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Abdominal Radiology

, Volume 43, Issue 11, pp 3132–3141 | Cite as

Quantitative dynamic contrast-enhanced MR imaging for differentiating benign, borderline, and malignant ovarian tumors

  • Hai-ming Li
  • Feng Feng
  • Jin-wei Qiang
  • Guo-fu Zhang
  • Shu-hui Zhao
  • Feng-hua Ma
  • Yong-ai Li
  • Wei-yong Gu
Article

Abstract

Purpose

This study aimed to investigate the diagnostic performance of quantitative DCE-MRI for characterizing ovarian tumors.

Methods

We prospectively assessed the differences of quantitative DCE-MRI parameters (Ktrans, kep, and ve) among 15 benign, 28 borderline, and 66 malignant ovarian tumors; and between type I (n = 28) and type II (n = 29) of epithelial ovarian carcinomas (EOCs). DCE-MRI data were analyzed using whole solid tumor volume region of interest (ROI) method, and quantitative parameters were calculated based on a modified Tofts model. The non-parametric Kruskal–Wallis test, Mann–Whitney U test, Pearson’s chi-square test, intraclass correlation coefficient (ICC), variance test, and receiver operating characteristic curves (ROC) were used for statistical analysis.

Results

The largest Ktrans and kep values were observed in ovarian malignant tumors, followed by borderline and benign tumors (all P < 0.001). Kep was the better parameter for differentiating benign tumors from borderline and malignant tumors, with a sensitivity of 89.3% and 95.5%, a specificity of 86.7% and 100%, an accuracy of 88.4% and 96.3%, and an area under the curve (AUC) of 0.94 and 0.992, respectively, whereas Ktrans was better for differentiating borderline from malignant tumors with a sensitivity of 60.7%, a specificity of 78.8%, an accuracy of 73.4%, and an AUC of 0.743. In addition, a combination with kep could further improve the sensitivity to 78.9%. The median Ktrans and kep values were significantly higher in type II than in type I EOCs.

Conclusion

DCE-MRI with volume quantification is a technically feasible method, and can be used for the differentiation of ovarian tumors and for discriminating between type I and type II EOCs.

Keywords

Ovary Benign tumor Borderline tumor Malignant tumor Dynamic contrast-enhanced MR imaging 

Notes

Compliance with ethical standards

Funding

This study was funded by National Natural Science Foundation of China (Nos. 81471628 and 81501439), Nantong Municipal Commission of Health and Family Planning Science Foundation for Youth (No. WQ2016065), and Shanghai Municipal Commission of Health and Family Planning (Nos. 2013ZYJB0201, 2013SY075, and ZK2015A05).

Conflicts of interest

The authors declare that they have no conflict of interest.

Ethical approval

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

Informed consent

Informed consent was obtained from all individual participants included in the study.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  • Hai-ming Li
    • 1
    • 2
  • Feng Feng
    • 2
  • Jin-wei Qiang
    • 1
  • Guo-fu Zhang
    • 3
  • Shu-hui Zhao
    • 4
  • Feng-hua Ma
    • 3
  • Yong-ai Li
    • 1
  • Wei-yong Gu
    • 5
  1. 1.Department of Radiology, Jinshan HospitalFudan UniversityShanghaiChina
  2. 2.Department of Radiology, Nantong Cancer HospitalNantong UniversityNantongChina
  3. 3.Department of Radiology, Obstetrics & Gynecology HospitalFudan UniversityShanghaiChina
  4. 4.Department of Radiology, Xinhua HospitalShanghai Jiao Tong UniversityShanghaiChina
  5. 5.Department of Pathology, Obstetrics & Gynecology HospitalFudan UniversityShanghaiChina

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