Share：
Share this content in WeChat
X
[Chinese][PDF]84074
• Experience Exchanges •
The value of diffusional kurtosis imaging in differentiating uterine sarcoma from degenerative hysteromyoma
JU Ye  NIE Jian  TIAN Shifeng  LIU Ailian  CHEN Lihua  WEI Qiang 

Cite this article as: Ju Y, Nie J, Tian SF, et al. The value of diffusional kurtosis imaging in differentiating uterine sarcoma from degenerative hysteromyoma[J]. Chin J Magn Reson Imaging, 2021, 12(10): 61-65. DOI:10.12015/issn.1674-8034.2021.10.014.


[Abstract] Objective To compare the value of MR diffusion-kurtosis imaging (DKI) with several parameters in differentiating uterine sarcoma (US) and degenerative hysteromyoma (DH) for providing a valuable method for the differential diagnosis of the two parenchyma tumors of uterus. Materials andMethods The data of 39 patients with 13 cases of US and 26 cases of DH were enrolled in this study and inspected conventional MR (T1WI, T2WI) and DKI-MR examination with 1.5 T MR imager. DKI parameters (MK, Ka, Kr, FAK, MD, Da, Dr and FA) of USs and DHs were measured by using the FuncTool on GE AW4.6 workstation. The MR images were blindly reviewed and analyzed by two observers. The consistency of each parameter measured by the two observers was analyzed, and compared value of parameters. The effectiveness of each parameter value in identifying the two groups were assessed using the receiver operating characteristic (ROC) curve.Results Except for the parameters of Kr and FAK of the US group were in moderate consistency (0.40≤ICC≤0.75), other parameters measured by the 2 observers were showed a good consistency (ICC＞0.75). MK, Ka, Kr, FA, FAK, MD, Da and Dr of US group were 0.86±0.13, 0.92±0.17, 0.78±0.13, 0.20±0.08, 0.30±0.13, (1.18±0.26) μm2/ms, (1.41±0.32) μm2/ms, (1.06±0.25) μm2/ms, respectively. The parameters of the DH group were 0.66±0.09, 0.61±0.08, 0.65±0.09, 0.26±0.08, 0.29±0.09, 1.71 (1.54, 1.89) μm2/ms, 2.17 (2.04, 2.38) μm2/ms, (1.53±0.34) μm2/ms. The MK, Ka and Kr values of US group were higher than those of the DH group, and the FA, MD, Da and Dr values were lower than those of the DH group, with statistically significant differences (P＜0.05). There was no statistical difference in FAK value (P＞0.05). The AUC values of MK, Ka, Kr, FA, MD, Da and Dr were 0.93, 0.99, 0.80, 0.73, 0.94, 0.97 and 0.90. The diagnostic threshold of the parameters were as follows: MK≥0.80, Ka≥0.73, Kr≥0.75, FA≥0.22, MD≤1.47, Da≤1.95, Dr≤1.23. The sensitivity was 76.9%, 100.0%, 61.5%, 76.9%, 92.3%, 100.0%, 76.9%, and the specificity was 100.0%, 96.2%, 88.5%, 73.1%, 92.3%, 84.6%, 88.5%, respectively.Conclusions The MK, Ka, MD, Da and Dr of DKI figure can effectively identify US and DH, and needing to be extension.
[Keywords] uterine sarcoma；degenerative hysteromyoma；magnetic resonance imaging；diffusion kurtosis imaging；differential diagnosis；quantitative parameters

JU Ye1, 2   NIE Jian3   TIAN Shifeng1, 2   LIU Ailian1, 2*   CHEN Lihua1, 2   WEI Qiang1, 2  

1 Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian 116011, China

2 Dalian Engineering Research Center for Artificial Intelligence in Medical Imaging, Dalian 116011, China

3 Dalian Medical University, Dalian 116044, China

Liu AL, E-mail: cjr.liuailian@vip.163.com

Conflicts of interest   None.

Received  2021-04-07
Accepted  2021-07-05
DOI: 10.12015/issn.1674-8034.2021.10.014
Cite this article as: Ju Y, Nie J, Tian SF, et al. The value of diffusional kurtosis imaging in differentiating uterine sarcoma from degenerative hysteromyoma[J]. Chin J Magn Reson Imaging, 2021, 12(10): 61-65. DOI:10.12015/issn.1674-8034.2021.10.014.

