切换至 "中华医学电子期刊资源库"

中华医学超声杂志(电子版) ›› 2024, Vol. 21 ›› Issue (08) : 794 -801. doi: 10.3877/cma.j.issn.1672-6448.2024.08.008

妇产科超声影像学

全栈式自动盆底超声与手动方式获取并测量最小肛提肌裂孔平面的一致性评价
叶婷婷1, 李清莹2, 陈华3, 曾华萍3, 王诗雅3, 巫敏3, 郭娟3, 陈梦华3, 唐婵贤3, 梁凤婷4, 王慧芳3,()   
  1. 1. 518055 深圳大学总医院超声科;518035 深圳市第二人民医院超声科
    2. 518035 深圳市第二人民医院超声科;518107 深圳,中山大学附属第七医院超声科
    3. 518035 深圳市第二人民医院超声科
    4. 523320 东莞市第三人民医院超声科
  • 收稿日期:2024-01-09 出版日期:2024-08-01
  • 通信作者: 王慧芳
  • 基金资助:
    深圳市医疗卫生三名工程(SZSM201612027); 深圳市医学重点学科(SZXK052)

Consistency of full-stack smart pelvic floor ultrasound and manual method in obtaining and measuring the minimum levator hiatus plane

Tingting Ye1, Qingying Li2, Hua Chen3, Huaping Zeng3, Shiya Wang3, Min Wu3, Juan Guo3, Menghua Chen3, Chanxian Tang3, Fengting Liang4, Huifang Wang3,()   

  1. 1. Department of Ultrasound, Shenzhen University General Hospital, Shenzhen 518055, China; Department of Ultrasound, Shenzhen Second People's Hospital, Shenzhen 518035, China
    2. Department of Ultrasound, Shenzhen Second People's Hospital, Shenzhen 518035, China; Department of Ultrasound, the Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen 518107, China
    3. Department of Ultrasound, Shenzhen Second People's Hospital, Shenzhen 518035, China
    4. Department of Ultrasound, Dongguan Third People's Hospital, Dongguan 523320, China
  • Received:2024-01-09 Published:2024-08-01
  • Corresponding author: Huifang Wang
引用本文:

叶婷婷, 李清莹, 陈华, 曾华萍, 王诗雅, 巫敏, 郭娟, 陈梦华, 唐婵贤, 梁凤婷, 王慧芳. 全栈式自动盆底超声与手动方式获取并测量最小肛提肌裂孔平面的一致性评价[J/OL]. 中华医学超声杂志(电子版), 2024, 21(08): 794-801.

Tingting Ye, Qingying Li, Hua Chen, Huaping Zeng, Shiya Wang, Min Wu, Juan Guo, Menghua Chen, Chanxian Tang, Fengting Liang, Huifang Wang. Consistency of full-stack smart pelvic floor ultrasound and manual method in obtaining and measuring the minimum levator hiatus plane[J/OL]. Chinese Journal of Medical Ultrasound (Electronic Edition), 2024, 21(08): 794-801.

目的

探讨全栈式自动盆底超声与手动方式获取并测量最小肛提肌裂孔(LH)平面的一致性。

方法

前瞻性选取2020年11月至2021年1月在深圳市第二人民医院进行盆底超声检查的产后6个月内的女性119例为研究对象。应用腹部容积探头经会阴采集患者在静息状态下和最大Valsalva动作下以盆底正中矢状切面为初始切面的三维容积数据,并存储于超声诊断仪中。由2名年轻医师(手动测量年轻医师组)、2名高年资医师(手动测量高年资医师组)分别调取三维容积数据手动获取并测量最小LH平面。由另一名年轻医师(自动测量组)调取三维容积数据利用FSPFU软件一键自动获取并测量最小LH平面,间隔2周后重复测量1次。测量参数为:最小LH的面积、周长、前后径、左右径、左侧肛提肌尿道间隙和右侧肛提肌尿道间隙。记录3组获取并测量最小LH平面所用的时间及测量的结果。采用组间相关系数(ICC)和Bland-Altman图评估3组测量结果的一致性。将3组获得的最小LH轮廓导出,离线计算组间的重合率。

