Loading…

Breast density and the likelihood of malignant MRI-detected lesions in women diagnosed with breast cancer

Objectives To assess whether mammographic breast density in women diagnosed with breast cancer correlates with the total number of incidental magnetic resonance imaging (MRI)-detected lesions and the likelihood of the lesions being malignant. Methods Patients diagnosed with breast cancer meeting the...

Full description

Saved in:
Bibliographic Details
Published in:European radiology 2023-11, Vol.33 (11), p.8080-8088
Main Authors: Sassi, Antti, Salminen, Annukka, Jukkola, Arja, Tervo, Maija, Mäenpää, Niina, Turtiainen, Saara, Tiainen, Leena, Liimatainen, Timo, Tolonen, Teemu, Huhtala, Heini, Rinta-Kiikka, Irina, Arponen, Otso
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c475t-67f222d946e5093874b9fe14723265701ce6aae42f838c766227fc552fd850ed3
cites cdi_FETCH-LOGICAL-c475t-67f222d946e5093874b9fe14723265701ce6aae42f838c766227fc552fd850ed3
container_end_page 8088
container_issue 11
container_start_page 8080
container_title European radiology
container_volume 33
creator Sassi, Antti
Salminen, Annukka
Jukkola, Arja
Tervo, Maija
Mäenpää, Niina
Turtiainen, Saara
Tiainen, Leena
Liimatainen, Timo
Tolonen, Teemu
Huhtala, Heini
Rinta-Kiikka, Irina
Arponen, Otso
description Objectives To assess whether mammographic breast density in women diagnosed with breast cancer correlates with the total number of incidental magnetic resonance imaging (MRI)-detected lesions and the likelihood of the lesions being malignant. Methods Patients diagnosed with breast cancer meeting the EUSOBI and EUSOMA criteria for preoperative breast MRI routinely undergo mammography and ultrasound before MRI at our institution. Incidental suspicious breast lesions detected in MRI are biopsied. We included patients diagnosed with invasive breast cancers between 2014 and 2019 who underwent preoperative breast MRI. One reader retrospectively determined breast density categories according to the 5 th edition of the BI-RADS lexicon. Results Of 946 patients with 973 malignant primary breast tumors, 166 (17.5%) had a total of 175 (18.0%) incidental MRI-detected lesions (82 (46.9%) malignant and 93 (53.1%) benign). High breast density according to BI-RADS was associated with higher incidence of all incidental enhancing lesions in preoperative breast MRIs: 2.66 (95% confidence interval: 1.03–6.86) higher for BI-RADS density category B, 2.68 (1.04–6.92) for category C, and 3.67 (1.36–9.93) for category D compared to category A ( p < 0.05). However, high breast density did not predict higher incidence of malignant incidental lesions ( p = 0.741). Incidental MRI-detected lesions in the contralateral breast were more likely benign ( p < 0.001): 18 (27.3%)/48 (72.7%) vs. 64 (58.7%)/45 (41.3%) malignant/benign incidental lesions in contralateral vs. ipsilateral breasts. Conclusion Women diagnosed with breast cancer who have dense breasts have more incidental MRI-detected lesions, but higher breast density does not translate to increased likelihood of malignant incidental lesions. Clinical relevance statement Dense breasts should not be considered as an indication for preoperative breast MRI in women diagnosed with breast cancer. Key Points • The role of preoperative MRI of patients with dense breasts diagnosed with breast cancer is under debate. • Women with denser breasts have a higher incidence of all MRI-detected incidental breast lesions, but the incidence of malignant MRI-detected incidental lesions is not higher than in women with fatty breasts. • High breast density alone should not indicate preoperative breast MRI.
