Correlation between the dynamic contrast-enhanced MRI features and prognostic factors in breast cancer

Tao, Weijing; Hu, Chunhong; Bai, Genji; Zhu, Yinsu; Zhu, Yanxia

doi:10.1097/md.0000000000011530

Cited by 6 publications

(2 citation statements)

References 21 publications

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“…There was no significant correlation between internal enhancement patterns and the expression of hormonal receptors. This was in concordance with Tao et al [17].…”

Section: Discussionsupporting

confidence: 93%

Breast cancer imaging features as a predictor of the hormonal receptor status, HER2neu expression and molecular subtype

Algazzar

El-Sayed

Alhanafy

et al. 2020

Egypt J Radiol Nucl Med

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Background Determination of the hormonal receptor (HR) status, HER2neu expression, and the molecular subtype has valuable diagnostic, therapeutic, and prognostic implications for breast cancer as breast cancer stratification during the last two decades has become dependent upon the underlying biology. The aim of this study is to assess the correlation between imaging features of breast cancer and the HR status, HER2neu expression, and the molecular subtype. Sixty breast cancer patients underwent breast ultrasound, mammography, and MRI evaluation. Pathological evaluation using immunohistochemistry and FISH was used to detect the HR status, HER2/neu expression, and the molecular subtype. Those findings were then correlated with the radiologic data. Results HR-positive tumors were associated with posterior acoustic shadowing (34/44, 77.3%; p = 0.004). Hormonal-negative tumors presenting as masses were more likely circumscribed on US and MRI compared to hormonal positive mass tumors (6/14, 42.9% vs 3/36, 7.7%; p = 0.003 on US and 6/13, 46.3% vs 3/36, 8.3%; P = 0.007 on MRI) and had malignant DCE kinetics with washout curves compared to the hormonal positive group (10/16, 62.5% vs 4/44, 9.1%; P < 0.001). HER2neu-positive tumors were significantly associated with calcifications and multifocality on mammography compared to HER2neu-negative group (9/13, 69% vs 12/34, 25.5%; P = 0.007) and (7/13, 53% vs 3/47, 6%; P < 0.001). TNBC and HER2neu-enriched were associated with washout kinetic curve pattern (57.1% and 66.7%, respectively). TNBCs were associated with circumscribed margins on US and MRI (6/9, 66.7%; P < 0.001). Conclusion Microcalcifications, margins, posterior acoustic features, and malignant washout kinetics strongly correlate with the hormonal receptor status, HER2neu status, and molecular subtype of breast cancer. These findings may suggest the molecular subtype of breast cancer and further expand the role of imaging.

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“…There was no significant correlation between internal enhancement patterns and the expression of hormonal receptors. This was in concordance with Tao et al [17].…”

Section: Discussionsupporting

confidence: 93%

Breast cancer imaging features as a predictor of the hormonal receptor status, HER2neu expression and molecular subtype

Algazzar

El-Sayed

Alhanafy

et al. 2020

Egypt J Radiol Nucl Med

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show abstract

“…1 Dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) features can indirectly reflect the tumour proliferation rate and growth of the tumour by providing morphological and kinetic features. 6 Preoperative DCE-MRI of primary breast tumours has the potential to aid prognostic evaluation. 7,8 Several studies have confirmed the prognostic value of DCE-MRI parameters to predict the occurrence of metastasis for breast cancer, and some of these studies have also performed survival analysis.…”

Section: Introductionmentioning

confidence: 99%

Heterogeneity of enhancement kinetics in dynamic contrast-enhanced MRI and implication of distant metastasis in invasive breast cancer

Zhao

Tang

et al. 2020

Clinical Radiology

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To investigate the heterogeneity of enhancement kinetics for breast tumour in order to demonstrate the predictive power of dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) features for distant metastasis (DM) in invasive breast cancer. MATERIALS AND METHODS: Timeesignal intensity curve (TIC) patterns from 128 patients with invasive breast cancer were analysed by a pixel-based DCE-MRI analysis. This MRI technique enabled pixels with varying TIC patterns (persistent, plateau, washout and non-enhancement) to be categorised semi-automatically and the percentage of different TIC patterns in each breast tumour to be calculated. The percentage of TIC patterns was compared between the DM and non-DM groups. DM-free survival was estimated using KaplaneMeier survival analysis. RESULTS: This study demonstrated a larger percentage of persistent TIC and non-enhancement TIC was associated with DM in invasive breast cancer. The cutoff values of persistent TIC and nonenhancement TIC were 22.5% and 2.5%. Combining TIC patterns and traditional predictors (tumour size and axillary lymph node status) can improve the prediction efficiency. The multivariable model yielded an area under the receiver operating characteristic curve (AUC) of 0.87 with 0.70 sensitivity and 0.87 specificity in leave-one-out cross-validation (LOOCV). These predictors showed significant differences in DM-free survival by KaplaneMeier analysis. CONCLUSION: This study shows that breast tumours with higher heterogeneity are more likely to metastasise, and pixel-based TIC analysis has utility in predicting distant metastasis of invasive breast cancer.

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A Review of Recent Medical Imaging Modalities for Breast Cancer Detection: Active and Passive Method

Elouerghi,

Khomsi,

Bellarbi

2024

Lecture Notes in Networks and Systems

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Correlation between the dynamic contrast-enhanced MRI features and prognostic factors in breast cancer

Cited by 6 publications

References 21 publications

Breast cancer imaging features as a predictor of the hormonal receptor status, HER2neu expression and molecular subtype

Breast cancer imaging features as a predictor of the hormonal receptor status, HER2neu expression and molecular subtype

Heterogeneity of enhancement kinetics in dynamic contrast-enhanced MRI and implication of distant metastasis in invasive breast cancer

A Review of Recent Medical Imaging Modalities for Breast Cancer Detection: Active and Passive Method

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