ADC Values and Tumor-Stroma Ratio in Cervical Cancer
Author Information
Author(s): Alexey Surov, Jan Borggrefe, Anne-Kathrin Höhn, Hans-Jonas Meyer
Primary Institution: Johannes-Wesling-Klinikum Minden, Ruhr-University Bochum
Hypothesis
The study investigates the association between ADC values and histopathological features in uterine cervical cancer.
Conclusion
ADC values are strongly associated with tumor-stroma ratio and can predict tumors with high stroma in a non-invasive manner.
Supporting Evidence
- ADC histogram parameters correlated strongly with tumor-stroma ratio.
- The highest correlation coefficient achieved p10 (r = -0.81, p < 0.0001).
- ADCmean can predict tumors with high TSR with a sensitivity of 0.91.
- Interreader agreement was high, ranging from ICC = 0.71 to ICC = 0.96.
- Associations between ADC values and histopathology depend on tumor grading.
Takeaway
This study found that certain measurements from MRI can help predict how much stroma is in cervical cancer tumors, which can be important for understanding the cancer's behavior.
Methodology
The study used prebiopsy MRI to analyze ADC parameters and correlated them with histopathological features.
Potential Biases
Potential selection bias due to the single-center design and retrospective nature.
Limitations
The study is retrospective, has a single-center design, and only includes squamous cell carcinomas.
Participant Demographics
70 female patients aged 32–79 years, mean age 55.4 years.
Statistical Information
P-Value
p<0.0001
Confidence Interval
95% CI 0.77;0.96
Statistical Significance
p<0.0001
Digital Object Identifier (DOI)
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