体外非相干运动成像的直方图分析:与乳腺癌分子预后因素和综合亚型的相关性。

IF 2.1 4区 医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Magnetic resonance imaging Pub Date : 2024-05-20 DOI:10.1016/j.mri.2024.05.010
Dan Yang, Yike Ren, Chunhong Wang
{"title":"体外非相干运动成像的直方图分析:与乳腺癌分子预后因素和综合亚型的相关性。","authors":"Dan Yang,&nbsp;Yike Ren,&nbsp;Chunhong Wang","doi":"10.1016/j.mri.2024.05.010","DOIUrl":null,"url":null,"abstract":"<div><h3>Purpose</h3><p>To look for links between diffusion and IVIM parameters and different molecular subtypes and prognostic factors through histogram analysis.</p></div><div><h3>Materials and methods</h3><p>A total of 139 patients with breast cancer who had pre-operative MRI examinations were enrolled in this retrospective study. Histograms of the diffusion and IVIM parameters were analyzed for the whole tumor, and an association was investigated between the parameters and the different molecular prognostic factors and subtypes using the nonparametric test, Spearman's rank correlation, and receiver operating characteristic (ROC) curve.</p></div><div><h3>Results</h3><p>The histogram metrics of the diffusion and IVIM parameters were significantly different for molecular prognostic factors such as human epidermal receptor factor-2 (HER2), progesterone receptor, estrogen receptor, and ki-67. All histogram metrics displayed a poor correlation with all groups (<em>r</em> = −0.28-0.29). There were significant differences in the histogram metrics for the Luminal B-HER2 (−) vs. HER2-positive (non-luminal) subtypes in the mean and 10th percentile D, with the area under the curves (AUCs) of 0.742 and 0.700, respectively, and for the Luminal A and HER2-positive (non-luminal) subtypes in the 90th percentile and entropy of D*, with AUCs of 0.769 and 0.727, respectively.</p></div><div><h3>Conclusion</h3><p>The histogram metrics of IVIM parameters exhibited links with breast cancer prognosis factors and combined subtypes.</p></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"111 ","pages":"Pages 210-216"},"PeriodicalIF":2.1000,"publicationDate":"2024-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Histogram analysis of intravoxel incoherent motion imaging: Correlation with molecular prognostic factors and combined subtypes of breast cancer\",\"authors\":\"Dan Yang,&nbsp;Yike Ren,&nbsp;Chunhong Wang\",\"doi\":\"10.1016/j.mri.2024.05.010\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Purpose</h3><p>To look for links between diffusion and IVIM parameters and different molecular subtypes and prognostic factors through histogram analysis.</p></div><div><h3>Materials and methods</h3><p>A total of 139 patients with breast cancer who had pre-operative MRI examinations were enrolled in this retrospective study. Histograms of the diffusion and IVIM parameters were analyzed for the whole tumor, and an association was investigated between the parameters and the different molecular prognostic factors and subtypes using the nonparametric test, Spearman's rank correlation, and receiver operating characteristic (ROC) curve.</p></div><div><h3>Results</h3><p>The histogram metrics of the diffusion and IVIM parameters were significantly different for molecular prognostic factors such as human epidermal receptor factor-2 (HER2), progesterone receptor, estrogen receptor, and ki-67. All histogram metrics displayed a poor correlation with all groups (<em>r</em> = −0.28-0.29). There were significant differences in the histogram metrics for the Luminal B-HER2 (−) vs. HER2-positive (non-luminal) subtypes in the mean and 10th percentile D, with the area under the curves (AUCs) of 0.742 and 0.700, respectively, and for the Luminal A and HER2-positive (non-luminal) subtypes in the 90th percentile and entropy of D*, with AUCs of 0.769 and 0.727, respectively.</p></div><div><h3>Conclusion</h3><p>The histogram metrics of IVIM parameters exhibited links with breast cancer prognosis factors and combined subtypes.</p></div>\",\"PeriodicalId\":18165,\"journal\":{\"name\":\"Magnetic resonance imaging\",\"volume\":\"111 \",\"pages\":\"Pages 210-216\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2024-05-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Magnetic resonance imaging\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0730725X24001590\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Magnetic resonance imaging","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0730725X24001590","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
引用次数: 0

