Development and Validation of Histological Grade and Lymph Node Burden Prediction Models for Non-Specific Invasive Breast Cancer Based on Apparent Diffusion Coefficient Radiomics
收藏DataCite Commons2025-10-21 更新2026-02-09 收录
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https://figshare.com/articles/dataset/Development_and_Validation_of_Histological_Grade_and_Lymph_Node_Burden_Prediction_Models_for_Non-Specific_Invasive_Breast_Cancer_Based_on_Apparent_Diffusion_Coefficient_Radiomics/30406756/1
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A retrospective analysis was conducted on patients with non-specific invasive breast cancer who underwent breast MRI examination and surgical treatment at Zhejiang Cancer Hospital and Haining People's Hospital from 2022 to 2024. The ADC maps of each patient were subjected to whole-tumor segmentation followed by feature extraction. Correlation tests and Lasso regression were used to screen out the radiomic features most relevant to histological grade and lymph node burden, and models for predicting histological grade and lymph node burden were constructed.
提供机构：
figshare
创建时间：
2025-10-21
