METHOD OF PROGNOSIS OF EFFECTIVENESS OF CARDIAC RESYNCHRONIZATION THERAPY USING OPTIMIZATION OF LOCATION OF STIMULATING ELECTRODES Russian patent published in 2023 - IPC G16H50/50 G06F17/18 

Abstract RU 2806486 C1

FIELD: medicine.

SUBSTANCE: invention relates to a method of predicting the effectiveness of cardiac resynchronization therapy in patients with chronic heart failure. The applicant for resynchronization therapy undergoes a medical examination, from which data on BMI, LVEF_LV, and LVEF_LV are taken. Based on segmented CT and MRI images, a digital geometric model of the torso, lungs and heart is built in the form of a finite element mesh of the ventricles of the heart. The course of myocardial fibers is specified in the geometric model. Non-conductive areas of post-infarction scars and areas of fibrosis with reduced conductivity are marked. Combinations of electrode placement on the LV surface are modeled. Based on the geometric model, the first calculation of a personalized electrophysiological model of excitation of the ventricles of the heart is carried out in the mode of simulating the natural rhythm during blockade of the left bundle branch, as well as in the mode of biventricular stimulation. The resulting characteristics are substituted into the ML classifier. The first set of ML-score values on the LV surface is calculated. A regression model that predicts the second set of ML-score values for the algorithm-corrected second set of combinations of electrode placement on the LV surface is built. Bayesian optimization is used to select the stimulation point on the LV surface where the ML score has the maximum value. For this point, the characteristics of the ML classifier are calculated. The regression model is retrained at least twice until the algorithm achieves performance at which the last two iterations predicted the same point for which the ML-score value is recorded. If the ML score is greater than or equal to 0.5, it is predicted that the applicant for resynchronization therapy will be a responder. If the ML score is less than 0.5, it is predicted that the applicant for resynchronization therapy will be a non-responder.

EFFECT: prognosis of the effectiveness, feasibility and justification of CRT using optimization of the location of stimulating electrodes is provided, thus reducing the number of patients without effect from CRT.

1 cl, 4 dwg, 3 ex

Similar patents RU2806486C1

Title Year Author Number
METHOD OF PREDICTING “SUPER RESPONSE” TO CARDIAC RESYNCHRONIZATION THERAPY IN PATIENTS WITH COMPLETE LEFT BUNDLE BRANCH BLOCK AND CHRONIC HEART FAILURE OF VARIOUS ETIOLOGIES 2023
  • Atabekov Tariel Abdilazimovich
  • Mishkina Anna Ivanovna
  • Batalov Roman Efimovich
  • Sazonova Svetlana Ivanovna
  • Krivolapov Sergei Nikolaevich
  • Zavadovskii Konstantin Valerevich
  • Popov Sergei Valentinovich
RU2813796C1
METHOD FOR PREDICTION OF RESPONSE TO CARDIAC RESYNCHRONIZING THERAPY IN PATIENTS WITH CHRONIC HEART FAILURE 2019
  • Zavadovskij Konstantin Valerevich
  • Mishkina Anna Ivanovna
  • Lebedev Denis Igorevich
  • Lishmanov Yurij Borisovich
RU2721821C1
METHOD FOR PREDICTING THE EFFECTIVENESS OF PACING RESYNCHRONIZATION THERAPY IN PATIENTS WITH DILATED CARDIOMYOPATHY IN THE EARLY POSTOPERATIVE PERIOD 2020
  • Idov Eduard Mikhajlovich
  • Mikhajlov Sergej Pavlovich
  • Alueva Yuliya Sergeevna
  • Shakhmaeva Natalya Borisovna
  • Soloveva Olga Eduardovna
  • Chumarnaya Tatyana Vladislavovna
RU2801127C2
METHOD FOR PREDICTING SUPER-LIGHT ON A CARDIAC RESYNCHRONISING THERAPY IN PATIENTS WITH CHRONIC HEART FAILURE 2019
  • Kuznetsov Vadim Anatolevich
  • Shirokov Nikita Evgenevich
  • Soldatova Anna Mikhajlovna
  • Dyachkov Sergej Mikhajlovich
  • Enina Tatyana Nikolaevna
  • Krinochkin Dmitrij Vladislavovich
RU2746530C2
METHOD FOR PREDICTATION OF SUPER RESPONSE TO CARDIAC RESYNCHRONIZATION THERAPY FOR PATIENTS WITH CHRONIC HEART FAILURE 2016
  • Kuznetsov Vadim Anatolevich
  • Soldatova Anna Mikhajlovna
  • Krinochkin Dmitrij Vladislavovich
  • Enina Tatyana Nikolaevna
  • Petelina Tatyana Ivanovna
  • Rychkov Aleksandr Yurevich
  • Melnikov Nikolaj Nikolaevich
RU2623487C1
METHOD FOR PREDICTION OF RESPONSE TO CARDIAC RESYNCHRONISING THERAPY IN PATIENTS WITH CHRONIC HEART FAILURE 2018
  • Kuznetsov Vadim Anatolevich
  • Soldatova Anna Mikhajlovna
  • Enina Tatyana Nikolaevna
  • Dyachkov Sergej Mikhajlovich
  • Petelina Tatyana Ivanovna
  • Krinochkin Dmitrij Vladislavovich
RU2716479C1
METHOD FOR PREDICTION OF POSITIVE RESPONSE TO CARDIO-RESYNCHRONIZING THERAPY IN PATIENTS WITH CHRONIC HEART FAILURE OF II AND III FUNCTIONAL CLASS 2022
  • Atabekov Tariel Abdilazimovich
  • Mishkina Anna Ivanovna
  • Batalov Roman Efimovich
  • Sazonova Svetlana Ivanovna
  • Krivolapov Sergei Nikolaevich
  • Zavadovskii Konstantin Valerevich
  • Popov Sergei Valentinovich
RU2786467C1
METHOD OF SELECTING SURGICAL METHOD OF DELIVERING LEFT VENTRICULAR ELECTRODE IN TREATMENT OF SYNDROME OF CHRONIC H 2010
  • Lebedev Dmitrij Sergeevich
  • Osadchij Andrej Mikhajlovich
  • Marinin Valerij Alekseevich
RU2493779C2
METHOD FOR DETERMINING SEVERITY OF FIBROUS MYOCARDIAL DAMAGE USING MRT FOR SELECTING CANDIDATES FOR CARDIAC RESYNCHRONISING THERAPY 2018
  • Stukalova Olga Vladimirovna
  • Mironova Nataliya Aleksandrovna
  • Utsumueva Madina Dzhavatovna
  • Kashtanova Svetlana Yurevna
  • Malkina Tatyana Anatolevna
  • Golitsyn Sergej Pavlovich
  • Ternovoj Sergej Konstantinovich
RU2685643C1
METHOD FOR OPTIMISING ATRIOVENTRICULAR DELAY IN PATIENTS WITH CARDIAC RESYNCHRONISING THERAPY 2014
  • Lebedev Dmitrij Sergeevich
  • Lebedeva Viktorija Kimovna
  • Ljubimtseva Tamara Alekseevna
RU2551636C1

RU 2 806 486 C1

Authors

Soloveva Olga Eduardovna

Bazhutina Anastasiia Evgenevna

Dokuchaev Arsenii Dmitrievich

Rokeakh Roman Olegovich

Khamzin Sviatoslav Iurevich

Chumarnaia Tatiana Vladislavovna

Zubarev Stepan Vladimirovich

Lebedeva Viktoriia Kimovna

Lebedev Dmitrii Sergeevich

Liubimtseva Tamara Alekseevna

Dates

2023-11-01Published

2022-11-23Filed