doi_str_mv 10.1007/s00330-023-10072-w
format article
fullrecord <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10598189</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2881053980</sourcerecordid><originalsourceid>FETCH-LOGICAL-c475t-67f222d946e5093874b9fe14723265701ce6aae42f838c766227fc552fd850ed3</originalsourceid><addsrcrecordid>eNp9kctuFDEQRS1ERB7wAyyQJTZsGvzqtr1CJEogUiIkBGvLY1fPOHTbwfYwyt_HoUMILFjZpXvqVpUuQi8peUsJke8KIZyTjjDe3dWs2z1BB1Rw1kolnj7676PDUq4IIZoK-QztczmIQVFxgMJxBlsq9hBLqDfYRo_rBvAUvsMUNil5nEY82ymso40VX3457zxUcBU8nqCEFAsOEe_SDBH7YNcxlSbtQt3g1eLtbHSQn6O90U4FXty_R-jb2enXk0_dxeeP5ycfLjonZF-7QY6MMa_FAD3RXEmx0iO0tRlnQy8JdTBYC4KNiisnh4ExObq-Z6NXPQHPj9D7xfd6u5rBO4g128lc5zDbfGOSDeZvJYaNWaefhpJeK6p0c3hz75DTjy2UauZQHEyTjZC2xTDVK60JJbShr_9Br9I2x3Zfo1Rz5FqRRrGFcjmVkmF82IYScxedWaI0LcpfNTO71vTq8R0PLb-zawBfgNKkuIb8Z_Z_bG8BsbiqfQ</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2881053980</pqid></control><display><type>article</type><title>Breast density and the likelihood of malignant MRI-detected lesions in women diagnosed with breast cancer</title><source>Springer Nature</source><creator>Sassi, Antti ; Salminen, Annukka ; Jukkola, Arja ; Tervo, Maija ; Mäenpää, Niina ; Turtiainen, Saara ; Tiainen, Leena ; Liimatainen, Timo ; Tolonen, Teemu ; Huhtala, Heini ; Rinta-Kiikka, Irina ; Arponen, Otso</creator><creatorcontrib>Sassi, Antti ; Salminen, Annukka ; Jukkola, Arja ; Tervo, Maija ; Mäenpää, Niina ; Turtiainen, Saara ; Tiainen, Leena ; Liimatainen, Timo ; Tolonen, Teemu ; Huhtala, Heini ; Rinta-Kiikka, Irina ; Arponen, Otso</creatorcontrib><description>Objectives To assess whether mammographic breast density in women diagnosed with breast cancer correlates with the total number of incidental magnetic resonance imaging (MRI)-detected lesions and the likelihood of the lesions being malignant. Methods Patients diagnosed with breast cancer meeting the EUSOBI and EUSOMA criteria for preoperative breast MRI routinely undergo mammography and ultrasound before MRI at our institution. Incidental suspicious breast lesions detected in MRI are biopsied. We included patients diagnosed with invasive breast cancers between 2014 and 2019 who underwent preoperative breast MRI. One reader retrospectively determined breast density categories according to the 5 th edition of the BI-RADS lexicon. Results Of 946 patients with 973 malignant primary breast tumors, 166 (17.5%) had a total of 175 (18.0%) incidental MRI-detected lesions (82 (46.9%) malignant and 93 (53.1%) benign). High breast density according to BI-RADS was associated with higher incidence of all incidental enhancing lesions in preoperative breast MRIs: 2.66 (95% confidence interval: 1.03–6.86) higher for BI-RADS density category B, 2.68 (1.04–6.92) for category C, and 3.67 (1.36–9.93) for category D compared to category A ( p &lt; 0.05). However, high breast density did not predict higher incidence of malignant incidental lesions ( p = 0.741). Incidental MRI-detected lesions in the contralateral breast were more likely benign ( p &lt; 0.001): 18 (27.3%)/48 (72.7%) vs. 64 (58.7%)/45 (41.3%) malignant/benign incidental lesions in contralateral vs. ipsilateral breasts. Conclusion Women diagnosed with breast cancer who have dense breasts have more incidental MRI-detected lesions, but higher breast density does not translate to increased likelihood of malignant incidental lesions. Clinical relevance statement Dense breasts should not be considered as an indication for preoperative breast MRI in women diagnosed with breast cancer. Key Points • The role of preoperative MRI of patients with dense breasts diagnosed with breast cancer is under debate. • Women with denser breasts have a higher incidence of all MRI-detected incidental breast lesions, but the incidence of malignant MRI-detected incidental lesions is not higher than in women with fatty breasts. • High breast density alone should not indicate preoperative breast MRI.</description><identifier>ISSN: 1432-1084</identifier><identifier>ISSN: 0938-7994</identifier><identifier>EISSN: 1432-1084</identifier><identifier>DOI: 10.1007/s00330-023-10072-w</identifier><identifier>PMID: 37646814</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Breast ; Breast - diagnostic imaging ; Breast - pathology ; Breast cancer ; Breast Density ; Breast Neoplasms - diagnosis ; Density ; Diagnostic Radiology ; Female ; Humans ; Imaging ; Internal Medicine ; Interventional Radiology ; Lesions ; Magnetic resonance imaging ; Magnetic Resonance Imaging - methods ; Mammography ; Mammography - methods ; Medicine ; Medicine &amp; Public Health ; Neuroradiology ; Radiology ; Retrospective Studies ; Tumors ; Ultrasound</subject><ispartof>European radiology, 2023-11, Vol.33 (11), p.8080-8088</ispartof><rights>The Author(s) 2023</rights><rights>2023. The Author(s).