Abstract #4870

Preoperative prediction of pelvic lymph nodes metastasis in early-stage cervical cancer using radiomics model based on T2-weighted and diffusion-weighted MRI

Tao Wang^1,2, Tingting Gao³, Liyu Huang³, and Ming Zhang²

¹Department of Radiology, Shaanxi Provincial People's Hospital, xi'an, China, ²Department of Medical Imaging, First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China, ³School of Life Science and Technology, Xidian University, Xi’an, China

1. A radiomics nomogram for preoperatively predicting of PLN metastasis in patients with ECC was developed and validated.

2. The model displayed good performance (C-index=0.893 in primary cohort and C-index=0.922 in validation cohort).

3. The radiomics nomogram showed a significant improvement over the clinical nomogram in predicting PLN metastasis.

4. The radiomics signature derived from the combined T2WI and DWI has the best performance.

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