Literature DB >> 28295854

Diffusion kurtosis imaging for differentiating borderline from malignant epithelial ovarian tumors: A correlation with Ki-67 expression.

Hai Ming Li1,2, Shu Hui Zhao3, Jin Wei Qiang1, Guo Fu Zhang4, Feng Feng2, Feng Hua Ma4, Yong Ai Li1, Wei Yong Gu5.   

Abstract

PURPOSE: To investigate the use of diffusion kurtosis imaging (DKI) in differentiating borderline from malignant epithelial ovarian tumors (MEOTs) and to correlate DKI parameters with Ki-67 expression.
MATERIALS AND METHODS: Fifty-two consecutive patients with epithelial ovarian tumors (17 borderline epithelial ovarian tumors, BEOTs; 35 MEOTs) were prospectively evaluated using DKI with b values of 0, 500, 1000, 1500, 2000, and 2500 s/mm2 and standard diffusion-weighted imaging (DWI) with b values of 0 and 1000 s/mm2 using a 1.5T magnetic resonance imaging (MRI) unit. The kurtosis (K) and diffusion coefficient (D) from DKI and apparent diffusion coefficient (ADC) from standard DWI were measured, compared, and correlated with Ki-67 expression between the two groups. Statistical analyses were performed using the Mann-Whitney U-test, receiver operating characteristic (ROC) curves, and Spearman's correlation.
RESULTS: The K value was significantly lower in BEOTs than in MEOTs (0.55 ± 0.09 vs. 0.9 ± 0.2), while the D and ADC values were significantly higher in BEOTs than in MEOTs (2.27 ± 0.35 vs. 1.39 ± 0.37 and 1.72 ± 0.36 vs. 1.1 ± 0.25, respectively) (P < 0.001). For differentiating between BEOTs and MEOTs, the sensitivity, specificity, and accuracy were 88.2%, 94.3%, and 92.3% for K value; 88.2%, 91.4%, and 90.4% for D value; and 88.2%, 88.6%, and 88.5% for ADC value, respectively. However, there were no differences in the diagnostic performances among the three parameters above (K vs. ADC, P = 0.203; D vs. ADC, P = 0.148; K vs. D, P = 0.904). The K value was positively correlated with Ki-67 expression (r = 0.699), while the D and ADC values were negatively correlated with Ki-67 expression (r = -0.680, -0.665, respectively).
CONCLUSION: Preliminary findings demonstrate that DKI is an alternative tool for differentiating BEOTs from MEOTs, and is correlated with Ki-67 expression. However, no added value is found for DKI compared with standard DWI. LEVEL OF EVIDENCE: 1 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2017;46:1499-1506.
© 2017 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  borderline; diffusion kurtosis imaging; magnetic resonance imaging; ovarian tumors

Mesh:

Substances:

Year:  2017        PMID: 28295854     DOI: 10.1002/jmri.25696

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  11 in total

1.  Radiomics based on multisequence magnetic resonance imaging for the preoperative prediction of peritoneal metastasis in ovarian cancer.

Authors:  Xiao-Li Song; Jia-Liang Ren; Ting-Yu Yao; Dan Zhao; Jinliang Niu
Journal:  Eur Radiol       Date:  2021-05-04       Impact factor: 5.315

2.  Apparent Diffusion Coefficient Histogram Analysis for Assessing Tumor Staging and Detection of Lymph Node Metastasis in Epithelial Ovarian Cancer: Correlation with p53 and Ki-67 Expression.

Authors:  Feng Wang; Yuxiang Wang; Yan Zhou; Congrong Liu; Dong Liang; Lizhi Xie; Zhihang Yao; Jianyu Liu
Journal:  Mol Imaging Biol       Date:  2019-08       Impact factor: 3.488

3.  Standard diffusion-weighted, diffusion kurtosis and intravoxel incoherent motion MR imaging of sinonasal malignancies: correlations with Ki-67 proliferation status.

Authors:  Zebin Xiao; Yufeng Zhong; Zuohua Tang; Jinwei Qiang; Wen Qian; Rong Wang; Jie Wang; Lingjie Wu; Wenlin Tang; Zhongshuai Zhang
Journal:  Eur Radiol       Date:  2018-01-30       Impact factor: 5.315

4.  Differentiating between malignant and benign renal tumors: do IVIM and diffusion kurtosis imaging perform better than DWI?

Authors:  Yuqin Ding; Qinxuan Tan; Wei Mao; Chenchen Dai; Xiaoyi Hu; Jun Hou; Mengsu Zeng; Jianjun Zhou
Journal:  Eur Radiol       Date:  2019-06-03       Impact factor: 5.315

5.  Whole-tumour diffusion kurtosis MR imaging histogram analysis of rectal adenocarcinoma: Correlation with clinical pathologic prognostic factors.

Authors:  Yanfen Cui; Xiaotang Yang; Xiaosong Du; Zhizheng Zhuo; Lei Xin; Xintao Cheng
Journal:  Eur Radiol       Date:  2017-10-23       Impact factor: 5.315

6.  Associations between apparent diffusion coefficient (ADC) and KI 67 in different tumors: a meta-analysis. Part 1: ADCmean.

Authors:  Alexey Surov; Hans Jonas Meyer; Andreas Wienke
Journal:  Oncotarget       Date:  2017-08-24

7.  Minimal apparent diffusion coefficient value of the solid component to differentiate borderline and malignant ovarian epithelial tumours: a preliminary report.

Authors:  Sahat B R E Matondang; Avrilia Ekawati; Hartono Tjahjadi; Joedo Prihartono
Journal:  Pol J Radiol       Date:  2020-05-13

8.  Diffusion-weighted imaging and diffusion kurtosis imaging for early evaluation of the response to docetaxel in rat epithelial ovarian cancer.

Authors:  Su-Juan Yuan; Tian-Kui Qiao; Jin-Wei Qiang
Journal:  J Transl Med       Date:  2018-12-05       Impact factor: 5.531

9.  Diffusion kurtosis MRI as a predictive biomarker of response to neoadjuvant chemotherapy in high grade serous ovarian cancer.

Authors:  Surrin S Deen; Andrew N Priest; Mary A McLean; Andrew B Gill; Cara Brodie; Robin Crawford; John Latimer; Peter Baldwin; Helena M Earl; Christine Parkinson; Sarah Smith; Charlotte Hodgkin; Ilse Patterson; Helen Addley; Susan Freeman; Penny Moyle; Mercedes Jimenez-Linan; Martin J Graves; Evis Sala; James D Brenton; Ferdia A Gallagher
Journal:  Sci Rep       Date:  2019-07-24       Impact factor: 4.379

10.  Two-dimensional and three-dimensional T2 weighted imaging-based radiomic signatures for the preoperative discrimination of ovarian borderline tumors and malignant tumors.

Authors:  Xuefen Liu; Tianping Wang; Guofu Zhang; Keqin Hua; Hua Jiang; Shaofeng Duan; Jun Jin; He Zhang
Journal:  J Ovarian Res       Date:  2022-02-03       Impact factor: 4.234

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