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Quantitative assessment of background parenchymal enhancement in breast MRI predicts response to risk-reducing salpingo-oophorectomy: preliminary evaluation in a cohort of BRCA1/2 mutation carriers.

Wu S, Weinstein SP, DeLeo MJ, Conant EF, Chen J, Domchek SM, Kontos D - Breast Cancer Res. (2015)

Bottom Line: These pre-RRSO and post-RRSO measures were compared using paired Student's t test.For the 44 women who did not develop breast cancer after RRSO, the absolute volume of BPE and FGT had a significant decrease (P < 0.05) post-RRSO, whereas for the 6 women who developed breast cancer, there were no significant changes in these measures.Higher values in all BPE and FGT measures were also observed post-RRSO for the women who developed breast cancer, compared with women who did not.

View Article: PubMed Central - PubMed

Affiliation: Department of Radiology, Hospital of the University of Pennsylvania, 1 Silverstein Building, 3400 Spruce Street, Philadelphia, PA, 19104, USA. wus3@upmc.edu.

ABSTRACT

Introduction: We present a fully automated method for deriving quantitative measures of background parenchymal enhancement (BPE) from breast dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and perform a preliminary evaluation of these measures to assess the effect of risk-reducing salpingo-oophorectomy (RRSO) in a cohort of breast cancer susceptibility gene 1/2 (BRCA1/2) mutation carriers.

Methods: Breast DCE-MRI data from 50 BRCA1/2 carriers were retrospectively analyzed in compliance with the Health Insurance Portability and Accountability Act and with institutional review board approval. Both the absolute (/ /) and relative (%) measures of BPE and fibroglandular tissue (FGT) were computed from the MRI scans acquired before and after RRSO. These pre-RRSO and post-RRSO measures were compared using paired Student's t test. The area under the curve (AUC) of the receiver operating characteristic (ROC) was used to evaluate the performance of relative changes in the BPE and FGT measures in predicting breast cancer that developed in these women after the RRSO surgery.

Results: For the 44 women who did not develop breast cancer after RRSO, the absolute volume of BPE and FGT had a significant decrease (P < 0.05) post-RRSO, whereas for the 6 women who developed breast cancer, there were no significant changes in these measures. Higher values in all BPE and FGT measures were also observed post-RRSO for the women who developed breast cancer, compared with women who did not. Relative changes in BPE percentage were most predictive of women who developed breast cancer after RRSO (P < 0.05), whereas combining BPE percentage and /FGT/ yielded an AUC of 0.80, higher than BPE percentage (AUC = 0.78) or /FGT/ (AUC = 0.66) alone (both P > 0.02).

Conclusions: Quantitative measures of BPE and FGT are different before and after RRSO, and their relative changes are associated with prediction of developing breast cancer, potentially indicative of women who are more susceptible to develop breast cancer after RRSO in BRCA1/2 mutation carriers.

No MeSH data available.


Related in: MedlinePlus

Illustration of our fully automated computer algorithm for quantifying magnetic resonance imaging (MRI) background parenchymal enhancement (BPE) and fibroglandular tissue (FGT). Representative 2D and 3D tissue segmentations in selected breast MRI scans are shown. a A breast MRI slice of the T1-weighted sequence. b Segmentation of the whole breast (red contour) and FGT (green contour). c 3D display of FGT (green) relative to the whole breast (red). d This dynamic contrast-enhanced MRI subtraction (SUB) image corresponds to the T1 slice shown in (a). e BPE (purple contour) estimated over the FGT area in the SUB image. f 3D display of BPE (purple), FGT (green), and whole breast (red)
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Fig1: Illustration of our fully automated computer algorithm for quantifying magnetic resonance imaging (MRI) background parenchymal enhancement (BPE) and fibroglandular tissue (FGT). Representative 2D and 3D tissue segmentations in selected breast MRI scans are shown. a A breast MRI slice of the T1-weighted sequence. b Segmentation of the whole breast (red contour) and FGT (green contour). c 3D display of FGT (green) relative to the whole breast (red). d This dynamic contrast-enhanced MRI subtraction (SUB) image corresponds to the T1 slice shown in (a). e BPE (purple contour) estimated over the FGT area in the SUB image. f 3D display of BPE (purple), FGT (green), and whole breast (red)

Mentions: A total of four quantitative measures were generated based on the above definitions: absolute and relative volumes of FGT, denoted as /FGT/, FGT%, respectively; and absolute and relative volumes of BPE, denoted as /BPE/ and BPE%, respectively (Fig. 1).Fig. 1


Quantitative assessment of background parenchymal enhancement in breast MRI predicts response to risk-reducing salpingo-oophorectomy: preliminary evaluation in a cohort of BRCA1/2 mutation carriers.

