The comparison of high-resolution diffusion weighted imaging (DWI) with high-resolution contrast-enhanced MRI in the evaluation of breast cancers
We sought to investigate the performance of high resolution (HR) diffusion-weighted imaging (DWI) using readout-segmented echo-planar imaging (rs-EPI), compared with high-resolution contrast-enhanced MRI (HR CE-MRI) in terms of morphological accuracy, on the basis of the Breast Imaging and Reporting...
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| Veröffentlicht in: | Magnetic resonance imaging 2020-09, Vol.71, p.161-169 |
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| creator | Kishimoto, Ayami Ohno Kataoka, Masako Iima, Mami Honda, Maya Miyake, Kanae Kawai Ohashi, Akane Ota, Rie Kataoka, Tatsuki Sakurai, Takaki Toi, Masakazu Togashi, Kaori |
| description | We sought to investigate the performance of high resolution (HR) diffusion-weighted imaging (DWI) using readout-segmented echo-planar imaging (rs-EPI), compared with high-resolution contrast-enhanced MRI (HR CE-MRI) in terms of morphological accuracy, on the basis of the Breast Imaging and Reporting and Data System (BI-RADS) MRI descriptors and lesion size.
This retrospective study included the image data of 94 patients with surgically confirmed malignant breast lesions who had undergone high resolution diffusion-weighted imaging (HR-DWI) and HR CE-MRI. Two radiologists blinded to the final diagnosis independently identified the lesions on HR-DWI, described the morphology of the lesions according to BI-RADS descriptors, and measured lesion size. HR CE-MRI was subsequently evaluated using the same procedure. The inter-method agreement of the morphology was assessed using kappa statistics. Correlation on size was also assessed.
Reader A detected 79 mass lesions and 37 non-mass lesions on HR-DWI and HR CE-MRI. Reader B detected 81 mass lesions and 33 non-mass lesions on HR-DWI and HR CE-MRI. Very high agreement (kappa = 0.81–0.89, p |
| doi_str_mv | 10.1016/j.mri.2020.03.007 |
| format | Article |
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This retrospective study included the image data of 94 patients with surgically confirmed malignant breast lesions who had undergone high resolution diffusion-weighted imaging (HR-DWI) and HR CE-MRI. Two radiologists blinded to the final diagnosis independently identified the lesions on HR-DWI, described the morphology of the lesions according to BI-RADS descriptors, and measured lesion size. HR CE-MRI was subsequently evaluated using the same procedure. The inter-method agreement of the morphology was assessed using kappa statistics. Correlation on size was also assessed.
Reader A detected 79 mass lesions and 37 non-mass lesions on HR-DWI and HR CE-MRI. Reader B detected 81 mass lesions and 33 non-mass lesions on HR-DWI and HR CE-MRI. Very high agreement (kappa = 0.81–0.89, p < .05) was observed in the shape and margin assessment of mass lesions, where agreement on internal enhancement/signals was moderate to substantial (kappa = 0.43–0.61, p < .05). Disagreement was mostly seen in the evaluation of rim enhancement. High agreement was observed for non-mass lesion distribution (kappa = 0.76–0.84, p < .05), and agreement on internal enhancement/signals was moderate to fair (kappa = 0.34–0.49, p < .05). Agreement among heterogeneous, clumped, and clustered-ring patterns was variable. Size assessment showed very strong correlation both in mass (Spearman's rho = 0.90–0.96, p < .0001) and non-mass lesions (Spearman's rho = 0.86, p < .0001).
