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Breast cancer diagnosis and prognosis using a high b-value non-Gaussian continuous-time random-walk model.

Authors :
Feng, H.
Liu, H.
Wang, Q.
Song, M.
Yang, T.
Zheng, L.
Wu, D.
Shao, X.
Shi, G.
Source :
Clinical Radiology. Sep2023, Vol. 78 Issue 9, pe660-e667. 8p.
Publication Year :
2023

Abstract

To compare the diagnostic performance of mono-exponential model-derived apparent diffusion coefficient (ADC), continuous-time random-walk (CTRW) model-derived D m , α , β and their combinations in discriminating malignancy of breast lesions, and investigate the association between model-derived parameters and prognosis-related immunohistochemical indices. A total of 85 patients with breast lesions (51 malignant, 34 benign) were analysed in this retrospective study. Clinical characteristics include oestrogen receptor (ER), progesterone receptor (PR), human epidermal receptor 2 (HER2), and Ki-67. The ADC was fitted using a mono-exponential model (b-values = 0, 800 s/mm2), while D m , α, and β were fitted using a CTRW model. Independent Student's t -test and the Mann–Whitney U -test were used for the comparison of parameters. Discrimination performance was accomplished by receiver operating characteristic (ROC) analysis, and Spearman's correlation analysis was used to explore the association between immunohistochemical indices and diffusion parameters, the statistical significance level was p< 0.05. D m and ADC demonstrated similar performance in differentiating malignant and benign lesions (AUC = 0.928 versus 0.930), while the combination of D m , α, and β could improve the AUC to 0.969. The combined parameter generated by ADC, D m , α, and β was effective in identifying the ER+/ER– and PR+/PR– patients. Temporal heterogeneity parameter α correlated significantly with the expression of PR. Diffusion parameters derived from the CTRW model could effectively discriminate the malignancy of breast lesions. Meanwhile, the hormone receptor expression could be distinguished by combined diffusion parameters, and have the potential to reflect the prognosis. • The CTRW parameters could help distinguish the malignancy of breast lesions. • ER+/PR + patients could be identified by the combination of CTRW parameters. • There was an association between CTRW parameter and PR expression. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00099260
Volume :
78
Issue :
9
Database :
Academic Search Index
Journal :
Clinical Radiology
Publication Type :
Academic Journal
Accession number :
169730068
Full Text :
https://doi.org/10.1016/j.crad.2023.05.016