摘要

目的:通过直方图分析寻找弥散和IVIM参数与不同分子亚型和预后因素之间的联系:这项回顾性研究共纳入了 139 名接受术前磁共振成像检查的乳腺癌患者。采用非参数检验、Spearman秩相关和接收器操作特征曲线(ROC)分析了整个肿瘤的弥散和IVIM参数直方图,并研究了这些参数与不同分子预后因素和亚型之间的关联:扩散和IVIM参数的直方图度量在人表皮受体因子-2(HER2)、孕酮受体、雌激素受体和ki-67等分子预后因素上有显著差异。所有直方图指标与所有组的相关性都很差(r = -0.28-0.29)。Luminal B-HER2(-)亚型与 HER2 阳性(非腔道)亚型的直方图指标在平均值和第 10 百分位数 D 方面存在明显差异,曲线下面积(AUC)分别为 0.742 和 0.700;Luminal A 和 HER2 阳性(非腔道)亚型在第 90 百分位数和 D* 的熵方面存在明显差异,AUC 分别为 0.769 和 0.727:IVIM参数的直方图度量显示了与乳腺癌预后因素和综合亚型的联系。
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
Histogram analysis of intravoxel incoherent motion imaging: Correlation with molecular prognostic factors and combined subtypes of breast cancer

Purpose

To look for links between diffusion and IVIM parameters and different molecular subtypes and prognostic factors through histogram analysis.

Materials and methods

A total of 139 patients with breast cancer who had pre-operative MRI examinations were enrolled in this retrospective study. Histograms of the diffusion and IVIM parameters were analyzed for the whole tumor, and an association was investigated between the parameters and the different molecular prognostic factors and subtypes using the nonparametric test, Spearman's rank correlation, and receiver operating characteristic (ROC) curve.

Results

The histogram metrics of the diffusion and IVIM parameters were significantly different for molecular prognostic factors such as human epidermal receptor factor-2 (HER2), progesterone receptor, estrogen receptor, and ki-67. All histogram metrics displayed a poor correlation with all groups (r = −0.28-0.29). There were significant differences in the histogram metrics for the Luminal B-HER2 (−) vs. HER2-positive (non-luminal) subtypes in the mean and 10th percentile D, with the area under the curves (AUCs) of 0.742 and 0.700, respectively, and for the Luminal A and HER2-positive (non-luminal) subtypes in the 90th percentile and entropy of D*, with AUCs of 0.769 and 0.727, respectively.

Conclusion

The histogram metrics of IVIM parameters exhibited links with breast cancer prognosis factors and combined subtypes.

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
Magnetic resonance imaging
Magnetic resonance imaging 医学-核医学
CiteScore
4.70
自引率
4.00%
发文量
194
审稿时长
83 days
期刊介绍: Magnetic Resonance Imaging (MRI) is the first international multidisciplinary journal encompassing physical, life, and clinical science investigations as they relate to the development and use of magnetic resonance imaging. MRI is dedicated to both basic research, technological innovation and applications, providing a single forum for communication among radiologists, physicists, chemists, biochemists, biologists, engineers, internists, pathologists, physiologists, computer scientists, and mathematicians.
期刊最新文献
Preclinical validation of a metasurface-inspired conformal elliptical-cylinder resonator for wrist MRI at 1.5 T. P53 status combined with MRI findings for prognosis prediction of single hepatocellular carcinoma. Predicting progression in triple-negative breast cancer patients undergoing neoadjuvant chemotherapy: Insights from peritumoral radiomics. Deep learning radiomics nomograms predict Isocitrate dehydrogenase (IDH) genotypes in brain glioma: A multicenter study. Reliability of post-contrast deep learning-based highly accelerated cardiac cine MRI for the assessment of ventricular function.
×
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