Diffusion tensor magnetic resonance imaging in differentiation of breast lesions
Background Diffusion tensor imaging (DTI) is a novel approach which uses extra gradients to quantify diffusion in several directions (at least six). The purpose of this research was to determine the role of diffusion tensor magnetic resonance imaging in breast lesion differentiation. Results Apparen...
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Veröffentlicht in: | Egyptian Journal of Radiology and Nuclear Medicine 2023-12, Vol.54 (1), p.22-13, Article 22 |
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description | Background
Diffusion tensor imaging (DTI) is a novel approach which uses extra gradients to quantify diffusion in several directions (at least six). The purpose of this research was to determine the role of diffusion tensor magnetic resonance imaging in breast lesion differentiation.
Results
Apparent diffusion coefficient (ADC) values were significantly lower in malignant than benign lesions, with a cut-off value of 1.21 × 10
−3
mm
2
/s, this gives a sensitivity of 88.46%, specificity 87.50% and accuracy 86.7%. Values of fractional anisotropy (FA) were higher significantly in malignant compared to benign lesions with a 0.15 cut-off value, has a 95.83% sensitivity, 96.15% specificity, and 95.6%, accuracy. Values of RA were significantly higher in malignant (0.180 ± 0.068) compared to benign lesions, with 0.13 cut-off value. Sensitivity, specificity, and accuracy were, respectively, 91.69%, 92.31%, and 90.2%. Values of
λ
1 were significantly lower in malignant (1.4 ± 0.453 × 10
−3
mm
2
/s) than in benign (2.19 ± 0.659 × 10
−3
mm
2
/s) lesions with a cut-off value of 1.71 × 10
−3
mm
2
/s. Sensitivity and specificity were, respectively, 95.83 and 96.15%. The combined evaluation by (dynamic contrast enhancement) Sensitivity improved to 100% with DCE and DTI readings, while specificity remained at 95.6%.
Conclusions
DTI breast imaging is a noninvasive procedure which demonstrated a high potential utility for cancer detection and serving as a standalone technique or in conjunction with DCE-MRI, the discriminating values of FA,
λ
1 and
λ
1–
λ
3 were high. Their measurements were strongly associated with identification breast malignancy and combined evaluation by DTI parameters and DCE-MRI DTI enhanced the sensitivity, lowered the rate of false-negatives, and completely improved the accuracy of breast lesions differential diagnosis. |
doi_str_mv | 10.1186/s43055-022-00886-x |
format | Article |
fullrecord | <record><control><sourceid>gale_doaj_</sourceid><recordid>TN_cdi_proquest_journals_2771199075</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A735458650</galeid><doaj_id>oai_doaj_org_article_11f44a7326ad4e8e9aa37874ec644ab4</doaj_id><sourcerecordid>A735458650</sourcerecordid><originalsourceid>FETCH-LOGICAL-c447t-b1b162e1714b1eab0df177e706860b2d2922e31b7f06bb796768924b71fc3f823</originalsourceid><addsrcrecordid>eNp9kUFLHTEUhYfSQkX9A10NdD16byaTZJZiWysIutB1SDI3Qx7vJTaZB_rvzXNKbUGaLBIO5zvcy2maLwhniEqcF97DMHTAWAeglOiePjRHDEbouBTs41__z81pKRuohwOg4EfN3bfg_b6EFNuFYkm53Zk50hJcm6mkaKKjNlQtxLkNsZ2qnTLFJZjlACXf2kymLO2WDinlpPnkzbbQ6e_3uHn48f3-8md3c3t1fXlx0znO5dJZtCgYoURukYyFyaOUJEEoAZZNbGSMerTSg7BWjkIKNTJuJXrXe8X64-Z6zZ2S2ejHXGfMzzqZoF-FlGdtcl1jSxrRc25kz4SZOCkajemlkpycqLrlNevrmvWY0689lUVv0j7HOr5mUiKOI8jhzTWbGhqiT0s2bheK0xeyH_igxADVdfaOq96JdsGlSD5U_R-ArYDLqZRM_s8yCPrQr1771bVf_dqvfqpQv0KlmuNM-W3i_1AvOeimgA</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2771199075</pqid></control><display><type>article</type><title>Diffusion tensor magnetic resonance imaging in differentiation of breast lesions</title><source>Springer Open Access</source><source>DOAJ Directory of Open Access Journals</source><source>EZB*</source><creator>Amin, Esraa Saleh ; Elsharawy, Fatma Anas ; Mlees, Mohamed Ali ; EL-Saeid, Haytham Haroun ; Dawoud, Mohammed Fathy</creator><creatorcontrib>Amin, Esraa Saleh ; Elsharawy, Fatma Anas ; Mlees, Mohamed Ali ; EL-Saeid, Haytham Haroun ; Dawoud, Mohammed Fathy</creatorcontrib><description>Background
Diffusion tensor imaging (DTI) is a novel approach which uses extra gradients to quantify diffusion in several directions (at least six). The purpose of this research was to determine the role of diffusion tensor magnetic resonance imaging in breast lesion differentiation.
