Abstract
Objective
To investigate the application value of the ADCdifference value in evaluating the pathological grade of uterine cervical cancer and to analyse the correlations among microvascular density (MVD), vascular endothelial growth factor (VEGF) expression and maximum ADCdifference value.
Methods
Fifty-six patients with uterine cervical cancer were included in this prospective study. All underwent conventional MRI and DWI. MVD and VEGF were evaluated by immunohistochemical staining with anti-CD34 and anti-VEGF, respectively.
Results
Maximum ADCdifference value and MVD count showed statistical differences among different pathological grades (P < 0.001, P < 0.001). There was a significant positive linear correlation between the maximum ADCdifference value and pathological tumour grade (P < 0.001), and also between MVD count and pathological tumour grade (P < 0.001). No significant differences were found between the level of VEGF expression and pathological tumour grade (P = 0.222). The maximum ADCdifference value correlated positively with both the MVD count and the level of VEGF expression (P < 0.001, P < 0.001).
Conclusions
Quantitative analysis of maximum ADCdifference value of uterine cervical cancer may represent the grade of tumour differentiation and provide valuable information on tumour microcirculation and perfusion, thus allowing a promising new method of non-invasively assessing the pathological grade, which could serve as a substitution for assessing tumour angiogenesis.
Key Points
• Diffusion-weighted magnetic resonance imaging offers numerous new parameters concerning cervical cancer.
• Relationships between ADC difference values and grades of tumour differentiation are examined.
• Quantitative analysis may provide valuable information on tumour microcirculation and perfusion.
• The maximum ADC difference value could serve as a substitute for assessing tumour angiogenesis.
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Abbreviations
- MVD:
-
microvascular density
- VEGF:
-
vascular endothelial growth factor
- DWI:
-
diffusion-weighted MR Imaging
- ASSET:
-
array spatial sensitivity encoding technique
- ADC:
-
apparent diffusion coefficient
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Liu, Y., Ye, Z., Sun, H. et al. Grading of uterine cervical cancer by using the ADC difference value and its correlation with microvascular density and vascular endothelial growth factor. Eur Radiol 23, 757–765 (2013). https://doi.org/10.1007/s00330-012-2657-1
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DOI: https://doi.org/10.1007/s00330-012-2657-1