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Published in: Insights into Imaging 1/2023

Open Access 01-12-2023 | Breast Cancer | Original Article

Correlation between synthetic MRI relaxometry and apparent diffusion coefficient in breast cancer subtypes with different neoadjuvant therapy response

Authors: Wenhong Jiang, Siyao Du, Si Gao, Lizhi Xie, Zichuan Xie, Mengfan Wang, Can Peng, Jing Shi, Lina Zhang

Published in: Insights into Imaging | Issue 1/2023

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Abstract

Background

To evaluate the correlation between synthetic MRI (syMRI) relaxometry and apparent diffusion coefficient (ADC) maps in different breast cancer subtypes and treatment response subgroups.

Methods

Two hundred sixty-three neoadjuvant therapy (NAT)-treated breast cancer patients with baseline MRI were enrolled. Tumor annotations were obtained by drawing regions of interest (ROIs) along the lesion on T1/T2/PD and ADC maps respectively. Histogram features from T1/T2/PD and ADC maps were respectively calculated, and the correlation between each pair of identical features was analyzed. Meanwhile, features between different NAT treatment response groups were compared, and their discriminatory power was evaluated.

Results

Among all patients, 20 out of 27 pairs of features weakly correlated (r = – 0.13–0.30). For triple-negative breast cancer (TNBC), features from PD map in the pathological complete response (pCR) group (r = 0.60–0.86) showed higher correlation with ADC than that of the non-pCR group (r = 0.30–0.43), and the mean from the ADC and PD maps in the pCR group strongly correlated (r = 0.86). For HER2-positive, few correlations were found both in the pCR and non-pCR groups. For luminal HER2-negative, T2 map correlated more with ADC than T1 and PD maps. Significant differences were seen in T2 low percentiles and median in the luminal-HER2 negative subtype, yielding moderate AUCs (0.68/0.72/0.71).

Conclusions

The relationship between ADC and PD maps in TNBC may indicate different NAT responses. The no-to-weak correlation between the ADC and syMRI suggests their complementary roles in tumor microenvironment evaluation.

Critical relevance statement

The relationship between ADC and PD maps in TNBC may indicate different NAT responses, and the no-to-weak correlation between the ADC and syMRI suggests their complementary roles in tumor microenvironment evaluation.

Key points

• The relationship between ADC and PD in TNBC indicates different NAT responses.
• The no-to-weak correlations between ADC and syMRI complementarily evaluate tumor microenvironment.
• T2 low percentiles and median predict NAT response in luminal-HER2-negative subtype.

Graphical Abstract

Literature
12.
go back to reference Herrero Vicent C, Tudela X, Moreno Ruiz P et al (2022) Machine learning models and multiparametric magnetic resonance imaging for the prediction of pathologic response to neoadjuvant chemotherapy in breast cancer, Cancers (Basel) 14(14). https://doi.org/10.3390/cancers14143508 Herrero Vicent C, Tudela X, Moreno Ruiz P et al (2022) Machine learning models and multiparametric magnetic resonance imaging for the prediction of pathologic response to neoadjuvant chemotherapy in breast cancer, Cancers (Basel) 14(14). https://​doi.​org/​10.​3390/​cancers14143508
21.
Metadata
Title
Correlation between synthetic MRI relaxometry and apparent diffusion coefficient in breast cancer subtypes with different neoadjuvant therapy response
Authors
Wenhong Jiang
Siyao Du
Si Gao
Lizhi Xie
Zichuan Xie
Mengfan Wang
Can Peng
Jing Shi
Lina Zhang
Publication date
01-12-2023
Publisher
Springer Vienna
Published in
Insights into Imaging / Issue 1/2023
Electronic ISSN: 1869-4101
DOI
https://doi.org/10.1186/s13244-023-01492-9

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