Results
Apparent diffusion coefficient (ADC) values were significantly lower in malignant than benign lesions, with a cut-off value of 1.21 × 10
−3
mm
2
/s, this gives a sensitivity of 88.46%, specificity 87.50% and accuracy 86.7%. Values of fractional anisotropy (FA) were higher significantly in malignant compared to benign lesions with a 0.15 cut-off value, has a 95.83% sensitivity, 96.15% specificity, and 95.6%, accuracy. Values of RA were significantly higher in malignant (0.180 ± 0.068) compared to benign lesions, with 0.13 cut-off value. Sensitivity, specificity, and accuracy were, respectively, 91.69%, 92.31%, and 90.2%. Values of
λ
1 were significantly lower in malignant (1.4 ± 0.453 × 10
−3
mm
2
/s) than in benign (2.19 ± 0.659 × 10
−3
mm
2
/s) lesions with a cut-off value of 1.71 × 10
−3
mm
2
/s. Sensitivity and specificity were, respectively, 95.83 and 96.15%. The combined evaluation by (dynamic contrast enhancement) Sensitivity improved to 100% with DCE and DTI readings, while specificity remained at 95.6%.
Conclusions
DTI breast imaging is a noninvasive procedure which demonstrated a high potential utility for cancer detection and serving as a standalone technique or in conjunction with DCE-MRI, the discriminating values of FA,
λ
1 and
λ
1–
λ
3 were high. Their measurements were strongly associated with identification breast malignancy and combined evaluation by DTI parameters and DCE-MRI DTI enhanced the sensitivity, lowered the rate of false-negatives, and completely improved the accuracy of breast lesions differential diagnosis.</description><identifier>ISSN: 2090-4762</identifier><identifier>ISSN: 0378-603X</identifier><identifier>EISSN: 2090-4762</identifier><identifier>DOI: 10.1186/s43055-022-00886-x</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Anisotropy ; Biopsy ; Breast cancer ; Breast lesions ; Cancer therapies ; Comparative analysis ; Diffusion tensor magnetic resonance imaging ; Eigenvalues ; Family medical history ; Fractional anisotropy ; Imaging ; Magnetic resonance imaging ; Mammography ; Medical imaging equipment ; Medicine ; Medicine & Public Health ; Nuclear Medicine ; Patients ; Radiology ; Relative anisotropy ; Statistical analysis</subject><ispartof>Egyptian Journal of Radiology and Nuclear Medicine, 2023-12, Vol.54 (1), p.22-13, Article 22</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-b1b162e1714b1eab0df177e706860b2d2922e31b7f06bb796768924b71fc3f823</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,860,27901,27902</link.rule.ids></links><search><creatorcontrib>Amin, Esraa Saleh</creatorcontrib><creatorcontrib>Elsharawy, Fatma Anas</creatorcontrib><creatorcontrib>Mlees, Mohamed Ali</creatorcontrib><creatorcontrib>EL-Saeid, Haytham Haroun</creatorcontrib><creatorcontrib>Dawoud, Mohammed Fathy</creatorcontrib><title>Diffusion tensor magnetic resonance imaging in differentiation of breast lesions</title><title>Egyptian Journal of Radiology and Nuclear Medicine</title><addtitle>Egypt J Radiol Nucl Med</addtitle><description>Background
Diffusion tensor imaging (DTI) is a novel approach which uses extra gradients to quantify diffusion in several directions (at least six). The purpose of this research was to determine the role of diffusion tensor magnetic resonance imaging in breast lesion differentiation.
