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Correlation between ultrasonography and elastography parameters and molecular subtypes of breast cancer in young women
To explore the differences of conventional ultrasound characteristics, elastic imaging parameters and clinicopathological characteristics of distinct molecular subtypes of breast cancer in young women, and to identify imaging parameters that exhibited significant associations with each molecular sub...
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Published in: | Annals of medicine (Helsinki) 2025-12, Vol.57 (1), p.2443041 |
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description | To explore the differences of conventional ultrasound characteristics, elastic imaging parameters and clinicopathological characteristics of distinct molecular subtypes of breast cancer in young women, and to identify imaging parameters that exhibited significant associations with each molecular subtype.
We performed a retrospective analysis encompassing 310 young women with breast cancer. Observations were made regarding the ultrasonography and elastography characteristics of the identified breast lesions. Subsequently, based on immunohistochemistry results patients were classified into five distinct molecular subtypes: luminal A, luminal B (HER2-), luminal B (HER2+), HER2+, and triple-negative breast cancer (TNBC). Clinical, pathological, and ultrasound imaging features were compared among these subtypes using binary logistic regression analysis.
Statistically significant differences were observed in various parameters across the five molecular subtypes (
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We performed a retrospective analysis encompassing 310 young women with breast cancer. Observations were made regarding the ultrasonography and elastography characteristics of the identified breast lesions. Subsequently, based on immunohistochemistry results patients were classified into five distinct molecular subtypes: luminal A, luminal B (HER2-), luminal B (HER2+), HER2+, and triple-negative breast cancer (TNBC). Clinical, pathological, and ultrasound imaging features were compared among these subtypes using binary logistic regression analysis.
Statistically significant differences were observed in various parameters across the five molecular subtypes (
< 0.05), including tumor size, morphology, margins, calcification, posterior echo features, blood flow (Adler grading), and tumor hardness. Specifically, luminal A subtype exhibited propensity for spiculated margins, lower blood flow grading, and decreased hardness; luminal B subtype was characterized by angular margins; HER2+ subtype manifested higher blood flow grading, calcification, and elevated hardness. Conversely, TNBC subtype displayed smooth margins, absence of calcification, and heightened hardness.
Specific molecular subtypes of breast cancer have unique ultrasonic and elastic imaging characteristics.</description><identifier>ISSN: 0785-3890</identifier><identifier>ISSN: 1365-2060</identifier><identifier>EISSN: 1365-2060</identifier><identifier>DOI: 10.1080/07853890.2024.2443041</identifier><identifier>PMID: 39731510</identifier><language>eng</language><publisher>England: Taylor & Francis</publisher><subject>Adult ; Breast - diagnostic imaging ; Breast - pathology ; Breast cancer ; Breast Neoplasms - classification ; Breast Neoplasms - diagnostic imaging ; Breast Neoplasms - metabolism ; Breast Neoplasms - pathology ; Elasticity Imaging Techniques - methods ; Female ; Humans ; Middle Aged ; molecular subtype ; Oncology ; Receptor, ErbB-2 - metabolism ; Retrospective Studies ; shear wave elastography ; Triple Negative Breast Neoplasms - classification ; Triple Negative Breast Neoplasms - diagnostic imaging ; Triple Negative Breast Neoplasms - pathology ; ultrasonography ; Ultrasonography, Mammary - methods ; Young Adult ; young women</subject><ispartof>Annals of medicine (Helsinki), 2025-12, Vol.57 (1), p.2443041</ispartof><rights>2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group 2024 The Author(s)</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c356t-cdaf5fb76b167caf97bd91f233cc9f883589ab869c987e7be22adfad64d441dd3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11703390/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11703390/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27903,27904,53770,53772</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39731510$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Men, Dian-Xia</creatorcontrib><creatorcontrib>Li, Hui-Zhan</creatorcontrib><creatorcontrib>Dong, Juan</creatorcontrib><creatorcontrib>Xue, Meng-Hua</creatorcontrib><creatorcontrib>Wang, Zhi-Fen</creatorcontrib><creatorcontrib>Xiao, Wen-Li</creatorcontrib><creatorcontrib>Xue, Ji-Ping</creatorcontrib><creatorcontrib>Jia, Mei-Hong</creatorcontrib><title>Correlation between ultrasonography and elastography parameters and molecular subtypes of breast cancer in young women</title><title>Annals of medicine (Helsinki)</title><addtitle>Ann Med</addtitle><description>To explore the differences of conventional ultrasound characteristics, elastic imaging parameters and clinicopathological characteristics of distinct molecular subtypes of breast cancer in young women, and to identify imaging parameters that exhibited significant associations with each molecular subtype.