</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><citedby>FETCH-LOGICAL-c475t-67f222d946e5093874b9fe14723265701ce6aae42f838c766227fc552fd850ed3</citedby><cites>FETCH-LOGICAL-c475t-67f222d946e5093874b9fe14723265701ce6aae42f838c766227fc552fd850ed3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27923,27924</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37646814$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Sassi, Antti</creatorcontrib><creatorcontrib>Salminen, Annukka</creatorcontrib><creatorcontrib>Jukkola, Arja</creatorcontrib><creatorcontrib>Tervo, Maija</creatorcontrib><creatorcontrib>Mäenpää, Niina</creatorcontrib><creatorcontrib>Turtiainen, Saara</creatorcontrib><creatorcontrib>Tiainen, Leena</creatorcontrib><creatorcontrib>Liimatainen, Timo</creatorcontrib><creatorcontrib>Tolonen, Teemu</creatorcontrib><creatorcontrib>Huhtala, Heini</creatorcontrib><creatorcontrib>Rinta-Kiikka, Irina</creatorcontrib><creatorcontrib>Arponen, Otso</creatorcontrib><title>Breast density and the likelihood of malignant MRI-detected lesions in women diagnosed with breast cancer</title><title>European radiology</title><addtitle>Eur Radiol</addtitle><addtitle>Eur Radiol</addtitle><description>Objectives To assess whether mammographic breast density in women diagnosed with breast cancer correlates with the total number of incidental magnetic resonance imaging (MRI)-detected lesions and the likelihood of the lesions being malignant. Methods Patients diagnosed with breast cancer meeting the EUSOBI and EUSOMA criteria for preoperative breast MRI routinely undergo mammography and ultrasound before MRI at our institution. Incidental suspicious breast lesions detected in MRI are biopsied. We included patients diagnosed with invasive breast cancers between 2014 and 2019 who underwent preoperative breast MRI. One reader retrospectively determined breast density categories according to the 5 th edition of the BI-RADS lexicon. Results Of 946 patients with 973 malignant primary breast tumors, 166 (17.5%) had a total of 175 (18.0%) incidental MRI-detected lesions (82 (46.9%) malignant and 93 (53.1%) benign). High breast density according to BI-RADS was associated with higher incidence of all incidental enhancing lesions in preoperative breast MRIs: 2.66 (95% confidence interval: 1.03–6.86) higher for BI-RADS density category B, 2.68 (1.04–6.92) for category C, and 3.67 (1.36–9.93) for category D compared to category A ( p &lt; 0.05). However, high breast density did not predict higher incidence of malignant incidental lesions ( p = 0.741). Incidental MRI-detected lesions in the contralateral breast were more likely benign ( p &lt; 0.001): 18 (27.3%)/48 (72.7%) vs. 64 (58.7%)/45 (41.3%) malignant/benign incidental lesions in contralateral vs. ipsilateral breasts. Conclusion Women diagnosed with breast cancer who have dense breasts have more incidental MRI-detected lesions, but higher breast density does not translate to increased likelihood of malignant incidental lesions. Clinical relevance statement Dense breasts should not be considered as an indication for preoperative breast MRI in women diagnosed with breast cancer. Key Points • The role of preoperative MRI of patients with dense breasts diagnosed with breast cancer is under debate. • Women with denser breasts have a higher incidence of all MRI-detected incidental breast lesions, but the incidence of malignant MRI-detected incidental lesions is not higher than in women with fatty breasts. • High breast density alone should not indicate preoperative breast MRI.