What type of study is this?

This is a Quantitative Study study.

October 23, 2025BiomedicinesOpen Access

Preoperative Prediction of Axillary Lymph Node Metastasis in Breast Cancer Using Radiomics Features of Voxel-Wise DCE-MRI Time-Intensity-Curve Profile Maps

View Full Paper

Ask AI

Bookmark

Authors

YRYa RenChinese Academy of Medical Sciences & Peking Union Medical College KCK.-J. ChenJiangsu University MWMeng WangChinese Academy of Medical Sciences & Peking Union Medical College

Discussion

Member takes

Implication

This analysis shows radiomics features from DCE-MRI improve prediction of axillary lymph node metastasis in breast cancer, suggesting better preoperative decisions.

Key Points

Type-19-combined model achieved an area under the curve of 0.779, outperforming the phase-3-radiomics model significantly.
Cross-validation confirmed that the type-19-radiomics model had favorable performance with a high F1 score.
Support vector machine was used to construct models based on multiple DCE-MRI derived radiomics features.
Findings support that quantifying hemodynamic heterogeneity enhances prediction of axillary lymph node status.

Cite This Study

Ren et al. (2025) studied this question.

synapsesocial.com/papers/68f9f86eb2c35e10cc4e3bc3 https://doi.org/10.3390/biomedicines13102562

View Full Paper

Ask AI

Bookmark

Implication

This analysis shows radiomics features from DCE-MRI improve prediction of axillary lymph node metastasis in breast cancer, suggesting better preoperative decisions.

Preoperative Prediction of Axillary Lymph Node Metastasis in Breast Cancer Using Radiomics Features of Voxel-Wise DCE-MRI Time-Intensity-Curve Profile Maps

Discussion

Member takes

Implication

Key Points

Cite This Study

Preoperative Prediction of Axillary Lymph Node Metastasis in Breast Cancer Using Radiomics Features of Voxel-Wise DCE-MRI Time-Intensity-Curve Profile Maps

Discussion

Member takes

Implication

Key Points

Cite This Study

Also Consider

Also Consider