European Radiology: Breast cancer subtype analysis without surgery - quantitative assessment by DCE and DWI MRI

Breast cancer is highly heterogeneous in nature
.

Different cells of origin, as well as genomic and epigenomic alterations, likely contribute to the high intratumoral heterogeneity of breast cancer

Breast cancer is highly heterogeneous in nature

Studies have quantified the kinetic heterogeneity of breast cancer and calculated differences in apparent diffusion coefficients (ADCs) using dynamic contrast-enhanced (DCE) MRI and diffusion-weighted imaging (DWI) in combination with conventional clinical The protocol assessed intratumoral heterogeneity .

Recently, a study published in the journal European Radiology explored whether intratumoral heterogeneity assessed by DCE-MRI with computer-aided diagnosis (CAD) systems and DWI could provide molecular subtype information on invasive breast cancer diagnosis , providing a new basis for the diagnosis of invasive breast cancer.
Clinical preoperative noninvasive assessment provides more valuable imaging support .

This retrospectively evaluated data from 248 patients with invasive breast cancer (mean age ± SD, 54.
6 ± 12.
2 years) who underwent preoperative DCE-MRI and DWI between 2019 and 2020

Of the 248 invasive breast cancers, 61 (24.

 

Panel a Axial contrast - enhanced T1-weighted image shows an irregular, heterogeneously enhancing mass in the right breast .
b Computer-aided diagnosis (CAD) color overlay showing kinetic heterogeneity with tumor .
The red, yellow and blue areas represent washout , plateau and sustained enhancement modes , respectively .
cAutomatic combination from a CAD system showing delayed enhancement contours in breast cancer .
d Axial diffusion - weighted imaging (b value = 1,200 s/mm ² ) shows a mass with high signal intensity .
e A region of interest (green) was manually drawn at the largest cross-sectional area on the apparent diffusion coefficient (ADC) map .
The minimum, maximum and average ADC values ​​were 0.
26×10 ⁻³ , 0.
98×10 ⁻³ and 0.
61×10 ⁻³  mm ² /s , respectively .
The heterogeneity value for ADC was 1.
17 .
The surgical histopathology revealed an invasive ductal carcinoma 1.
5 cm in diameter , histological grade 2, negative for estrogen receptors, negative for progesterone receptors, and negative for human epidermal growth factor receptor 2 (triple-negative breast cancer) .
 

Panel a Axial contrast - enhanced T1-weighted image shows an irregular, heterogeneously enhancing mass in the right breast .

b Computer-aided diagnosis (CAD) color overlay showing kinetic heterogeneity with tumor .
The red, yellow and blue areas represent washout , plateau and sustained enhancement modes , respectively .
c  Automatic combination from a CAD system showing delayed enhancement contours in breast cancer .
d Axial diffusion - weighted imaging (b value = 1,200 s/mm ² ) shows a mass with high signal intensity .
e A region of interest (green) was manually drawn at the largest cross-sectional area on the apparent diffusion coefficient (ADC) map .
The minimum, maximum and average ADC values ​​were 0.
26×10 ⁻³ , 0.
98×10 ⁻³ and 0.
61×10 ⁻³  mm ² /s , respectively .

The present study demonstrates that MRI-based heterogeneity differs significantly among breast cancer subtypes

Original source :

Jin Joo Kim , Jin You Kim , Hie Bum Suh , et al .

Characterization of breast cancer subtypes based on quantitative assessment of intratumoral heterogeneity using dynamic contrast-enhanced and diffusion-weighted magnetic resonance imaging.
DOI: 10.
1007/s00330-021-08166- 4

Jin Joo Kim Jin You Kim Hie Bum Suh ,et al 10.
1007/s00330-021-08166-4 10.
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