a State Key Laboratory of Ultrasound Engineering in Medicine Co-founded by Chongqing and the Ministry of Science and Technology , Chongqing Key Laboratory of Ultrasound in Medicine and Engineering, College of Biomedical Engineering, Chongqing Medical University , Chongqing , PR China.
Int J Hyperthermia. 2018 Feb;34(1):77-86. doi: 10.1080/02656736.2017.1325015. Epub 2017 May 19.
To establish a scoring system that predicts the difficulty level of high-intensity focussed ultrasound (HIFU) ablation of uterine fibroids.
Four hundred and twenty-two patients with fibroids were enrolled. The energy efficiency factor (EEF) and sonication time were set as dependent variables, with factors possibly affecting EEF and sonication time including age, body mass index (BMI), the volume of fibroids, the location of the uterus, the type of fibroids, the signal intensity on the T2-weighted imaging (T2WI), the enhancement type, the thickness of the rectus abdominis and the subcutaneous fat layer, the distance from the anterior/posterior surface of the fibroid to the skin, and the abdominal wall scars were set as predictors for building optimal scaling regression models.
The volume of the fibroids, the location of the uterus, the signal intensity on T2WI, enhancement type, rectus abdominis thickness, subcutaneous fat thickness, and distance from the anterior surface of fibroid to the skin were related to EEF. Signal intensity on T2WI, the volume of fibroids, distance from the posterior surface of fibroid to the skin, and enhancement type were related to sonication time. Models that can predict the difficulty level of HIFU for fibroids have been established: for EEF, y ' = 0.338X ' - 0.231X '+0.156X '+0.167X ' ; for sonication time, y = 0.227X+0.321X+0.157X+0.194X.
A scoring system for predicting the difficulty level of HIFU treatment for uterine fibroids has been established and it can be used to help select patients and to predict the sonication time for a given fibroid.
建立一种评分系统,以预测高强度聚焦超声(HIFU)消融子宫肌瘤的难度水平。
纳入 422 例子宫肌瘤患者。将能量效率因子(EEF)和超声时间作为因变量,将可能影响 EEF 和超声时间的因素,包括年龄、体重指数(BMI)、肌瘤体积、子宫位置、肌瘤类型、T2 加权成像(T2WI)上的信号强度、增强类型、腹直肌厚度、皮下脂肪层厚度、肌瘤前/后表面与皮肤的距离以及腹壁疤痕作为预测因素,建立最优比例回归模型。
肌瘤体积、子宫位置、T2WI 上的信号强度、增强类型、腹直肌厚度、皮下脂肪厚度和肌瘤前表面与皮肤的距离与 EEF 相关。T2WI 上的信号强度、肌瘤体积、肌瘤后表面与皮肤的距离和增强类型与超声时间相关。已经建立了预测子宫肌瘤 HIFU 难度水平的模型:对于 EEF,y'=0.338X'-0.231X''+0.156X''+0.167X' ';对于超声时间,y=0.227X+0.321X+0.157X+0.194X。
建立了预测子宫肌瘤 HIFU 治疗难度水平的评分系统,可用于帮助选择患者并预测给定肌瘤的超声时间。