Katerina Vassiou , Theodora Kanavou , Marianna Vlychou , Antigoni Poultsidi , Maria Ioannou , Eleftherios Lavdas , Dimitris L. Arvanitis , Ioannis V. Fezoulidis
{"title":"动态对比增强MRI (DCE-MRI)形态学和动力学特征与乳腺癌组织病理因素的相关性:乳腺MRI的潜在预后作用?","authors":"Katerina Vassiou , Theodora Kanavou , Marianna Vlychou , Antigoni Poultsidi , Maria Ioannou , Eleftherios Lavdas , Dimitris L. Arvanitis , Ioannis V. Fezoulidis","doi":"10.1016/j.ejradi.2010.02.002","DOIUrl":null,"url":null,"abstract":"<div><h3>Purpose</h3><p>To explore the correlation of morphological and kinetic DCE-MRI features with histopathological prognostic factors of invasive breast cancer.</p></div><div><h3>Material and methods</h3><p><span>Fifty-one women with 57 cancerous lesions underwent DCE-MRI prior to surgery. DCE-MRI findings were interpreted with a multifactorial classification system that included morphological (shape, margins and pattern of enhancement) and kinetic characteristics (initial signal increase and post-initial behaviour of the time-signal intensity curve). Each morphological and kinetic parameter was scored with 0, 1 or 2 points and the total score was estimated. Finally each lesion was classified into one of the five categories that correspond to the five ACR BI-RADS categories. Statistical analysis was performed to correlate DCE-MR imaging parameters and histopathological findings using </span>Fisher's exact test and stepwise multiple regression analysis.</p></div><div><h3>Results</h3><p>Increase of the signal intensity at the initial phase >100% was strongly correlated with positive lymph nodes (<em>p</em> <!-->=<!--> <span>0.008, OR 0.054). Types I and II time-signal intensity curves at the post-initial phase were associated with a fourfold increase in the likelihood of progesterone receptors positivity (</span><em>p</em> <!-->=<!--> <!-->0.022, OR 4). Finally, high total score was positively correlated with affected lymph nodes (<em>p</em> <!-->=<!--> <!-->0.033, OR 0.29).</p><p>There was a trend regarding ill-defined margins of the tumor (<em>p</em> <!-->=<!--> <!-->0.08) and vascular infiltration and also high score and neural infiltration (<em>p</em> <!-->=<!--> <!-->0.072).</p></div><div><h3>Conclusion</h3><p>A multivariate interpretation model for DCE-MRI that includes morphological and kinetic characteristics has prognostic value for invasive breast cancer. Early initial contrast agent uptake and a high overall score are associated with poor prognostic factors.</p></div>","PeriodicalId":100505,"journal":{"name":"European Journal of Radiography","volume":"1 4","pages":"Pages 124-132"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.ejradi.2010.02.002","citationCount":"6","resultStr":"{\"title\":\"Morphological and kinetic characteristics of dynamic contrast-enhanced MRI (DCE-MRI) correlated with histopathological factors of breast cancer: A potential prognostic role of breast MRI?\",\"authors\":\"Katerina Vassiou , Theodora Kanavou , Marianna Vlychou , Antigoni Poultsidi , Maria Ioannou , Eleftherios Lavdas , Dimitris L. Arvanitis , Ioannis V. Fezoulidis\",\"doi\":\"10.1016/j.ejradi.2010.02.002\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Purpose</h3><p>To explore the correlation of morphological and kinetic DCE-MRI features with histopathological prognostic factors of invasive breast cancer.</p></div><div><h3>Material and methods</h3><p><span>Fifty-one women with 57 cancerous lesions underwent DCE-MRI prior to surgery. DCE-MRI findings were interpreted with a multifactorial classification system that included morphological (shape, margins and pattern of enhancement) and kinetic characteristics (initial signal increase and post-initial behaviour of the time-signal intensity curve). Each morphological and kinetic parameter was scored with 0, 1 or 2 points and the total score was estimated. Finally each lesion was classified into one of the five categories that correspond to the five ACR BI-RADS categories. Statistical analysis was performed to correlate DCE-MR imaging parameters and histopathological findings using </span>Fisher's exact test and stepwise multiple regression analysis.