对比增强型乳腺 X 射线摄影用于乳腺癌分子亚型和肿瘤等级的非侵入性分化

M. R. M. BASMA M. ALKALAAWY, M.D.*; OMNIA
{"title":"对比增强型乳腺 X 射线摄影用于乳腺癌分子亚型和肿瘤等级的非侵入性分化","authors":"M. R. M. BASMA M. ALKALAAWY, M.D.*; OMNIA","doi":"10.21608/mjcu.2023.326216","DOIUrl":null,"url":null,"abstract":"Background: Breast cancer is a heterogenous disease with different molecular subtypes. Each molecular subtype has its own prognosis and management. Identifying this molecular subtype is necessary to allow individualized patient treatment. CESM has the potential to non-invasively differentiate the various molecular subtypes of breast cancer. In this manner it can provide information about the tumoras a wholenot just the biopsied part of the tumor. Aim of Study: Assess Contrast enhanced spectral mammography as a non-invasive imaging tool in predicting molecular subtypes of breast cancer and tumor grade. Patients and Methods: This study includes 95 female patients with 98 breast lesions in the time period from January 2021 to February 2022. All breast lesions were assessed by Digital mammography and ultrasound, followed by contrast mammography. Biopsy was then performed (BIRADS 4&5) to identify the pathologic type and tumor grade followed by immunohistochemistry to identify the molecular subtype of each tumor. The dominant feature of each molecular subtype on contrast mammography was recorded regarding lesion morphology (mass/distortion/asymmetry/pathological microcal-cification/lesion margins) and pattern of enhancement. Results: Chi square ( x 2) test shows a significant association between lesion margins and the various molecular subtypes of breast cancer ( p =0.014). It also shows a significant association between molecular subtype and tumor grade ( p =0.018). However, the enhancement pattern didn't reflect a significant association to the molecular subtypes ( p =0.101 for mass enhancement and 0.419 for NME)","PeriodicalId":22964,"journal":{"name":"The Medical Journal of Cairo University","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Contrast Enhanced Mammography for the Non-Invasive Differentiation of Breast Cancer Molecular Subtypes and Tumor Grade\",\"authors\":\"M. R. M. BASMA M. ALKALAAWY, M.D.*; OMNIA\",\"doi\":\"10.21608/mjcu.2023.326216\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Background: Breast cancer is a heterogenous disease with different molecular subtypes. Each molecular subtype has its own prognosis and management. Identifying this molecular subtype is necessary to allow individualized patient treatment. CESM has the potential to non-invasively differentiate the various molecular subtypes of breast cancer. In this manner it can provide information about the tumoras a wholenot just the biopsied part of the tumor. Aim of Study: Assess Contrast enhanced spectral mammography as a non-invasive imaging tool in predicting molecular subtypes of breast cancer and tumor grade. Patients and Methods: This study includes 95 female patients with 98 breast lesions in the time period from January 2021 to February 2022. All breast lesions were assessed by Digital mammography and ultrasound, followed by contrast mammography. Biopsy was then performed (BIRADS 4&5) to identify the pathologic type and tumor grade followed by immunohistochemistry to identify the molecular subtype of each tumor. The dominant feature of each molecular subtype on contrast mammography was recorded regarding lesion morphology (mass/distortion/asymmetry/pathological microcal-cification/lesion margins) and pattern of enhancement. Results: Chi square ( x 2) test shows a significant association between lesion margins and the various molecular subtypes of breast cancer ( p =0.014). It also shows a significant association between molecular subtype and tumor grade ( p =0.018). However, the enhancement pattern didn't reflect a significant association to the molecular subtypes ( p =0.101 for mass enhancement and 0.419 for NME)\",\"PeriodicalId\":22964,\"journal\":{\"name\":\"The Medical Journal of Cairo University\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The Medical Journal of Cairo University\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.21608/mjcu.2023.326216\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Medical Journal of Cairo University","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21608/mjcu.2023.326216","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

背景:乳腺癌是一种具有不同分子亚型的异质性疾病。每种分子亚型都有自己的预后和治疗方法。要对患者进行个体化治疗,就必须确定这种分子亚型。CESM 具有无创区分乳腺癌各种分子亚型的潜力。这样,它就能提供有关肿瘤整体而不仅仅是肿瘤活检部分的信息。研究目的评估对比增强型光谱乳腺 X 线照相术作为一种非侵入性成像工具在预测乳腺癌分子亚型和肿瘤分级方面的作用。患者和方法:本研究包括 95 名女性患者,98 例乳腺病变,时间段为 2021 年 1 月至 2022 年 2 月。所有乳腺病变均通过数字乳腺 X 线照相术和超声波检查进行评估,然后进行对比乳腺 X 线照相术。然后进行活检(BIRADS 4&5),确定病理类型和肿瘤等级,再通过免疫组化确定每个肿瘤的分子亚型。对比乳腺造影术记录了每种分子亚型在病变形态(肿块/变形/不对称/病理微钙化/病变边缘)和增强模式方面的主要特征。结果:Chi square ( x 2) 检验表明,病灶边缘与乳腺癌的各种分子亚型之间存在显著关联 ( p =0.014)。此外,分子亚型与肿瘤分级之间也存在明显关联(P =0.018)。然而,增强模式与分子亚型并无明显关联(肿块增强的 p =0.101,NME 的 p =0.419)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Contrast Enhanced Mammography for the Non-Invasive Differentiation of Breast Cancer Molecular Subtypes and Tumor Grade
Background: Breast cancer is a heterogenous disease with different molecular subtypes. Each molecular subtype has its own prognosis and management. Identifying this molecular subtype is necessary to allow individualized patient treatment. CESM has the potential to non-invasively differentiate the various molecular subtypes of breast cancer. In this manner it can provide information about the tumoras a wholenot just the biopsied part of the tumor. Aim of Study: Assess Contrast enhanced spectral mammography as a non-invasive imaging tool in predicting molecular subtypes of breast cancer and tumor grade. Patients and Methods: This study includes 95 female patients with 98 breast lesions in the time period from January 2021 to February 2022. All breast lesions were assessed by Digital mammography and ultrasound, followed by contrast mammography. Biopsy was then performed (BIRADS 4&5) to identify the pathologic type and tumor grade followed by immunohistochemistry to identify the molecular subtype of each tumor. The dominant feature of each molecular subtype on contrast mammography was recorded regarding lesion morphology (mass/distortion/asymmetry/pathological microcal-cification/lesion margins) and pattern of enhancement. Results: Chi square ( x 2) test shows a significant association between lesion margins and the various molecular subtypes of breast cancer ( p =0.014). It also shows a significant association between molecular subtype and tumor grade ( p =0.018). However, the enhancement pattern didn't reflect a significant association to the molecular subtypes ( p =0.101 for mass enhancement and 0.419 for NME)
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Effectiveness of Vestibular Versus Dual-Task Training on Balance in Children with Diplegic Cerebral Palsy Idiopathic Granulomatous Mastitis: How to identify by Imaging Features? Predictors of Mortality for Patients with Severe COVID-19 Admitted to the Intensive Care Unit Functional Outcome of Microscopic Lumbar Discectomy for the Treatment of Lumbar Disc Prolapse Factors Affecting Visual Outcomes after Transsphenoidal Pituitary Adenectomy
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1