Literature DB >> 28185146

MR imaging features associated with distant metastasis-free survival of patients with invasive breast cancer: a case-control study.

Sung Eun Song1,2, Sung Ui Shin1, Hyeong-Gon Moon3, Han Suk Ryu4, Kwangsoo Kim5, Woo Kyung Moon6.   

Abstract

PURPOSE: Preoperative breast magnetic resonance (MR) imaging features of primary breast cancers may have the potential to act as prognostic biomarkers by providing morphologic and kinetic features representing inter- or intra-tumor heterogeneity. Recent radiogenomic studies reveal that several radiologist-annotated image features are associated with genes or signal pathways involved in tumor progression, treatment resistance, and distant metastasis (DM). We investigate whether preoperative breast MR imaging features are associated with worse DM-free survival in patients with invasive breast cancer.
METHODS: Of the 3536 patients with primary breast cancers who underwent preoperative MR imaging between 2003 and 2009, 147 patients with DM were identified and one-to-one matched with control patients (n = 147) without DM according to clinical-pathologic variables. Three radiologists independently reviewed the MR images of 294 patients, and the association of DM-free survival with MR imaging and clinical-pathologic features was assessed using Cox proportional hazard models.
RESULTS: Of MR imaging features, rim enhancement (hazard ratio [HR], 1.83 [95% confidence interval, CI 1.29, 2.51]; p = 0.001) and peritumoral edema (HR, 1.48 [95% CI 1.03, 2.11]; p = 0.032) were the significant features associated with worse DM-free survival. The significant MR imaging features, however, were different between breast cancer subtypes and stages.
CONCLUSION: Preoperative breast MR imaging features of rim enhancement and peritumoral edema may be used as prognostic biomarkers that help predict DM risk in patients with breast cancer, thereby potentially enabling improved personalized treatment and monitoring strategies for individual patients.

Entities:  

Keywords:  Breast cancer; Magnetic resonance imaging; Neoplasm metastasis; Prognosis

Mesh:

Year:  2017        PMID: 28185146     DOI: 10.1007/s10549-017-4143-6

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  10 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.  Association of distant recurrence-free survival with algorithmically extracted MRI characteristics in breast cancer.

Authors:  Maciej A Mazurowski; Ashirbani Saha; Michael R Harowicz; Elizabeth Hope Cain; Jeffrey R Marks; P Kelly Marcom
Journal:  J Magn Reson Imaging       Date:  2019-01-22       Impact factor: 4.813

3.  A retrospective review of MRI features associated with metastasis-free survival in women with breast cancer: focusing on skin thickening and skin enhancement.

Authors:  Valentine Mberu; Jennifer McFarlane; E Jane Macaskill; Andrew Evans
Journal:  Br J Radiol       Date:  2021-10-05       Impact factor: 3.039

4.  Correlation between contrast-enhanced cone-beam breast computed tomography features and prognostic staging in breast cancer.

Authors:  Wei-Mei Ma; Jiao Li; Shuang-Gang Chen; Pei-Qiang Cai; Shen Chen; Jie-Ting Chen; Chun-Yan Zhou; Ni He; Yaopan Wu
Journal:  Br J Radiol       Date:  2022-01-07       Impact factor: 3.629

5.  Three-dimensional radiomics of triple-negative breast cancer: Prediction of systemic recurrence.

Authors:  Jieun Koh; Eunjung Lee; Kyunghwa Han; Sujeong Kim; Dong-Kyu Kim; Jin Young Kwak; Jung Hyun Yoon; Hee Jung Moon
Journal:  Sci Rep       Date:  2020-02-19       Impact factor: 4.379

6.  Prediction for Distant Metastasis of Breast Cancer Using Dynamic Contrast-Enhanced Magnetic Resonance Imaging Images under Deep Learning.

Authors:  Li Li; Hongzhe Tian; Baorong Zhang; Weijun Wang; Bo Li
Journal:  Comput Intell Neurosci       Date:  2022-06-08

7.  Radiologic-pathologic correlation in breast cancer: do MRI biomarkers correlate with pathologic features and molecular subtypes?

Authors:  Francesca Galati; Veronica Rizzo; Giuliana Moffa; Claudia Caramanico; Endi Kripa; Bruna Cerbelli; Giulia D'Amati; Federica Pediconi
Journal:  Eur Radiol Exp       Date:  2022-08-08

8.  Correlation between MR Image-Based Radiomics Features and Risk Scores Associated with Gene Expression Profiles in Breast Cancer.

Authors:  Ga Ram Kim; You Jin Ku; Jun Ho Kim; Eun-Kyung Kim
Journal:  Taehan Yongsang Uihakhoe Chi       Date:  2020-05-29

9.  MRI Radiomic Features: Association with Disease-Free Survival in Patients with Triple-Negative Breast Cancer.

Authors:  Sungwon Kim; Min Jung Kim; Eun-Kyung Kim; Jung Hyun Yoon; Vivian Youngjean Park
Journal:  Sci Rep       Date:  2020-02-28       Impact factor: 4.379

10.  Peritumoral edema in breast cancer at preoperative MRI: an interpretative study with histopathological review toward understanding tumor microenvironment.

Authors:  Nora Jee-Young Park; Ji Yun Jeong; Ji Young Park; Hye Jung Kim; Chan Sub Park; Jeeyeon Lee; Ho Yong Park; Jin Hyang Jung; Wan Wook Kim; Yee Soo Chae; Soo Jung Lee; Won Hwa Kim
Journal:  Sci Rep       Date:  2021-06-21       Impact factor: 4.379

  10 in total

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