BACKGROUND: Preoperative assessment of the nipple-areolar complex (NAC) is invaluable when considering nipple-sparing mastectomy. Our hypothesis is that breast magnetic resonance imaging (MRI) may predict involvement of the NAC with tumor. METHODS: Clinical, histopathologic, and imaging data were compiled for patients who underwent preoperative breast MRI followed by mastectomy or nipple-sparing mastectomy for malignancy between 2006 and 2009. Blinded rereview of all MRI studies was performed by a breast MRI imager and compared to initial MRI findings. Multivariate analysis identified variables predicting NAC involvement with tumor. RESULTS: Of 77 breasts, 18 (23 %) had tumor involving or within 1 cm of the NAC. The sensitivity of detecting histopathologically confirmed NAC involvement was 61 % with history and/or physical examination, and 56 % with MRI. Univariate analysis identified the following variables as significant for NAC involvement: large tumors near the nipple on preoperative MRI, node-positive disease, invasive lobular carcinoma, advanced histopathologic T stage, and neoadjuvant chemotherapy. On multivariate analysis, only tumor size >2 cm and distance from tumor edge to the NAC <2 cm on MRI maintained significance. Pearson correlation coefficient for MRI size compared to histopathologic size was 0.53 (P < 0.0001). CONCLUSIONS: MRI is not superior to thorough clinical evaluation for predicting tumor in or near the NAC. However, MRI-measured tumor size and distance from the NAC are correlated with increased risk of NAC involvement. The combination of preoperative history and physical examination, tumor characteristics, and breast MRI can aid the surgeon in predicting a tumor-involved nipple more than any single modality alone.
BACKGROUND: Preoperative assessment of the nipple-areolar complex (NAC) is invaluable when considering nipple-sparing mastectomy. Our hypothesis is that breast magnetic resonance imaging (MRI) may predict involvement of the NAC with tumor. METHODS: Clinical, histopathologic, and imaging data were compiled for patients who underwent preoperative breast MRI followed by mastectomy or nipple-sparing mastectomy for malignancy between 2006 and 2009. Blinded rereview of all MRI studies was performed by a breast MRI imager and compared to initial MRI findings. Multivariate analysis identified variables predicting NAC involvement with tumor. RESULTS: Of 77 breasts, 18 (23 %) had tumor involving or within 1 cm of the NAC. The sensitivity of detecting histopathologically confirmed NAC involvement was 61 % with history and/or physical examination, and 56 % with MRI. Univariate analysis identified the following variables as significant for NAC involvement: large tumors near the nipple on preoperative MRI, node-positive disease, invasive lobular carcinoma, advanced histopathologic T stage, and neoadjuvant chemotherapy. On multivariate analysis, only tumor size >2 cm and distance from tumor edge to the NAC <2 cm on MRI maintained significance. Pearson correlation coefficient for MRI size compared to histopathologic size was 0.53 (P < 0.0001). CONCLUSIONS: MRI is not superior to thorough clinical evaluation for predicting tumor in or near the NAC. However, MRI-measured tumor size and distance from the NAC are correlated with increased risk of NAC involvement. The combination of preoperative history and physical examination, tumor characteristics, and breast MRI can aid the surgeon in predicting a tumor-involved nipple more than any single modality alone.
Authors: Dipti M Karamchandani; Alison L Chetlen; Meghan P Riley; Susann Schetter; Christopher S Hollenbeak; Julie Mack Journal: Virchows Arch Date: 2015-01-09 Impact factor: 4.064
Authors: Jai Min Ryu; Seok Jin Nam; Seok Won Kim; Se Kyung Lee; Soo Youn Bae; Ha Woo Yi; Sungmin Park; Hyun-June Paik; Jeong Eon Lee Journal: World J Surg Date: 2016-08 Impact factor: 3.352
Authors: Walter P Weber; Martin Haug; Christian Kurzeder; Vesna Bjelic-Radisic; Rupert Koller; Roland Reitsamer; Florian Fitzal; Jorge Biazus; Fabricio Brenelli; Cicero Urban; Régis Resende Paulinelli; Jens-Uwe Blohmer; Jörg Heil; Jürgen Hoffmann; Zoltan Matrai; Giuseppe Catanuto; Viviana Galimberti; Oreste Gentilini; Mitchel Barry; Tal Hadar; Tanir M Allweis; Oded Olsha; Maria João Cardoso; Pedro F Gouveia; Isabel T Rubio; Jana de Boniface; Tor Svensjö; Susanne Bucher; Peter Dubsky; Jian Farhadi; Mathias K Fehr; Ilario Fulco; Ursula Ganz-Blättler; Andreas Günthert; Yves Harder; Nik Hauser; Elisabeth A Kappos; Michael Knauer; Julia Landin; Robert Mechera; Francesco Meani; Giacomo Montagna; Mathilde Ritter; Ramon Saccilotto; Fabienne D Schwab; Daniel Steffens; Christoph Tausch; Jasmin Zeindler; Savas D Soysal; Visnu Lohsiriwat; Tibor Kovacs; Anne Tansley; Lynda Wyld; Laszlo Romics; Mahmoud El-Tamer; Andrea L Pusic; Virgilio Sacchini; Michael Gnant Journal: Breast Cancer Res Treat Date: 2018-09-04 Impact factor: 4.872