Feasibility study of automated cardiac motion quantification to assess left ventricular function in type 2 diabetes

被引:0
|
作者
Yiming Li
Cungang Wu
Yuhong Li
机构
[1] First Affiliated Hospital With Jinzhou Medical University,Department of Medical Ultrasonics
来源
Scientific Reports | / 13卷
关键词
D O I
暂无
中图分类号
学科分类号
摘要
The global incidence of diabetes and related complications is gradually increasing, with cardiovascular complications being the leading cause of death in the diabetic population. The purpose of this study was to examine left ventricular function in individuals with type 2 diabetes mellitus (T2D) and conduct a feasibility analysis using automated cardiac motion quantification (aCMQ) approach. A total of 150 T2D patients with a history of diabetes mellitus dating back more than 10 years were chosen, and we treated 87 patients with T2D that had been present for less than 15 years as group I, 63 patients with T2D that had been present for more than 15 years as group II, and 50 healthy volunteers as the control group. From the three groups, clinical information, conventional ultrasonography parameters, and mitral annular plane systolic excursion (MAPSE) parameters were gathered. aCMQ technique was used to collect longitudinal strain and circumferential strain in the left ventricle. Tissue motion mitral annular displacement technique (TMAD) in aCMQ was used to collect parameters related to TMAD, and cardiac motion quantification (CMQ) was used to collect two-dimensional global longitudinal strain (2D-GLS) to compare the degree of difference between the aforementioned three groups. The differences between longitudinal strain groups in aCMQ were all statistically significant and gradually decreased with increasing disease duration. Most TMAD parameters were lower in groups I and II than in the control group, and TMAD parameters gradually decreased with increasing disease duration. The results of the LV global longitudinal strain and 2D-GLS using Bland–Altman analyses showed high agreement between and within groups, Pearson correlation analysis showed a significant positive correlation (r = 0.18, P < 0.05), and the AUC of ROC curves predicting the value of left ventricular function in patients with T2D was 0.723 and 0.628, respectively. With significant positive correlations between MAPSE, s', and the majority of the TAMD parameters (P < 0.05), TAMD, MAPSE, and s' demonstrated high inter- and intra-group agreement using Bland–Altman analyses, and the three had predictive value in assessing left ventricular function in T2D patients by ROC curve. Reduced longitudinal strain and reduced mitral annular displacement were seen in patients with different disease stages of T2D, so the application of aCMQ and TAMD was effective in detecting altered left ventricular function in patients with T2D. aCMQ had higher value in predicting left ventricular function in patients with T2D compared to CMQ for overall longitudinal strain, and the software performed the depiction automatically, reducing manual errors. MAPSE parameters and s ' can replace the TMAD technique for assessing mitral annular motion and was simpler to perform, saving operational time.
引用
收藏
相关论文
共 50 条
  • [1] Feasibility study of automated cardiac motion quantification to assess left ventricular function in type 2 diabetes
    Li, Yiming
    Wu, Cungang
    Li, Yuhong
    SCIENTIFIC REPORTS, 2023, 13 (01)
  • [2] Reliability and feasibility of automated function imaging for quantification in patients with left ventricular dilation: comparison with cardiac magnetic resonance
    Chen, Yefen
    Hua, Wei
    Yang, Wenbo
    Shi, Zhongwei
    Fang, Yuehua
    INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING, 2022, 38 (06): : 1267 - 1276
  • [3] Left atrial velocity vector imaging for the detection and quantification of left ventricular diastolic function in type 2 diabetes
    Jarnert, Christina
    Melcher, Anders
    Caidahl, Kenneth
    Persson, Hans
    Ryden, Lars
    Eriksson, Maria J.
    EUROPEAN JOURNAL OF HEART FAILURE, 2008, 10 (11) : 1080 - 1087
  • [4] Automated quantification of left ventricular function by the automated contour tracking method
    Sugioka, K
    Hozumi, T
    Yagi, T
    Yamamuro, A
    Akasaka, T
    Takeuchi, K
    Homma, S
    Yoshida, K
    Yoshikawa, J
    ECHOCARDIOGRAPHY-A JOURNAL OF CARDIOVASCULAR ULTRASOUND AND ALLIED TECHNIQUES, 2003, 20 (04): : 313 - 318
  • [5] Left ventricular function in type 2 diabetes patients without cardiac symptoms in Zaria, Nigeria
    Danbauchi, SS
    Anumah, FE
    Alhassan, MA
    David, SO
    Onyemelukwe, GC
    Oyati, IA
    ETHNICITY & DISEASE, 2005, 15 (04) : 635 - 640
  • [6] Left ventricular function in patients with type 2 diabetes mellitus
    Htay, T
    Mehta, D
    Heo, J
    Iskandrian, AE
    AMERICAN JOURNAL OF CARDIOLOGY, 2005, 95 (06): : 798 - 801
  • [7] Study on Left Ventricular Systolic Function in Polycystic Ovary Syndrome Patients with Insulin Resistance Evaluated by Cardiac Motion Quantification
    Du Qigen
    Liang, Jie
    Du, Qigen
    JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY, 2016, 68 (16) : C125 - C125
  • [8] Feasibility and Accuracy of the Automated Software for Dynamic Quantification of Left Ventricular and Atrial Volumes and Function in a Large Unselected Population
    Italiano, Gianpiero
    Tamborini, Gloria
    Fusini, Laura
    Mantegazza, Valentina
    Doldi, Marco
    Celeste, Fabrizio
    Gripari, Paola
    Muratori, Manuela
    Lang, Roberto M.
    Pepi, Mauro
    JOURNAL OF CLINICAL MEDICINE, 2021, 10 (21)
  • [9] Left Ventricular Diastolic Function in Type 2 Diabetes Mellitus and the Association With Coronary Artery Calcium Score: A Cardiac MRI Study
    Graca, Bruno
    Donato, Paulo
    Ferreira, Maria Joao
    Castelo-Branco, Miguel
    Caseiro-Alves, Filipe
    AMERICAN JOURNAL OF ROENTGENOLOGY, 2014, 202 (06) : 1207 - 1214
  • [10] Impact of overweight on left ventricular function in type 2 diabetes mellitus
    Suto, Makiko
    Tanaka, Hidekazu
    Mochizuki, Yasuhide
    Mukai, Jun
    Takada, Hiroki
    Soga, Fumitaka
    Dokuni, Kumiko
    Hatani, Yutaka
    Hatazawa, Keiko
    Matsuzoe, Hiroki
    Sano, Hiroyuki
    Shimoura, Hiroyuki
    Ooka, Junichi
    Matsumoto, Kensuke
    Hirota, Yushi
    Ogawa, Wataru
    Hirata, Ken-ichi
    CARDIOVASCULAR DIABETOLOGY, 2017, 16