Literature DB >> 26423158

Can preoperative 3-T MRI predict nipple-areolar complex involvement in patients with breast cancer?

Jooyeon Cho1, Jin Chung2, Eun-Suk Cha1, Jee Eun Lee1, Jeoung Hyun Kim1.   

Abstract

PURPOSE: To evaluate the diagnostic performances of preoperative 3-T breast MRI for predicting nipple-areolar complex (NAC) involvement.
MATERIALS AND METHODS: We analyzed the predictors of NAC involvement in breast cancer, with diagnostic performances.
RESULTS: Among the 403 patients, 43 cases were surgically confirmed for NAC involvement. For predicting NAC involvement, sensitivity, specificity, positive predictive value, negative predictive value, and accuracy were 60.5%, 87.5%, 36.6%, 94.9%, and 84.6%, respectively. Continuity to NAC, unilateral enhancement of NAC and thickening of NAC were significant magnetic resonance findings predictive of NAC involvement.
CONCLUSIONS: Preoperative 3-T breast MRI is a useful method to predict NAC involvement in breast cancer patients.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  3 T; Breast; Breast MRI; Breast cancer; Nipple–areolar complex

Mesh:

Year:  2015        PMID: 26423158     DOI: 10.1016/j.clinimag.2015.08.002

Source DB:  PubMed          Journal:  Clin Imaging        ISSN: 0899-7071            Impact factor:   1.605


  5 in total

1.  Use of preoperative mammography, ultrasonography, and MRI to predict nipple areolar complex involvement in breast cancer.

Authors:  Soyeoun Lim; Gyeongmin Park; Hye-Jeong Choi; Woon Jung Kwon; Byeong Seong Kang; Minseo Bang
Journal:  Br J Radiol       Date:  2019-08-13       Impact factor: 3.039

2.  Takeaways from Pre-Contrast T1 and T2 Breast Magnetic Resonance Imaging in Women with Recently Diagnosed Breast Cancer.

Authors:  Seung Hee Han; Yeong Yi An; Bong Joo Kang; Sung Hun Kim; Eun Jae Lee
Journal:  Iran J Radiol       Date:  2016-07-18       Impact factor: 0.212

3.  Role of breast magnetic resonance imaging in predicting malignant invasion of the nipple-areolar complex: Potential predictors and reliability between inter-observers.

Authors:  Chiung-Ying Liao; Yu-Ting Wu; Wen-Pei Wu; Chih-Jung Chen; Hwa-Koon Wu; Ying-Jen Lin; Shou-Tung Chen; Dar-Ren Chen; Chi-Wei Lee; Shu-Ling Chen; Shou-Jen Kuo; Hung-Wen Lai
Journal:  Medicine (Baltimore)       Date:  2017-07       Impact factor: 1.889

4.  Comparison of the Magnetic Resonance Imaging Findings of Paget's Disease of the Breast and Malignant Tumor Invasion of the Nipple-Areola Complex.

Authors:  Almila Coşkun Bilge; Hale Aydın; Işıl Esen Bostancı; Özge Tanişman; Diba Saygılı Öz
Journal:  Eur J Breast Health       Date:  2021-06-24

5.  Clinical value of delayed 18F-FDG PET/CT for predicting nipple-areolar complex involvement in breast cancer: A comparison with clinical symptoms and breast MRI.

Authors:  Jang Yoo; Bom Sahn Kim; Jin Chung; Hai-Jeon Yoon
Journal:  PLoS One       Date:  2018-09-12       Impact factor: 3.240

  5 in total

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