Texture analysis using non-contrast MRI to predict estrogen receptor status in breast cancer lesions: Is it feasible?
Clin Radiol
; 79(7): e892-e899, 2024 Jul.
Article
en En
| MEDLINE
| ID: mdl-38719689
ABSTRACT
PURPOSE:
We aimed to evaluate the feasibility of non-contrast-enhanced T1 sequence in texture analysis of breast cancer lesions to predict their estrogen receptor status.METHODS:
The study included 85 pathologically proven breast cancer lesions in 53 patients. Immunohistochemical studies were performed to determine the estrogen receptor status (ER). Lesions were divided into two groups ER + ve status and ER-ve status. Texture analysis using the second-order analysis features [The Co-occurrence matrix (11 features)] was applied on both T1 and dynamic contrast-enhanced (DCE) MRI images for each lesion. Texture features gained from both T1 and DCE images were analyzed to obtain cut-off values using ROC curves to sort lesions according to their estrogen receptor status.RESULTS:
Angular second momentum and some of the entropy-based features showed statistically significant cut-off values in differentiation between the two groups [P-values for pre- and post-contrast images for AngSecMom (0.001, 0.008), sum entropy (0.003,0.005), and entropy (0.033,0.019), respectively]. On comparing the AUCs between pre- and post-contrast images, we found that differences were statistically insignificant. Sum of squares, sum variance, and sum average showed statistically significant cut-off points only on pre-contrast images [P-values for sum of squares (0.018), sum variance (0.024), and sum average (0.039)].CONCLUSIONS:
Texture analysis features showed promising results in predicting estrogen receptor status of breast cancer lesions on non-contrast T1 images.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Neoplasias de la Mama
/
Imagen por Resonancia Magnética
/
Receptores de Estrógenos
Límite:
Adult
/
Aged
/
Female
/
Humans
/
Middle aged
Idioma:
En
Revista:
Clin Radiol
Año:
2024
Tipo del documento:
Article
Pais de publicación:
Reino Unido