Breast fat volume measurement using wide-bore 3 T MRI: comparison of traditional mammographic density evaluation with MRI density measurements using automatic segmentation

Petridou, Elia; Kibiro, Minnie; Gladwell, Christina; Malcolm, Paul; Toms, Andoni P.; Juette, Arne; Borga, Magnus; Leinhard, Olof Dahlqvist; Romu, Thobias; Kasmai, Bahman; Denton, Erika R. E.

doi:10.1016/j.crad.2017.02.014

Cited by 10 publications

(11 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The LTF ratio has been shown to be a variable that strongly correlate with the categorical BI-RADS classification of breast density. 49 The lean and total volumes were computed based on manual whole-breast segmentation of quantitative water-fat MRI images. The quantitative fat images were computed by calibrating the original fat images using adipose tissue as an internal intensity reference, thus, allowing adipose tissue volume to be quantified within segmentation.…”

Section: Quantification Of Lean Tissue Fraction Using Mrimentioning

confidence: 99%

Dense breast tissue in postmenopausal women is associated with a pro-inflammatory microenvironment in vivo

et al. 2016

View full text Add to dashboard Cite

Inflammation is one of the hallmarks of carcinogenesis. High mammographic density has been associated with increased risk of breast cancer but the mechanisms behind are poorly understood. We evaluated whether breasts with different mammographic densities exhibited differences in the inflammatory microenvironment.Postmenopausal women attending the mammography-screening program were assessed having extreme dense, n D 20, or entirely fatty breasts (nondense), n D 19, on their regular mammograms. Thereafter, the women were invited for magnetic resonance imaging (MRI), microdialysis for the collection of extracellular molecules in situ and a core tissue biopsy for research purposes. On the MRI, lean tissue fraction (LTF) was calculated for a continuous measurement of breast density. LTF confirmed the selection from the mammograms and gave a continuous measurement of breast density. Microdialysis revealed significantly increased extracellular in vivo levels of IL-6, IL-8, vascular endothelial growth factor, and CCL5 in dense breast tissue as compared with nondense breasts. Moreover, the ratio IL-1Ra/IL-1b was decreased in dense breasts. No differences were found in levels of IL1b, IL-1Ra, CCL2, leptin, adiponectin, or leptin:adiponectin ratio between the two breast tissue types. Significant positive correlations between LTF and the pro-inflammatory cytokines as well as between the cytokines were detected. Stainings of the core biopsies exhibited increased levels of immune cells in dense breast tissue.Our data show that dense breast tissue in postmenopausal women is associated with a pro-inflammatory microenvironment and, if confirmed in a larger cohort, suggests novel targets for prevention therapies for women with dense breast tissue.

show abstract

Section: Quantification Of Lean Tissue Fraction Using Mrimentioning

confidence: 99%

Dense breast tissue in postmenopausal women is associated with a pro-inflammatory microenvironment in vivo

et al. 2016

View full text Add to dashboard Cite

show abstract

“…This suggests that portable NMR could potentially complement other nonionizing techniques measuring breast density‐equivalent quantities: ultrasound, bioimpedance, transillumination, and MRI . Magnetic resonance in general, and portable NMR in particular, appear promising for quantification of MD because of the great signal editing flexibility offered by MR. Multisequence clinical MRI followed by automatic segmentation has been used for quantification of fibroglandular breast tissue (FGT) content, with the conclusion that MRI “provides a reproducible assessment of the proportion of FGT, which correlates well with mammographic assessment of breast density [based on Breast Imaging Reporting and Data System (BI‐RADS)].” The MRI‐based volumetric breast density measurements, using semiautomated or fully automated clustering or segmentation algorithms, have shown good agreement with conventional MD measurements in multiple studies . Portable NMR offers the ability to quantify tissue spin‐relaxation and diffusion properties, which have been shown to provide reliable quantification of MD in conventional breast MRI.…”

Section: Introductionmentioning

confidence: 99%

Transverse relaxation‐based assessment of mammographic density and breast tissue composition by single‐sided portable NMR