We performed a retrospective analysis encompassing 310 young women with breast cancer. Observations were made regarding the ultrasonography and elastography characteristics of the identified breast lesions. Subsequently, based on immunohistochemistry results patients were classified into five distinct molecular subtypes: luminal A, luminal B (HER2-), luminal B (HER2+), HER2+, and triple-negative breast cancer (TNBC). Clinical, pathological, and ultrasound imaging features were compared among these subtypes using binary logistic regression analysis.
Statistically significant differences were observed in various parameters across the five molecular subtypes (
< 0.05), including tumor size, morphology, margins, calcification, posterior echo features, blood flow (Adler grading), and tumor hardness. Specifically, luminal A subtype exhibited propensity for spiculated margins, lower blood flow grading, and decreased hardness; luminal B subtype was characterized by angular margins; HER2+ subtype manifested higher blood flow grading, calcification, and elevated hardness. Conversely, TNBC subtype displayed smooth margins, absence of calcification, and heightened hardness.
Specific molecular subtypes of breast cancer have unique ultrasonic and elastic imaging characteristics.</description><subject>Adult</subject><subject>Breast - diagnostic imaging</subject><subject>Breast - pathology</subject><subject>Breast cancer</subject><subject>Breast Neoplasms - classification</subject><subject>Breast Neoplasms - diagnostic imaging</subject><subject>Breast Neoplasms - metabolism</subject><subject>Breast Neoplasms - pathology</subject><subject>Elasticity Imaging Techniques - methods</subject><subject>Female</subject><subject>Humans</subject><subject>Middle Aged</subject><subject>molecular subtype</subject><subject>Oncology</subject><subject>Receptor, ErbB-2 - metabolism</subject><subject>Retrospective Studies</subject><subject>shear wave elastography</subject><subject>Triple Negative Breast Neoplasms - classification</subject><subject>Triple Negative Breast Neoplasms - diagnostic imaging</subject><subject>Triple Negative Breast Neoplasms - pathology</subject><subject>ultrasonography</subject><subject>Ultrasonography, Mammary - methods</subject><subject>Young Adult</subject><subject>young women</subject><issn>0785-3890</issn><issn>1365-2060</issn><issn>1365-2060</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2025</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNpVkk9v2zAMxY1hw5p2-wgbdNzFGSXZlnUahmB_ChTYZTsLlESnLmwpk-wW-fZ1mqRoTwLI934kqFcUnzisObTwFVRby1bDWoCo1qKqJFT8TbHisqlLAQ28LVYHTXkQXRSXOd8BgFAc3hcXUivJaw6r4n4TU6IBpz4GZml6IApsHqaEOYa4Tbi73TMMni2aPJ0LO0w40kQpP_XGOJCbB0wsz3ba7yiz2DGbaLEwh8FRYn1g-ziHLXuII4UPxbsOh0wfT-9V8e_nj7-b3-XNn1_Xm-83pZN1M5XOY1d3VjWWN8php5X1mndCSud017aybjXattFOt4qUJSHQd-ibylcV915eFddHro94Z3apHzHtTcTePBVi2hpMU-8GMuCbGq2wViGvwFldLadERLWMA4tiYX07snazHck7CsuVhlfQ153Q35ptvDecK5BSw0L4ciKk-H-mPJmxz46GAQPFORvJK922oGWzSOuj1KWYc6LueQ4HcwiAOQfAHAJgTgFYfJ9fLvnsOv-4fATaELCR</recordid><startdate>202512</startdate><enddate>202512</enddate><creator>Men, Dian-Xia</creator><creator>Li, Hui-Zhan</creator><creator>Dong, Juan</creator><creator>Xue, Meng-Hua</creator><creator>Wang, Zhi-Fen</creator><creator>Xiao, Wen-Li</creator><creator>Xue, Ji-Ping</creator><creator>Jia, Mei-Hong</creator><general>Taylor & Francis</general><general>Taylor & Francis Group</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>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>202512</creationdate><title>Correlation between ultrasonography and elastography parameters and molecular subtypes of breast cancer in young women</title><author>Men, Dian-Xia ; Li, Hui-Zhan ; Dong, Juan ; Xue, Meng-Hua ; Wang, Zhi-Fen ; Xiao, Wen-Li ; Xue, Ji-Ping ; Jia, Mei-Hong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c356t-cdaf5fb76b167caf97bd91f233cc9f883589ab869c987e7be22adfad64d441dd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2025</creationdate><topic>Adult</topic><topic>Breast - diagnostic imaging</topic><topic>Breast - pathology</topic><topic>Breast cancer</topic><topic>Breast Neoplasms - classification</topic><topic>Breast Neoplasms - diagnostic imaging</topic><topic>Breast Neoplasms - metabolism</topic><topic>Breast Neoplasms - pathology</topic><topic>Elasticity