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Changes in Automated Mammographic Breast Density Can Predict Pathological Response After Neoadjuvant Chemotherapy in Breast Cancer
Mammographic density is an independent risk factor for breast cancer that can change after neoadjuvant chemotherapy (NCT). This study aimed to evaluate percent changes in volumetric breast density (ΔVbd%) before and after NCT measured automatically and determine its value as a predictive marker of p...
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Published in: | Korean journal of radiology 2023-05, Vol.24 (5), p.384-394 |
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creator | Ahn, Jee Hyun Go, Jieon Lee, Suk Jun Kim, Jee Ye Park, Hyung Seok Kim, Seung Il Park, Byeong-Woo Park, Vivian Youngjean Yoon, Jung Hyun Kim, Min Jung Park, Seho |
description | Mammographic density is an independent risk factor for breast cancer that can change after neoadjuvant chemotherapy (NCT). This study aimed to evaluate percent changes in volumetric breast density (ΔVbd%) before and after NCT measured automatically and determine its value as a predictive marker of pathological response to NCT.
A total of 357 patients with breast cancer treated between January 2014 and December 2016 were included. An automated volumetric breast density (Vbd) measurement method was used to calculate Vbd on mammography before and after NCT. Patients were divided into three groups according to ΔVbd%, calculated as follows: Vbd (post-NCT - pre-NCT)/pre-NCT Vbd × 100 (%). The stable, decreased, and increased groups were defined as -20% ≤ ΔVbd% ≤ 20%, ΔVbd% < -20%, and ΔVbd% > 20%, respectively. Pathological complete response (pCR) was considered to be achieved after NCT if there was no evidence of invasive carcinoma in the breast or metastatic tumors in the axillary and regional lymph nodes on surgical pathology. The association between ΔVbd% grouping and pCR was analyzed using univariable and multivariable logistic regression analyses.
The interval between the pre-NCT and post-NCT mammograms ranged from 79 to 250 days (median, 170 days). In the multivariable analysis, ΔVbd% grouping (odds ratio for pCR of 0.420 [95% confidence interval, 0.195-0.905;
= 0.027] for the decreased group compared with the stable group), N stage at diagnosis, histologic grade, and breast cancer subtype were significantly associated with pCR. This tendency was more evident in the luminal B-like and triple-negative subtypes.
ΔVbd% was associated with pCR in breast cancer after NCT, with the decreased group showing a lower rate of pCR than the stable group. Automated measurement of ΔVbd% may help predict the NCT response and prognosis in breast cancer. |
doi_str_mv | 10.3348/kjr.2022.0629 |
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A total of 357 patients with breast cancer treated between January 2014 and December 2016 were included. An automated volumetric breast density (Vbd) measurement method was used to calculate Vbd on mammography before and after NCT. Patients were divided into three groups according to ΔVbd%, calculated as follows: Vbd (post-NCT - pre-NCT)/pre-NCT Vbd × 100 (%). The stable, decreased, and increased groups were defined as -20% ≤ ΔVbd% ≤ 20%, ΔVbd% < -20%, and ΔVbd% > 20%, respectively. Pathological complete response (pCR) was considered to be achieved after NCT if there was no evidence of invasive carcinoma in the breast or metastatic tumors in the axillary and regional lymph nodes on surgical pathology. The association between ΔVbd% grouping and pCR was analyzed using univariable and multivariable logistic regression analyses.
The interval between the pre-NCT and post-NCT mammograms ranged from 79 to 250 days (median, 170 days). In the multivariable analysis, ΔVbd% grouping (odds ratio for pCR of 0.420 [95% confidence interval, 0.195-0.905;
= 0.027] for the decreased group compared with the stable group), N stage at diagnosis, histologic grade, and breast cancer subtype were significantly associated with pCR. This tendency was more evident in the luminal B-like and triple-negative subtypes.
