In the last decade contrast-enhanced magnetic resonance imaging (MRI) has gained a growing role as a complementary tool for breast cancer diagnosis. Currently the relationship between the kinetic features of a breast lesion and pathologic prognostic factors has become a popular field of research. Our aim is to verify whether breast MRI could be considered a useful tool to predict Ki-67 score, thus resulting as a breast cancer prognosis indicator.
From June to December 2014, we enrolled patients with breast cancer who underwent preoperative dynamic contrast-enhanced MRI at the local health agency. We analyzed the time-signal intensity curves calculating the mean values of the following parameters: the basal enhancement (Ebase), the enhancement ratio (ENHratio), the maximum enhancement (Emax), and the steepest slope of the contrast enhancement curve (Smax). Scatterplots and Pearson correlation test were used to investigate the eventual associations among these parameters.
A total of 27 patients underwent breast MRI during the study period. The mean ± SD Ki-67 percentage was 27.03 ± 16.8; the mean Emax, Smax, Ebase , and ENHratio were 433.9 ± 120.2, 267.3 ± 96.8, 165.5 ± 77.1, and 187.1 ± 94.8, respectively. Scatterplots suggest a positive correlation between Ki-67 and both Emax and Smax. The correlation tests between Ki-67 and Emax, Ki-67 and Smax showed statistical significance.
Our preliminary data suggest that enhancement pattern is closely linked to breast cancer proliferation, thus proving the relationship between more proliferating tumors and more rapidly enhanced lesions. This is hypothesis-generating for further studies aimed at promoting breast MRI in the early estimation of cancer prognosis and tumor in vivo response to chemotherapy.
Post author correction
Article Type: ORIGINAL RESEARCH ARTICLE
AuthorsCorrado Caiazzo, Rosa Di Micco, Emanuela Esposito, Viviana Sollazzo, Maria Cervotti, Carlo Varelli, Pietro Forestieri, Gennaro Limite
- • Accepted on 17/02/2017
- • Available online on 28/04/2017
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- Caiazzo, Corrado [PubMed] [Google Scholar] 1
- Di Micco, Rosa [PubMed] [Google Scholar] 2, * Corresponding Author (email@example.com)
- Esposito, Emanuela [PubMed] [Google Scholar] 2
- Sollazzo, Viviana [PubMed] [Google Scholar] 2
- Cervotti, Maria [PubMed] [Google Scholar] 2
- Varelli, Carlo [PubMed] [Google Scholar] 3
- Forestieri, Pietro [PubMed] [Google Scholar] 2
- Limite, Gennaro [PubMed] [Google Scholar] 2
Breast Service, Local Health Agency of Naples ASL NA1, Naples - Italy
Department of Clinical Medicine and Surgery, Breast Unit, University of Naples Federico II, Naples - Italy
Breast Service, Varelli Diagnostic Centre, Naples - Italy
Corrado Caiazzo and Rosa Di Micco equally contributed to this work.