Aims and objectives
Cervical cancer is the third most commonly diagnosed cancer and the fourth leading cause of cancer death in females worldwide (1).
Due to its excellent soft tissue contrast,
magnetic resonance imaging (MRI) has been established as the best imaging modality for staging of cervical cancers (2).
Thus it is widely clinically used for local tumor staging for this entity.
Nowadays,
radiological images can further be investigated quantitatively by advanced imaging analyses.
One of these techniques is a histogram based approach (3).
This method includes every...
Methods and materials
Patients
Overall,
18 female patients (age range 32-79 years; mean age 55.4 years) with histopathological confirmed squamous cell cervical carcinoma were enrolled into the study.
MRI
In all cases,
pelvic MRI was performed.
Our investigation protocol included the fllowing sequences: an axial T2 weighted (T2w) turbo spin echo (TSE) sequence (TR/TE: 5590/105),
a sagittal T2w TSE sequence (TR/TE: 4110/131),
an axial T1 weighted (T1w) TSE sequence (TR/TE:1310/12),
an axial T1 TSE sequence after intravenous application of contrast medium (0.1 mmol/kg body weight Gadobutrol,
Bayer Healthcare,...
Results
Correlation analysis
An overview about the Spearman's correlation analysis with Benjamini-Hochberg correction is given by figure 7.
Several pre- and postcontrast derived t1-weighted parameters correlated inversely with EGFR expression.
For precontrast t1- weighted images,
the strongest correlation was found for p90 (ρ=-0.77,
p=0.004).
For postcontrast t1 weighted images,
the strongest correlation was observed for minimum (ρ=-0.64,
p=0.021) (figure 8).
For t2 weighted images,
mean,
p25,
p75,
p90 and median correlated with EGFR expression.
No statistically significant correlations were identified between histogram analysis parameters and cell...
Conclusion
The purpose of this study was to elucidate possible associations between histogram analysis derived from morphological MRI sequences and histopathological features in uterine squamous cell carcinomas.
Overall,
thepresent study showed that histogram analysis can provide crucial information for tumor characterizing.
Histogram analysis parameters of T1w and T2w images reflect Her2-status and EGFR expression in cervical cancer butcannot predict cell count,
proliferation index or angiogenesis related histopathological features.
Personal information
Hans-Jonas Meyer,
MD
Department of Diagnostic and Interventional Radiology
University of Leipzig
Liebigstraße 20
04103 Leipzig
Germany
e-mail:
[email protected]
telephone: +49341/9717400
References
Jemal A,
Bray F,
Center MM,
et al.
Global cancer statistics.
CA Cancer J Clin 2011; 61:69–90.
Sala E,
Wakely S,
Senior E,
et al.
MRI of malignant neoplasms of the uterine corpus and cervix.
AJR Am J Roentgenol 2007; 188:1577–1587.
Just N.
Improving tumour heterogeneity MRI assessment with histograms.
Br J Cancer 2014; 111:2205-2213.