</description><subject>Breast</subject><subject>Breast - diagnostic imaging</subject><subject>Breast - pathology</subject><subject>Breast cancer</subject><subject>Breast Density</subject><subject>Breast Neoplasms - diagnosis</subject><subject>Density</subject><subject>Diagnostic Radiology</subject><subject>Female</subject><subject>Humans</subject><subject>Imaging</subject><subject>Internal Medicine</subject><subject>Interventional Radiology</subject><subject>Lesions</subject><subject>Magnetic resonance imaging</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Mammography</subject><subject>Mammography - methods</subject><subject>Medicine</subject><subject>Medicine &amp; Public Health</subject><subject>Neuroradiology</subject><subject>Radiology</subject><subject>Retrospective Studies</subject><subject>Tumors</subject><subject>Ultrasound</subject><issn>1432-1084</issn><issn>0938-7994</issn><issn>1432-1084</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNp9kctuFDEQRS1ERB7wAyyQJTZsGvzqtr1CJEogUiIkBGvLY1fPOHTbwfYwyt_HoUMILFjZpXvqVpUuQi8peUsJke8KIZyTjjDe3dWs2z1BB1Rw1kolnj7676PDUq4IIZoK-QztczmIQVFxgMJxBlsq9hBLqDfYRo_rBvAUvsMUNil5nEY82ymso40VX3457zxUcBU8nqCEFAsOEe_SDBH7YNcxlSbtQt3g1eLtbHSQn6O90U4FXty_R-jb2enXk0_dxeeP5ycfLjonZF-7QY6MMa_FAD3RXEmx0iO0tRlnQy8JdTBYC4KNiisnh4ExObq-Z6NXPQHPj9D7xfd6u5rBO4g128lc5zDbfGOSDeZvJYaNWaefhpJeK6p0c3hz75DTjy2UauZQHEyTjZC2xTDVK60JJbShr_9Br9I2x3Zfo1Rz5FqRRrGFcjmVkmF82IYScxedWaI0LcpfNTO71vTq8R0PLb-zawBfgNKkuIb8Z_Z_bG8BsbiqfQ</recordid><startdate>20231101</startdate><enddate>20231101</enddate><creator>Sassi, Antti</creator><creator>Salminen, Annukka</creator><creator>Jukkola, Arja</creator><creator>Tervo, Maija</creator><creator>Mäenpää, Niina</creator><creator>Turtiainen, Saara</creator><creator>Tiainen, Leena</creator><creator>Liimatainen, Timo</creator><creator>Tolonen, Teemu</creator><creator>Huhtala, Heini</creator><creator>Rinta-Kiikka, Irina</creator><creator>Arponen, Otso</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>C6C</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>3V.</scope><scope>7QO</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20231101</creationdate><title>Breast density and the likelihood of malignant MRI-detected lesions in women diagnosed with breast cancer</title><author>Sassi, Antti ; Salminen, Annukka ; Jukkola, Arja ; Tervo, Maija ; Mäenpää, Niina ; Turtiainen, Saara ; Tiainen, Leena ; Liimatainen, Timo ; Tolonen, Teemu ; Huhtala, Heini ; Rinta-Kiikka, Irina ; Arponen, Otso</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c475t-67f222d946e5093874b9fe14723265701ce6aae42f838c766227fc552fd850ed3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Breast</topic><topic>Breast - diagnostic imaging</topic><topic>Breast - pathology</topic><topic>Breast cancer</topic><topic>Breast Density</topic><topic>Breast Neoplasms - diagnosis</topic><topic>Density</topic><topic>Diagnostic Radiology</topic><topic>Female</topic><topic>Humans</topic><topic>Imaging</topic><topic>Internal Medicine</topic><topic>Interventional Radiology</topic><topic>Lesions</topic><topic>Magnetic resonance imaging</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Mammography</topic><topic>Mammography - methods</topic><topic>Medicine</topic><topic>Medicine &amp; Public Health</topic><topic>Neuroradiology</topic><topic>Radiology</topic><topic>Retrospective Studies</topic><topic>Tumors</topic><topic>Ultrasound</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sassi, Antti</creatorcontrib><creatorcontrib>Salminen, Annukka</creatorcontrib><creatorcontrib>Jukkola, Arja</creatorcontrib><creatorcontrib>Tervo, Maija</creatorcontrib><creatorcontrib>Mäenpää, Niina</creatorcontrib><creatorcontrib>Turtiainen, Saara</creatorcontrib><creatorcontrib>Tiainen, Leena</creatorcontrib><creatorcontrib>Liimatainen, Timo</creatorcontrib><creatorcontrib>Tolonen, Teemu</creatorcontrib><creatorcontrib>Huhtala, Heini</creatorcontrib><creatorcontrib>Rinta-Kiikka, Irina</creatorcontrib><creatorcontrib>Arponen, Otso</creatorcontrib><collection>SpringerOpen</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Biotechnology Research Abstracts</collection><collection>ProQuest Nursing and Allied Health Journals</collection><collection>ProQuest Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</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</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biological Science Database</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>European radiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sassi, Antti</au><au>Salminen, Annukka</au><au>Jukkola, Arja</au><au>Tervo, Maija</au><au>Mäenpää, Niina</au><au>Turtiainen, Saara</au><au>Tiainen, Leena</au><au>Liimatainen, Timo</au><au>Tolonen, Teemu</au><au>Huhtala, Heini</au><au>Rinta-Kiikka, Irina</au><au>Arponen, Otso</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Breast