The findings in morphology and lesion extent showed high agreement between HR-DWI and HR CE-MRI for malignant breast lesions. These results imply the potential of applying HR-DWI for evaluation of malignant breast lesions using BI-RADS MRI.]]></description><identifier>ISSN: 0730-725X</identifier><identifier>EISSN: 1873-5894</identifier><identifier>DOI: 10.1016/j.mri.2020.03.007</identifier><identifier>PMID: 32320723</identifier><language>eng</language><publisher>Netherlands: Elsevier Inc</publisher><subject>Adult ; Aged ; Breast neoplasms ; Breast Neoplasms - diagnostic imaging ; Contrast Media ; Diffusion Magnetic Resonance Imaging - methods ; Diffusion-weighted imaging ; Echo-Planar Imaging ; Female ; High-resolution ; Humans ; Magnetic resonance imaging ; Middle Aged ; Non-mass lesions ; Retrospective Studies ; Sensitivity and Specificity</subject><ispartof>Magnetic resonance imaging, 2020-09, Vol.71, p.161-169</ispartof><rights>2020 Elsevier Inc.</rights><rights>Copyright © 2020 Elsevier Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c353t-235b4e7a469e2bbcf69eeecb265dcde6afeffec8b5e1c083a9018e89cc207b4a3</citedby><cites>FETCH-LOGICAL-c353t-235b4e7a469e2bbcf69eeecb265dcde6afeffec8b5e1c083a9018e89cc207b4a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.mri.2020.03.007$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,777,781,3537,27905,27906,45976</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32320723$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kishimoto, Ayami Ohno</creatorcontrib><creatorcontrib>Kataoka, Masako</creatorcontrib><creatorcontrib>Iima, Mami</creatorcontrib><creatorcontrib>Honda, Maya</creatorcontrib><creatorcontrib>Miyake, Kanae Kawai</creatorcontrib><creatorcontrib>Ohashi, Akane</creatorcontrib><creatorcontrib>Ota, Rie</creatorcontrib><creatorcontrib>Kataoka, Tatsuki</creatorcontrib><creatorcontrib>Sakurai, Takaki</creatorcontrib><creatorcontrib>Toi, Masakazu</creatorcontrib><creatorcontrib>Togashi, Kaori</creatorcontrib><title>The comparison of high-resolution diffusion weighted imaging (DWI) with high-resolution contrast-enhanced MRI in the evaluation of breast cancers</title><title>Magnetic resonance imaging</title><addtitle>Magn Reson Imaging</addtitle><description><![CDATA[We sought to investigate the performance of high resolution (HR) diffusion-weighted imaging (DWI) using readout-segmented echo-planar imaging (rs-EPI), compared with high-resolution contrast-enhanced MRI (HR CE-MRI) in terms of morphological accuracy, on the basis of the Breast Imaging and Reporting and Data System (BI-RADS) MRI descriptors and lesion size.
This retrospective study included the image data of 94 patients with surgically confirmed malignant breast lesions who had undergone high resolution diffusion-weighted imaging (HR-DWI) and HR CE-MRI. Two radiologists blinded to the final diagnosis independently identified the lesions on HR-DWI, described the morphology of the lesions according to BI-RADS descriptors, and measured lesion size. HR CE-MRI was subsequently evaluated using the same procedure. The inter-method agreement of the morphology was assessed using kappa statistics. Correlation on size was also assessed.
Reader A detected 79 mass lesions and 37 non-mass lesions on HR-DWI and HR CE-MRI. Reader B detected 81 mass lesions and 33 non-mass lesions on HR-DWI and HR CE-MRI. Very high agreement (kappa = 0.81–0.89, p < .05) was observed in the shape and margin assessment of mass lesions, where agreement on internal enhancement/signals was moderate to substantial (kappa = 0.43–0.61, p < .05). Disagreement was mostly seen in the evaluation of rim enhancement. High agreement was observed for non-mass lesion distribution (kappa = 0.76–0.84, p < .05), and agreement on internal enhancement/signals was moderate to fair (kappa = 0.34–0.49, p < .05). Agreement among heterogeneous, clumped, and clustered-ring patterns was variable. Size assessment showed very strong correlation both in mass (Spearman's rho = 0.90–0.96, p < .0001) and non-mass lesions (Spearman's rho = 0.86, p < .0001).
