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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Egyptian Journal of Radiology and Nuclear Medicine 2023-12, Vol.54 (1), p.22-13, Article 22
Hauptverfasser: Amin, Esraa Saleh, Elsharawy, Fatma Anas, Mlees, Mohamed Ali, EL-Saeid, Haytham Haroun, Dawoud, Mohammed Fathy
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 13
container_issue 1
container_start_page 22
container_title Egyptian Journal of Radiology and Nuclear Medicine
container_volume 54
creator Amin, Esraa Saleh
Elsharawy, Fatma Anas
Mlees, Mohamed Ali
EL-Saeid, Haytham Haroun
Dawoud, Mohammed Fathy
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 &amp; 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 &amp; 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 &amp; 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 &amp; 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 &amp; Medical Complete (Alumni)</collection><collection>Health &amp; 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>
fulltext fulltext
identifier ISSN: 2090-4762
ispartof Egyptian Journal of Radiology and Nuclear Medicine, 2023-12, Vol.54 (1), p.22-13, Article 22
issn 2090-4762
0378-603X
2090-4762
language eng
recordid cdi_proquest_journals_2771199075
source Springer Open Access; DOAJ Directory of Open Access Journals; EZB*
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
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-12T05%3A40%3A59IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Diffusion%20tensor%20magnetic%20resonance%20imaging%20in%20differentiation%20of%20breast%20lesions&rft.jtitle=Egyptian%20Journal%20of%20Radiology%20and%20Nuclear%20Medicine&rft.au=Amin,%20Esraa%20Saleh&rft.date=2023-12-01&rft.volume=54&rft.issue=1&rft.spage=22&rft.epage=13&rft.pages=22-13&rft.artnum=22&rft.issn=2090-4762&rft.eissn=2090-4762&rft_id=info:doi/10.1186/s43055-022-00886-x&rft_dat=%3Cgale_doaj_%3EA735458650%3C/gale_doaj_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2771199075&rft_id=info:pmid/&rft_galeid=A735458650&rft_doaj_id=oai_doaj_org_article_11f44a7326ad4e8e9aa37874ec644ab4&rfr_iscdi=true