Imaging Techniques - methods</topic><topic>Female</topic><topic>Humans</topic><topic>Middle Aged</topic><topic>molecular subtype</topic><topic>Oncology</topic><topic>Receptor, ErbB-2 - metabolism</topic><topic>Retrospective Studies</topic><topic>shear wave elastography</topic><topic>Triple Negative Breast Neoplasms - classification</topic><topic>Triple Negative Breast Neoplasms - diagnostic imaging</topic><topic>Triple Negative Breast Neoplasms - pathology</topic><topic>ultrasonography</topic><topic>Ultrasonography, Mammary - methods</topic><topic>Young Adult</topic><topic>young women</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Men, Dian-Xia</creatorcontrib><creatorcontrib>Li, Hui-Zhan</creatorcontrib><creatorcontrib>Dong, Juan</creatorcontrib><creatorcontrib>Xue, Meng-Hua</creatorcontrib><creatorcontrib>Wang, Zhi-Fen</creatorcontrib><creatorcontrib>Xiao, Wen-Li</creatorcontrib><creatorcontrib>Xue, Ji-Ping</creatorcontrib><creatorcontrib>Jia, Mei-Hong</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Annals of medicine (Helsinki)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Men, Dian-Xia</au><au>Li, Hui-Zhan</au><au>Dong, Juan</au><au>Xue, Meng-Hua</au><au>Wang, Zhi-Fen</au><au>Xiao, Wen-Li</au><au>Xue, Ji-Ping</au><au>Jia, Mei-Hong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Correlation between ultrasonography and elastography parameters and molecular subtypes of breast cancer in young women</atitle><jtitle>Annals of medicine (Helsinki)</jtitle><addtitle>Ann Med</addtitle><date>2025-12</date><risdate>2025</risdate><volume>57</volume><issue>1</issue><spage>2443041</spage><pages>2443041-</pages><issn>0785-3890</issn><issn>1365-2060</issn><eissn>1365-2060</eissn><abstract>To explore the differences of conventional ultrasound characteristics, elastic imaging parameters and clinicopathological characteristics of distinct molecular subtypes of breast cancer in young women, and to identify imaging parameters that exhibited significant associations with each molecular subtype.
We performed a retrospective analysis encompassing 310 young women with breast cancer. Observations were made regarding the ultrasonography and elastography characteristics of the identified breast lesions. Subsequently, based on immunohistochemistry results patients were classified into five distinct molecular subtypes: luminal A, luminal B (HER2-), luminal B (HER2+), HER2+, and triple-negative breast cancer (TNBC). Clinical, pathological, and ultrasound imaging features were compared among these subtypes using binary logistic regression analysis.
Statistically significant differences were observed in various parameters across the five molecular subtypes (
< 0.05), including tumor size, morphology, margins, calcification, posterior echo features, blood flow (Adler grading), and tumor hardness. Specifically, luminal A subtype exhibited propensity for spiculated margins, lower blood flow grading, and decreased hardness; luminal B subtype was characterized by angular margins; HER2+ subtype manifested higher blood flow grading, calcification, and elevated hardness. Conversely, TNBC subtype displayed smooth margins, absence of calcification, and heightened hardness.
Specific molecular subtypes of breast cancer have unique ultrasonic and elastic imaging characteristics.</abstract><cop>England</cop><pub>Taylor & Francis</pub><pmid>39731510</pmid><doi>10.1080/07853890.2024.2443041</doi><oa>free_for_read</oa></addata></record> |
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subjects | Adult Breast - diagnostic imaging Breast - pathology Breast cancer Breast Neoplasms - classification Breast Neoplasms - diagnostic imaging Breast Neoplasms - metabolism Breast Neoplasms - pathology Elasticity Imaging Techniques - methods Female Humans Middle Aged molecular subtype Oncology Receptor, ErbB-2 - metabolism Retrospective Studies shear wave elastography Triple Negative Breast Neoplasms - classification Triple Negative Breast Neoplasms - diagnostic imaging Triple Negative Breast Neoplasms - pathology ultrasonography Ultrasonography, Mammary - methods Young Adult young women |
title | Correlation between ultrasonography and elastography parameters and molecular subtypes of breast cancer in young women |
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