Application of Radiomics Based on CE-T1WI and DWI in the Diagnosis of Submucosal Uterine Fibroids and Endometrial Carcinoma
Objective: To explore the application value of radiomics based on CE-T1WI and DWI in the diagnosis of submucosal uterine fibroids and endometrial carcinoma. Methods: A total of 33 patients with pathologically confirmed endometrial carcinoma and 30 patients with submucosal uterine fibroids were selected. Their CE-T1WI and DWI imaging data were collected, and radiomics features such as arterial phase enhancement, venous phase enhancement, diffusion restriction, ADC values, and time-signal curve types were analyzed. Results: In the arterial phase, the number of cases with enhancement lower than the myometrium was significantly higher in the endometrial carcinoma group than in the submucosal fibroid group (χ2 = 22.4509, P = 0.0000), while the number of cases with slightly higher enhancement showed a statistically significant difference (χ2 = 13.1146, P = 0.0003). In the venous phase, the number of cases with enhancement higher than the myometrium was lower in the endometrial carcinoma group than in the submucosal fibroid group (χ2 = 5.1583, P = 0.0231). Regarding diffusion restriction, the number of cases with restricted diffusion was significantly higher in the endometrial carcinoma group (χ2 = 37.6794, P = 0.0000). Among cases with ADC values recorded, the ADC value in the endometrial carcinoma group (0.71 ± 0.22) was significantly lower than that in the submucosal fibroid group (1.34 ± 0.28) (χ2 = 7.1828, P = 0.0000). No significant difference was observed in the time-signal curve types between the two groups (χ2 = 0.6969, P = 0.4107). Conclusion: Radiomics features based on CE-T1WI and DWI have significant value in the diagnosis of submucosal uterine fibroids and endometrial carcinoma, providing a reliable basis for clinical diagnosis.
Authors
- Dongxiao Nong
- Xiaoyan Deng (ORCID: https://orcid.org/0000-0003-0186-8234)
- Yuhua Guo
- Lijun Luo (ORCID: https://orcid.org/0000-0002-0911-0279)
- Shiwen Luo
- N. Long
Institutions
- The Second Nanning People's Hospital (CN)
- First People's Hospital of Nanning (CN)
Publication Details
- Journal
- Open Journal of Medical Imaging
- Published
- 2025-01-01
- DOI
- https://doi.org/10.4236/ojmi.2025.152004
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00