Skip to main content
Fig. 4 | Breast Cancer Research

Fig. 4

From: Early prediction of neoadjuvant therapy response in breast cancer using MRI-based neural networks: data from the ACRIN 6698 trial and a prospective Chinese cohort

Fig. 4

(a) The importance ranking of the top 30 features in the MESN. (b-g) The original T1, DW, ADC and corresponding top three radiomics feature maps for patients with pCR (b, d, f) and non-pCR (c, e, g) who had the same tumor stage, NAT regimen and the similar age. The differences of raw data were not apparent to the naked eye. The MESN model recognized the subtle differences: peritumoral logarithm_ngtdm_Contrast and wavelet-LLL_glszm_LowGrayLevelZoneEmphasis on T1 images after early-NAT in pCR patients is lower than in non-pCR patients, whereas logarithm_firstorder_Minimum is higher. The color bar on the right refers to the image intensity value of the radiomics feature map, with red representing high values and blue representing low values

Abbreviations: MESN = MRI-based enhanced self-attention network; pCR = pathological complete response; NAT = neoadjuvant therapy; T1 = T1-weighted dynamic contrast-enhanced MRI; DW = diffusion weighted imaging; ADC = apparent diffusion coefficient; HR = hormone receptor; HER2 = human epidermal growth factor receptor-2

Back to article page

Breast Cancer Research

ISSN: 1465-542X

Contact us