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.

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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
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article
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article

Application of Radiomics Based on CE-T1WI and DWI in the Diagnosis of Submucosal Uterine Fibroids and Endometrial Carcinoma

Dongxiao Nong, Xiaoyan Deng, Yuhua Guo, Lijun Luo et al.
Open Journal of Medical Imaging
Radiomics and Machine Learning in Medical Imaging
article

Application of Radiomics Based on CE-T1WI and DWI in the Diagnosis of Submucosal Uterine Fibroids and Endometrial Carcinoma

Dongxiao Nong, Xiaoyan Deng, Yuhua Guo, Lijun Luo, Shiwen Luo, N. Long
article en

Abstract

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.

Open Journal of Medical ImagingVol. 15(02)
The Second Nanning People's Hospital (CN), First People's Hospital of Nanning (CN)
Good health and well-being
Openalex Percentile: Top 88%
Radiomics and Machine Learning in Medical Imaging
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