An Analysis of Delta Apparent Diffusion Coefficient Values for Epithelial Ovarian Cancer Classification and Ki-67 Expression
- 1Department of Radiology, Baoding No.1 Central Hospital, Baoding, China.
- 0Department of Radiology, Baoding No.1 Central Hospital, Baoding, China.
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View abstract on PubMed
Summary
This summary is machine-generated.Delta apparent diffusion coefficient (dADC) effectively distinguishes between type I and type II epithelial ovarian cancer (EOC) preoperatively. Higher dADC values correlate with increased tumor cell proliferation, indicated by Ki-67 expression.
Area Of Science
- Oncology
- Radiology
- Medical Imaging
Background
- Epithelial ovarian cancer (EOC) is a prevalent malignancy with high mortality.
- Distinguishing between Type I and Type II EOC is crucial for prognosis and treatment.
- Current diagnostic methods have limitations in preoperative differentiation.
Purpose Of The Study
- To evaluate the diagnostic performance of delta apparent diffusion coefficient (dADC) in differentiating Type I and Type II EOC.
- To investigate the correlation between dADC values and Ki-67 expression as a marker of tumor proliferation.
Main Methods
- Retrospective analysis of 95 EOC patients (September 2021 - August 2023).
- Preoperative MRI with diffusion-weighted imaging (DWI) was performed.
- Calculation of minimum ADC (minADC), maximum ADC (maxADC), and dADC values from tumor components; Ki-67 expression analyzed postoperatively.
Main Results
- Type II EOC showed significantly lower maxADC and minADC, and higher dADC compared to Type I EOC (P<0.05).
- dADC demonstrated superior efficacy in distinguishing between Type I and Type II EOC over minADC and maxADC (P<0.05).
- ROC analysis yielded an AUC of 0.982 for dADC with 95.3% sensitivity and 97.3% specificity at a threshold of 0.31×10-3 mm²/s.
- A positive correlation was observed between dADC and Ki-67 expression.
Conclusions
- dADC is a valuable non-invasive biomarker for accurate preoperative differentiation of Type I and Type II EOC.
- dADC values can potentially reflect the proliferative activity of EOC cells, correlating with Ki-67 expression.
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