Results
Apparent diffusion coefficient (ADC) values were significantly lower in malignant than benign lesions, with a cut-off value of 1.21 × 10
−3
mm
2
/s, this gives a sensitivity of 88.46%, specificity 87.50% and accuracy 86.7%. Values of fractional anisotropy (FA) were higher significantly in malignant compared to benign lesions with a 0.15 cut-off value, has a 95.83% sensitivity, 96.15% specificity, and 95.6%, accuracy. Values of RA were significantly higher in malignant (0.180 ± 0.068) compared to benign lesions, with 0.13 cut-off value. Sensitivity, specificity, and accuracy were, respectively, 91.69%, 92.31%, and 90.2%. Values of
λ
1 were significantly lower in malignant (1.4 ± 0.453 × 10
−3
mm
2
/s) than in benign (2.19 ± 0.659 × 10
−3
mm
2
/s) lesions with a cut-off value of 1.71 × 10
−3
mm
2
/s. Sensitivity and specificity were, respectively, 95.83 and 96.15%. The combined evaluation by (dynamic contrast enhancement) Sensitivity improved to 100% with DCE and DTI readings, while specificity remained at 95.6%.
Conclusions
DTI breast imaging is a noninvasive procedure which demonstrated a high potential utility for cancer detection and serving as a standalone technique or in conjunction with DCE-MRI, the discriminating values of FA,
λ
1 and
λ
1–
λ
3 were high. Their measurements were strongly associated with identification breast malignancy and combined evaluation by DTI parameters and DCE-MRI DTI enhanced the sensitivity, lowered the rate of false-negatives, and completely improved the accuracy of breast lesions differential diagnosis.</description><subject>Anisotropy</subject><subject>Biopsy</subject><subject>Breast cancer</subject><subject>Breast lesions</subject><subject>Cancer therapies</subject><subject>Comparative analysis</subject><subject>Diffusion tensor magnetic resonance imaging</subject><subject>Eigenvalues</subject><subject>Family medical history</subject><subject>Fractional anisotropy</subject><subject>Imaging</subject><subject>Magnetic resonance imaging</subject><subject>Mammography</subject><subject>Medical imaging equipment</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Nuclear Medicine</subject><subject>Patients</subject><subject>Radiology</subject><subject>Relative anisotropy</subject><subject>Statistical analysis</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>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNp9kUFLHTEUhYfSQkX9A10NdD16byaTZJZiWysIutB1SDI3Qx7vJTaZB_rvzXNKbUGaLBIO5zvcy2maLwhniEqcF97DMHTAWAeglOiePjRHDEbouBTs41__z81pKRuohwOg4EfN3bfg_b6EFNuFYkm53Zk50hJcm6mkaKKjNlQtxLkNsZ2qnTLFJZjlACXf2kymLO2WDinlpPnkzbbQ6e_3uHn48f3-8md3c3t1fXlx0znO5dJZtCgYoURukYyFyaOUJEEoAZZNbGSMerTSg7BWjkIKNTJuJXrXe8X64-Z6zZ2S2ejHXGfMzzqZoF-FlGdtcl1jSxrRc25kz4SZOCkajemlkpycqLrlNevrmvWY0689lUVv0j7HOr5mUiKOI8jhzTWbGhqiT0s2bheK0xeyH_igxADVdfaOq96JdsGlSD5U_R-ArYDLqZRM_s8yCPrQr1771bVf_dqvfqpQv0KlmuNM-W3i_1AvOeimgA</recordid><startdate>20231201</startdate><enddate>20231201</enddate><creator>Amin, Esraa Saleh</creator><creator>Elsharawy, Fatma Anas</creator><creator>Mlees, Mohamed Ali</creator><creator>EL-Saeid, Haytham Haroun</creator><creator>Dawoud, Mohammed Fathy</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></search><sort><creationdate>20231201</creationdate><title>Diffusion tensor magnetic resonance imaging in differentiation of breast lesions</title><author>Amin, Esraa Saleh ; Elsharawy, Fatma Anas ; Mlees, Mohamed Ali ; EL-Saeid, Haytham Haroun ; Dawoud, Mohammed Fathy</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c447t-b1b162e1714b1eab0df177e706860b2d2922e31b7f06bb796768924b71fc3f823</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Anisotropy</topic><topic>Biopsy</topic><topic>Breast cancer</topic><topic>Breast lesions</topic><topic>Cancer therapies</topic><topic>Comparative analysis</topic><topic>Diffusion tensor magnetic resonance imaging</topic><topic>Eigenvalues</topic><topic>Family medical history</topic><topic>Fractional anisotropy</topic><topic>Imaging</topic><topic>Magnetic