Is there a correlation between 3T multiparametric MRI and molecular subtypes of breast cancer?

Stefania Montemezzi, Lucia Camera, Maria Grazia Giri, Alice Pozzetto, Anna Caliò, Gabriele Meliadò, Francesca Caumo, Carlo Cavedon

Research output: Contribution to journalArticle

Abstract

OBJECTIVES: To test whether 3 T multiparametric magnetic resonance imaging (mMRI) provides information related to molecular subtypes of breast cancer.

METHODS: Women with mammographic or US findings of breast lesions (BI-RADS 4-5) underwent 3 T mMRI (DCE, DWI and MR spectroscopy). The histological type of breast cancer was assessed. Estrogen-receptor (ER), progesterone-receptor (PgR), Ki-67 status and HER-2 expression, assessed by immunohistochemistry (IHC), defined four molecular subtypes: Luminal-A, Luminal-B, HER2-enriched and triple-negative. Non-parametric tests (Kruskal-Wallis, k-sample equality of medians, and Mann-Whitney), logistic regression or ANOVA, and a multivariate analysis were performed to investigate correlations between the four molecular subtypes and mMRI (lesion volume, margins or distribution, enhancement pattern, ADC, type of kinetic curve, and total choline (tCho) signal-to-noise-ratio (SNR)). A ROC analysis was finally performed to test the diagnostic power of a multivariate logistic regression model.

RESULTS: 433 patients (453 lesions) were considered. Volume was smaller in Luminal-B and larger in triple-negative tumours compared to the other subtypes combined. Margins were significantly correlated to Luminal-A and Luminal-B. The type of curve was significantly correlated to Luminal-A. ADC values were higher in Luminal-A. tCho SNR was higher in triple-negative tumours. The ROC analysis showed that the area under the curve (AUC) significantly improved when multiple MRI features were used compared to individual parameters.

CONCLUSIONS: A significant correlation was found between some MRI features and molecular subtypes of breast tumours. A multiparametric approach improved the diagnostic power of MRI. However, further research is needed in order to predict the molecular subtype on the sole basis of mMRI.

Original languageEnglish
Pages (from-to)120-127
Number of pages8
JournalEuropean Journal of Radiology
Volume108
DOIs
Publication statusPublished - Nov 2018

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Phenobarbital
Breast Neoplasms
Magnetic Resonance Imaging
Logistic Models
Signal-To-Noise Ratio
Choline
ROC Curve
Progesterone Receptors
Routine Diagnostic Tests
Estrogen Receptors
Area Under Curve
Neoplasms
Analysis of Variance
Breast
Magnetic Resonance Spectroscopy
Multivariate Analysis
Immunohistochemistry
Research

Keywords

  • Adult
  • Aged
  • Area Under Curve
  • Breast Neoplasms/metabolism
  • Choline/metabolism
  • Estrogen Receptor alpha
  • Female
  • Humans
  • Immunohistochemistry
  • Magnetic Resonance Imaging/methods
  • Magnetic Resonance Spectroscopy
  • Mammography/methods
  • Middle Aged
  • Prospective Studies
  • ROC Curve
  • Receptor, ErbB-2/metabolism
  • Receptors, Estrogen/metabolism
  • Receptors, Progesterone/metabolism

Cite this

Montemezzi, S., Camera, L., Giri, M. G., Pozzetto, A., Caliò, A., Meliadò, G., ... Cavedon, C. (2018). Is there a correlation between 3T multiparametric MRI and molecular subtypes of breast cancer? European Journal of Radiology, 108, 120-127. https://doi.org/10.1016/j.ejrad.2018.09.024

Is there a correlation between 3T multiparametric MRI and molecular subtypes of breast cancer? / Montemezzi, Stefania; Camera, Lucia; Giri, Maria Grazia; Pozzetto, Alice; Caliò, Anna; Meliadò, Gabriele; Caumo, Francesca; Cavedon, Carlo.

In: European Journal of Radiology, Vol. 108, 11.2018, p. 120-127.

Research output: Contribution to journalArticle

Montemezzi, S, Camera, L, Giri, MG, Pozzetto, A, Caliò, A, Meliadò, G, Caumo, F & Cavedon, C 2018, 'Is there a correlation between 3T multiparametric MRI and molecular subtypes of breast cancer?', European Journal of Radiology, vol. 108, pp. 120-127. https://doi.org/10.1016/j.ejrad.2018.09.024
Montemezzi, Stefania ; Camera, Lucia ; Giri, Maria Grazia ; Pozzetto, Alice ; Caliò, Anna ; Meliadò, Gabriele ; Caumo, Francesca ; Cavedon, Carlo. / Is there a correlation between 3T multiparametric MRI and molecular subtypes of breast cancer?. In: European Journal of Radiology. 2018 ; Vol. 108. pp. 120-127.
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abstract = "OBJECTIVES: To test whether 3 T multiparametric magnetic resonance imaging (mMRI) provides information related to molecular subtypes of breast cancer.METHODS: Women with mammographic or US findings of breast lesions (BI-RADS 4-5) underwent 3 T mMRI (DCE, DWI and MR spectroscopy). The histological type of breast cancer was assessed. Estrogen-receptor (ER), progesterone-receptor (PgR), Ki-67 status and HER-2 expression, assessed by immunohistochemistry (IHC), defined four molecular subtypes: Luminal-A, Luminal-B, HER2-enriched and triple-negative. Non-parametric tests (Kruskal-Wallis, k-sample equality of medians, and Mann-Whitney), logistic regression or ANOVA, and a multivariate analysis were performed to investigate correlations between the four molecular subtypes and mMRI (lesion volume, margins or distribution, enhancement pattern, ADC, type of kinetic curve, and total choline (tCho) signal-to-noise-ratio (SNR)). A ROC analysis was finally performed to test the diagnostic power of a multivariate logistic regression model.RESULTS: 433 patients (453 lesions) were considered. Volume was smaller in Luminal-B and larger in triple-negative tumours compared to the other subtypes combined. Margins were significantly correlated to Luminal-A and Luminal-B. The type of curve was significantly correlated to Luminal-A. ADC values were higher in Luminal-A. tCho SNR was higher in triple-negative tumours. The ROC analysis showed that the area under the curve (AUC) significantly improved when multiple MRI features were used compared to individual parameters.CONCLUSIONS: A significant correlation was found between some MRI features and molecular subtypes of breast tumours. A multiparametric approach improved the diagnostic power of MRI. However, further research is needed in order to predict the molecular subtype on the sole basis of mMRI.",
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AU - Montemezzi, Stefania

