Validation of a built-in software in automatically reconstructing the tomographic images of the levator ani muscle

被引:0
|
作者
Qu, Enze [1 ]
Wu, Shuangyu [1 ]
Zhang, Man [1 ]
Huang, Zeping [1 ]
Zheng, Zhijuan [1 ]
Zhang, Xinling [1 ]
机构
[1] Sun Yat Sen Univ, Affiliated Hosp 3, Dept Ultrasound, 600 Tianhe Rd, Guangzhou, Guangdong, Peoples R China
关键词
Levator ani muscle; Women; Artificial intelligence; Software; Smart-pelvic (TM); Ultrasonography; CYSTOCELE RECURRENCE; PUBORECTALIS MUSCLE; PELVIC FLOOR; AVULSION; WOMEN; VALIDITY; PROLAPSE; INJURY; TRAUMA;
D O I
10.1007/s00192-023-05686-z
中图分类号
R71 [妇产科学];
学科分类号
100211 ;
摘要
Introduction and hypothesis: Transperineal ultrasound (TPUS) is an effective tool for evaluating the integrity of the levator ani muscle (LAM). Several operating steps are required to obtain the standard multi-slice image of the LAM, which is experience dependent and time consuming. This study was aimed at evaluating the feasibility and reproducibility of the built-in software, Smart-pelvic (TM), in reconstructing standard tomographic images of LAM from 3D/4D TPUS volumes.Methods: This study was conducted at a tertiary teaching hospital, enrolling women who underwent TPUS. Tomographic images of the LAM were automatically reconstructed by Smart-pelvic (TM) and rated by two experienced observers as standard or nonstandard. The anteroposterior diameter (APD) of the levator hiatus was also measured on the mid-sagittal plane of the automatically and manually reconstructed images. The APD measurements of each approach were compared using Bland-Altman plots, and interclass correlation coefficient (ICC) was used to evaluate intra- and inter-observer reproducibility. Meanwhile, the time taken for the reconstruction process of both methods was also recorded.Results: The ultrasound volume of a total of 104 patients were included in this study. Using Smart-pelvic (TM), the overall success rate of the tomographic image reconstruction was 98%. Regarding measurements of APD, the ICC between the automatic and manual reconstruction methods was 0.99 (0.98, 0.99). The average time taken for reconstruction per case was 2.65 +/- 0.52 s and 22.08 +/- 3.45 s, respectively.Conclusions: Using Smart-pelvic (TM) to reconstruct tomographic images of LAM is feasible, and it can promote TPUS by reducing operator dependence and improving examination efficiency in a clinical setting.
引用
收藏
页码:175 / 181
页数:7
相关论文
共 17 条
  • [1] Validation of a built-in software in automatically reconstructing the tomographic images of the levator ani muscle
    Enze Qu
    Shuangyu Wu
    Man Zhang
    Zeping Huang
    Zhijuan Zheng
    Xinling Zhang
    International Urogynecology Journal, 2024, 35 : 175 - 181
  • [2] Pelvic floor images: Anatomy of the levator ani muscle
    Guo, Maolin
    Li, Dawei
    DISEASES OF THE COLON & RECTUM, 2007, 50 (10) : 1647 - 1655
  • [3] Appearance of the levator ani muscle subdivisions in magnetic resonance images
    Margulies, Rebecca U.
    Hsu, Yvonne
    Kearney, Rohna
    Stein, Tamara
    Umek, Wolfgang H.
    DeLancey, John O. L.
    OBSTETRICS AND GYNECOLOGY, 2006, 107 (05): : 1064 - 1069
  • [4] Levator ani muscle avulsion: Digital palpation versus tomographic ultrasound imaging
    Kamisan Atan, Ixora
    Lin, Sylvia
    Dietz, Hans Peter
    Herbison, Peter
    Wilson, Peter Donald
    INTERNATIONAL JOURNAL OF GYNECOLOGY & OBSTETRICS, 2022, 156 (02) : 270 - 275
  • [5] Interrater reliability of assessing levator ani muscle defects with magnetic resonance images
    Daniel M. Morgan
    Wolfgang Umek
    Tamara Stein
    Yvonne Hsu
    Kenneth Guire
    John O. L. DeLancey
    International Urogynecology Journal, 2007, 18 : 773 - 778
  • [6] Interrater reliability of assessing levator ani muscle defects with magnetic resonance images
    Morgan, Daniel M.
    Umek, Wolfgang
    Stein, Tamara
    Hsu, Yvonne
    Guire, Kenneth
    DeLancey, John O. L.
    INTERNATIONAL UROGYNECOLOGY JOURNAL, 2007, 18 (07) : 773 - 778
  • [7] Development and validation of a composite AI model for the diagnosis of levator ani muscle avulsion
    Wu, Shuangyu
    Ren, Yong
    Lin, Xin
    Huang, Zeping
    Zheng, Zhijuan
    Zhang, Xinling
    EUROPEAN RADIOLOGY, 2022, 32 (09) : 5898 - 5906
  • [8] Development and validation of a composite AI model for the diagnosis of levator ani muscle avulsion
    Shuangyu Wu
    Yong Ren
    Xin Lin
    Zeping Huang
    Zhijuan Zheng
    Xinling Zhang
    European Radiology, 2022, 32 : 5898 - 5906
  • [9] The appearance of levator ani muscle abnormalities in magnetic resonance images after vaginal delivery
    DeLancey, JOL
    Kearney, R
    Chou, Q
    Speights, S
    Binno, S
    OBSTETRICS AND GYNECOLOGY, 2003, 101 (01): : 46 - 53
  • [10] In vivo evidence of significant levator ani muscle stretch on MR images of a live childbirth
    Sindhwani, Nikhil
    Bamberg, Christian
    Famaey, Nele
    Callewaert, Geertje
    Dudenhausen, Joachim W.
    Teichgraeber, Ulf
    Deprest, Jan
    AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGY, 2017, 217 (02) : 194.e1 - 194.e8