Literature DB >> 31775081

MRI diagnostic features for predicting nipple-areolar-complex involvement in breast cancer.

Jieun Koh1, Ah Young Park2, Kyung Hee Ko2, Hae Kyoung Jung2.   

Abstract

PURPOSE: To evaluate magnetic resonance imaging (MRI) features including tumor-nipple enhancement for predicting nipple-areolar-complex (NAC) involvement in breast cancer.
METHODS: A total of 249 breast cancer cases with available preoperative MRI data were studied. On MRI, tumor-nipple enhancement was evaluated 2 min (early) and 6 min (delayed) after contrast injection. Asymmetric nipple enhancement, mass size, tumor-nipple distance, presence of nipple discharge, and enhancement type (mass or non-mass enhancement) were evaluated.
RESULTS: Of the 249 breast cancers, 24 (9.6%) showed NAC involvement. Early tumor-nipple enhancement was found in 37 (14.9%) cancers and delayed tumor-nipple enhancement in 12 (4.8%) cancers. On comparing early and delayed enhancement, 43.2% (16/37) of early tumor-nipple enhancements showed NAC involvement while 25.0% (3/12) of delayed tumor-nipple enhancements showed NAC involvement (P = 0.323). On multivariate analysis, tumor-nipple enhancement (P = 0.004) and tumor-nipple distance with 2 cm cut-off (P = 0.044) were significant. The area under the receiver-operating-characteristic curve (AUC) of early tumor-nipple enhancement was significantly higher (0.787) than that of delayed tumor-nipple enhancement (0.542, P = 0.001). The AUC was the highest when any kind of tumor-nipple enhancement was combined with a tumor-nipple distance of 1 cm (0.878).
CONCLUSIONS: Tumor-nipple enhancement and tumor-nipple distance on MRI could predict NAC involvement in breast cancer. When enhancement was evaluated on both early and delayed phase images with a combined tumor-nipple distance of ≤1 cm, the prediction of NAC involvement showed the best performance.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Breast cancer; Diagnosis; MRI; Nipple-areolar-complex

Mesh:

Substances:

Year:  2019        PMID: 31775081     DOI: 10.1016/j.ejrad.2019.108754

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  2 in total

1.  MIP image derived from abbreviated breast MRI: potential to reduce unnecessary sub-nipple biopsies during nipple-sparing mastectomy for breast cancer.

Authors:  Zhuangsheng Liu; Xiaoping Li; Bao Feng; Changlin Li; Yehang Chen; Lilei Yi; Zhiwei Li; Ronggang Li; Wansheng Long
Journal:  Eur Radiol       Date:  2020-11-27       Impact factor: 5.315

2.  Tumor-Nipple Distance of ≥ 1 cm Predicts Negative Nipple Pathology After Neoadjuvant Chemotherapy.

Authors:  Tracy-Ann Moo; Carolina Rossi Saccarelli; Elizabeth J Sutton; Varadan Sevilimedu; Kate R Pawloski; Timothy M D'Alfonso; Mary C Hughes; Jill S Gluskin; Almir Bitencourt; Elizabeth A Morris; Audree Tadros; Monica Morrow; Mary L Gemignani; Virgilio Sacchini
Journal:  Ann Surg Oncol       Date:  2021-04-17       Impact factor: 4.339

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.