Preoperative prediction of Ki-67 status in invasive breast carcinoma using dynamic contrast-enhanced MRI, diffusion-weighted imaging and diffusion tensor imaging

Background The Ki-67 is a beneficial marker of tumor aggressiveness. It is proliferation index that has been used to distinguish luminal B from luminal A breast cancers. By fast progress in quantitative radiology modalities, tumor biology and genetics can be assessed in a more accurate, predictive,...

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Veröffentlicht in:Egyptian Journal of Radiology and Nuclear Medicine 2023-12, Vol.54 (1), p.62-8, Article 62
Hauptverfasser: EL-Metwally, Dina, Monier, Dalia, Hassan, Amany, Helal, Amira Mohamed
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Monier, Dalia
Hassan, Amany
Helal, Amira Mohamed
description Background The Ki-67 is a beneficial marker of tumor aggressiveness. It is proliferation index that has been used to distinguish luminal B from luminal A breast cancers. By fast progress in quantitative radiology modalities, tumor biology and genetics can be assessed in a more accurate, predictive, and cost-effective method. The aim of this study was to assess the role of dynamic contrast-enhanced magnetic resonance imaging, diffusion-weighted imaging and diffusion tensor imaging in prediction of Ki-67 status in patients with invasive breast carcinoma estimate cut off values between breast cancer with high Ki-67 status and those with low Ki-67 status. Results Cut off ADC (apparent diffusion co-efficient) value of 0.657 mm 2 /s had 96.4% sensitivity, 75% specificity and 93.8% accuracy in differentiating cases with high Ki67 from those with low Ki67. Cut off maximum enhancement value of 1715 had 96.4% sensitivity, 75% specificity and 93.8% accuracy in differentiating cases with high Ki67 from those with low Ki67. Cut off washout rate of 0.73 I/S had 60.7% sensitivity, 75% specificity and 62.5% accuracy in differentiating cases with high Ki67 from those with low Ki67. Cut off time to peak value of 304 had 71.4% sensitivity, 75% specificity and 71.9% accuracy in differentiating cases with high Ki67 from those with low Ki67. Conclusions ADC, time to peak and maximum enhancement values had high sensitivity, specificity and accuracy in differentiating breast cancer with high Ki-67 status from those with low Ki-67 status.
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It is proliferation index that has been used to distinguish luminal B from luminal A breast cancers. By fast progress in quantitative radiology modalities, tumor biology and genetics can be assessed in a more accurate, predictive, and cost-effective method. The aim of this study was to assess the role of dynamic contrast-enhanced magnetic resonance imaging, diffusion-weighted imaging and diffusion tensor imaging in prediction of Ki-67 status in patients with invasive breast carcinoma estimate cut off values between breast cancer with high Ki-67 status and those with low Ki-67 status. Results Cut off ADC (apparent diffusion co-efficient) value of 0.657 mm 2 /s had 96.4% sensitivity, 75% specificity and 93.8% accuracy in differentiating cases with high Ki67 from those with low Ki67. Cut off maximum enhancement value of 1715 had 96.4% sensitivity, 75% specificity and 93.8% accuracy in differentiating cases with high Ki67 from those with low Ki67. Cut off washout rate of 0.73 I/S had 60.7% sensitivity, 75% specificity and 62.5% accuracy in differentiating cases with high Ki67 from those with low Ki67. Cut off time to peak value of 304 had 71.4% sensitivity, 75% specificity and 71.9% accuracy in differentiating cases with high Ki67 from those with low Ki67. Conclusions ADC, time to peak and maximum enhancement values had high sensitivity, specificity and accuracy in differentiating breast cancer with high Ki-67 status from those with low Ki-67 status.