resonance imaging</topic><topic>Mammography</topic><topic>Medical imaging equipment</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Nuclear Medicine</topic><topic>Patients</topic><topic>Radiology</topic><topic>Relative anisotropy</topic><topic>Statistical analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Amin, Esraa Saleh</creatorcontrib><creatorcontrib>Elsharawy, Fatma Anas</creatorcontrib><creatorcontrib>Mlees, Mohamed Ali</creatorcontrib><creatorcontrib>EL-Saeid, Haytham Haroun</creatorcontrib><creatorcontrib>Dawoud, Mohammed Fathy</creatorcontrib><collection>Springer Open Access</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest_Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Egyptian Journal of Radiology and Nuclear Medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Amin, Esraa Saleh</au><au>Elsharawy, Fatma Anas</au><au>Mlees, Mohamed Ali</au><au>EL-Saeid, Haytham Haroun</au><au>Dawoud, Mohammed Fathy</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Diffusion tensor magnetic resonance imaging in differentiation of breast lesions</atitle><jtitle>Egyptian Journal of Radiology and Nuclear Medicine</jtitle><stitle>Egypt J Radiol Nucl Med</stitle><date>2023-12-01</date><risdate>2023</risdate><volume>54</volume><issue>1</issue><spage>22</spage><epage>13</epage><pages>22-13</pages><artnum>22</artnum><issn>2090-4762</issn><issn>0378-603X</issn><eissn>2090-4762</eissn><abstract>Background
Diffusion tensor imaging (DTI) is a novel approach which uses extra gradients to quantify diffusion in several directions (at least six). The purpose of this research was to determine the role of diffusion tensor magnetic resonance imaging in breast lesion differentiation.
Results
Apparent diffusion coefficient (ADC) values were significantly lower in malignant than benign lesions, with a cut-off value of 1.21 × 10
−3
mm
2
/s, this gives a sensitivity of 88.46%, specificity 87.50% and accuracy 86.7%. Values of fractional anisotropy (FA) were higher significantly in malignant compared to benign lesions with a 0.15 cut-off value, has a 95.83% sensitivity, 96.15% specificity, and 95.6%, accuracy. Values of RA were significantly higher in malignant (0.180 ± 0.068) compared to benign lesions, with 0.13 cut-off value. Sensitivity, specificity, and accuracy were, respectively, 91.69%, 92.31%, and 90.2%. Values of
λ
1 were significantly lower in malignant (1.4 ± 0.453 × 10
−3
mm
2
/s) than in benign (2.19 ± 0.659 × 10
−3
mm
2
/s) lesions with a cut-off value of 1.71 × 10
−3
mm
2
/s. Sensitivity and specificity were, respectively, 95.83 and 96.15%. The combined evaluation by (dynamic contrast enhancement) Sensitivity improved to 100% with DCE and DTI readings, while specificity remained at 95.6%.
Conclusions
DTI breast imaging is a noninvasive procedure which demonstrated a high potential utility for cancer detection and serving as a standalone technique or in conjunction with DCE-MRI, the discriminating values of FA,
λ
1 and
λ
1–
λ
3 were high. Their measurements were strongly associated with identification breast malignancy and combined evaluation by DTI parameters and DCE-MRI DTI enhanced the sensitivity, lowered the rate of false-negatives, and completely improved the accuracy of breast lesions differential diagnosis.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1186/s43055-022-00886-x</doi><tpages>13</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Anisotropy Biopsy Breast cancer Breast lesions Cancer therapies Comparative analysis Diffusion tensor magnetic resonance imaging Eigenvalues Family medical history Fractional anisotropy Imaging Magnetic resonance imaging Mammography Medical imaging equipment Medicine Medicine & Public Health Nuclear Medicine Patients Radiology Relative anisotropy Statistical analysis |
title | Diffusion tensor magnetic resonance imaging in differentiation of breast lesions |
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