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

  • Feng Wang
  • Yuxiang Wang
  • Yan Zhou
  • Congrong Liu
  • Dong Liang
  • Lizhi Xie
  • Zhihang Yao
  • Jianyu LiuEmail author
Research Article



To investigate the potential of apparent diffusion coefficient (ADC) histogram parameters in epithelial ovarian cancer (EOC) for distinguishing different tumor stages and determining lymph node status and correlations between ADC values and p53 and Ki-67 expression.


Forty-nine EOC patients underwent preoperative magnetic resonance imaging. Staging and lymph node status were determined postoperatively. ADC values were measured using histogram analysis and compared between groups. Relationships between ADCs and Ki-67 and p53 expression were explored.


DC parameters differed significantly between stage I vs II, I vs III, and I vs IV. The parameters were significantly lower in the lymph node-positive group than in the lymph node-negative group, were significantly negatively correlated with Ki-67 labeling index, and were all significantly lower in the mutation-type p53 group than in the wild-type p53 group.


ADC histogram analysis can help discriminate stage I from advanced-stage EOC and predict lymph node metastasis. ADC parameters were correlated with Ki-67 labeling index; the parameters may help indicate p53 expression.

Key words

Lymph nodes Magnetic resonance imaging Neoplasm metastasis Neoplasm staging Ovarian cancer 



This study has received funding from the Capital Characteristic Clinic Project of China (Z131107002213049) and the Beijing Municipal Natural Science Foundation (7162102).

Compliance with Ethical Standards

Ethical Approval

All procedures performed in studies involving human participants were conducted in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards.

Conflict of Interest

The authors declare that they have no conflict of interest.


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Copyright information

© World Molecular Imaging Society 2018

Authors and Affiliations

  • Feng Wang
    • 1
  • Yuxiang Wang
    • 2
  • Yan Zhou
    • 1
  • Congrong Liu
    • 2
  • Dong Liang
    • 3
  • Lizhi Xie
    • 4
  • Zhihang Yao
    • 1
  • Jianyu Liu
    • 1
    Email author
  1. 1.Department of RadiologyPeking University Third HospitalBeijingChina
  2. 2.Department of Pathology, School of Basic Medical SciencePeking University Third Hospital, Peking University Health Science CenterBeijingChina
  3. 3.Siemens Ltd., ChinaBeijingChina
  4. 4.GE Healthcare ChinaBeijingChina

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