Literature DB >> 33614481

Background Parenchymal Enhancement on Breast MRI as a Prognostic Surrogate: Correlation With Breast Cancer Oncotype Dx Score.

Michelle Zhang1,2, Meredith Sadinski1, Dana Haddad1,3,4,5, Min Sun Bae1,6, Danny Martinez1, Elizabeth A Morris1, Peter Gibbs1, Elizabeth J Sutton1.   

Abstract

PURPOSE: Breast MRI background parenchymal enhancement (BPE) can potentially serve as a prognostic marker, by possible correlation with molecular subtype. Oncotype Dx, a gene assay, is a prognostic and predictive surrogate for tumor aggressiveness and treatment response. The purpose of this study was to investigate the association between contralateral non-tumor breast magnetic resonance imaging (MRI) background parenchymal enhancement and tumor oncotype score.
METHODS: In this retrospective study, patients with ER+ and HER2- early stage invasive ductal carcinoma who underwent preoperative breast MRI, oncotype risk scoring, and breast conservation surgery from 2008-2010 were identified. After registration, BPE from the pre and three post-contrast phases was automatically extracted using a k-means clustering algorithm. Four metrics were calculated: initial enhancement (IE) relative to the pre-contrast signal, late enhancement, overall enhancement (OE), and area under the enhancement curve (AUC). Histogram analysis was performed to determine first order metrics which were compared to oncotype risk score groups using Mann-Whitney tests and Spearman rank correlation analysis.
RESULTS: This study included 80 women (mean age = 51.1 ± 10.3 years); 46 women were categorized as low risk (≤17) and 34 women were categorized as intermediate/high risk (≥18) according to Oncotype Dx. For the mean of the top 10% pixels, significant differences were noted for IE (p = 0.032), OE (p = 0.049), and AUC (p = 0.044). Using the risk score as a continuous variable, correlation analysis revealed a weak but significant correlation with the mean of the top 10% pixels for IE (r = 0.26, p = 0.02), OE (r = 0.25, p = 0.02), and AUC (r = 0.27, p = 0.02).
CONCLUSION: BPE metrics of enhancement in the non-tumor breast are associated with tumor Oncotype Dx recurrence score, suggesting that the breast microenvironment may relate to likelihood of recurrence and magnitude of chemotherapy benefit.
Copyright © 2021 Zhang, Sadinski, Haddad, Bae, Martinez, Morris, Gibbs and Sutton.

Entities:  

Keywords:  background parenchymal enhancement; breast cancer; magnetic resonance imaging; oncotype; risk score

Year:  2021        PMID: 33614481      PMCID: PMC7890019          DOI: 10.3389/fonc.2020.595820

Source DB:  PubMed          Journal:  Front Oncol        ISSN: 2234-943X            Impact factor:   6.244


  25 in total

1.  Background parenchymal signal enhancement ratio at preoperative MR imaging: association with subsequent local recurrence in patients with ductal carcinoma in situ after breast conservation surgery.

Authors:  Sun-Ah Kim; Nariya Cho; Eun Bi Ryu; Mirinae Seo; Min Sun Bae; Jung Min Chang; Woo Kyung Moon
Journal:  Radiology       Date:  2013-10-28       Impact factor: 11.105

2.  Radiogenomic analysis of breast cancer: luminal B molecular subtype is associated with enhancement dynamics at MR imaging.

Authors:  Maciej A Mazurowski; Jing Zhang; Lars J Grimm; Sora C Yoon; James I Silber
Journal:  Radiology       Date:  2014-07-15       Impact factor: 11.105

3.  Association between Parenchymal Enhancement of the Contralateral Breast in Dynamic Contrast-enhanced MR Imaging and Outcome of Patients with Unilateral Invasive Breast Cancer.