Ali

Tourell

Hugo

et al. 2019

Magnetic Resonance in Med

View full text Add to dashboard Cite

Purpose: Elevated mammographic density (MD) is an independent risk factor for breast cancer (BC) as well as a source of masking in X-ray mammography.High-frequency longitudinal monitoring of MD could also be beneficial in hormonal BC prevention, where early MD changes herald the treatment's success. We present a novel approach to quantification of MD in breast tissue using single-sided portable NMR. Its development was motivated by the low cost of portable-NMR instrumentation, the suitability for measurements in vivo, and the absence of ionizing radiation. Methods: Five breast slices were obtained from three patients undergoing prophylactic mastectomy or breast reduction surgery. Carr-Purcell-Meiboom-Gill (CPMG) relaxation curves were measured from (1) regions of high and low MD (HMD and LMD, respectively) in the full breast slices; (2) the same regions excised from the full slices; and (3) excised samples after H 2 O-D 2 O replacement. T 2 distributions were reconstructed from the CPMG decays using inverse Laplace transform. Results: Two major peaks, identified as fat and water, were consistently observed in the T 2 distributions of HMD regions. The LMD T 2 distributions were dominated by the fat peak. The relative areas of the two peaks exhibited statistically significant (P < .005) differences between HMD and LMD regions, enabling their classification as HMD or LMD. The relative-area distributions exhibited no statistically significant differences between full slices and excised samples. Conclusion: T 2 -based portable-NMR analysis is a novel approach to MD quantification. The ability to quantify tissue composition, combined with the low cost of instrumentation, make this approach promising for clinical applications. 1200 | ALI et AL. K E Y W O R D S breast cancer, mammographic density, NMR-MOUSE, nuclear magnetic resonance, single-sided portable NMR, transverse spin relaxation time constant (T 2 )

show abstract

“…The categories for assessing the amount of FGT of breasts from MRI parallel those applied in MBD, i.e., almost entirely fat, scattered FGT, heterogeneous FGT, and extreme FGT. However, subjective visual estimation of FGT with MRI has revealed only moderate intra-/inter-rater agreement [17,18].…”

Section: Introductionmentioning

confidence: 99%

Quantitative Volumetric K-Means Cluster Segmentation of Fibroglandular Tissue and Skin in Breast MRI

et al. 2017

View full text Add to dashboard Cite

Mammographic breast density (MBD) is the most commonly used method to assess the volume of fibroglandular tissue (FGT). However, MRI could provide a clinically feasible and more accurate alternative. There were three aims in this study: (1) to evaluate a clinically feasible method to quantify FGT with MRI, (2) to assess the inter-rater agreement of MRI-based volumetric measurements and (3) to compare them to measurements acquired using digital mammography and 3D tomosynthesis. This retrospective study examined 72 women (mean age 52.4 ± 12.3 years) with 105 disease-free breasts undergoing diagnostic 3.0-T breast MRI and either digital mammography or tomosynthesis. Two observers analyzed MRI images for breast and FGT volumes and FGT-% from T1-weighted images (0.7-, 2.0-, and 4.0-mm-thick slices) using K-means clustering, data from histogram, and active contour algorithms. Reference values were obtained with Quantra software. Inter-rater agreement for MRI measurements made with 2-mm-thick slices was excellent: for FGT-%, r = 0.994 (95% CI 0.990-0.997); for breast volume, r = 0.985 (95% CI 0.934-0.994); and for FGT volume, r = 0.979 (95% CI 0.958-0.989). MRI-based FGT-% correlated strongly with MBD in mammography (r = 0.819-0.904, P < 0.001) and moderately to high with MBD in tomosynthesis (r = 0.630-0.738, P < 0.001). K-means clustering-based assessments of the proportion of the fibroglandular tissue in the breast at MRI are highly reproducible. In the future, quantitative assessment of FGT-% to complement visual estimation of FGT should be performed on a more regular basis as it provides a component which can be incorporated into the individual's breast cancer risk stratification.

show abstract

Breast fat volume measurement using wide-bore 3 T MRI: comparison of traditional mammographic density evaluation with MRI density measurements using automatic segmentation

Cited by 10 publications

References 22 publications

Dense breast tissue in postmenopausal women is associated with a pro-inflammatory microenvironment in vivo

Dense breast tissue in postmenopausal women is associated with a pro-inflammatory microenvironment in vivo

Transverse relaxation‐based assessment of mammographic density and breast tissue composition by single‐sided portable NMR

Quantitative Volumetric K-Means Cluster Segmentation of Fibroglandular Tissue and Skin in Breast MRI

Contact Info

Product

Resources

About