The findings in morphology and lesion extent showed high agreement between HR-DWI and HR CE-MRI for malignant breast lesions. These results imply the potential of applying HR-DWI for evaluation of malignant breast lesions using BI-RADS MRI.]]></description><subject>Adult</subject><subject>Aged</subject><subject>Breast neoplasms</subject><subject>Breast Neoplasms - diagnostic imaging</subject><subject>Contrast Media</subject><subject>Diffusion Magnetic Resonance Imaging - methods</subject><subject>Diffusion-weighted imaging</subject><subject>Echo-Planar Imaging</subject><subject>Female</subject><subject>High-resolution</subject><subject>Humans</subject><subject>Magnetic resonance imaging</subject><subject>Middle Aged</subject><subject>Non-mass lesions</subject><subject>Retrospective Studies</subject><subject>Sensitivity and Specificity</subject><issn>0730-725X</issn><issn>1873-5894</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kc1u1TAQhS0EopfCA7BBXpZF0rGdX7FCLT9XalUJFcHOcpzxja-S-GI7rXgM3hiHW7pBYjWW5zszOnMIec0gZ8Cq830-eZtz4JCDyAHqJ2TDmlpkZdMWT8kGagFZzcvvJ-RFCHsAKLkon5MTwQWHmosN-XU7INVuOihvg5upM3SwuyHzGNy4RJu-emvMEtbXPaZWxJ7aSe3svKNnl9-2b-m9jcM_Ku3m6FWIGc6DmnUSXX_ZUjvTmBbinRoX9YdLCzuPCaR6xXx4SZ4ZNQZ89VBPydePH24vPmdXN5-2F--vMi1KEbNkpCuwVkXVIu86bVJF1B2vyl73WCmDxqBuuhKZhkaoFliDTat1ct4VSpySs-Pcg3c_FgxRTjZoHEc1o1uC5KIteFlXrE4oO6LauxA8Gnnw6QT-p2Qg1yTkXqYk5JqEBCFTEknz5mH80k3YPyr-nj4B744AJpN3Fr0M2uJ6KetRR9k7-5_xvwFt7Z09</recordid><startdate>202009</startdate><enddate>202009</enddate><creator>Kishimoto, Ayami Ohno</creator><creator>Kataoka, Masako</creator><creator>Iima, Mami</creator><creator>Honda, Maya</creator><creator>Miyake, Kanae Kawai</creator><creator>Ohashi, Akane</creator><creator>Ota, Rie</creator><creator>Kataoka, Tatsuki</creator><creator>Sakurai, Takaki</creator><creator>Toi, Masakazu</creator><creator>Togashi, Kaori</creator><general>Elsevier Inc</general><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>7X8</scope></search><sort><creationdate>202009</creationdate><title>The comparison of high-resolution diffusion weighted imaging (DWI) with high-resolution contrast-enhanced MRI in the evaluation of breast cancers</title><author>Kishimoto, Ayami Ohno ; Kataoka, Masako ; Iima, Mami ; Honda, Maya ; Miyake, Kanae Kawai ; Ohashi, Akane ; Ota, Rie ; Kataoka, Tatsuki ; Sakurai, Takaki ; Toi, Masakazu ; Togashi, Kaori</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c353t-235b4e7a469e2bbcf69eeecb265dcde6afeffec8b5e1c083a9018e89cc207b4a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Breast neoplasms</topic><topic>Breast Neoplasms - diagnostic imaging</topic><topic>Contrast Media</topic><topic>Diffusion Magnetic Resonance Imaging - methods</topic><topic>Diffusion-weighted imaging</topic><topic>Echo-Planar Imaging</topic><topic>Female</topic><topic>High-resolution</topic><topic>Humans</topic><topic>Magnetic resonance imaging</topic><topic>Middle Aged</topic><topic>Non-mass lesions</topic><topic>Retrospective Studies</topic><topic>Sensitivity and Specificity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kishimoto, Ayami Ohno</creatorcontrib><creatorcontrib>Kataoka, Masako</creatorcontrib><creatorcontrib>Iima, Mami</creatorcontrib><creatorcontrib>Honda, Maya</creatorcontrib><creatorcontrib>Miyake, Kanae Kawai</creatorcontrib><creatorcontrib>Ohashi, Akane</creatorcontrib><creatorcontrib>Ota, Rie</creatorcontrib><creatorcontrib>Kataoka, Tatsuki</creatorcontrib><creatorcontrib>Sakurai, Takaki</creatorcontrib><creatorcontrib>Toi, Masakazu</creatorcontrib><creatorcontrib>Togashi, Kaori</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Magnetic resonance imaging</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kishimoto, Ayami