Literature DB >> 27195438

Pretreatment MR Imaging Features of Triple-Negative Breast Cancer: Association with Response to Neoadjuvant Chemotherapy and Recurrence-Free Survival.

Min Sun Bae1, Sung Ui Shin1, Han Suk Ryu1, Wonshik Han1, Seock-Ah Im1, In-Ae Park1, Dong-Young Noh1, Woo Kyung Moon1.   

Abstract

Purpose To investigate whether pretreatment breast magnetic resonance (MR) imaging features are associated with pathologic complete response (PCR) and recurrence-free survival after neoadjuvant chemotherapy (NAC) in patients with triple-negative breast cancer. Materials and Methods Identified were 132 patients with primary triple-negative breast cancers who underwent NAC and pretreatment MR imaging between 2004 and 2010. Three breast radiologists independently reviewed the MR images based on the 2013 Breast Imaging Reporting and Data System lexicon. Presence of intratumoral high signal intensity and peritumoral edema on T2-weighted images was also evaluated. Association of PCR and recurrence-free survival with MR imaging features was assessed by using logistic regression and Cox regression. Bonferroni correction was applied to the P values. Results Among 132 patients, 18 (14%) underwent PCR. Round or oval masses (odds ratio, 3.5 [95% confidence interval: 1.3, 9.7]; P = .02), the absence of intratumoral T2 high signal intensity (odds ratio, 3.8 [95% confidence interval: 1.3, 11.0]; P = .01), and the absence of peritumoral edema (odds ratio, 3.4 [95% confidence interval: 1.2, 9.5]; P = .02) were associated with PCR, but not significantly. After 54 months of median follow-up, there were 41 (31% [41 of 132]) breast cancer recurrences. Peritumoral edema was the only significant variable associated with worse recurrence-free survival (hazard ratio, 4.9 [95% confidence interval: 1.9, 12.6]; P = .001). Conclusion Pretreatment MR imaging features may be associated with PCR and recurrence-free survival in patients with triple-negative breast cancer. © RSNA, 2016 Online supplemental material is available for this article.

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Year:  2016        PMID: 27195438     DOI: 10.1148/radiol.2016152331

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  25 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

Review 2.  Clinical role of breast MRI now and going forward.

Authors:  D Leithner; G J Wengert; T H Helbich; S Thakur; R E Ochoa-Albiztegui; E A Morris; K Pinker
Journal:  Clin Radiol       Date:  2017-12-09       Impact factor: 2.350

3.  A pre-operative MRI-based brain metastasis risk-prediction model for triple-negative breast cancer.

Authors:  Xiaojie Cheng; Liang Xia; Suguang Sun
Journal:  Gland Surg       Date:  2021-09

4.  Multivariable Models Based on Baseline Imaging Features and Clinicopathological Characteristics to Predict Breast Pathologic Response after Neoadjuvant Chemotherapy in Patients with Breast Cancer.

Authors:  Peixian Chen; Chuan Wang; Ruiliang Lu; Ruilin Pan; Lewei Zhu; Dan Zhou; Guolin Ye
Journal:  Breast Care (Basel)       Date:  2021-12-23       Impact factor: 2.268

5.  Optimizing the Peritumoral Region Size in Radiomics Analysis for Sentinel Lymph Node Status Prediction in Breast Cancer.

Authors:  Jie Ding; Shenglan Chen; Mario Serrano Sosa; Renee Cattell; Lan Lei; Junqi Sun; Prateek Prasanna; Chunling Liu; Chuan Huang
Journal:  Acad Radiol       Date:  2020-11-05       Impact factor: 5.482

Review 6.  Tumor necrosis by pretreatment breast MRI: association with neoadjuvant systemic therapy (NAST) response in triple-negative breast cancer (TNBC).

Authors:  Abeer H Abdelhafez; Benjamin C Musall; Wei T Yang; Gaiane M Rauch; Beatriz E Adrada; KennethR Hess; Jong Bum Son; Ken-Pin Hwang; Rosalind P Candelaria; Lumarie Santiago; Gary J Whitman; Huong T Le-Petross; Tanya W Moseley; Elsa Arribas; Deanna L Lane; Marion E Scoggins; Jessica W T Leung; Hagar S Mahmoud; Jason B White; Elizabeth E Ravenberg; Jennifer K Litton; Vicente Valero; Peng Wei; Alastair M Thompson; Stacy L Moulder; Mark D Pagel; Jingfei Ma
Journal:  Breast Cancer Res Treat       Date:  2020-09-13       Impact factor: 4.872

7.  Integrated 18F-FDG PET/MRI in breast cancer: early prediction of response to neoadjuvant chemotherapy.

Authors:  Nariya Cho; Seock-Ah Im; Gi Jeong Cheon; In-Ae Park; Kyung-Hun Lee; Tae-Yong Kim; Young Seon Kim; Bo Ra Kwon; Jung Min Lee; Hoon Young Suh; Koung Jin Suh
Journal:  Eur J Nucl Med Mol Imaging       Date:  2017-11-04       Impact factor: 9.236

8.  Intratumoral Spatial Heterogeneity at Perfusion MR Imaging Predicts Recurrence-free Survival in Locally Advanced Breast Cancer Treated with Neoadjuvant Chemotherapy.

Authors:  Jia Wu; Guohong Cao; Xiaoli Sun; Juheon Lee; Daniel L Rubin; Sandy Napel; Allison W Kurian; Bruce L Daniel; Ruijiang Li
Journal:  Radiology       Date:  2018-05-01       Impact factor: 11.105

9.  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

10.  Features from MRI texture analysis associated with survival outcomes in triple-negative breast cancer patients.

Authors:  Saki Kamiya; Hiroko Satake; Yoko Hayashi; Satoko Ishigaki; Rintaro Ito; Mariko Kawamura; Toshiaki Taoka; Shingo Iwano; Shinji Naganawa
Journal:  Breast Cancer       Date:  2021-09-16       Impact factor: 4.239

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