tissue. Also disclosed are systems for performing the aforementioned methods.

Radiomic signature of adipose

A method for characterising an epicardial region using medical imaging data of a subject. The method comprises calculating the value of an epicardial radiomic signature of the epicardial region using the medical imaging data. Also disclosed is a method for deriving an epicardial radiomic signature indicative of cardiac health. The method comprises using a radiomic dataset to construct an epicardial radiomic signature. Also disclosed are systems for performing the aforementioned methods.

Radiomic signature of an epicardial region

A method for characterising a region of interest comprising adipose tissue using medical imaging data, e.g. based on computer tomography (CT) of a subject is disclosed. The method comprises calculating the value of a radiomic signature of the region of interest using the medical imaging data. Also disclosed is a method for deriving a radiomic signature indicative of adipose tissue dysfunction. The method comprises obtaining a radiomic dataset and using the radiomic dataset to construct a radiomic signature of a region of interest comprising adipose tissue. Also disclosed are systems for performing the aforementioned methods.

Methods for volumetric characterisation of perivascular adipose tissue use data collected by computed tomography (CT) scanning. The volumetric characterisation of perivascular adipose tissue allows the inflammatory status of underlying blood vessels to be established by CT scanning. This is of use in the diagnosis, prognosis and treatment of coronary and vascular disease.

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Headington, United Kingdom

Alexios Antonopoulos