</description><identifier>ISSN: 2090-4762</identifier><identifier>ISSN: 0378-603X</identifier><identifier>EISSN: 2090-4762</identifier><identifier>DOI: 10.1186/s43055-023-01007-y</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Breast cancer ; Cancer ; Carcinoma ; DCE-MRI ; DTI ; DWI ; Imaging ; Interventional Radiology ; Ki-67 ; Magnetic resonance imaging ; Medical research ; Medicine ; Medicine &amp; Public Health ; Medicine, Experimental ; Nuclear Medicine ; Radiology</subject><ispartof>Egyptian Journal of Radiology and Nuclear Medicine, 2023-12, Vol.54 (1), p.62-8, Article 62</ispartof><rights>The Author(s) 2023</rights><rights>COPYRIGHT 2023 Springer</rights><rights>The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c447t-4848929d8d9d32765fdbae7eb680368df097e4dba281719d7629c68b68cfdbcd3</cites><orcidid>0000-0002-5252-3378</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,864,27924,27925</link.rule.ids></links><search><creatorcontrib>EL-Metwally, Dina</creatorcontrib><creatorcontrib>Monier, Dalia</creatorcontrib><creatorcontrib>Hassan, Amany</creatorcontrib><creatorcontrib>Helal, Amira Mohamed</creatorcontrib><title>Preoperative prediction of Ki-67 status in invasive breast carcinoma using dynamic contrast-enhanced MRI, diffusion-weighted imaging and diffusion tensor imaging</title><title>Egyptian Journal of Radiology and Nuclear Medicine</title><addtitle>Egypt J Radiol Nucl Med</addtitle><description>Background The Ki-67 is a beneficial marker of tumor aggressiveness. It is proliferation index that has been used to distinguish luminal B from luminal A breast cancers. By fast progress in quantitative radiology modalities, tumor biology and genetics can be assessed in a more accurate, predictive, and cost-effective method. The aim of this study was to assess the role of dynamic contrast-enhanced magnetic resonance imaging, diffusion-weighted imaging and diffusion tensor imaging in prediction of Ki-67 status in patients with invasive breast carcinoma estimate cut off values between breast cancer with high Ki-67 status and those with low Ki-67 status. Results Cut off ADC (apparent diffusion co-efficient) value of 0.657 mm 2 /s had 96.4% sensitivity, 75% specificity and 93.8% accuracy in differentiating cases with high Ki67 from those with low Ki67. Cut off maximum enhancement value of 1715 had 96.4% sensitivity, 75% specificity and 93.8% accuracy in differentiating cases with high Ki67 from those with low Ki67. Cut off washout rate of 0.73 I/S had 60.7% sensitivity, 75% specificity and 62.5% accuracy in differentiating cases with high Ki67 from those with low Ki67. Cut off time to peak value of 304 had 71.4% sensitivity, 75% specificity and 71.9% accuracy in differentiating cases with high Ki67 from those with low Ki67. Conclusions ADC, time to peak and maximum enhancement values had high sensitivity, specificity and accuracy in differentiating breast cancer with high Ki-67 status from those with low Ki-67 status.</description><subject>Breast cancer</subject><subject>Cancer</subject><subject>Carcinoma</subject><subject>DCE-MRI</subject><subject>DTI</subject><subject>DWI</subject><subject>Imaging</subject><subject>Interventional Radiology</subject><subject>Ki-67</subject><subject>Magnetic resonance imaging</subject><subject>Medical research</subject><subject>Medicine</subject><subject>Medicine &amp; Public Health</subject><subject>Medicine, Experimental</subject><subject>Nuclear Medicine</subject><subject>Radiology</subject><issn>2090-4762</issn><issn>0378-603X</issn><issn>2090-4762</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>DOA</sourceid><recordid>eNp9Ul1rVDEQvYiCpe0f8Cngq7cmN7n5eCzFj6UVRfQ5ZJO5t1m6yZpkW_bn-E-d7aqrICaBhJlzzkyG03UvGL1gTMvXVXA6jj0deE8ZparfPelOBmpoL5Qcnv7xft6d17qiuASlTIqT7vunAnkDxbV4D2RTIETfYk4kT-Q69lKR2lzbVhITnntX97BlAVcb8a74mPLakW2NaSZhl9w6euJzagUBPaRblzwE8uHz4hUJcZoQmFP_AHG-bRiPazfvmS6FY5o0SDWXX8mz7tnk7iqc_7xPu69v33y5et_ffHy3uLq86b0QqvVCC20GE3QwgQ9KjlNYOlCwlJpyqcNEjQKBsUEzxUzAaRgvNaY9In3gp93ioBuyW9lNwfJlZ7OL9jGQy2xdadHfgXVUohoHJqgWjHMXNDMcFJdLLOM1ar08aG1K_raF2uwqb0vC9u2gzMioYNIcUbND0ZimjGPz61i9vVRC8JEPekTUxT9QuAPgsHOCKWL8L8JwIPiSay0w_f4Mo3ZvGHswjEXD2EfD2B2S-IFUEZxmKMeO_8P6AeJ0xFA</recordid><startdate>20231201</startdate><enddate>20231201</enddate><creator>EL-Metwally, Dina</creator><creator>Monier, Dalia</creator><creator>Hassan, Amany</creator><creator>Helal, Amira