结果

静息状态和Valsalva动作下,均为自动测量组耗时最短[2.67(0.15)s和2.68(0.13)s],与手动测量高年资医师组和年轻医师组相比,组间差异均有统计学意义(P均<0.001)。自动测量组与手动测量年轻医师组、高年资医师组间3个参数测值的一致性均好,静息状态下ICC范围0.795~0.931、Valsalva动作下ICC范围0.871~0.973(P均<0.001)。手动测量组与自动测量组间的最小LH面积、前后径、左右径的Bland-Altman图显示,大部分散点都在95%一致性界限内,表明一致性良好。自动测量组与手动测量组(年轻医师组、高年资医师组)的最小LH轮廓重合率分别为静息状态下:0.937、0.948,Valsalva状态下:0.934、0.945,自动测量组与手动测量高年资医师组间重合率高于与手动测量低年资医师组重合率,差异有统计学意义(P均<0.05)。

结论

FSPFU软件能够在腹部三维容积数据中快速自动获取并测量最小LH平面,与手动测量结果一致性好,且操作简单、节省时间、测量结果可靠,可作为辅助诊断盆底功能障碍性疾病的有效方法。

Objective

To evaluate the consistency of full-stack smart pelvic floor ultrasound (FSPFU) and manual method in obtaining and measuring the minimum levator hiatus (LH) plane.

Methods

From November 2020 to January 2021, 119 women within 6 months after delivery who underwent pelvic floor ultrasound examination at Shenzhen Second People's Hospital were prospectively selected as the research subjects. Using the abdominal volume probe to set the midsagittal plane of pelvic floor as the initial plane, the three-dimensional volume data at rest and during the Valsalva maneuver were acquired and stored in the ultrasonic diagnostic instrument. Two young physicians (young physician manual measurement group) and two senior physicians (senior physician manual measurement group) retrieved the three-dimensional volume data to manually obtain and measure the minimum LH plane. Another young physician (automatic measurement group) retrieved the three-dimensional volume data and used the FSPFU software to automatically obtain and measure the minimum LH plane with one click, and the measurement was repeated once after an interval of 2 weeks. The measurement parameters of the minimum LH include area, circumference, anterioposterior diameter, transverse diameter, left-levator-urethra gap, and right-levator urethral gap. The time and results of obtaining and measuring the minimum LH plane were recorded for each group. The interclass correlation coefficient (ICC) and Bland-Altman plot were used to evaluate the consistency among the three groups. The Dice coefficient of the minimal LH contour outlined by the three groups was calculated.

Results

The automatic measurement group took the shortest time both at rest and during the Valsalva maneuver [2.67 (0.15) s and 2.68 (0.13) s, respectively] compared with the two manual measurement groups (P<0.001). The consistency of the three parameters between the automatic measurement group and the two manual measurement groups was good. The ICC ranged from 0.795-0.931 in the resting state and from 0.871-0.973 during the Valsalva maneuver (P<0.001). The Bland Altman plot also showed good consistency among the groups. The Dice coefficient of the minimal LH outlined contours of the automatic group and the two manual measurement groups (young physician group and senior physician group) were 0.937 and 0.948 in the resting state and 0.934 and 0.945 in the Valsalva state, respectively; the Dice coefficient between the automatic measurement group and the senior physician group was higher than that between the automatic measurement group and the young physician group (P<0.05).

Conclusion

FSPFU can quickly and automatically obtain and measure the minimum LH plane based on the three-dimensional volume data of the abdomen. It is simple to operate, has reliable measurement results, and can be used as an effective and time-saving method to assist in the diagnosis of pelvic floor dysfunction diseases.

