Correlations between diffusion-weighted imaging and breast cancer biomarkers

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Abstract

Objective We evaluated whether the apparent diffusion coefficient (ADC) provided by diffusion-weighted imaging (DWI) varies according to biological features in breast cancer. Methods DWI was performed in 190 patients undergoing dynamic contrast-enhanced magnetic resonance imaging (MRI) for local staging. For each of the 192 index cancers we studied the correlation between ADC and classical histopathological and immunohistochemical breast tumour features (size, histological type, grade, oestrogen receptor [ER] and Ki-67 expression, HER2 status). ADC was compared with immunohistochemical surrogates of the intrinsic subtypes (Luminal A; Luminal B; HER2-enriched; triplenegative). Correlations were analysed using the Mann- Whitney U and Kruskal-Wallis H tests. Results A weak, statistically significant correlation was observed between ADC values and the percentage of ERpositive cells (-0.168, P00.020). Median ADC values were significantly higher in ER-negative than in ER-positive tumours (1.110 vs 1.050×10 -3 mm 2/s, P00.015). HER2- enriched tumours had the highest median ADC value (1.190×10 -3mm 2/s, range 0.950-2.090).Multiple comparisons showed that this value was significantly higher than that of Luminal A (1.025×10 -3 mm 2/s [0.700-1.340], P00.004) and Luminal B/HER2-negative (1.060×10 -3 mm 2/s [0.470-2.420], P00.008) tumours. A trend towards statistical significance (P0 0.018) was seen with Luminal B/HER2-positive tumours. Conclusions ADC values vary significantly according to biological tumour features, suggesting that cancer heterogeneity influences imaging parameters. Key Points ̇ DWI may identify biological heterogeneity of breast neoplasms. ̇ ADC values vary significantly according to biological features of breast cancer. ̇ Compared with other types, HER2-enriched tumours show highest median ADC value. ̇ Knowledge of biological heterogeneity of breast neoplasm may improve imaging interpretation.

Original languageEnglish
Pages (from-to)1519-1528
Number of pages10
JournalEuropean Radiology
Volume22
Issue number7
DOIs
Publication statusPublished - Jul 2012

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Tumor Biomarkers
Breast Neoplasms
Neoplasms
Estrogen Receptors
Magnetic Resonance Imaging

Keywords

  • Diffusion-weighted MRI
  • Estrogen receptor
  • HER2
  • Histological subtypes
  • Keywords Breast neoplasms

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

Cite this

@article{f35e99c12fda4425a0cfe6f6b57ef805,
title = "Correlations between diffusion-weighted imaging and breast cancer biomarkers",
abstract = "Objective We evaluated whether the apparent diffusion coefficient (ADC) provided by diffusion-weighted imaging (DWI) varies according to biological features in breast cancer. Methods DWI was performed in 190 patients undergoing dynamic contrast-enhanced magnetic resonance imaging (MRI) for local staging. For each of the 192 index cancers we studied the correlation between ADC and classical histopathological and immunohistochemical breast tumour features (size, histological type, grade, oestrogen receptor [ER] and Ki-67 expression, HER2 status). ADC was compared with immunohistochemical surrogates of the intrinsic subtypes (Luminal A; Luminal B; HER2-enriched; triplenegative). Correlations were analysed using the Mann- Whitney U and Kruskal-Wallis H tests. Results A weak, statistically significant correlation was observed between ADC values and the percentage of ERpositive cells (-0.168, P00.020). Median ADC values were significantly higher in ER-negative than in ER-positive tumours (1.110 vs 1.050×10 -3 mm 2/s, P00.015). HER2- enriched tumours had the highest median ADC value (1.190×10 -3mm 2/s, range 0.950-2.090).Multiple comparisons showed that this value was significantly higher than that of Luminal A (1.025×10 -3 mm 2/s [0.700-1.340], P00.004) and Luminal B/HER2-negative (1.060×10 -3 mm 2/s [0.470-2.420], P00.008) tumours. A trend towards statistical significance (P0 0.018) was seen with Luminal B/HER2-positive tumours. Conclusions ADC values vary significantly according to biological tumour features, suggesting that cancer heterogeneity influences imaging parameters. Key Points ̇ DWI may identify biological heterogeneity of breast neoplasms. ̇ ADC values vary significantly according to biological features of breast cancer. ̇ Compared with other types, HER2-enriched tumours show highest median ADC value. ̇ Knowledge of biological heterogeneity of breast neoplasm may improve imaging interpretation.",
keywords = "Diffusion-weighted MRI, Estrogen receptor, HER2, Histological subtypes, Keywords Breast neoplasms",
author = "Laura Martincich and Veronica Deantoni and Ilaria Bertotto and Stefania Redana and Franziska Kubatzki and Ivana Sarotto and Valentina Rossi and Michele Liotti and Riccardo Ponzone and Massimo Aglietta and Daniele Regge and Filippo Montemurro",
year = "2012",
month = "7",
doi = "10.1007/s00330-012-2403-8",
language = "English",
volume = "22",
pages = "1519--1528",
journal = "European Radiology",
issn = "0938-7994",
publisher = "Springer Verlag",
number = "7",

