Can Diffusion-Weighted Imaging and Related Apparent Diffusion Coefficient be a Prognostic Value in Women With Breast Cancer?

Paola Rabasco, Rocchina Caivano, Vittorio Simeon, Giuseppina Dinardo, Antonella Lotumolo, Matilde Gioioso, Antonio Villonio, Giancarlo Iannelli, Felice D'Antuono, Alexis Zandolino, Luca Macarini, Giuseppe Guglielmi, Aldo Cammarota

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

Purpose: To analyze diffusion-weighted imaging (DWI) and the related apparent diffusion coefficient (ADC) in women with breast cancer, correlating these values with the presence at 3 years of distant metastases, and to demonstrate that DWI-Magnetic Resonance Imaging (MRI) and related ADC values may represent a prognostic value in the study of women with breast cancer. Materials and methods: Sixty women (aged 45–73 years) affected with breast cancer with a follow-up in 3 years were enrolled. On DWI, we obtained the ADC values, and these were correlated with the clinical condition of patients at 3 years. Moreover, tumour size, lymph node status, and molecular markers, including estrogens receptor, progesterone receptor, Ki-67 index, and human growth factor receptor 2 protein, were correlated with ADC values. This study was approved by the Scientific Committee of our institution. Results: We considered patients with metastasis at 3 years (12 patients–20%) and without metastasis (48 patients–80%). The mean ADC value in patients with no metastases at 3 years was 1.06 ± 0.38, while for patients with metastases it was 0.74 ± 0.34 (p =.011). The receiver–operator curve analysis identified a value of 0.75 (<0.75 with risk to develop metastasis) as the best predictive cutoff for ADC values, with the highest sensitivity (81.25%) and higher specificity (66.67%). After regression analysis, ADC value, positivity to estrogen–progestin receptors, and presence of lymph nodes were the only prognostic factors found to be statistically significant. Conclusions: DWI-MRI and related ADC values may represent a prognostic value in women with breast cancer.

Original languageEnglish
Pages (from-to)92-99
Number of pages8
JournalCancer Investigation
Volume35
Issue number2
DOIs
Publication statusPublished - Feb 7 2017

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Breast Neoplasms
Neoplasm Metastasis
Lymph Nodes
Magnetic Resonance Imaging
Growth Factor Receptors
Progesterone Receptors
Estrogen Receptors
Regression Analysis
Neoplasms

Keywords

  • apparent diffusion coefficient
  • Breast cancer
  • diffusion-weighted imaging
  • magnetic resonance imaging
  • prognostic factors

ASJC Scopus subject areas

  • Oncology
  • Cancer Research

Cite this

Can Diffusion-Weighted Imaging and Related Apparent Diffusion Coefficient be a Prognostic Value in Women With Breast Cancer? / Rabasco, Paola; Caivano, Rocchina; Simeon, Vittorio; Dinardo, Giuseppina; Lotumolo, Antonella; Gioioso, Matilde; Villonio, Antonio; Iannelli, Giancarlo; D'Antuono, Felice; Zandolino, Alexis; Macarini, Luca; Guglielmi, Giuseppe; Cammarota, Aldo.

In: Cancer Investigation, Vol. 35, No. 2, 07.02.2017, p. 92-99.

Research output: Contribution to journalArticle

Rabasco, Paola ; Caivano, Rocchina ; Simeon, Vittorio ; Dinardo, Giuseppina ; Lotumolo, Antonella ; Gioioso, Matilde ; Villonio, Antonio ; Iannelli, Giancarlo ; D'Antuono, Felice ; Zandolino, Alexis ; Macarini, Luca ; Guglielmi, Giuseppe ; Cammarota, Aldo. / Can Diffusion-Weighted Imaging and Related Apparent Diffusion Coefficient be a Prognostic Value in Women With Breast Cancer?. In: Cancer Investigation. 2017 ; Vol. 35, No. 2. pp. 92-99.
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T1 - Can Diffusion-Weighted Imaging and Related Apparent Diffusion Coefficient be a Prognostic Value in Women With Breast Cancer?

AU - Rabasco, Paola

AU - Caivano, Rocchina

AU - Simeon, Vittorio

AU - Dinardo, Giuseppina

AU - Lotumolo, Antonella

AU - Gioioso, Matilde

AU - Villonio, Antonio

AU - Iannelli, Giancarlo

AU - D'Antuono, Felice

AU - Zandolino, Alexis

AU - Macarini, Luca

AU - Guglielmi, Giuseppe

AU - Cammarota, Aldo

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Y1 - 2017/2/7

N2 - Purpose: To analyze diffusion-weighted imaging (DWI) and the related apparent diffusion coefficient (ADC) in women with breast cancer, correlating these values with the presence at 3 years of distant metastases, and to demonstrate that DWI-Magnetic Resonance Imaging (MRI) and related ADC values may represent a prognostic value in the study of women with breast cancer. Materials and methods: Sixty women (aged 45–73 years) affected with breast cancer with a follow-up in 3 years were enrolled. On DWI, we obtained the ADC values, and these were correlated with the clinical condition of patients at 3 years. Moreover, tumour size, lymph node status, and molecular markers, including estrogens receptor, progesterone receptor, Ki-67 index, and human growth factor receptor 2 protein, were correlated with ADC values. This study was approved by the Scientific Committee of our institution. Results: We considered patients with metastasis at 3 years (12 patients–20%) and without metastasis (48 patients–80%). The mean ADC value in patients with no metastases at 3 years was 1.06 ± 0.38, while for patients with metastases it was 0.74 ± 0.34 (p =.011). The receiver–operator curve analysis identified a value of 0.75 (<0.75 with risk to develop metastasis) as the best predictive cutoff for ADC values, with the highest sensitivity (81.25%) and higher specificity (66.67%). After regression analysis, ADC value, positivity to estrogen–progestin receptors, and presence of lymph nodes were the only prognostic factors found to be statistically significant. Conclusions: DWI-MRI and related ADC values may represent a prognostic value in women with breast cancer.

AB - Purpose: To analyze diffusion-weighted imaging (DWI) and the related apparent diffusion coefficient (ADC) in women with breast cancer, correlating these values with the presence at 3 years of distant metastases, and to demonstrate that DWI-Magnetic Resonance Imaging (MRI) and related ADC values may represent a prognostic value in the study of women with breast cancer. Materials and methods: Sixty women (aged 45–73 years) affected with breast cancer with a follow-up in 3 years were enrolled. On DWI, we obtained the ADC values, and these were correlated with the clinical condition of patients at 3 years. Moreover, tumour size, lymph node status, and molecular markers, including estrogens receptor, progesterone receptor, Ki-67 index, and human growth factor receptor 2 protein, were correlated with ADC values. This study was approved by the Scientific Committee of our institution. Results: We considered patients with metastasis at 3 years (12 patients–20%) and without metastasis (48 patients–80%). The mean ADC value in patients with no metastases at 3 years was 1.06 ± 0.38, while for patients with metastases it was 0.74 ± 0.34 (p =.011). The receiver–operator curve analysis identified a value of 0.75 (<0.75 with risk to develop metastasis) as the best predictive cutoff for ADC values, with the highest sensitivity (81.25%) and higher specificity (66.67%). After regression analysis, ADC value, positivity to estrogen–progestin receptors, and presence of lymph nodes were the only prognostic factors found to be statistically significant. Conclusions: DWI-MRI and related ADC values may represent a prognostic value in women with breast cancer.

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