ΔVbd% was associated with pCR in breast cancer after NCT, with the decreased group showing a lower rate of pCR than the stable group. Automated measurement of ΔVbd% may help predict the NCT response and prognosis in breast cancer.</description><identifier>ISSN: 1229-6929</identifier><identifier>EISSN: 2005-8330</identifier><identifier>DOI: 10.3348/kjr.2022.0629</identifier><identifier>PMID: 37133209</identifier><language>eng</language><publisher>Korea (South): The Korean Society of Radiology</publisher><subject>Age ; Automation ; Breast - diagnostic imaging ; Breast - pathology ; Breast cancer ; Breast Density ; Breast Imaging ; Breast Neoplasms - diagnostic imaging ; Breast Neoplasms - drug therapy ; Breast Neoplasms - pathology ; Cancer therapies ; Chemotherapy ; Female ; Hormone replacement therapy ; Humans ; Mammography ; Medical prognosis ; Neoadjuvant Therapy - methods ; Pathology ; Patients ; Retrospective Studies ; Software ; Surgery ; Tumors</subject><ispartof>Korean journal of radiology, 2023-05, Vol.24 (5), p.384-394</ispartof><rights>Copyright © 2023 The Korean Society of Radiology.</rights><rights>2023. This work is published under https://creativecommons.org/licenses/by-nc/4.0 (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Copyright © 2023 The Korean Society of Radiology 2023 The Korean Society of Radiology</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c416t-430b888d8c130b200feea56e258a3ecf8b4fd9dfa2aeaba79fd19073047cc2b53</citedby><cites>FETCH-LOGICAL-c416t-430b888d8c130b200feea56e258a3ecf8b4fd9dfa2aeaba79fd19073047cc2b53</cites><orcidid>0000-0003-4176-3277 ; 0000-0002-2100-3513 ; 0000-0002-4827-0929 ; 0000-0001-9673-2748 ; 0000-0003-4949-1237 ; 0000-0001-8089-2755 ; 0000-0003-3839-5071 ; 0000-0001-5322-6036 ; 0000-0002-5135-4058 ; 0000-0003-1353-2607 ; 0000-0003-3936-4410</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2808044438/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2808044438?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,25732,27903,27904,36991,36992,44569,53770,53772,74873</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37133209$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ahn, Jee Hyun</creatorcontrib><creatorcontrib>Go, Jieon</creatorcontrib><creatorcontrib>Lee, Suk Jun</creatorcontrib><creatorcontrib>Kim, Jee Ye</creatorcontrib><creatorcontrib>Park, Hyung Seok</creatorcontrib><creatorcontrib>Kim, Seung Il</creatorcontrib><creatorcontrib>Park, Byeong-Woo</creatorcontrib><creatorcontrib>Park, Vivian Youngjean</creatorcontrib><creatorcontrib>Yoon, Jung Hyun</creatorcontrib><creatorcontrib>Kim, Min Jung</creatorcontrib><creatorcontrib>Park, Seho</creatorcontrib><title>Changes in Automated Mammographic Breast Density Can Predict Pathological Response After Neoadjuvant Chemotherapy in Breast Cancer</title><title>Korean journal of radiology</title><addtitle>Korean J Radiol</addtitle><description>Mammographic density is an independent risk factor for breast cancer that can change after neoadjuvant chemotherapy (NCT). This study aimed to evaluate percent changes in volumetric breast density (ΔVbd%) before and after NCT measured automatically and determine its value as a predictive marker of pathological response to NCT.
A total of 357 patients with breast cancer treated between January 2014 and December 2016 were included. An automated volumetric breast density (Vbd) measurement method was used to calculate Vbd on mammography before and after NCT. Patients were divided into three groups according to ΔVbd%, calculated as follows: Vbd (post-NCT - pre-NCT)/pre-NCT Vbd × 100 (%). The stable, decreased, and increased groups were defined as -20% ≤ ΔVbd% ≤ 20%, ΔVbd% < -20%, and ΔVbd% > 20%, respectively. Pathological complete response (pCR) was considered to be achieved after NCT if there was no evidence of invasive carcinoma in the breast or metastatic tumors in the axillary and regional lymph nodes on surgical pathology. The association between ΔVbd% grouping and pCR was analyzed using univariable and multivariable logistic regression analyses.
The interval between the pre-NCT and post-NCT mammograms ranged from 79 to 250 days (median, 170 days). In the multivariable analysis, ΔVbd% grouping (odds ratio for pCR of 0.420 [95% confidence interval, 0.195-0.905;
= 0.027] for the decreased group compared with the stable group), N stage at diagnosis, histologic grade, and breast cancer subtype were significantly associated with pCR. This tendency was more evident in the luminal B-like and triple-negative subtypes.
