Method for providing a perfusion based complication prediction and clinical decision support system

A computer-based Clinical Decision Support System (CDSS) configured to provide a perfusion based complication prediction for blood vessel related operation outcomes, the computer-based CDSS system comprising:

• a computer connected to or comprising a database and configured to run a software program configured to perform a method comprising:
• loading from a database, ICG perfusion image time series of a patient's organ receiving blood supply from an operated on blood vessel from times T1, T2 and T3, wherein:
• T1 denotes a time before clamping shut the blood vessel;
• T2 denotes a time after fully clamping shut the blood vessel and before repair of the blood vessel;
• and
• T3 denotes a time after finishing the repair of the blood vessel and removing the clamp;
• normalizing the T1, T2 and T3 perfusion image time series to a common standard and ICG fluorescence intensity time series extracted for a plurality of Regions of Interest on an organ supplied by the vessel;
• taking a set of one or more collective characteristics of the fluorescence intensity time series at T1 and T2 as benchmarks for unobstructed and maximally obstructed blood supply, respectively;
• evaluating the same set of collective characteristics of the fluorescence intensity time series at T3 with respect to its collective proximity to those of the perfusion image time series at T1 and T2, respectively, the proximity to either being taken as an indicator for a complication prediction;
• and
• outputting the complication prediction based on the outcome of the evaluation with respect to its collective proximity.

A non-transitory computer-readable storage medium storing software code that causes a computer of a computer-based CDSS to perform a method comprising:

• loading from a database, ICG perfusion image time series of a patient's organ receiving blood supply from an operated on blood vessel from times T1, T2 and T3, wherein:
• T1 denotes a time before clamping shut the blood vessel;
• T2 denotes a time after fully clamping shut the blood vessel and before repair of the blood vessel;
• and
• T3 denotes a time after finishing the repair of the blood vessel and removing the clamp;
• normalizing the T1, T2 and T3 perfusion image time series to a common standard and ICG fluorescence intensity time series extracted for a plurality of Regions of Interest on an organ supplied by the vessel;
• taking a set of one or more collective characteristics of the fluorescence intensity time series at T1 and T2 as benchmarks for unobstructed and maximally obstructed blood supply, respectively;
• evaluating the same set of collective characteristics of the fluorescence intensity time series at T3 with respect to its collective proximity to those of the perfusion image time series at T1 and T2, respectively, the proximity to either being taken as an indicator for a complication prediction;
• and
• outputting the complication prediction based on the outcome of the evaluation with respect to its collective proximity.