MRI to predict nipple-areola complex (NAC) involvement: An automatic method to compute the 3D distance between the NAC and tumor

Valentina Giannini, Veronica Bianchi, Silvia Carabalona, Simone Mazzetti, Furio Maggiorotto, Franziska Kubatzki, Daniele Regge, Riccardo Ponzone, Laura Martincich

Research output: Contribution to journalArticlepeer-review

Abstract

Objectives: To assess the role in predicting nipple-areola complex (NAC) involvement of a newly developed automatic method which computes the 3D tumor-NAC distance. Patients and Methods: Ninety-nine patients scheduled to nipple sparing mastectomy (NSM) underwent magnetic resonance (MR) examination at 1.5 T, including sagittal T2w and dynamic contrast enhanced (DCE)-MR imaging. An automatic method was developed to segment the NAC and the tumor and to compute the 3D distance between them. The automatic measurement was compared with manual axial and sagittal 2D measurements. NAC involvement was defined by the presence of invasive ductal or lobular carcinoma and/or ductal carcinoma in situ or ductal intraepithelial neoplasia (DIN1c − DIN3). Results: Tumor-NAC distance was computed on 95/99 patients (25 NAC+), as three tumors were not correctly segmented (sensitivity = 97%), and 1 NAC was not detected (sensitivity = 99%). The automatic 3D distance reached the highest area under the receiver operating characteristic (ROC) curve (0.830) with respect to the manual axial (0.676), sagittal (0.664), and minimum distances (0.664). At the best cut-off point of 21 mm, the 3D distance obtained sensitivity = 72%, specificity = 80%, positive predictive value = 56%, and negative predictive value = 89%. Conclusions: This method could provide a reproducible biomarker to preoperatively select breast cancer patients candidates to NSM, thus helping surgical planning and intraoperative management of patients.

Original languageEnglish
Pages (from-to)1069-1078
Number of pages10
JournalJournal of Surgical Oncology
Volume116
Issue number8
DOIs
Publication statusPublished - Dec 15 2017

Keywords

  • 3D automatic distance
  • breast cancer
  • magnetic resonance imaging
  • mastectomy
  • nipple-areola sparing
  • tumor segmentation

ASJC Scopus subject areas

  • Surgery
  • Oncology

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