AU - Camera, Lucia

AU - Giri, Maria Grazia

AU - Pozzetto, Alice

AU - Caliò, Anna

AU - Meliadò, Gabriele

AU - Caumo, Francesca

AU - Cavedon, Carlo

N1 - Copyright © 2018 Elsevier B.V. All rights reserved.

PY - 2018/11

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N2 - OBJECTIVES: To test whether 3 T multiparametric magnetic resonance imaging (mMRI) provides information related to molecular subtypes of breast cancer.METHODS: Women with mammographic or US findings of breast lesions (BI-RADS 4-5) underwent 3 T mMRI (DCE, DWI and MR spectroscopy). The histological type of breast cancer was assessed. Estrogen-receptor (ER), progesterone-receptor (PgR), Ki-67 status and HER-2 expression, assessed by immunohistochemistry (IHC), defined four molecular subtypes: Luminal-A, Luminal-B, HER2-enriched and triple-negative. Non-parametric tests (Kruskal-Wallis, k-sample equality of medians, and Mann-Whitney), logistic regression or ANOVA, and a multivariate analysis were performed to investigate correlations between the four molecular subtypes and mMRI (lesion volume, margins or distribution, enhancement pattern, ADC, type of kinetic curve, and total choline (tCho) signal-to-noise-ratio (SNR)). A ROC analysis was finally performed to test the diagnostic power of a multivariate logistic regression model.RESULTS: 433 patients (453 lesions) were considered. Volume was smaller in Luminal-B and larger in triple-negative tumours compared to the other subtypes combined. Margins were significantly correlated to Luminal-A and Luminal-B. The type of curve was significantly correlated to Luminal-A. ADC values were higher in Luminal-A. tCho SNR was higher in triple-negative tumours. The ROC analysis showed that the area under the curve (AUC) significantly improved when multiple MRI features were used compared to individual parameters.CONCLUSIONS: A significant correlation was found between some MRI features and molecular subtypes of breast tumours. A multiparametric approach improved the diagnostic power of MRI. However, further research is needed in order to predict the molecular subtype on the sole basis of mMRI.

AB - OBJECTIVES: To test whether 3 T multiparametric magnetic resonance imaging (mMRI) provides information related to molecular subtypes of breast cancer.METHODS: Women with mammographic or US findings of breast lesions (BI-RADS 4-5) underwent 3 T mMRI (DCE, DWI and MR spectroscopy). The histological type of breast cancer was assessed. Estrogen-receptor (ER), progesterone-receptor (PgR), Ki-67 status and HER-2 expression, assessed by immunohistochemistry (IHC), defined four molecular subtypes: Luminal-A, Luminal-B, HER2-enriched and triple-negative. Non-parametric tests (Kruskal-Wallis, k-sample equality of medians, and Mann-Whitney), logistic regression or ANOVA, and a multivariate analysis were performed to investigate correlations between the four molecular subtypes and mMRI (lesion volume, margins or distribution, enhancement pattern, ADC, type of kinetic curve, and total choline (tCho) signal-to-noise-ratio (SNR)). A ROC analysis was finally performed to test the diagnostic power of a multivariate logistic regression model.RESULTS: 433 patients (453 lesions) were considered. Volume was smaller in Luminal-B and larger in triple-negative tumours compared to the other subtypes combined. Margins were significantly correlated to Luminal-A and Luminal-B. The type of curve was significantly correlated to Luminal-A. ADC values were higher in Luminal-A. tCho SNR was higher in triple-negative tumours. The ROC analysis showed that the area under the curve (AUC) significantly improved when multiple MRI features were used compared to individual parameters.CONCLUSIONS: A significant correlation was found between some MRI features and molecular subtypes of breast tumours. A multiparametric approach improved the diagnostic power of MRI. However, further research is needed in order to predict the molecular subtype on the sole basis of mMRI.

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KW - Humans

KW - Immunohistochemistry

KW - Magnetic Resonance Imaging/methods

KW - Magnetic Resonance Spectroscopy

KW - Mammography/methods

KW - Middle Aged

KW - Prospective Studies

KW - ROC Curve

KW - Receptor, ErbB-2/metabolism

KW - Receptors, Estrogen/metabolism

KW - Receptors, Progesterone/metabolism

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DO - 10.1016/j.ejrad.2018.09.024

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JO - European Journal of Radiology

JF - European Journal of Radiology

SN - 0720-048X

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