}

TY - JOUR

T1 - Correlations between diffusion-weighted imaging and breast cancer biomarkers

AU - Martincich, Laura

AU - Deantoni, Veronica

AU - Bertotto, Ilaria

AU - Redana, Stefania

AU - Kubatzki, Franziska

AU - Sarotto, Ivana

AU - Rossi, Valentina

AU - Liotti, Michele

AU - Ponzone, Riccardo

AU - Aglietta, Massimo

AU - Regge, Daniele

AU - Montemurro, Filippo

PY - 2012/7

Y1 - 2012/7

N2 - Objective We evaluated whether the apparent diffusion coefficient (ADC) provided by diffusion-weighted imaging (DWI) varies according to biological features in breast cancer. Methods DWI was performed in 190 patients undergoing dynamic contrast-enhanced magnetic resonance imaging (MRI) for local staging. For each of the 192 index cancers we studied the correlation between ADC and classical histopathological and immunohistochemical breast tumour features (size, histological type, grade, oestrogen receptor [ER] and Ki-67 expression, HER2 status). ADC was compared with immunohistochemical surrogates of the intrinsic subtypes (Luminal A; Luminal B; HER2-enriched; triplenegative). Correlations were analysed using the Mann- Whitney U and Kruskal-Wallis H tests. Results A weak, statistically significant correlation was observed between ADC values and the percentage of ERpositive cells (-0.168, P00.020). Median ADC values were significantly higher in ER-negative than in ER-positive tumours (1.110 vs 1.050×10 -3 mm 2/s, P00.015). HER2- enriched tumours had the highest median ADC value (1.190×10 -3mm 2/s, range 0.950-2.090).Multiple comparisons showed that this value was significantly higher than that of Luminal A (1.025×10 -3 mm 2/s [0.700-1.340], P00.004) and Luminal B/HER2-negative (1.060×10 -3 mm 2/s [0.470-2.420], P00.008) tumours. A trend towards statistical significance (P0 0.018) was seen with Luminal B/HER2-positive tumours. Conclusions ADC values vary significantly according to biological tumour features, suggesting that cancer heterogeneity influences imaging parameters. Key Points ̇ DWI may identify biological heterogeneity of breast neoplasms. ̇ ADC values vary significantly according to biological features of breast cancer. ̇ Compared with other types, HER2-enriched tumours show highest median ADC value. ̇ Knowledge of biological heterogeneity of breast neoplasm may improve imaging interpretation.

AB - Objective We evaluated whether the apparent diffusion coefficient (ADC) provided by diffusion-weighted imaging (DWI) varies according to biological features in breast cancer. Methods DWI was performed in 190 patients undergoing dynamic contrast-enhanced magnetic resonance imaging (MRI) for local staging. For each of the 192 index cancers we studied the correlation between ADC and classical histopathological and immunohistochemical breast tumour features (size, histological type, grade, oestrogen receptor [ER] and Ki-67 expression, HER2 status). ADC was compared with immunohistochemical surrogates of the intrinsic subtypes (Luminal A; Luminal B; HER2-enriched; triplenegative). Correlations were analysed using the Mann- Whitney U and Kruskal-Wallis H tests. Results A weak, statistically significant correlation was observed between ADC values and the percentage of ERpositive cells (-0.168, P00.020). Median ADC values were significantly higher in ER-negative than in ER-positive tumours (1.110 vs 1.050×10 -3 mm 2/s, P00.015). HER2- enriched tumours had the highest median ADC value (1.190×10 -3mm 2/s, range 0.950-2.090).Multiple comparisons showed that this value was significantly higher than that of Luminal A (1.025×10 -3 mm 2/s [0.700-1.340], P00.004) and Luminal B/HER2-negative (1.060×10 -3 mm 2/s [0.470-2.420], P00.008) tumours. A trend towards statistical significance (P0 0.018) was seen with Luminal B/HER2-positive tumours. Conclusions ADC values vary significantly according to biological tumour features, suggesting that cancer heterogeneity influences imaging parameters. Key Points ̇ DWI may identify biological heterogeneity of breast neoplasms. ̇ ADC values vary significantly according to biological features of breast cancer. ̇ Compared with other types, HER2-enriched tumours show highest median ADC value. ̇ Knowledge of biological heterogeneity of breast neoplasm may improve imaging interpretation.

KW - Diffusion-weighted MRI

KW - Estrogen receptor

KW - HER2

KW - Histological subtypes

KW - Keywords Breast neoplasms

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