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Non-invasive staging of endometrial fibrosis using diffusion-weighted imaging: a feasibility study
Nan Zhou1, Peipei Jiang2, Yucan Chen1
1Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu Province, China.
Diffusion-weighted imaging (DWI) effectively stages endometrial fibrosis by analyzing apparent diffusion coefficient (ADC) values. This non-invasive technique accurately differentiates fibrosis severity, aiding clinical assessment.
Area of Science:
- Radiology
- Medical Imaging
- Gynecology
Background:
- Endometrial fibrosis impacts female reproductive health.
- Accurate staging of fibrosis is crucial for effective management.
- Current staging methods may have limitations.
Purpose of the Study:
- To evaluate the efficacy of diffusion-weighted imaging (DWI) in staging endometrial fibrosis.
- To determine if DWI parameters can differentiate between healthy endometrium and varying degrees of fibrosis.
Main Methods:
- Prospective study involving 41 healthy women, 30 with mild to moderate endometrial fibrosis (MMEF), and 102 with severe endometrial fibrosis (SEF).
- Measurement of endometrial thickness and DWI-derived apparent diffusion coefficient (ADC) parameters (mean intensity and standard deviation) using region of interest (ROI) and volume of interest (VOI).
Main Results:
- Significant differences in endometrial thickness and ADC values (ADCVOI, ADCROI) were observed across healthy, MMEF, and SEF groups (all P < 0.001).
- Higher standard deviations of ADC values (ADC-SDVOI, ADC-SDROI) were noted in SEF patients compared to healthy and MMEF groups (all P < 0.001).
- DWI parameters showed excellent accuracy (AUC > 0.800) in distinguishing between normal endometrium and different fibrosis stages, outperforming endometrial thickness measurements.
Conclusions:
- DWI is a highly effective tool for staging endometrial fibrosis.
- DWI accurately reflects microstructural changes associated with endometrial fibrosis.
- This imaging modality offers a promising approach for non-invasive fibrosis staging.
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