[1]
Cho HY, Kim K, Kim YB, et al. Differential diagnosis between uterine sarcoma and leiomyoma using preoperative clinical characteristics[J]. J Obstet Gynaecol Res, 2016, 42(3): 313-318. DOI: 10.1111/jog.12915.
[2]
Nakagawa M, Nakaura T, Namimoto T, et al. Machine Learning to Differentiate T2-Weighted Hyperintense Uterine Leiomyomas from Uterine Sarcomas by Utilizing Multiparametric Magnetic Resonance Quantitative Imaging Features[J]. Acad Radiol, 2019, 26(10): 1390-1399. DOI: 10.1016/j.acra.2018.11.014.
[3]
Petraglia F. Uterine fibroid: from pathogenesis to clinical management[J]. Best Pract Res Clin Obstet Gynaecol, 2016, 34: 1-2. DOI: 10.1016/j.bpobgyn.2016.01.002.
[4]
Xie HH, Zhang XD, Ma S, et al. Preoperative Differentiation of Uterine Sarcoma from Leiomyoma: Comparison of Three Models Based on Different Segmentation Volumes Using Radiomics[J]. Mol Imaging Biol, 2019, 21(6): 1157-1164. DOI: 10.1007/s11307-019-01332-7.
[5]
Xie HH, Hu J, Zhang XD, et al. Preliminary utilization of radiomics in differentiating uterine sarcoma from atypical leiomyoma: Comparison on diagnostic efficacy of MRI features and radiomic features[J]. Eur J Radiol, 2019, 115: 39-45. DOI: 10.1016/j.ejrad.2019.04.004.
[6]
Suzuki A, Aoki M, Miyagawa C, et al. Differential Diagnosis of Uterine Leiomyoma and Uterine Sarcoma using Magnetic Resonance Images: A Literature Review[J]. Healthcare (Basel), 2019, 7(4): 158. DOI: 10.3390/healthcare7040158.
[7]
Peng Y, Tang H, Hu XM, et al. Rectal Cancer Invasiveness: Whole-Lesion Diffusion-Weighted Imaging (DWI) Histogram Analysis by Comparison of Reduced Field-of-View and Conventional DWI Techniques[J]. Sci Rep, 2019, 9(1): 18760. DOI: 10.1038/s41598-019-55059-0.
[8]
Niu M, Liu AL, Zhang QH, et al. The Differential Diagnosis Value of Histogram and Texture Analysis Parameters in Apparent Diffusion Coefficient of Diffusion Weighted Image for Uterine Sarcoma and Degenerative Uterine Fibroids[J]. J Clin Radiol, 2019, 38(10): 1895-1899. DOI: 10.13437/j.cnki.jcr.2019.10.022.
[9]
Niu M, Liu AL, Tian SF, et al. Diffusion tensor imaging to differentiate uterine sarcoma from degenerative uterine fibroids[J]. Radiol Prac, 2018, 33(12): 1290-1294. DOI: 10.13609/j.cnki.1000-0313.2018.12.012.
[10]
Tian SF, Liu AL, Chen AL, et al. Differential Diagnosis of Uterine Sarcoma and Degenerative Hysteromyoma by Using Multiple Quantitative Parameters of Enhanced T2 Star Weighted Angiography[J]. Chin J Med Imaging, 2020, 28(02): 108-111. DOI: 10.3969/j.issn.1005-5185.2020.02.007.
[11]
Wu QL, Lin J, Tang D. Differential diagnostic value of DWI combined with ADC in uterine sarcoma and degenerative uterine fibroids[J]. Chongqing Medicine, 2019, 48(14): 2419-2422. DOI: 10.3969/j.issn.1671-8348.2019.14.019.
[12]
Takeuchi M, Matsuzaki K, Harada M. Carcinosarcoma of the uterus: MRI findings including diffusion-weighted imaging and MR spectroscopy[J]. Acta Radiol, 2016, 57(10): 1277-1284. DOI: 10.1177/0284185115626475.
[13]
Tian SF, Liu AL, Zhu W, et al. The value of multiple quantitative parameters of diffusion kurtosis imaging sequence to evaluate the expression of Ki-67 in endometrial carcinoma: a preliminary study[J]. JOURNAL OF CHINA MEDICAL IMAGING, 2018, 29(11): 808-813. DOI: 10.12117/jccmi.2018.11.010.
[14]
Nie HY, Chen J, Ao YW, et al. A voxel-based diffusion kurtosis imaging study of whole-brain in alcohol dependent patients[J]. Chin J Radiol, 2018, 52(3): 161-165. DOI: 10.3760/cma.j.issn.1005-1201.2018.03.001.
[15]
Jiang YW, Li CM, Liu Y, et al. Histogram analysis in prostate cancer: a comparison of diffusion kurtosis imaging model versus monoexponential model[J]. Acta Radiol, 2020, 61(10): 1431-1440. DOI: 10.1177/0284185120901504.
[16]
Zhu LH, Zhang ZP, Wang FN, et al. Diffusion kurtosis imaging of microstructural changes in brain tissue affected by acute ischemic stroke in different locations[J]. Neural Regen Res, 2019, 14(2): 272-279. DOI: 10.4103/1673-5374.244791.
[17]
Zhu QQ. Value of diffusion kurtosis imaging in assessment of pathological grade of clear cell renal cell carcinoma[J]. China Medical Abstracts (Internal Medicine), 2017, 34(02): 65-66. DOI: 10.3760/cma.j.issn.1005-1201.2017.03.007.
[18]
Wang YQ, Zhang GA, Jia, HB, et al. Value of diffusion peak imaging to differential diagnosis of WHO high-grade gliomas and solitary brain metastases[J]. Chin J Clin Neurosurg, 2019, 24(12): 730-732,776. DOI: 10.13798/j.issn.1009-153X.2019.12.004.
[19]
Tian SF, Liu AL, Song QW, et al. Quantitative Parameter of Diffusion Kurtosis Imaging in Differentiating Uterine Serous Adenocarcinoma from Endometrioid Adenocarcinoma[J]. Chin J Med Imaging, 2018, 26(02): 120-125. DOI: 10.3969/j.issn.1005-5185.2018.02.010.

PREV The value of Gd-EOB-DTPA-enhanced MRI nomogram model in predicting microvascular invasion of small solitary hepatocellular carcinoma
NEXT Clinical study of intravoxel incoherent motion diffusion-weighted imaging and T2 mapping in evaluating the activity of thyroid-associated ophthalmopathy
  


LINK


Tel & Fax: +8610-67113815    E-mail: editor@cjmri.cn