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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 Wang1,2, 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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