Diffusion-tensor imaging for differentiating uterine sarcoma from degenerative uterine fibroids

Area of Science:

• Radiology
• Oncology
• Medical Imaging

Background:

• Uterine sarcoma (USr) and degenerative uterine fibroids (DUF) can present similar imaging characteristics, posing diagnostic challenges.
• Accurate differentiation is crucial for appropriate patient management and treatment planning.

Purpose of the Study:

• To evaluate the efficacy of diffusion-tensor imaging (DTI) quantitative parameters in distinguishing between uterine sarcoma and degenerative uterine fibroids.
• To compare the diagnostic performance of apparent diffusion coefficient (ADC), DTI-derived ADC (ADC^T), and fractional anisotropy (FA) values.

Main Methods:

• Retrospective analysis of 14 USr and 30 DUF cases.
• Image analysis using diffusion-weighted imaging (DWI) and DTI sequences to generate ADC, ADC^T, and FA maps.
• Quantitative analysis of ADC, ADC^T, and FA values within defined regions of interest.
• Receiver operating characteristic (ROC) curve analysis to assess diagnostic performance.

Main Results:

• Significantly lower ADC, ADC^T, and FA values were observed in USr compared to DUF (p<0.001).
• Optimal diagnostic thresholds were identified: ADC ≤1.290 × 10^-3mm²/s, ADC^T ≤1.322 × 10^-9mm²/s, and FA ≤0.192.
• ADC^T showed the highest area under the curve (AUC) of 0.974, with a sensitivity of 96.7% and specificity of 92.9%.

Conclusions:

• DTI quantitative parameters are valuable tools for differentiating uterine sarcoma from degenerative uterine fibroids.
• The ADC^T value exhibits superior diagnostic efficacy compared to ADC and FA in this differentiation.