Abstract
Objectives: To evaluate the ability of MRI in predicting histological grade of endometrial cancer (EC). Methods: IRB-approved retrospective study; requirement for informed consent was waived. 90 patients with histologically proven EC who underwent preoperative MRI and surgery at our Institution between Sept2011 and Nov2016 were included. Myometrial invasion (50%) was assessed. Neoplasm and uterus volumes were estimated according to the ellipsoid formula; neoplasm/uterus volume ratio (N/U) was calculated. ADC maps were generated and histogram analysis was performed using commercially available software. MRI parameters were compared with the definitive histological grade (G1 = 28 patients, G2 = 29, G3 = 33) using ANOVA and Tukey-Kramer tests. Results: Deep myometrial invasion was significantly more frequent in G2-G3 lesions than in G1 ones (p < 0,005). N/U ratio was significantly higher for high-grade neoplasms (mean 0,08 for G1, 0,16 for G2 and 0,21 in G3; P = 0,002 for G1 vs. G2-G3); a cut off value of 0,13 enabled to distinguish G1 from G2-G3 lesions with 50% sensibility and 89% specificity. ADC values didn't show any statistically significant correlation with tumour grade. Conclusions: N/U ratio >0.13 and deep myometrial invasion are significantly correlated with high grade EC, whereas ADC values are not useful for predicting EC grade.
| Original language | English |
|---|---|
| Pages (from-to) | 44-50 |
| Number of pages | 7 |
| Journal | European Journal of Radiology |
| Volume | 103 |
| Issue number | 2018 |
| DOIs | |
| Publication status | Published - 2018 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
All Science Journal Classification (ASJC) codes
- Radiology Nuclear Medicine and imaging
Keywords
- 80 and over
- Adult
- Aged
- Diffusion magnetic resonance imaging
- Endometrial Neoplasms
- Endometrial neoplasms
- Endometrium
- Female
- Humans
- Magnetic Resonance Imaging
- Magnetic resonance imaging
- Middle Aged
- Neoplasm Grading
- Neoplasm grading
- Nuclear Medicine and Imaging
- Radiology
- Retrospective Studies
- Sensitivity and Specificity
- Uterus
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