Mohamed</creator><general>Springer Berlin Heidelberg</general><general>Springer</general><general>Springer Nature B.V</general><general>SpringerOpen</general><scope>C6C</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-5252-3378</orcidid></search><sort><creationdate>20231201</creationdate><title>Preoperative prediction of Ki-67 status in invasive breast carcinoma using dynamic contrast-enhanced MRI, diffusion-weighted imaging and diffusion tensor imaging</title><author>EL-Metwally, Dina ; Monier, Dalia ; Hassan, Amany ; Helal, Amira Mohamed</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c447t-4848929d8d9d32765fdbae7eb680368df097e4dba281719d7629c68b68cfdbcd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Breast cancer</topic><topic>Cancer</topic><topic>Carcinoma</topic><topic>DCE-MRI</topic><topic>DTI</topic><topic>DWI</topic><topic>Imaging</topic><topic>Interventional Radiology</topic><topic>Ki-67</topic><topic>Magnetic resonance imaging</topic><topic>Medical research</topic><topic>Medicine</topic><topic>Medicine &amp; Public Health</topic><topic>Medicine, Experimental</topic><topic>Nuclear Medicine</topic><topic>Radiology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>EL-Metwally, Dina</creatorcontrib><creatorcontrib>Monier, Dalia</creatorcontrib><creatorcontrib>Hassan, Amany</creatorcontrib><creatorcontrib>Helal, Amira Mohamed</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health &amp; 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It is proliferation index that has been used to distinguish luminal B from luminal A breast cancers. By fast progress in quantitative radiology modalities, tumor biology and genetics can be assessed in a more accurate, predictive, and cost-effective method. The aim of this study was to assess the role of dynamic contrast-enhanced magnetic resonance imaging, diffusion-weighted imaging and diffusion tensor imaging in prediction of Ki-67 status in patients with invasive breast carcinoma estimate cut off values between breast cancer with high Ki-67 status and those with low Ki-67 status. Results Cut off ADC (apparent diffusion co-efficient) value of 0.657 mm 2 /s had 96.4% sensitivity, 75% specificity and 93.8% accuracy in differentiating cases with high Ki67 from those with low Ki67. Cut off maximum enhancement value of 1715 had 96.4% sensitivity, 75% specificity and 93.8% accuracy in differentiating cases with high Ki67 from those with low Ki67. Cut off washout rate of 0.73 I/S had 60.7% sensitivity, 75% specificity and 62.5% accuracy in differentiating cases with high Ki67 from those with low Ki67. Cut off time to peak value of 304 had 71.4% sensitivity, 75% specificity and 71.9% accuracy in differentiating cases with high Ki67 from those with low Ki67. Conclusions ADC, time to peak and maximum enhancement values had high sensitivity, specificity and accuracy in differentiating breast cancer with high Ki-67 status from those with low Ki-67 status.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1186/s43055-023-01007-y</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0002-5252-3378</orcidid><oa>free_for_read</oa></addata></record>
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subjects Breast cancer
Cancer
Carcinoma
DCE-MRI
DTI
DWI
Imaging
Interventional Radiology
Ki-67
Magnetic resonance imaging
Medical research
Medicine
Medicine & Public Health
Medicine, Experimental
Nuclear Medicine
Radiology
title Preoperative prediction of Ki-67 status in invasive breast carcinoma using dynamic contrast-enhanced MRI, diffusion-weighted imaging and diffusion tensor imaging
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