Diagnostic method, method for validation of diagnostic method, and treatment method

A method for diagnosing multiple lesions by artificial intelligence in a plurality of bifurcated lumens for treatment by catheter intervention, the plurality of bifurcated lumens being connected to a biological lumen via a bifurcation from a main lumen, the main lumen being an aorta, the bifurcation being an aortailiac bifurcation, and the plurality of bifurcated lumens being left and right lower limb arteries, and the left and right lower limb arteries each have lesions, the method comprising:

• detecting electromagnetic waves obtained through a patient by irradiating the patient with electromagnetic waves, and obtaining electromagnetic wave information on the patient based on a changed electromagnetic wave;
• identifying a plurality of lesions from the electromagnetic wave information, the plurality of lesions including one or more lesions in each of the plurality of bifurcated lumens;
• acquiring lesion curvature information from the electromagnetic wave information on each of the plurality of lesions;
• determining a lesion to be treated first among the plurality of lesions based on the lesion curvature information of each of the one or more lesion in each of the plurality of bifurcated lumens, the lesion to be treated first being in one of the plurality of bifurcated lumens, and wherein the lesion having a larger lesion curvature of the plurality of lesions is to be treated first based on the lesion curvature information;
• determining a lesion to be treated subsequently among the plurality of lesions based on the lesion curvature information of each of the one or more lesions in each of the plurality of bifurcated lumens, the lesion to be treated subsequently being in another of the plurality of bifurcated lumens, and wherein the treatment of the plurality of lesions is with a guide wire and/or a guiding catheter, and a treatment catheter;
• obtaining the lesion curvature information from the bifurcation for each of the plurality of lesions;
• selecting the guide wire and/or the guiding catheter, and the treatment catheter based on the lesion curvature information of each of the one or more lesions in each of the plurality of bifurcated lumens;
• and
• inserting the guide wire and/or the guiding catheter, and the treatment catheter from a radial artery of an arm.

A validation method for diagnosing multiple lesions by in a biological lumen by catheter intervention in which a plurality of bifurcated lumens are connected via a bifurcation from a main lumen, the validation method comprising:

• training a machine-learning algorithm with lesion curvature information, types of guide wires, types of catheters, types of treatment catheters, and operation times for completed treatments;
• detecting electromagnetic waves obtained through a patient by irradiating the patient with electromagnetic waves, and obtaining electromagnetic wave information on the patient based on a changed electromagnetic wave;
• using the machine-learning algorithm to identify a plurality of lesions from the electromagnetic wave information, acquire lesion curvature information on each of the plurality of lesions from the electromagnetic wave information, and determine a lesion to be treated first among the plurality of lesions based on the lesion curvature information and a lesion to be treated subsequently among the plurality of lesions, the plurality of lesions including one or more lesions in each of the plurality of bifurcated lumens;
• determining the lesion to be treated first among the plurality of lesions based on the lesion curvature information of each of the one or more lesion in each of the plurality of bifurcated lumens, the lesion to be treated first being in one of the plurality of bifurcated lumens;
• determining the lesion to be treated subsequently among the plurality of lesions based on the lesion curvature information of each of the one or more lesions in each of the plurality of bifurcated lumens, the lesion to be treated subsequently being in another of the plurality of bifurcated lumens;
• and
• validating a diagnosis using the lesion curvature information.

A treatment method for treating a patient having a lesion in each of left and right lower limb arteries connected via an aortailiac bifurcation to the aorta with a machine-learning algorithm, the method comprising:

• training a machine-learning algorithm with lesion curvature information, types of guide wires, types of catheters, types of treatment catheters, and operation times for completed treatments;
• detecting electromagnetic waves obtained through a patient by irradiating the patient with electromagnetic waves, and obtaining electromagnetic wave information on the patient based on a changed electromagnetic wave;
• using the machine-learning algorithm to identify a plurality of lesions from the electromagnetic wave information, acquire lesion curvature information on each of the plurality of lesions from the electromagnetic wave information, and determine a lesion to be treated first among the plurality of lesions based on the lesion curvature information and a lesion to be treated subsequently among the plurality of lesions, the plurality of lesions including one or more lesions in each of the plurality of bifurcated lumens;
• determining a lesion having a larger lesion curvature to be the lesion to be treated first among the plurality of lesions based on the lesion curvature information of each of the one or more lesion in each of the plurality of bifurcated lumens, the lesion to be treated first being in one of the plurality of bifurcated lumens;
• determining a lesion having a smaller lesion curvature to be the lesion to be treated subsequently among the plurality of lesions based on the lesion curvature information of each of the one or more lesions in each of the plurality of bifurcated lumens, the lesion to be treated subsequently being in another of the plurality of bifurcated lumens;
• selecting a catheter and a therapeutic catheter based on the lesion curvature information of each of the one or more lesions in each of the plurality of bifurcated lumens;
• introducing the catheter from an artery of an arm of the patient, advancing and placing a catheter tip of the catheter to at least the aortailiac bifurcation of the patient;
• inserting the therapeutic catheter into a lumen of the catheter positioned, projecting a therapeutic catheter tip of the therapeutic catheter from the catheter tip;
• and
• treating the lesion having the larger lesion curvature first, and then projecting the therapeutic catheter tip of the therapeutic catheter from the catheter tip to treat the lesion having the smaller lesion curvature.