图1 标准的盆底正中矢状切面盆底超声图像
图2 肛提肌裂孔(LH)盆底超声图像。图a为静息状态下人工测量;图b为Valsalva动作下人工测量注:1距离为前后径;2距离为左右径;3距离为右侧肛提肌尿道间隙;4距离为左侧肛提肌尿道间隙
图3 肛提肌裂孔(LH)全栈式自动盆底超声(FSPFU)图像。图a为FSPFU软件自动测量静息状态下LH;图b为FSPFU软件自动测量Valsalva动作下LH注:LUG-1为右侧肛提肌尿道间隙;LUG-2为左侧肛提肌尿道间隙
表1 静息状态和Valsalva动作下手动测量与自动测量组间获取并测量最小LH参数的耗时比较[s,MQR)]
表2 不同医师静息状态及Valsalva动作下最小LH相关参数的测量值[MQR)]
表3 各组间静息状态及Valsalva动作下最小LH面积、前后径、左右径测量值的一致性结果
图4 手动测量组与自动测量组肛提肌裂孔参数测量的Bland-Altman图。图a,b分别为静息状态下手动测量年轻医师组、高年资医师组与自动测量组间面积的Bland-Altman图;图c,d分别为静息状态下手动测量年轻医师组、高年资医师组与自动测量组间前后径的Bland-Altman图;图e,f分别为静息状态下手动测量年轻医师组、高年资医师组与自动测量组间左右径的Bland-Altman图;图g,h分别为Valsalva动作下手动测量年轻医师组、高年资医师组与自动测量组间面积的Bland-Altman图;图i,j分别为Valsalva动作下手动测量年轻医师组、高年资医师组与自动测量组间前后径的Bland-Altman图;图k,l分别为Valsalva动作下手动测量年轻医师组、高年资医师组与自动测量组间左右径的Bland-Altman图注:D1为年轻医师组;D2为高年级医师组;D3为自动测量组
表4 自动测量组与手动测量组最小LH轮廓重合率[MQR)]
1
Lawson S, Sacks A. Pelvic floor physical therapy and women’s health promotion[J]. J Midwifery Women Health, 2018, 63(4): 410-417.
2
Dietz HP, Shek C, De Leon J, et al. Ballooning of the levator hiatus[J]. Ultrasound Obstet Gynecol, 2008, 31(6): 676-680.
3
朱霞, 高艳多, 许彩, 等. 盆底三维超声评价产次及分娩方式对肛提肌裂孔面积的影响[J/OL]. 中华医学超声杂志(电子版), 2022, 19(9): 920-925.
4
Majida M, Braekken I, K, et al. Anterior but not posterior compartment prolapse is associated with levator hiatus area: a three- and four-dimensional transperineal ultrasound study[J]. BJOG, 2011, 118(3): 329-337.
5
李清莹, 陈华, 王诗雅, 等. 全栈式自动盆底超声获取并测量最小肛提肌裂孔平面的可行性[J]. 中华超声影像学杂志, 2022, 31(2): 145-150.
6
国家超声医学质量控制中心, 北京市超声医学质量控制和改进中心. 盆底超声检查质量控制专家共识(2022版)[J/OL]. 中华医学超声杂志(电子版), 2022, 19(7): 618-622.
7
AIUM/IUGA practice parameter for the performance of Urogynecological ultrasound examinations Developed in collaboration with the ACR, the AUGS, the AUA, and the SRU[J]. Int Urogynecol J , 2019, 30(9): 1389-1400.
8
胡鹏辉, 王娜, 王毅, 等. 基于全卷积神经网络的肛提肌裂孔智能识别[J]. 深圳大学学报(理工版), 2018, 35(3): 316-323.
9
Sindhwani N, Barbosa D, Alessandrini M, et al. Semi-automatic outlining of levator hiatus[J]. Ultrasound Obstet Gynecol, 2016, 48(1): 98-105.
10
Bahrami S, Khatri G, Sheridan AD, et al. Pelvic floor ultrasound: when, why, and how?[J]. Abdom Radiol, 2019, 46(4): 1395-1413.
11
Tunn R, Albrich S, Beilecke K, et al. Interdisciplinary S2k guideline: sonography in urogynecology: Short version-AWMF registry number: 015/055[J]. Geburtshilfe Frauenheilkd, 2014, 74(12): 1093- 1098.
12
中华医学会超声医学分会妇产超声学组. 盆底超声检查中国专家共识(2022版)[J]. 中华超声影像学杂志, 2022, 31(3): 185-191.
13
Expert Panel on GYN and OB Imaing, Khatri G, Bhosale PR, et al. ACR Appropriateness Criteria® pelvic floor dysfunction in females[J]. J Am Coll Radiol, 2022, 19(5S): S137- S155.
