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 |
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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. |
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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 > 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.</description><identifier>ISSN: 0740-3194</identifier><identifier>EISSN: 1522-2594</identifier><identifier>DOI: 10.1002/mrm.22762</identifier><identifier>PMID: 21254208</identifier><language>eng</language><publisher>Hoboken: Wiley Subscription Services, Inc., A Wiley Company</publisher><subject>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</subject><ispartof>Magnetic resonance in medicine, 2011-06, Vol.65 (6), p.1759-1767</ispartof><rights>Copyright © 2011 Wiley‐Liss, Inc.</rights><rights>Copyright © 2011 Wiley-Liss, Inc.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5182-bc4e7ecaf9d762d7fa17df394af19a04342543643b968aad8bdd2bfe14dd9f673</citedby><cites>FETCH-LOGICAL-c5182-bc4e7ecaf9d762d7fa17df394af19a04342543643b968aad8bdd2bfe14dd9f673</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fmrm.22762$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fmrm.22762$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>230,315,782,786,887,1419,1435,27931,27932,45581,45582,46416,46840</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21254208$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Partridge, S. C.</creatorcontrib><creatorcontrib>Rahbar, H.</creatorcontrib><creatorcontrib>Murthy, R.</creatorcontrib><creatorcontrib>Chai, X.</creatorcontrib><creatorcontrib>Kurland, B. F.</creatorcontrib><creatorcontrib>DeMartini, W. B.</creatorcontrib><creatorcontrib>Lehman, C. D.</creatorcontrib><title>Improved diagnostic accuracy of breast MRI through combined apparent diffusion coefficients and dynamic contrast-enhanced kinetics</title><title>Magnetic resonance in medicine</title><addtitle>Magn. Reson. Med</addtitle><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.</description><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>apparent diffusion coefficient</subject><subject>Area Under Curve</subject><subject>Biopsy</subject><subject>breast cancer</subject><subject>Breast Neoplasms - diagnosis</subject><subject>Breast Neoplasms - pathology</subject><subject>Contrast Media</subject><subject>Diffusion Magnetic Resonance Imaging - methods</subject><subject>diffusion-weighted imaging</subject><subject>dynamic contrast-enhanced MRI</subject><subject>Female</subject><subject>Gadolinium DTPA</subject><subject>Humans</subject><subject>Image Enhancement - methods</subject><subject>Image Interpretation, Computer-Assisted</subject><subject>Middle Aged</subject><subject>Predictive Value of Tests</subject><subject>Retrospective Studies</subject><subject>ROC Curve</subject><subject>Sensitivity and Specificity</subject><issn>0740-3194</issn><issn>1522-2594</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kUtPGzEUha0KVFLoon8AzZbFgO3xPLxBQghCpAQQourSuuNHYsjYI3tCm21_eZ0GIliwsuR7znd9fBD6QfApwZiedaE7pbSu6Bc0IiWlOS0520MjXDOcF4SzA_QtxieMMec1-4oOKKElo7gZob-Trg_-RatMWZg7HwcrM5ByFUCuM2-yNmiIQzZ7mGTDIvjVfJFJ37XWJQv0PQTthuQ1ZhWtd2mmjbHSptuYgUvYtYMuMaV3Q0ikXLsFOJncz4mRtsUjtG9gGfX31_MQ_by-ery8yad348nlxTSXJWlo3kqmay3BcJWSqtoAqZUpOANDOGBWsJSpqFjR8qoBUE2rFG2NJkwpbqq6OETnW26_ajutpN48aCn6YDsIa-HBio8TZxdi7l9EQTFpyAZwsgXI4GMM2uy8BItNESIVIf4XkbTH75ftlG8_nwRnW8Fvu9Trz0li9jB7Q-Zbh42D_rNzQHgWKV1dil-3Y3FzX41vZ_dTMS7-AcMep0Y</recordid><startdate>201106</startdate><enddate>201106</enddate><creator>Partridge, S. C.</creator><creator>Rahbar, H.</creator><creator>Murthy, R.</creator><creator>Chai, X.</creator><creator>Kurland, B. F.</creator><creator>DeMartini, W. B.</creator><creator>Lehman, C. D.</creator><general>Wiley Subscription Services, Inc., A Wiley Company</general><scope>BSCLL</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>5PM</scope></search><sort><creationdate>201106</creationdate><title>Improved diagnostic accuracy of breast MRI through combined apparent diffusion coefficients and dynamic contrast-enhanced kinetics</title><author>Partridge, S. C. ; Rahbar, H. ; Murthy, R. ; Chai, X. ; Kurland, B. F. ; DeMartini, W. B. ; Lehman, C. D.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5182-bc4e7ecaf9d762d7fa17df394af19a04342543643b968aad8bdd2bfe14dd9f673</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>apparent diffusion coefficient</topic><topic>Area Under Curve</topic><topic>Biopsy</topic><topic>breast cancer</topic><topic>Breast Neoplasms - diagnosis</topic><topic>Breast Neoplasms - pathology</topic><topic>Contrast Media</topic><topic>Diffusion Magnetic Resonance Imaging - methods</topic><topic>diffusion-weighted imaging</topic><topic>dynamic contrast-enhanced MRI</topic><topic>Female</topic><topic>Gadolinium DTPA</topic><topic>Humans</topic><topic>Image Enhancement - methods</topic><topic>Image Interpretation, Computer-Assisted</topic><topic>Middle Aged</topic><topic>Predictive Value of Tests</topic><topic>Retrospective Studies</topic><topic>ROC Curve</topic><topic>Sensitivity and Specificity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Partridge, S. C.</creatorcontrib><creatorcontrib>Rahbar, H.</creatorcontrib><creatorcontrib>Murthy, R.</creatorcontrib><creatorcontrib>Chai, X.</creatorcontrib><creatorcontrib>Kurland, B. F.</creatorcontrib><creatorcontrib>DeMartini, W. B.</creatorcontrib><creatorcontrib>Lehman, C. D.</creatorcontrib><collection>Istex</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Magnetic resonance in medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Partridge, S. C.</au><au>Rahbar, H.</au><au>Murthy, R.</au><au>Chai, X.</au><au>Kurland, B. F.</au><au>DeMartini, W. B.</au><au>Lehman, C. D.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Improved diagnostic accuracy of breast MRI through combined apparent diffusion coefficients and dynamic contrast-enhanced kinetics</atitle><jtitle>Magnetic resonance in medicine</jtitle><addtitle>Magn. Reson. Med</addtitle><date>2011-06</date><risdate>2011</risdate><volume>65</volume><issue>6</issue><spage>1759</spage><epage>1767</epage><pages>1759-1767</pages><issn>0740-3194</issn><eissn>1522-2594</eissn><abstract>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.</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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