Ohno</au><au>Kataoka, Masako</au><au>Iima, Mami</au><au>Honda, Maya</au><au>Miyake, Kanae Kawai</au><au>Ohashi, Akane</au><au>Ota, Rie</au><au>Kataoka, Tatsuki</au><au>Sakurai, Takaki</au><au>Toi, Masakazu</au><au>Togashi, Kaori</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The comparison of high-resolution diffusion weighted imaging (DWI) with high-resolution contrast-enhanced MRI in the evaluation of breast cancers</atitle><jtitle>Magnetic resonance imaging</jtitle><addtitle>Magn Reson Imaging</addtitle><date>2020-09</date><risdate>2020</risdate><volume>71</volume><spage>161</spage><epage>169</epage><pages>161-169</pages><issn>0730-725X</issn><eissn>1873-5894</eissn><abstract><![CDATA[We sought to investigate the performance of high resolution (HR) diffusion-weighted imaging (DWI) using readout-segmented echo-planar imaging (rs-EPI), compared with high-resolution contrast-enhanced MRI (HR CE-MRI) in terms of morphological accuracy, on the basis of the Breast Imaging and Reporting and Data System (BI-RADS) MRI descriptors and lesion size.
This retrospective study included the image data of 94 patients with surgically confirmed malignant breast lesions who had undergone high resolution diffusion-weighted imaging (HR-DWI) and HR CE-MRI. Two radiologists blinded to the final diagnosis independently identified the lesions on HR-DWI, described the morphology of the lesions according to BI-RADS descriptors, and measured lesion size. HR CE-MRI was subsequently evaluated using the same procedure. The inter-method agreement of the morphology was assessed using kappa statistics. Correlation on size was also assessed.
Reader A detected 79 mass lesions and 37 non-mass lesions on HR-DWI and HR CE-MRI. Reader B detected 81 mass lesions and 33 non-mass lesions on HR-DWI and HR CE-MRI. Very high agreement (kappa = 0.81–0.89, p < .05) was observed in the shape and margin assessment of mass lesions, where agreement on internal enhancement/signals was moderate to substantial (kappa = 0.43–0.61, p < .05). Disagreement was mostly seen in the evaluation of rim enhancement. High agreement was observed for non-mass lesion distribution (kappa = 0.76–0.84, p < .05), and agreement on internal enhancement/signals was moderate to fair (kappa = 0.34–0.49, p < .05). Agreement among heterogeneous, clumped, and clustered-ring patterns was variable. Size assessment showed very strong correlation both in mass (Spearman's rho = 0.90–0.96, p < .0001) and non-mass lesions (Spearman's rho = 0.86, p < .0001).
The findings in morphology and lesion extent showed high agreement between HR-DWI and HR CE-MRI for malignant breast lesions. These results imply the potential of applying HR-DWI for evaluation of malignant breast lesions using BI-RADS MRI.]]></abstract><cop>Netherlands</cop><pub>Elsevier Inc</pub><pmid>32320723</pmid><doi>10.1016/j.mri.2020.03.007</doi><tpages>9</tpages></addata></record> |
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| ispartof | Magnetic resonance imaging, 2020-09, Vol.71, p.161-169 |
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| source | MEDLINE; Elsevier ScienceDirect Journals |
| subjects | Adult Aged Breast neoplasms Breast Neoplasms - diagnostic imaging Contrast Media Diffusion Magnetic Resonance Imaging - methods Diffusion-weighted imaging Echo-Planar Imaging Female High-resolution Humans Magnetic resonance imaging Middle Aged Non-mass lesions Retrospective Studies Sensitivity and Specificity |
| title | The comparison of high-resolution diffusion weighted imaging (DWI) with high-resolution contrast-enhanced MRI in the evaluation of breast cancers |
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