14
Alshiek J, Murad-Regadas SM, Mellgren A, et al. Consensus definitions and interpretation templates for dynamic ultrasound imaging of defecatory pelvic floor disorders : Proceedings of the consensus meeting of the pelvic floor disorders consortium of the american society of colon and rectal surgeons, the society of abdominal radiology, the international continence society, the American urogynecologic society, the international urogynecological association, and the society of gynecologic surgeons[J]. Int Urogynecol J, 2023, 34(3): 603-619.
15
Pelvic organ prolapse: ACOG practice bulletin, Number 214[J]. Obstet Gynecol, 2019, 134(5): e126-e142.
16
中华医学会妇产科学分会妇科盆底学组. 盆腔器官脱垂的中国诊治指南(2020年版)[J]. 中华妇产科杂志, 2020, 55(5): 300-306.
17
中华医学会泌尿外科学分会女性泌尿学组. 盆腔器官脱垂伴压力性尿失禁诊断与治疗中国专家共识[J]. 中华泌尿外科杂志, 2023, 44(6): 401-404.
18
陈小敏, 邓学东. 盆底功能障碍性疾病的诊断研究进展[J/CD]. 中华医学超声杂志(电子版), 2018, 15(12): 37-40.
[1] 李洋, 蔡金玉, 党晓智, 常婉英, 巨艳, 高毅, 宋宏萍. 基于深度学习的乳腺超声应变弹性图像生成模型的应用研究[J/OL]. 中华医学超声杂志(电子版), 2024, 21(06): 563-570.
[2] 杨敬武, 周美君, 陈雨凡, 李素淑, 何燕妮, 崔楠, 刘红梅. 人工智能超声结合品管圈活动对低年资超声医师甲状腺结节风险评估能力的作用[J/OL]. 中华医学超声杂志(电子版), 2024, 21(05): 522-526.
[3] 罗刚, 泮思林, 孙玲玉, 李志新, 陈涛涛, 乔思波, 庞善臣. 一种新型语义网络分析模型对室间隔完整型肺动脉闭锁和危重肺动脉瓣狭窄胎儿右心发育不良程度的评价作用[J/OL]. 中华医学超声杂志(电子版), 2024, 21(04): 377-383.
[4] 明昊, 肖迎聪, 巨艳, 宋宏萍. 乳腺癌风险预测模型的研究现状[J/OL]. 中华乳腺病杂志(电子版), 2024, 18(05): 287-291.
[5] 叶莉, 杜宇. 深度学习在牙髓根尖周病临床诊疗中的应用[J/OL]. 中华口腔医学研究杂志(电子版), 2024, 18(06): 351-356.
[6] 熊鹰, 林敬莱, 白奇, 郭剑明, 王烁. 肾癌自动化病理诊断:AI离临床还有多远?[J/OL]. 中华腔镜泌尿外科杂志(电子版), 2024, 18(06): 535-540.
[7] 李伟, 宋子健, 赖衍成, 周睿, 吴涵, 邓龙昕, 陈锐. 人工智能应用于前列腺癌患者预后预测的研究现状及展望[J/OL]. 中华腔镜泌尿外科杂志(电子版), 2024, 18(06): 541-546.
[8] 黄俊龙, 李文双, 李晓阳, 刘柏隆, 陈逸龙, 丘惠平, 周祥福. 基于盆底彩超的人工智能模型在女性压力性尿失禁分度诊断中的应用[J/OL]. 中华腔镜泌尿外科杂志(电子版), 2024, 18(06): 597-605.
[9] 莫淇舟, 苏劲, 黄健, 李健维, 李思宁, 柳建军. 智能控压输尿管软镜碎石吸引取石术在直径10~25 mm上尿路结石中的应用[J/OL]. 中华腔镜泌尿外科杂志(电子版), 2024, 18(05): 497-502.
[10] 苏博兴, 肖博, 李建兴. 2024年美国泌尿外科学会年会结石领域手术治疗相关热点研究及解读[J/OL]. 中华腔镜泌尿外科杂志(电子版), 2024, 18(04): 303-308.
[11] 李义亮, 苏拉依曼·牙库甫, 麦麦提艾力·麦麦提明, 克力木·阿不都热依木. 机器人与腹腔镜食管裂孔疝修补术联合Nissen 胃底折叠术短期疗效分析[J/OL]. 中华疝和腹壁外科杂志(电子版), 2024, 18(05): 512-517.
[12] 王洪, 王骏华, 范建楠. 人工智能技术在肩袖损伤中的研究进展[J/OL]. 中华肩肘外科电子杂志, 2024, 12(04): 356-361.
[13] 孙铭远, 褚恒, 徐海滨, 张哲. 人工智能应用于多发性肺结节诊断的研究进展[J/OL]. 中华临床医师杂志(电子版), 2024, 18(08): 785-790.
[14] 杨松林, 黄仕豪, 王丽珠, 李禧萌, 邹飞翔, 李坤炜, 梁明柱, 陈炳辉. 良性肺结节生长变化的影像学评价[J/OL]. 中华介入放射学电子杂志, 2024, 12(04): 344-350.
[15] 张玮玮, 霍晓川. 人工智能时代医学生批判性思维培养的重要性[J/OL]. 中华脑血管病杂志(电子版), 2024, 18(04): 357-359.
阅读次数
全文


摘要


AI


AI小编
你好!我是《中华医学电子期刊资源库》AI小编,有什么可以帮您的吗?