density and the likelihood of malignant MRI-detected lesions in women diagnosed with breast cancer</atitle><jtitle>European radiology</jtitle><stitle>Eur Radiol</stitle><addtitle>Eur Radiol</addtitle><date>2023-11-01</date><risdate>2023</risdate><volume>33</volume><issue>11</issue><spage>8080</spage><epage>8088</epage><pages>8080-8088</pages><issn>1432-1084</issn><issn>0938-7994</issn><eissn>1432-1084</eissn><abstract>Objectives To assess whether mammographic breast density in women diagnosed with breast cancer correlates with the total number of incidental magnetic resonance imaging (MRI)-detected lesions and the likelihood of the lesions being malignant. Methods Patients diagnosed with breast cancer meeting the EUSOBI and EUSOMA criteria for preoperative breast MRI routinely undergo mammography and ultrasound before MRI at our institution. Incidental suspicious breast lesions detected in MRI are biopsied. We included patients diagnosed with invasive breast cancers between 2014 and 2019 who underwent preoperative breast MRI. One reader retrospectively determined breast density categories according to the 5 th edition of the BI-RADS lexicon. Results Of 946 patients with 973 malignant primary breast tumors, 166 (17.5%) had a total of 175 (18.0%) incidental MRI-detected lesions (82 (46.9%) malignant and 93 (53.1%) benign). High breast density according to BI-RADS was associated with higher incidence of all incidental enhancing lesions in preoperative breast MRIs: 2.66 (95% confidence interval: 1.03–6.86) higher for BI-RADS density category B, 2.68 (1.04–6.92) for category C, and 3.67 (1.36–9.93) for category D compared to category A ( p &lt; 0.05). However, high breast density did not predict higher incidence of malignant incidental lesions ( p = 0.741). Incidental MRI-detected lesions in the contralateral breast were more likely benign ( p &lt; 0.001): 18 (27.3%)/48 (72.7%) vs. 64 (58.7%)/45 (41.3%) malignant/benign incidental lesions in contralateral vs. ipsilateral breasts. Conclusion Women diagnosed with breast cancer who have dense breasts have more incidental MRI-detected lesions, but higher breast density does not translate to increased likelihood of malignant incidental lesions. Clinical relevance statement Dense breasts should not be considered as an indication for preoperative breast MRI in women diagnosed with breast cancer. Key Points • The role of preoperative MRI of patients with dense breasts diagnosed with breast cancer is under debate. • Women with denser breasts have a higher incidence of all MRI-detected incidental breast lesions, but the incidence of malignant MRI-detected incidental lesions is not higher than in women with fatty breasts. • High breast density alone should not indicate preoperative breast MRI.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>37646814</pmid><doi>10.1007/s00330-023-10072-w</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1432-1084
ispartof European radiology, 2023-11, Vol.33 (11), p.8080-8088
issn 1432-1084
0938-7994
1432-1084
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10598189
source Springer Nature
subjects Breast
Breast - diagnostic imaging
Breast - pathology
Breast cancer
Breast Density
Breast Neoplasms - diagnosis
Density
Diagnostic Radiology
Female
Humans
Imaging
Internal Medicine
Interventional Radiology
Lesions
Magnetic resonance imaging
Magnetic Resonance Imaging - methods
Mammography
Mammography - methods
Medicine
Medicine & Public Health
Neuroradiology
Radiology
Retrospective Studies
Tumors
Ultrasound
title Breast density and the likelihood of malignant MRI-detected lesions in women diagnosed with breast cancer
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-10T23%3A44%3A10IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Breast%20density%20and%20the%20likelihood%20of%20malignant%20MRI-detected%20lesions%20in%20women%20diagnosed%20with%20breast%20cancer&rft.jtitle=European%20radiology&rft.au=Sassi,%20Antti&rft.date=2023-11-01&rft.volume=33&rft.issue=11&rft.spage=8080&rft.epage=8088&rft.pages=8080-8088&rft.issn=1432-1084&rft.eissn=1432-1084&rft_id=info:doi/10.1007/s00330-023-10072-w&rft_dat=%3Cproquest_pubme%3E2881053980%3C/proquest_pubme%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c475t-67f222d946e5093874b9fe14723265701ce6aae42f838c766227fc552fd850ed3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2881053980&rft_id=info:pmid/37646814&rfr_iscdi=true