ΔVbd% was associated with pCR in breast cancer after NCT, with the decreased group showing a lower rate of pCR than the stable group. Automated measurement of ΔVbd% may help predict the NCT response and prognosis in breast cancer.</description><subject>Age</subject><subject>Automation</subject><subject>Breast - diagnostic imaging</subject><subject>Breast - pathology</subject><subject>Breast cancer</subject><subject>Breast Density</subject><subject>Breast Imaging</subject><subject>Breast Neoplasms - diagnostic imaging</subject><subject>Breast Neoplasms - drug therapy</subject><subject>Breast Neoplasms - pathology</subject><subject>Cancer therapies</subject><subject>Chemotherapy</subject><subject>Female</subject><subject>Hormone replacement therapy</subject><subject>Humans</subject><subject>Mammography</subject><subject>Medical prognosis</subject><subject>Neoadjuvant Therapy - methods</subject><subject>Pathology</subject><subject>Patients</subject><subject>Retrospective Studies</subject><subject>Software</subject><subject>Surgery</subject><subject>Tumors</subject><issn>1229-6929</issn><issn>2005-8330</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><recordid>eNpdkU1v1DAURS0EokNhyRZZYsMmU8dOJvYKDeGrUoEKwdp6cV4mGRJ7sJ1Ks-WX11GHirKyJR-d5_suIS9zthaikBe_9n7NGedrtuHqEVlxxspMCsEek1XOuco2iqsz8iyEPWNcMVk8JWeiyoXgTK3In7oHu8NAB0u3c3QTRGzpF5gmt_Nw6AdD33mEEOl7tGGIR1qDpdce28FEeg2xd6PbDQZG-h3DwdmAdNtF9PQrOmj38w3YSOseJxd7TMbjMumkTCqD_jl50sEY8MXpPCc_P374UX_Orr59uqy3V5kp8k3MCsEaKWUrTZ5uKWaHCOUGeSlBoOlkU3StajvggNBApbo2V6wSrKiM4U0pzsnbO-9hbiZsDdroYdQHP0zgj9rBoB--2KHXO3ejc5aXVVpXMrw5Gbz7PWOIehqCwXEEi24OmkumGBNltQx7_R-6d7O3Kd9CSVYUhZCJyu4o410IHrv73-RML_XqVK9e6tVLvYl_9W-Ee_pvn-IWPk2jkQ</recordid><startdate>20230501</startdate><enddate>20230501</enddate><creator>Ahn, Jee Hyun</creator><creator>Go, Jieon</creator><creator>Lee, Suk Jun</creator><creator>Kim, Jee Ye</creator><creator>Park, Hyung Seok</creator><creator>Kim, Seung Il</creator><creator>Park, Byeong-Woo</creator><creator>Park, Vivian Youngjean</creator><creator>Yoon, Jung Hyun</creator><creator>Kim, Min Jung</creator><creator>Park, Seho</creator><general>The Korean Society of Radiology</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>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-4176-3277</orcidid><orcidid>https://orcid.org/0000-0002-2100-3513</orcidid><orcidid>https://orcid.org/0000-0002-4827-0929</orcidid><orcidid>https://orcid.org/0000-0001-9673-2748</orcidid><orcidid>https://orcid.org/0000-0003-4949-1237</orcidid><orcidid>https://orcid.org/0000-0001-8089-2755</orcidid><orcidid>https://orcid.org/0000-0003-3839-5071</orcidid><orcidid>https://orcid.org/0000-0001-5322-6036</orcidid><orcidid>https://orcid.org/0000-0002-5135-4058</orcidid><orcidid>https://orcid.org/0000-0003-1353-2607</orcidid><orcidid>https://orcid.org/0000-0003-3936-4410</orcidid></search><sort><creationdate>20230501</creationdate><title>Changes in Automated Mammographic Breast Density Can Predict Pathological Response After Neoadjuvant Chemotherapy in Breast Cancer</title><author>Ahn, Jee Hyun ; Go, Jieon ; Lee, Suk Jun ; Kim, Jee Ye ; Park, Hyung Seok ; Kim, Seung Il ; Park, Byeong-Woo ; Park, Vivian Youngjean ; Yoon, Jung Hyun ; Kim, Min Jung ; Park, Seho</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c416t-430b888d8c130b200feea56e258a3ecf8b4fd9dfa2aeaba79fd19073047cc2b53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Age</topic><topic>Automation</topic><topic>Breast - diagnostic imaging</topic><topic>Breast - pathology</topic><topic>Breast cancer</topic><topic>Breast Density</topic><topic>Breast Imaging</topic><topic>Breast Neoplasms - diagnostic imaging</topic><topic>Breast Neoplasms - drug therapy</topic><topic>Breast Neoplasms - pathology</topic><topic>Cancer therapies</topic><topic>Chemotherapy</topic><topic>Female</topic><topic>Hormone replacement therapy</topic><topic>Humans</topic><topic>Mammography</topic><topic>Medical prognosis</topic><topic>Neoadjuvant Therapy - methods</topic><topic>Pathology</topic><topic>Patients</topic><topic>Retrospective Studies</topic><topic>Software</topic><topic>Surgery</topic><topic>Tumors</topic><toplevel>online_resources</toplevel><creatorcontrib>Ahn, Jee Hyun</creatorcontrib><creatorcontrib>Go, Jieon</creatorcontrib><creatorcontrib>Lee, Suk Jun</creatorcontrib><creatorcontrib>Kim, Jee Ye</creatorcontrib><creatorcontrib>Park, Hyung Seok</creatorcontrib><creatorcontrib>Kim, Seung Il</creatorcontrib><creatorcontrib>Park, Byeong-Woo</creatorcontrib><creatorcontrib>Park, Vivian