Literature DB >> 23341125

Is evaluation of the presence of prepectoral edema on T2-weighted with fat-suppression 3 T breast MRI a simple and readily available noninvasive technique for estimation of prognosis in patients with breast cancer?

Takayoshi Uematsu1, Masako Kasami, Junichiro Watanabe.   

Abstract

BACKGROUND: The specificity of breast MRI is only moderate. The unsatisfactory specificity of breast MRI has prompted evaluation of high signal intensity (SI) on T2-weighted imaging (T2WI). The purpose of the study was to investigate the prevalence of prepectoral edema determined using high SI on T2WI with fat-suppression 3 T MRI and to correlate its presence with prognostic factors of breast cancer.
METHODS: The retrospective study comprised 589 consecutive histopathologically confirmed lesions, 460 malignant and 129 benign, identified by 3 T MRI. Presence of prepectoral edema was evaluated on T2WI with fat suppression, and its diagnostic value for malignancies and correlation with clinicopathological findings in histopathologically confirmed breast cancer were assessed.
RESULTS: Prepectoral edema was present in 54 of the 460 breast cancers (9 % of the total 589) and none of the 129 benign lesions. Its sensitivity and specificity were 12 and 100 %, respectively. The positive predictive value was 100 %. Young age (p = 0.01), large tumor size (p < 0.0001), high histological grade (p < 0.0001), invasive ductal carcinoma (p < 0.0001), high lymphovascular invasion degree (p < 0.0001), high axillary lymph node positivity (p < 0.0001), high inflammatory breast cancer rate (p < 0.0001), high neoadjuvant chemotherapy rate (p < 0.0001), and chemoresistant breast cancers (p < 0.0001) were significantly associated with prepectoral edema. There was no association of the morphological lesion type on MRI and dynamic enhancement imaging pattern with the presence of prepectoral edema.
CONCLUSION: Prepectoral edema has low prevalence but is specific for breast cancer and correlated with prognostic factors.

Entities:  

Mesh:

Year:  2013        PMID: 23341125     DOI: 10.1007/s12282-013-0440-z

Source DB:  PubMed          Journal:  Breast Cancer        ISSN: 1340-6868            Impact factor:   4.239


  9 in total

1.  Usefulness of preoperative breast magnetic resonance imaging with a dedicated axillary sequence for the detection of axillary lymph node metastasis in patients with early ductal breast cancer.

Authors:  Hye Shin Ahn; Mijung Jang; Sun Mi Kim; Bo La Yun; Soo Hyun Lee
Journal:  Radiol Med       Date:  2019-08-17       Impact factor: 3.469

2.  Peritumoral apparent diffusion coefficients for prediction of lymphovascular invasion in clinically node-negative invasive breast cancer.

Authors:  Naoko Mori; Shunji Mugikura; Chiaki Takasawa; Minoru Miyashita; Akiko Shimauchi; Hideki Ota; Takanori Ishida; Atsuko kasajima; Kei Takase; Tetsuya Kodama; Shoki Takahashi
Journal:  Eur Radiol       Date:  2015-05-30       Impact factor: 5.315

3.  Kinetic volume analysis on dynamic contrast-enhanced MRI of triple-negative breast cancer: associations with survival outcomes.

Authors:  Yoko Hayashi; Hiroko Satake; Satoko Ishigaki; Rintaro Ito; Mariko Kawamura; Hisashi Kawai; Shingo Iwano; Shinji Naganawa
Journal:  Br J Radiol       Date:  2019-12-16       Impact factor: 3.039

4.  Differential diagnosis of plasma cell mastitis and invasive ductal carcinoma using multiparametric MRI.

Authors:  Rong Chen; Baoquan Hu; Yulong Zhang; Caibao Liu; Lianhua Zhao; Yan Jiang; Yan Xu
Journal:  Gland Surg       Date:  2020-04

5.  Dynamic contrast enhanced-MRI and diffusion-weighted image as predictors of lymphovascular invasion in node-negative invasive breast cancer.

Authors:  Bo Bae Choi
Journal:  World J Surg Oncol       Date:  2021-03-15       Impact factor: 2.754

6.  Effectiveness of ADC Difference Value on Pre-neoadjuvant Chemotherapy MRI for Response Evaluation of Breast Cancer.

Authors:  Bo Bae Choi
Journal:  Technol Cancer Res Treat       Date:  2021 Jan-Dec

Review 7.  The Breast Edema Enigma: Features, Diagnosis, Treatment, and Recommendations.

Authors:  Sarina S Gupta; Harvey N Mayrovitz
Journal:  Cureus       Date:  2022-04-03

Review 8.  The potential of predictive and prognostic breast MRI (P2-bMRI).

Authors:  Francesco Sardanelli; Pascal A T Baltzer; Matthias Dietzel; Rubina Manuela Trimboli; Moreno Zanardo; Rüdiger Schultz-Wendtland; Michael Uder; Paola Clauser
Journal:  Eur Radiol Exp       Date:  2022-08-22

9.  A rim-enhanced mass with central cystic changes on MR imaging: how to distinguish breast cancer from inflammatory breast diseases?

Authors:  Lijun Wang; Dengbin Wang; Xiaochun Fei; Mei Ruan; Weimin Chai; Lin Xu; Xiaoxiao Li
Journal:  PLoS One       Date:  2014-03-05       Impact factor: 3.240

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.