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The value of whole-lesion histogram analysis of MR images in differentiating uterine cellular leiomyoma from degeneration of uterine leiomyoma
FANG Ruqi  DONG Mengya  YANG Qingxia  CHEN Xiaping  WENG Shuping  ZHOU Zuofu 

Cite this article as: Fang RQ, Dong MY, Yang QX, et al. The value of whole-lesion histogram analysis of MR images in differentiating uterine cellular leiomyoma from degeneration of uterine leiomyoma[J]. Chin J Magn Reson Imaging, 2021, 12(11): 66-69, 79. DOI:10.12015/issn.1674-8034.2021.11.014.


[Abstract] Objectives To assess the utility of whole-lesion histogram of multiple MRI sequences for differentiating uterine cellular leiomyoma (UCL) from degeneration of uterine leiomyoma (UL-D).Materials and Methods: Fourty eight patients with UCL and fourty four patients with UL-D from March 2016 to April 2021, who underwent preoperative routine pelvic MRI sequences and diffusion weighted imaging (DWI), were retrospectively evaluated. Two experienced radiologists manually delineated the volume of interest (VOI) by MaZda package in T2 weighted imaging (T2WI) and ADC images, and the values derived from whole-lesion histogram analysis (including mean, variance, skewness, Perc 1%, Perc 10%, Perc 50%, Perc 90%, Perc 99%) were measured for each volume of interest (VOI). The consistency of assessment between the two radiologists was evaluated by using intra-class correlation coefficients (ICC), the MR variables were selected to build Logistic regression model. Receiver operating characteristic (ROC) curve analysis was performed to evaluate the diagnostic performance of single variable and Logistic regression model to differentiate UCL from UL-D.Results The intra-class correlation coefficients between radiologists was 0.844, the features of mean, variance, skewness, Perc 1%, Perc 10%, Perc 50%, Perc 90%, Perc 99% extracted from ADC maps and features of variance, kurtosis, Perc 1% extracted from T2WI images showed statistically significant (P＜0.05). The area under the curve (AUC) were 0.833, 0.677, 0.674, 0.736, 0.777, 0.824, 0.848, 0.822 and 0.705, 0.660, 0.640 for each feature respectively. The T2WI, ADC, T2WI combined ADC Logistic regression models were built to differentiate UCL from UL-D, created AUCs of 0.790, 0.848, 0.881 respectively,with corresponding Youden's index were 0.4830, 0.6250, 0.6288. Pairwise comparison of ROC curves of each model, the P values were 0.3425, 0.0394, 0.2348 for T2WI vs. ADC, (T2WI+ADC) vs. T2WI, (T2WI+ADC) vs. ADC respectively.Conclusions Whole-lesion histogram analysis of T2WI and ADC gray-level images may assist in differentitating between UCL and UL-D patients. The combined model of ADC and T2WI created larger AUC than other models, but was not superior to ADC variables.
[Keywords] uterine leiomyoma；uterine leiomyoma with degeneration；cellular；apparent diffusion coefficient；histogram；magnetic resonance imaging

FANG Ruqi1   DONG Mengya2   YANG Qingxia1   CHEN Xiaping1   WENG Shuping1   ZHOU Zuofu1*  

1 Department of Radiology, Fujian Maternity and Child Health Hospital, Fuzhou 350000, China

2 Department of Radiology, Fujian Provincial Children's Hospital, Fuzhou 350000, China

Zhou ZF, E-mail: fzzzf1968@163.com

Conflicts of interest   None.

致谢： 感谢福州榕城海关综合技术服务中心的曾志昌对本文数据统计分析的设计和审查提供的帮助。
Received  2021-06-05
Accepted  2021-08-19
DOI: 10.12015/issn.1674-8034.2021.11.014
Cite this article as: Fang RQ, Dong MY, Yang QX, et al. The value of whole-lesion histogram analysis of MR images in differentiating uterine cellular leiomyoma from degeneration of uterine leiomyoma[J]. Chin J Magn Reson Imaging, 2021, 12(11): 66-69, 79. DOI:10.12015/issn.1674-8034.2021.11.014.

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