Youngjean</creatorcontrib><creatorcontrib>Yoon, Jung Hyun</creatorcontrib><creatorcontrib>Kim, Min Jung</creatorcontrib><creatorcontrib>Park, Seho</creatorcontrib><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 (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 Korea</collection><collection>Publicly Available Content (ProQuest)</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>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Korean journal of radiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ahn, Jee Hyun</au><au>Go, Jieon</au><au>Lee, Suk Jun</au><au>Kim, Jee Ye</au><au>Park, Hyung Seok</au><au>Kim, Seung Il</au><au>Park, Byeong-Woo</au><au>Park, Vivian Youngjean</au><au>Yoon, Jung Hyun</au><au>Kim, Min Jung</au><au>Park, Seho</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Changes in Automated Mammographic Breast Density Can Predict Pathological Response After Neoadjuvant Chemotherapy in Breast Cancer</atitle><jtitle>Korean journal of radiology</jtitle><addtitle>Korean J Radiol</addtitle><date>2023-05-01</date><risdate>2023</risdate><volume>24</volume><issue>5</issue><spage>384</spage><epage>394</epage><pages>384-394</pages><issn>1229-6929</issn><eissn>2005-8330</eissn><abstract>Mammographic density is an independent risk factor for breast cancer that can change after neoadjuvant chemotherapy (NCT). This study aimed to evaluate percent changes in volumetric breast density (ΔVbd%) before and after NCT measured automatically and determine its value as a predictive marker of pathological response to NCT.
A total of 357 patients with breast cancer treated between January 2014 and December 2016 were included. An automated volumetric breast density (Vbd) measurement method was used to calculate Vbd on mammography before and after NCT. Patients were divided into three groups according to ΔVbd%, calculated as follows: Vbd (post-NCT - pre-NCT)/pre-NCT Vbd × 100 (%). The stable, decreased, and increased groups were defined as -20% ≤ ΔVbd% ≤ 20%, ΔVbd% < -20%, and ΔVbd% > 20%, respectively. Pathological complete response (pCR) was considered to be achieved after NCT if there was no evidence of invasive carcinoma in the breast or metastatic tumors in the axillary and regional lymph nodes on surgical pathology. The association between ΔVbd% grouping and pCR was analyzed using univariable and multivariable logistic regression analyses.
The interval between the pre-NCT and post-NCT mammograms ranged from 79 to 250 days (median, 170 days). In the multivariable analysis, ΔVbd% grouping (odds ratio for pCR of 0.420 [95% confidence interval, 0.195-0.905;
= 0.027] for the decreased group compared with the stable group), N stage at diagnosis, histologic grade, and breast cancer subtype were significantly associated with pCR. This tendency was more evident in the luminal B-like and triple-negative subtypes.
ΔVbd% was associated with pCR in breast cancer after NCT, with the decreased group showing a lower rate of pCR than the stable group. Automated measurement of ΔVbd% may help predict the NCT response and prognosis in breast cancer.</abstract><cop>Korea (South)</cop><pub>The Korean Society of Radiology</pub><pmid>37133209</pmid><doi>10.3348/kjr.2022.0629</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0003-4176-3277</orcidid><orcidid>https://orcid.org/0000-0002-2100-3513</orcidid><orcidid>https://orcid.org/0000-0002-4827-0929</orcidid><orcidid>https://orcid.org/0000-0001-9673-2748</orcidid><orcidid>https://orcid.org/0000-0003-4949-1237</orcidid><orcidid>https://orcid.org/0000-0001-8089-2755</orcidid><orcidid>https://orcid.org/0000-0003-3839-5071</orcidid><orcidid>https://orcid.org/0000-0001-5322-6036</orcidid><orcidid>https://orcid.org/0000-0002-5135-4058</orcidid><orcidid>https://orcid.org/0000-0003-1353-2607</orcidid><orcidid>https://orcid.org/0000-0003-3936-4410</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Age Automation Breast - diagnostic imaging Breast - pathology Breast cancer Breast Density Breast Imaging Breast Neoplasms - diagnostic imaging Breast Neoplasms - drug therapy Breast Neoplasms - pathology Cancer therapies Chemotherapy Female Hormone replacement therapy Humans Mammography Medical prognosis Neoadjuvant Therapy - methods Pathology Patients Retrospective Studies Software Surgery Tumors |
title | Changes in Automated Mammographic Breast Density Can Predict Pathological Response After Neoadjuvant Chemotherapy in Breast Cancer |
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