Wu S, Weinstein SP, DeLeo MJ, Conant EF, Chen J, Domchek SM, Kontos D - Breast Cancer Res. (2015)

Illustration of our fully automated computer algorithm for quantifying magnetic resonance imaging (MRI) background parenchymal enhancement (BPE) and fibroglandular tissue (FGT). Representative 2D and 3D tissue segmentations in selected breast MRI scans are shown. a A breast MRI slice of the T1-weighted sequence. b Segmentation of the whole breast (red contour) and FGT (green contour). c 3D display of FGT (green) relative to the whole breast (red). d This dynamic contrast-enhanced MRI subtraction (SUB) image corresponds to the T1 slice shown in (a). e BPE (purple contour) estimated over the FGT area in the SUB image. f 3D display of BPE (purple), FGT (green), and whole breast (red)
© Copyright Policy - open-access
Related In: Results  -  Collection

License 1 - License 2
Show All Figures
getmorefigures.php?uid=PMC4481125&req=5

Fig1: Illustration of our fully automated computer algorithm for quantifying magnetic resonance imaging (MRI) background parenchymal enhancement (BPE) and fibroglandular tissue (FGT). Representative 2D and 3D tissue segmentations in selected breast MRI scans are shown. a A breast MRI slice of the T1-weighted sequence. b Segmentation of the whole breast (red contour) and FGT (green contour). c 3D display of FGT (green) relative to the whole breast (red). d This dynamic contrast-enhanced MRI subtraction (SUB) image corresponds to the T1 slice shown in (a). e BPE (purple contour) estimated over the FGT area in the SUB image. f 3D display of BPE (purple), FGT (green), and whole breast (red)
Mentions: A total of four quantitative measures were generated based on the above definitions: absolute and relative volumes of FGT, denoted as /FGT/, FGT%, respectively; and absolute and relative volumes of BPE, denoted as /BPE/ and BPE%, respectively (Fig. 1).Fig. 1

Bottom Line: These pre-RRSO and post-RRSO measures were compared using paired Student's t test.For the 44 women who did not develop breast cancer after RRSO, the absolute volume of BPE and FGT had a significant decrease (P < 0.05) post-RRSO, whereas for the 6 women who developed breast cancer, there were no significant changes in these measures.Higher values in all BPE and FGT measures were also observed post-RRSO for the women who developed breast cancer, compared with women who did not.

View Article: PubMed Central - PubMed

Affiliation: Department of Radiology, Hospital of the University of Pennsylvania, 1 Silverstein Building, 3400 Spruce Street, Philadelphia, PA, 19104, USA. wus3@upmc.edu.

ABSTRACT

Introduction: We present a fully automated method for deriving quantitative measures of background parenchymal enhancement (BPE) from breast dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and perform a preliminary evaluation of these measures to assess the effect of risk-reducing salpingo-oophorectomy (RRSO) in a cohort of breast cancer susceptibility gene 1/2 (BRCA1/2) mutation carriers.

Methods: Breast DCE-MRI data from 50 BRCA1/2 carriers were retrospectively analyzed in compliance with the Health Insurance Portability and Accountability Act and with institutional review board approval. Both the absolute (/ /) and relative (%) measures of BPE and fibroglandular tissue (FGT) were computed from the MRI scans acquired before and after RRSO. These pre-RRSO and post-RRSO measures were compared using paired Student's t test. The area under the curve (AUC) of the receiver operating characteristic (ROC) was used to evaluate the performance of relative changes in the BPE and FGT measures in predicting breast cancer that developed in these women after the RRSO surgery.

Results: For the 44 women who did not develop breast cancer after RRSO, the absolute volume of BPE and FGT had a significant decrease (P < 0.05) post-RRSO, whereas for the 6 women who developed breast cancer, there were no significant changes in these measures. Higher values in all BPE and FGT measures were also observed post-RRSO for the women who developed breast cancer, compared with women who did not. Relative changes in BPE percentage were most predictive of women who developed breast cancer after RRSO (P < 0.05), whereas combining BPE percentage and /FGT/ yielded an AUC of 0.80, higher than BPE percentage (AUC = 0.78) or /FGT/ (AUC = 0.66) alone (both P > 0.02).

Conclusions: Quantitative measures of BPE and FGT are different before and after RRSO, and their relative changes are associated with prediction of developing breast cancer, potentially indicative of women who are more susceptible to develop breast cancer after RRSO in BRCA1/2 mutation carriers.

No MeSH data available.


Related in: MedlinePlus