Improved diagnostic accuracy of breast MRI through combined apparent diffusion coefficients and dynamic contrast-enhanced kinetics

This study investigated the relationship between apparent diffusion coefficient (ADC) measures and dynamic contrast‐enhanced magnetic resonance imaging (MRI) kinetics in breast lesions and evaluated the relative diagnostic value of each quantitative parameter. Seventy‐seven women with 100 breast les...

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Veröffentlicht in:Magnetic resonance in medicine 2011-06, Vol.65 (6), p.1759-1767
Hauptverfasser: Partridge, S. C., Rahbar, H., Murthy, R., Chai, X., Kurland, B. F., DeMartini, W. B., Lehman, C. D.
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container_end_page 1767
container_issue 6
container_start_page 1759
container_title Magnetic resonance in medicine
container_volume 65
creator Partridge, S. C.
Rahbar, H.
Murthy, R.
Chai, X.
Kurland, B. F.
DeMartini, W. B.
Lehman, C. D.
description This study investigated the relationship between apparent diffusion coefficient (ADC) measures and dynamic contrast‐enhanced magnetic resonance imaging (MRI) kinetics in breast lesions and evaluated the relative diagnostic value of each quantitative parameter. Seventy‐seven women with 100 breast lesions (27 malignant and 73 benign) underwent both dynamic contrast‐enhanced MRI and diffusion weighted MRI. Dynamic contrast‐enhanced MRI kinetic parameters included peak initial enhancement, predominant delayed kinetic curve type (persistent, plateau, or washout), and worst delayed kinetic curve type (washout > plateau > persistent). Associations between ADC and dynamic contrast‐enhanced MRI kinetic parameters and predictions of malignancy were evaluated. Results showed that ADC was significantly associated with predominant curve type (ADC was higher for lesions exhibiting predominantly persistent enhancement compared with those exhibiting predominantly washout or plateau, P = 0.006), but was not significantly associated with peak initial enhancement or worst curve type (P > 0.05). Univariate analysis showed significant differences between benign and malignant lesions in both ADC (P < 0.001) and worst curve (P = 0.003). In multivariate analysis, worst curve type and ADC were significant independent predictors of benign versus malignant outcome and in combination produced the highest area under the receiver operating characteristic curve (0.85 and 0.78 with 5‐fold cross validation). Magn Reson Med, 2011. © 2011 Wiley‐Liss, Inc.
doi_str_mv 10.1002/mrm.22762
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C. ; Rahbar, H. ; Murthy, R. ; Chai, X. ; Kurland, B. F. ; DeMartini, W. B. ; Lehman, C. D.</creator><creatorcontrib>Partridge, S. C. ; Rahbar, H. ; Murthy, R. ; Chai, X. ; Kurland, B. F. ; DeMartini, W. B. ; Lehman, C. D.</creatorcontrib><description>This study investigated the relationship between apparent diffusion coefficient (ADC) measures and dynamic contrast‐enhanced magnetic resonance imaging (MRI) kinetics in breast lesions and evaluated the relative diagnostic value of each quantitative parameter. Seventy‐seven women with 100 breast lesions (27 malignant and 73 benign) underwent both dynamic contrast‐enhanced MRI and diffusion weighted MRI. Dynamic contrast‐enhanced MRI kinetic parameters included peak initial enhancement, predominant delayed kinetic curve type (persistent, plateau, or washout), and worst delayed kinetic curve type (washout &gt; plateau &gt; persistent). Associations between ADC and dynamic contrast‐enhanced MRI kinetic parameters and predictions of malignancy were evaluated. Results showed that ADC was significantly associated with predominant curve type (ADC was higher for lesions exhibiting predominantly persistent enhancement compared with those exhibiting predominantly washout or plateau, P = 0.006), but was not significantly associated with peak initial enhancement or worst curve type (P &gt; 0.05). Univariate analysis showed significant differences between benign and malignant lesions in both ADC (P &lt; 0.001) and worst curve (P = 0.003). In multivariate analysis, worst curve type and ADC were significant independent predictors of benign versus malignant outcome and in combination produced the highest area under the receiver operating characteristic curve (0.85 and 0.78 with 5‐fold cross validation). 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Dynamic contrast‐enhanced MRI kinetic parameters included peak initial enhancement, predominant delayed kinetic curve type (persistent, plateau, or washout), and worst delayed kinetic curve type (washout &gt; plateau &gt; persistent). Associations between ADC and dynamic contrast‐enhanced MRI kinetic parameters and predictions of malignancy were evaluated. Results showed that ADC was significantly associated with predominant curve type (ADC was higher for lesions exhibiting predominantly persistent enhancement compared with those exhibiting predominantly washout or plateau, P = 0.006), but was not significantly associated with peak initial enhancement or worst curve type (P &gt; 0.05). Univariate analysis showed significant differences between benign and malignant lesions in both ADC (P &lt; 0.001) and worst curve (P = 0.003). In multivariate analysis, worst curve type and ADC were significant independent predictors of benign versus malignant outcome and in combination produced the highest area under the receiver operating characteristic curve (0.85 and 0.78 with 5‐fold cross validation). 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In multivariate analysis, worst curve type and ADC were significant independent predictors of benign versus malignant outcome and in combination produced the highest area under the receiver operating characteristic curve (0.85 and 0.78 with 5‐fold cross validation). Magn Reson Med, 2011. © 2011 Wiley‐Liss, Inc.</abstract><cop>Hoboken</cop><pub>Wiley Subscription Services, Inc., A Wiley Company</pub><pmid>21254208</pmid><doi>10.1002/mrm.22762</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record>
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subjects Adult
Aged
Aged, 80 and over
apparent diffusion coefficient
Area Under Curve
Biopsy
breast cancer
Breast Neoplasms - diagnosis
Breast Neoplasms - pathology
Contrast Media
Diffusion Magnetic Resonance Imaging - methods
diffusion-weighted imaging
dynamic contrast-enhanced MRI
Female
Gadolinium DTPA
Humans
Image Enhancement - methods
Image Interpretation, Computer-Assisted
Middle Aged
Predictive Value of Tests
Retrospective Studies
ROC Curve
Sensitivity and Specificity
title Improved diagnostic accuracy of breast MRI through combined apparent diffusion coefficients and dynamic contrast-enhanced kinetics
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