</p></div><div><h3>Results</h3><p>Increase of the signal intensity at the initial phase >100% was strongly correlated with positive lymph nodes (<em>p</em> <!-->=<!--> <span>0.008, OR 0.054). Types I and II time-signal intensity curves at the post-initial phase were associated with a fourfold increase in the likelihood of progesterone receptors positivity (</span><em>p</em> <!-->=<!--> <!-->0.022, OR 4). Finally, high total score was positively correlated with affected lymph nodes (<em>p</em> <!-->=<!--> <!-->0.033, OR 0.29).</p><p>There was a trend regarding ill-defined margins of the tumor (<em>p</em> <!-->=<!--> <!-->0.08) and vascular infiltration and also high score and neural infiltration (<em>p</em> <!-->=<!--> <!-->0.072).</p></div><div><h3>Conclusion</h3><p>A multivariate interpretation model for DCE-MRI that includes morphological and kinetic characteristics has prognostic value for invasive breast cancer. Early initial contrast agent uptake and a high overall score are associated with poor prognostic factors.</p></div>\",\"PeriodicalId\":100505,\"journal\":{\"name\":\"European Journal of Radiography\",\"volume\":\"1 4\",\"pages\":\"Pages 124-132\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/j.ejradi.2010.02.002\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"European Journal of Radiography\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1756117510000170\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Journal of Radiography","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1756117510000170","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
摘要
目的探讨浸润性乳腺癌DCE-MRI形态学和动力学特征与组织病理学预后因素的相关性。材料与方法51例女性57个癌灶术前行DCE-MRI检查。DCE-MRI结果用多因素分类系统进行解释,包括形态学(形状、边缘和增强模式)和动力学特征(初始信号增强和时间-信号强度曲线的初始行为)。以0分、1分或2分对各形态和动力学参数进行评分,并计算总分。最后,每个病变被分为五个类别中的一个,对应于五个ACR BI-RADS类别。采用Fisher精确检验和逐步多元回归分析,统计分析DCE-MR成像参数与组织病理学结果的相关性。结果初发期信号强度增加>100%与淋巴结阳性呈正相关(p = 0.008, OR 0.054)。初始期后I型和II型时间信号强度曲线与孕酮受体阳性可能性增加4倍相关(p = 0.022, OR 4)。最后,高总分与受影响淋巴结呈正相关(p = 0.033, OR 0.29)。肿瘤边缘不清(p = 0.08)、血管浸润、高评分和神经浸润(p = 0.072)均有增加趋势。结论DCE-MRI包括形态学和动力学特征的多变量解释模型对浸润性乳腺癌具有预后价值。早期初始造影剂摄取和高总分与预后不良因素相关。
Morphological and kinetic characteristics of dynamic contrast-enhanced MRI (DCE-MRI) correlated with histopathological factors of breast cancer: A potential prognostic role of breast MRI?
Purpose
To explore the correlation of morphological and kinetic DCE-MRI features with histopathological prognostic factors of invasive breast cancer.
Material and methods
Fifty-one women with 57 cancerous lesions underwent DCE-MRI prior to surgery. DCE-MRI findings were interpreted with a multifactorial classification system that included morphological (shape, margins and pattern of enhancement) and kinetic characteristics (initial signal increase and post-initial behaviour of the time-signal intensity curve). Each morphological and kinetic parameter was scored with 0, 1 or 2 points and the total score was estimated. Finally each lesion was classified into one of the five categories that correspond to the five ACR BI-RADS categories. Statistical analysis was performed to correlate DCE-MR imaging parameters and histopathological findings using Fisher's exact test and stepwise multiple regression analysis.
Results
Increase of the signal intensity at the initial phase >100% was strongly correlated with positive lymph nodes (p = 0.008, OR 0.054). Types I and II time-signal intensity curves at the post-initial phase were associated with a fourfold increase in the likelihood of progesterone receptors positivity (p = 0.022, OR 4). Finally, high total score was positively correlated with affected lymph nodes (p = 0.033, OR 0.29).
There was a trend regarding ill-defined margins of the tumor (p = 0.08) and vascular infiltration and also high score and neural infiltration (p = 0.072).
Conclusion
A multivariate interpretation model for DCE-MRI that includes morphological and kinetic characteristics has prognostic value for invasive breast cancer. Early initial contrast agent uptake and a high overall score are associated with poor prognostic factors.