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• Clinical Article •
The value of ADC texture analysis in differential diagnosis of ovarian epithelial tumors
SUN Bixia  ZHU Dalin  ZHANG Xuxia  QIAN Jifang  LI Yunzhi  ZHANG Yanhui  XU Shengfang 

Cite this article as: SUN B X, ZHU D L, ZHANG X X, et al. The value of ADC texture analysis in differential diagnosis of ovarian epithelial tumors[J]. Chin J Magn Reson Imaging, 2023, 14(2): 83-86, 108. DOI:10.12015/issn.1674-8034.2023.02.014.


[Abstract] Objective To explore the role of whole-lesion histogram analysis of apparent diffusion coefficient (ADC) in differentiating benign, borderline and malignant ovarian epithelial tumors.Materials and Methods A retrospective analysis of 71 patients with ovarian epithelial tumors confirmed by postoperative pathology in Gansu Maternal and Child Health Hospital from January 2019 to September 2022, and patients who underwent routine MRI examination in our hospital before operation, introduced ADC sequence into Fire Voxel software and manually sketched the whole region of interest (ROI) of the lesion, and the software automatically generated histogram texture parameters (entropy, skewness, kurtosis, standard deviation, maximum, minimum, average). Single factor analysis of variance was used to evaluate the difference of texture parameters of ADC map among benign, borderline and malignant ovarian epithelial tumors. The receiver operating characteristic (ROC) curve and the area under the curve (AUC) were used to evaluate the diagnostic efficacy of each parameter in the differential diagnosis of benign, borderline and malignant ovarian epithelial tumors.Results In the texture parameters of ADC map, there were significant differences in entropy, skewness, kurtosis, maximum, minimum and average among benign, borderline and malignant ovarian epithelial tumors (P＜0.001, 0.003,＜0.001, 0.007, 0.005, 0.001). The result of ROC curve shows that the maximum value of AUC is entropy (AUC=0.75).Conclusions The application of ADC texture analysis of whole tumor can improve the value of differential diagnosis of benign, borderline and malignant ovarian epithelial tumors, especially the differential diagnosis of borderline and malignant tumors, and provide clinical diagnosis basis and guide clinical treatment.
[Keywords] ovarian epithelial tumor；magnetic resonance imaging；apparent diffusion coefficient；diffusion weighted imaging；texture analysis；differential diagnosis

SUN Bixia   ZHU Dalin   ZHANG Xuxia   QIAN Jifang*   LI Yunzhi   ZHANG Yanhui   XU Shengfang  

Medical Imaging Center, Gansu Provincial Matemity and Child-care Hospital, Lanzhou 730050, China

*Correspondence to: Qian JF, E-mail: 495248996@qq.com

Conflicts of interest   None.

ACKNOWLEDGMENTS Health Industry Scientific Research Project of Gansu Province (No. GSWSKY2021-059).
Received  2022-06-29
Accepted  2023-01-17
DOI: 10.12015/issn.1674-8034.2023.02.014
Cite this article as: SUN B X, ZHU D L, ZHANG X X, et al. The value of ADC texture analysis in differential diagnosis of ovarian epithelial tumors[J]. Chin J Magn Reson Imaging, 2023, 14(2): 83-86, 108. DOI:10.12015/issn.1674-8034.2023.02.014.

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