Quantitative measurements of breast density using magnetic resonance imaging : a systematic review and meta-analysis

Rooa, Sindi (Discipline of Medical Radiation Sciences, School of Molecular and Life Sciences, Curtin University, Perth, Australia) ; Sá Dos Reis, Cláudia (HESAV School of Health Sciences, HES-SO University of Applied Sciences and Arts Western Switzerland) ; Bennett, Colleen (Discipline of Medical Radiation Sciences, School of Molecular and Life Sciences, Curtin University, Perth, Australia) ; Stevenson, Gil (Real Statistics, Bangor, County Down, Northern Ireland, UK) ; Sun, Zhonghua (Discipline of Medical Radiation Sciences, School of Molecular and Life Sciences, Curtin University, Perth, Australia)

Breast density, a measure of dense fibroglandular tissue relative to non-dense fatty tissue, is confirmed as an independent risk factor of breast cancer. Although there has been an increasing interest in the quantitative assessment of breast density, no research has investigated the optimal technical approach of breast MRI in this aspect. Therefore, we performed a systematic review and meta-analysis to analyze the current studies on quantitative assessment of breast density using MRI and to determine the most appropriate technical/operational protocol. Databases (PubMed, EMBASE, ScienceDirect, and Web of Science) were searched systematically for eligible studies. Single arm meta-analysis was conducted to determine quantitative values of MRI in breast density assessments. Combined means with their 95% confidence interval (CI) were calculated using a fixed-effect model. In addition, subgroup meta-analyses were performed with stratification by breast density segmentation/measurement method. Furthermore, alternative groupings based on statistical similarities were identified via a cluster analysis employing study means and standard deviations in a Nearest Neighbor/Single Linkage. A total of 38 studies matched the inclusion criteria for this systematic review. Twenty-one of these studies were judged to be eligible for meta-analysis. The results indicated, generally, high levels of heterogeneity between study means within groups and high levels of heterogeneity between study variances within groups. The studies in two main clusters identified by the cluster analysis were also subjected to meta-analyses. The review confirmed high levels of heterogeneity within the breast density studies, considered to be due mainly to the applications of MR breast-imaging protocols and the use of breast density segmentation/measurement methods. Further research should be performed to determine the most appropriate protocol and method for quantifying breast density using MRI.


Keywords:
Article Type:
scientifique
Faculty:
Santé
Branch:
Technique en radiologie médicale
School:
HESAV
Institute:
Unité de recherche en santé, HESAV
Subject(s):
Santé
Date:
2019-05
Pagination:
20 p.
Published in:
Journal of clinical medicine
Numeration (vol. no.):
May 2019, vol. 8, no. 5, art. 745
DOI:
ISSN:
2077-0383
Appears in Collection:



 Record created 2019-07-12, last modified 2019-10-18

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