US 11,723,615 B2
Diagnostic method, method for validation of diagnostic method, and treatment method
Yusuke Sekine, Chigasaki (JP); Atsushi Nomura, Tokyo (JP); Mitsuteru Yasunaga, Fujinomiya (JP); Kohtaroh Kusu, Fujinomiya (JP); and Haruhiko Kamijo, Hando (JP)
Assigned to TERUMO KABUSHIKI KAISHA, Tokyo (JP)
Filed by TERUMO KABUSHIKI KAISHA, Tokyo (JP)
Filed on Oct. 31, 2018, as Appl. No. 16/176,054.
Claims priority of application No. 2017-211407 (JP), filed on Oct. 31, 2017.
Prior Publication US 2019/0125194 A1, May 2, 2019
Int. Cl. A61B 6/00 (2006.01); A61B 5/02 (2006.01); A61B 5/00 (2006.01); A61B 8/08 (2006.01); A61B 17/00 (2006.01); G16H 30/40 (2018.01); G06T 7/00 (2017.01); G16H 20/40 (2018.01); G16H 50/20 (2018.01); G06F 18/21 (2023.01); G06V 10/764 (2022.01); A61B 5/05 (2021.01); A61B 6/03 (2006.01)
CPC A61B 6/503 (2013.01) [A61B 5/0075 (2013.01); A61B 5/02007 (2013.01); A61B 5/7267 (2013.01); A61B 6/504 (2013.01); A61B 6/5217 (2013.01); A61B 8/0883 (2013.01); A61B 8/0891 (2013.01); A61B 8/5223 (2013.01); A61B 17/00234 (2013.01); G06F 18/217 (2023.01); G06T 7/0012 (2013.01); G06V 10/764 (2022.01); G16H 20/40 (2018.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); A61B 5/05 (2013.01); A61B 6/032 (2013.01); A61B 6/481 (2013.01); A61B 2017/00292 (2013.01)] 14 Claims
OG exemplary drawing
 
1. A method for diagnosing and treating lesions in a plurality of bifurcated lumens, the plurality of bifurcated lumens being connected to a biological lumen via a bifurcation from a main lumen, the method comprising:
detecting electromagnetic waves obtained through a patient from an irradiation of the patient with irradiating electromagnetic waves, and obtaining electromagnetic wave information on the patient based on a change in the detected electromagnetic waves from the irradiating electromagnetic waves;
identifying a plurality of lesions from the electromagnetic wave information;
acquiring lesion curvature information on each of the plurality of lesions;
training a machine-learning algorithm with lesion curvature information;
selecting a guiding catheter to be inserted from a radial artery of an arm of the patient, the guiding catheter including a guiding catheter tip and a guiding catheter shaft; and
determining a lesion having a smallest lesion curvature to be treated first among the plurality of lesions based on the lesion curvature information with the machine-learning algorithm, and wherein the guiding catheter tip and the guiding catheter shaft of the selected guiding catheter is designed to avoid being deformed in the treatment of the lesion with the smallest lesion curvature.