Abstract: The present invention describes a new functional biomarker of vascular inflammation and its use in predicting all-cause or cardiac mortality. The invention also provides a method for stratifying patients according to their risk of all-cause or cardiac mortality using data gathered from a computer tomography scans of a blood vessel to determine a specific combination of structural and functional biomarkers of vascular inflammation and disease.

Abstract: The present invention describes a new functional biomarker of vascular inflammation and its use in predicting all-cause or cardiac mortality. The invention also provides a method for stratifying patients according to their risk of all-cause or cardiac mortality using data gathered from a computer tomography scans of a blood vessel to determine a specific combination of structural and functional biomarkers of vascular inflammation and disease.

Abstract: The present invention describes a new functional biomarker of vascular inflammation and its use in predicting all-cause or cardiac mortality. The invention also provides a method for stratifying patients according to their risk of all-cause or cardiac mortality using data gathered from a computer tomography scans of a blood vessel to determine a specific combination of structural and functional biomarkers of vascular inflammation and disease.

Abstract: The present invention describes a new functional biomarker of vascular inflammation and its use in predicting all-cause or cardiac mortality. The invention also provides a method for stratifying patients according to their risk of all-cause or cardiac mortality using data gathered from a computer tomography scans of a blood vessel to determine a specific combination of structural and functional biomarkers of vascular inflammation and disease.

Abstract: The present invention describes a new functional biomarker of vascular inflammation and its use in predicting all-cause or cardiac mortality. The invention also provides a method for stratifying patients according to their risk of all-cause or cardiac mortality using data gathered from a computer tomography scans of a blood vessel to determine a specific combination of structural and functional biomarkers of vascular inflammation and disease.

Abstract: A method of characterizing a sample comprising a thrombus collected from a patient is described. The method comprises illuminating the sample with electromagnetic light, detecting light reflected or Raman scattered by the sample at a plurality of wavelengths, and classifying the sample based on a spectral analysis of the detected reflected or Raman scattered light. The spectral analysis may comprise principal component analysis PCA, discriminant function analysis DFA, or cluster analysis. The classification may be according to thrombus color, i.e., erythrocyte rich “red” versus erythrocyte poor “white”, or according to degree of a clinical marker, e.g., microvascular obstruction MVO.

Abstract: 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.

Abstract: The present invention describes a new functional biomarker of vascular inflammation and its use in predicting all-cause or cardiac mortality. The invention also provides a method for stratifying patients according to their risk of all-cause or cardiac mortality using data gathered from a computer tomography scans of a blood vessel to determine a specific combination of structural and functional biomarkers of vascular inflammation and disease.