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Fig. 4 | Breast Cancer Research

Fig. 4

From: Machine learning radiomics of magnetic resonance imaging predicts recurrence-free survival after surgery and correlation of LncRNAs in patients with breast cancer: a multicenter cohort study

Fig. 4

Radiomic feature maps between patients with different therapeutic responses before and after neoadjuvant chemotherapy. Heatmaps of the differential radiomic features between responsive patients and unresponsive patients a before neoadjuvant chemotherapy and b after neoadjuvant chemotherapy. Heatmaps of the differential radiomic features between before neoadjuvant chemotherapy and after neoadjuvant chemotherapy in c responsive patients and d unresponsive patients. Correlation matrix maps of the radiomic features generated from patients with response to the treatment e before neoadjuvant chemotherapy and f after neoadjuvant chemotherapy, and patients with no response to the treatment g before neoadjuvant chemotherapy and h after neoadjuvant chemotherapy. P values were calculated using the unadjusted log-rank test and paired samples t test

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Breast Cancer Research

ISSN: 1465-542X

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