Abstract
Objectives
To investigate the tissue characteristics of cervical cancer based on the intravoxel incoherent motion (IVIM) model and to assess the IVIM parameters in tissue differentiation in the female pelvis.
Methods
Sixteen treatment-naïve cervical cancer and 17 age-matched healthy subjects were prospectively recruited for diffusion-weighted (b = 0–1,000 s/mm2) and standard pelvic MRI. Bi-exponential analysis was performed to derive the perfusion parameters f (perfusion fraction) and D* (pseudodiffusion coefficient) as well as the diffusion parameter D (true molecular diffusion coefficient) in cervical cancer (n = 16), normal cervix (n = 17), myometrium (n = 33) and leiomyoma (n = 14). Apparent diffusion coefficient (ADC) was calculated. Kruskal–Wallis test and receiver operating characteristics (ROC) curves were used.
Results
Cervical cancer had the lowest f (14.9 ± 2.6 %) and was significantly different from normal cervix and leiomyoma (p < 0.05). The D (0.86 ± 0.16 x 10-3 mm2/s) was lowest in cervical cancer and was significantly different from normal cervix and myometrium (p < 0.05) but not leiomyoma. No difference was observed in D*. D was consistently lower than ADC in all tissues. ROC curves indicated that f < 16.38 %, D < 1.04 × 10-3 mm2/s and ADC < 1.13 × 10-3 mm2/s could differentiate cervical cancer from non-malignant tissues (AUC 0.773–0.908).
Conclusions
Cervical cancer has low perfusion and diffusion IVIM characteristics with promising potential for tissue differentiation.
Key Points
• Diffusion-weighted MRI is increasingly applied in evaluation of cervical cancer.
• Cervical cancer has distinctive perfusion and diffusion characteristics.
• Intravoxel incoherent motion characteristics can differentiate cervical cancer from non-malignant uterine tissues.
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Abbreviations
- ADC:
-
apparent diffusion coefficient
- AUC:
-
area under the curve
- D:
-
pure molecular diffusion
- D*:
-
pseudo-diffusion coefficient
- DCE:
-
dynamic contrast-enhanced
- DW:
-
diffusion-weighted
- f :
-
perfusion fraction
- FIGO:
-
International Federation of Gynecology and Obstetrics
- IVIM:
-
intravoxel incoherent motion
- ROC:
-
receiver operating characteristics
- ROI:
-
region of interest
- SD:
-
standard deviation
- SENSE:
-
sensitivity encoding
- SNR:
-
signal-to-noise ratio
- TR/TE:
-
repetition time/echo time
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Acknowledgments
We wish to express our gratitude to the gynaecologists and oncologists at the Queen Mary Hospital and the Pamela Youde Nethersole Eastern Hospital in their support of this study.
The scientific guarantor of this publication is Prof. Pek-Lan Khong. The authors of this manuscript declare relationships with the following companies: Dr. Q Chan is currently employed by Philips Medical Systems. This study has received funding by the Small Project Fund from The University of Hong Kong, project no. 201209176082. No complex statistical methods were necessary for this paper. Institutional review board approval was obtained. Written informed consent was obtained from all subjects (patients) in this study. Methodology: prospective, case-control study, performed at one institution.
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Lee, E.Y.P., Yu, X., Chu, M.M.Y. et al. Perfusion and diffusion characteristics of cervical cancer based on intraxovel incoherent motion MR imaging-a pilot study. Eur Radiol 24, 1506–1513 (2014). https://doi.org/10.1007/s00330-014-3160-7
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DOI: https://doi.org/10.1007/s00330-014-3160-7