Literature DB >> 31237494

The Association of Background Parenchymal Enhancement at Breast MRI with Breast Cancer: A Systematic Review and Meta-Analysis.

Christopher M Thompson1, Indika Mallawaarachchi1, Durgesh K Dwivedi1, Anoop P Ayyappan1, Navkiran K Shokar1, Rajkumar Lakshmanaswamy1, Alok K Dwivedi1.   

Abstract

BackgroundThe higher level of background parenchymal enhancement (BPE) at breast MRI has the potential for early detection and prediction of the risk of breast cancer. However, conflicting findings have been reported about the association between the level of BPE at breast MRI and the presence of breast cancer.PurposeTo evaluate the association between qualitative and quantitative BPE at dynamic contrast material-enhanced MRI and breast cancer among populations with average risk and high risk separately.Materials and MethodsA retrospective meta-analysis of observational studies comparing either qualitative or quantitative assessments of BPE in women with and women without breast cancer was performed for studies published through July 2018. Pooled odds ratios (ORs) or standardized mean differences and 95% confidence intervals (CIs) were estimated by using DerSimonian-Laird random-effects models. The heterogeneity across the studies was measured by using the statistic I 2. Sensitivity analyses were conducted to test this association according to different study characteristics. P values less than or equal to 5% were considered to indicate statistically significant results.ResultsEighteen studies comprising 1910 women with breast cancer and 2541 control participants were included in the analysis. Among women with high risk, at least moderate BPE (OR, 1.6; 95% CI: 1.0, 2.6; P = .04) or at least mild BPE (OR, 2.1; 95% CI: 1.5, 3.0; P < .001) was associated with higher odds of breast cancer. Furthermore, women with breast cancer showed a higher average BPE percentage compared with control participants with high risk (standardized mean difference, 0.5; 95% CI: 0.2, 0.9; P = .001). No association was observed between at least mild BPE level (P = .15) or at least moderate BPE level (P = .38) and the presence of breast cancer among the population with average risk.ConclusionA higher level of background parenchymal enhancement measured at breast MRI is associated with the presence of breast cancer in women with high risk, but not in women with average risk.© RSNA, 2019Online supplemental material is available for this article.See also the editorial by Mann and Pinker in this issue.

Entities:  

Year:  2019        PMID: 31237494     DOI: 10.1148/radiol.2019182441

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


  9 in total

1.  Breast MRI Background Parenchymal Enhancement Categorization Using Deep Learning: Outperforming the Radiologist.

Authors:  Sarah Eskreis-Winkler; Elizabeth J Sutton; Donna D'Alessio; Katherine Gallagher; Nicole Saphier; Joseph Stember; Danny F Martinez; Elizabeth A Morris; Katja Pinker
Journal:  J Magn Reson Imaging       Date:  2022-02-15       Impact factor: 5.119

2.  Overcoming Barriers in Ductal Carcinoma In Situ Management: From Overtreatment to Optimal Treatment.

Authors:  Jean L Wright; Habib Rahbar; Samilia Obeng-Gyasi; Ruth Carlos; Judy Tjoe; Antonio C Wolff
Journal:  J Clin Oncol       Date:  2021-11-23       Impact factor: 50.717

3.  Advances and Future Directions in Molecular Breast Imaging.

Authors:  Matthew F Covington; Ephraim E Parent; Elizabeth H Dibble; Gaiane M Rauch; Amy M Fowler
Journal:  J Nucl Med       Date:  2021-12-09       Impact factor: 11.082

4.  Background parenchymal enhancement and breast cancer: a review of the emerging evidences about its potential use as imaging biomarker.

Authors:  Rossella Rella; Andrea Contegiacomo; Enida Bufi; Sara Mercogliano; Paolo Belli; Riccardo Manfredi
Journal:  Br J Radiol       Date:  2020-10-15       Impact factor: 3.039

5.  Background parenchymal enhancement on contrast-enhanced spectral mammography does not represent an influencing factor for breast cancer: A preliminary study.

Authors:  Liangliang Yu; Yongtao Wang; Dong Xing; Peiyou Gong; Qianqian Chen; Yongbin Lv
Journal:  Medicine (Baltimore)       Date:  2020-12-24       Impact factor: 1.889

6.  A Comparative Assessment of MR BI-RADS 4 Breast Lesions With Kaiser Score and Apparent Diffusion Coefficient Value.

Authors:  Lingsong Meng; Xin Zhao; Lin Lu; Qingna Xing; Kaiyu Wang; Yafei Guo; Honglei Shang; Yan Chen; Mengyue Huang; Yongbing Sun; Xiaoan Zhang
Journal:  Front Oncol       Date:  2021-12-02       Impact factor: 6.244

7.  A systematic review and meta-analysis of the association between maternal polycystic ovary syndrome and neuropsychiatric disorders in children.

Authors:  Pallavi Dubey; Bhaskar Thakur; Sheryl Rodriguez; Jessika Cox; Sheralyn Sanchez; Anacani Fonseca; Sireesha Reddy; Deborah Clegg; Alok Kumar Dwivedi
Journal:  Transl Psychiatry       Date:  2021-11-08       Impact factor: 6.222

8.  Ipsilateral Recurrence of DCIS in Relation to Radiomics Features on Contrast Enhanced Breast MRI.

Authors:  Ga Eun Park; Sung Hun Kim; Eun Byul Lee; Yoonho Nam; Wonmo Sung
Journal:  Tomography       Date:  2022-03-01

Review 9.  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 in total

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