Authors:  Bas H M van der Velden; Ivan Dmitriev; Claudette E Loo; Ruud M Pijnappel; Kenneth G A Gilhuijs
Journal:  Radiology       Date:  2015-03-26       Impact factor: 11.105

4.  Breast cancer subtype intertumor heterogeneity: MRI-based features predict results of a genomic assay.

Authors:  Elizabeth J Sutton; Jung Hun Oh; Brittany Z Dashevsky; Harini Veeraraghavan; Aditya P Apte; Sunitha B Thakur; Joseph O Deasy; Elizabeth A Morris
Journal:  J Magn Reson Imaging       Date:  2015-04-07       Impact factor: 4.813

5.  Background parenchymal enhancement: is it just an innocent effect of estrogen on the breast?

Authors:  Gözde Arslan; Levent Çelik; Rahmi Çubuk; Levent Çelik; Mehmet Mahir Atasoy
Journal:  Diagn Interv Radiol       Date:  2017 Nov-Dec       Impact factor: 2.630

6.  Impact of Oncotype DX breast Recurrence Score testing on adjuvant chemotherapy use in early breast cancer: Real world experience in Greater Manchester, UK.

Authors:  J Loncaster; A Armstrong; S Howell; G Wilson; R Welch; A Chittalia; W J Valentine; N J Bundred
Journal:  Eur J Surg Oncol       Date:  2017-01-09       Impact factor: 4.424

7.  Prognostic and predictive value of the 21-gene recurrence score assay in postmenopausal women with node-positive, oestrogen-receptor-positive breast cancer on chemotherapy: a retrospective analysis of a randomised trial.

Authors:  Kathy S Albain; William E Barlow; Steven Shak; Gabriel N Hortobagyi; Robert B Livingston; I-Tien Yeh; Peter Ravdin; Roberto Bugarini; Frederick L Baehner; Nancy E Davidson; George W Sledge; Eric P Winer; Clifford Hudis; James N Ingle; Edith A Perez; Kathleen I Pritchard; Lois Shepherd; Julie R Gralow; Carl Yoshizawa; D Craig Allred; C Kent Osborne; Daniel F Hayes
Journal:  Lancet Oncol       Date:  2009-12-10       Impact factor: 41.316

8.  Assessment of Background Parenchymal Enhancement and Lesion Kinetics in Breast MRI of BRCA 1/2 Mutation Carriers Compared to Matched Controls Using Quantitative Kinetic Analysis.

Authors:  Alana A Lewin; Sungheon Gene Kim; James S Babb; Amy N Melsaether; Jason McKellop; Melanie Moccaldi; Ana Paula Klautau Leite; Linda Moy
Journal:  Acad Radiol       Date:  2016-01-07       Impact factor: 3.173

9.  Adjuvant Chemotherapy Guided by a 21-Gene Expression Assay in Breast Cancer.

Authors:  Joseph A Sparano; Robert J Gray; Della F Makower; Kathleen I Pritchard; Kathy S Albain; Daniel F Hayes; Charles E Geyer; Elizabeth C Dees; Matthew P Goetz; John A Olson; Tracy Lively; Sunil S Badve; Thomas J Saphner; Lynne I Wagner; Timothy J Whelan; Matthew J Ellis; Soonmyung Paik; William C Wood; Peter M Ravdin; Maccon M Keane; Henry L Gomez Moreno; Pavan S Reddy; Timothy F Goggins; Ingrid A Mayer; Adam M Brufsky; Deborah L Toppmeyer; Virginia G Kaklamani; Jeffrey L Berenberg; Jeffrey Abrams; George W Sledge
Journal:  N Engl J Med       Date:  2018-06-03       Impact factor: 91.245

10.  DCE-MRI Background Parenchymal Enhancement Quantified from an Early versus Delayed Post-contrast Sequence: Association with Breast Cancer Presence.

Authors:  Shandong Wu; Margarita L Zuley; Wendie A Berg; Brenda F Kurland; Rachel C Jankowitz; Jules H Sumkin; David Gur
Journal:  Sci Rep       Date:  2017-05-18       Impact factor: 4.379

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