| 摘要 |
An automated system and method for assisting in decision making for the treatment of stroke patients is provided, and specifically for assisting a physician whether the patient should be administered a drug or transferred to another hospital to undergo an endovascular thrombectomy procedure. A variety of factors are input into the system with limited human intervention and a tool automatically determines the probability of whether the patient will have a better outcome if transferred or not. The factors include clinical factors, imaging factors and time to transfer factors. The tool includes processes for automatically determining several imaging factors, including the determination of clot length, collateral blood flow, the presence of forward blood flow within and around the clot, and the clot permeability. The tool has capability to continuously update the treatment protocol and other output results using current clinical, health system or other relevant information or feedback. |
| 主权项 |
1. A method for a decision support tool for evaluating a patient suffering from acute stroke, comprising:
receiving patient clinical information and patient brain scan electronic images at a processor; generating, at the processor, a patient brain imaging profile using the patient clinical information and the brain scan electronic images, the imaging profile identifying a quantity and eloquence of brain tissue that is irreversibly infarcted, an estimated rate or quantity of patient brain tissue that will become irreversibly infarcted at a future time based, a thrombus morphology associated with an estimate of a thrombus dissolving at the future time, and an estimated collateral blood flow; determining an estimated transport time to transfer the patient to a treatment facility and an estimated treatment time for receiving reperfusion at the treatment facility; dynamically determining, using the processor, a patient assessment profile by:
processing the patient clinical information, the patient brain imaging profile, the estimated transport time, and the estimated treatment time to generate input data values;dynamically deriving weighting factors as an assessment of importance or relevance of the input data values and assigning the weighting factors to the input data values;deriving as output data values for the patient assessment profile using the input data values and the weighting factors, the output data values being a probability of an expert treatment decision for transferring the patient to the treatment facility and providing the reperfusion at the treatment facility, and a visual representation of the thrombus morphology, the estimated collateral blood flow, and an estimated quantity of brain tissue that will likely become irreversibly infarcted after the estimated transport time and/or the estimated treatment time; outputting the output values as clinical decision support information to trigger display on a display device, storage on a storage device, or transmission to another processor using a transmitter. |
