个人中心| | 帮助
高级检索
当前位置： 首页 > 详情页

Preoperative prediction of extensive intraductal component in invasive breast cancer based on intra- and peri-tumoral heterogeneity in high-resolution ultrafast DCE-MRI

| 导出 | |

文献详情

资源类型：
WOS体系：
Pubmed体系：

收录情况： ◇ SCIE

作者：
Luo Hongbing[1,3] * ; Zhao Shixuan[2] * ; Yang Wenlong[3] ; Chen Zhe[1] ; Li Yongjie[2] ; Zhou Peng[1] ;
机构： [1]Department of Radiology, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Afliated Cancer Hospital of University of Electronic Science and Technology of China, No. 55, 4th Section of South Ren‑min Road, Chengdu 610041, China. [2]MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China. [3]College of Medicine and Life Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, China
出处：
DOI： 10.1038/s41598-024-68601-6

关键词： Breast neoplasms Magnetic resonance imaging Ductal carcinoma in situ

摘要：
Preoperatively predicting extensive intraductal component in invasive breast cancer through imaging is crucial for informed decision-making, guiding surgical planning to mitigate risks of incomplete resection or re-operation for positive margins in breast-conserving surgery. This study aimed to characterize intra- and peri-tumor heterogeneity using high-spatial resolution ultrafast DCE-MRI to predict the extensive intraductal component in invasive breast cancer (IBC-EIC) preoperatively. A retrospective analysis included invasive breast cancer patients who underwent preoperative high-spatial resolution ultrafast DCE-MRI, categorized based on intraductal component status (IBC-EIC vs. IBC without EIC). Propensity score matching (PSM) was employed to balance clinicopathological covariates between the groups. Personalized kinetic intra-tumor heterogeneity (ITHkinetic) and peri-tumor heterogeneity (PTHkinetic) scores were quantified using clustered voxels with similar enhancement patterns. An image combined model, incorporating MRI features, ITHkinetic, and PTHkinetic scores, was developed and assessed. Of 368 patients, 26.4% (97/368) had IBC-EIC. PSM yielded well-matched pairs of 97 patients each. After PSM, ITHkinetic and PTHkinetic scores were significantly higher in the IBC-EIC group (ITHkinetic: 0.68 ± 0.23; PTHkinetic: 0.58 ± 0.19) compared to IBC without EIC (ITHkinetic: 0.32 ± 0.25; PTHkinetic: 0.42 ± 0.18; p < 0.001). Before PSM, ITHkinetic (0.71 ± 0.20 vs. 0.49 ± 0.28, p < 0.001) and PTHkinetic (0.61 ± 0.18 vs. 0.50 ± 0.20, p < 0.001) scores remained higher in the IBC-EIC group. The Image Combined Model demonstrated good predictive performance for IBC-EIC, with an AUC of 0.91 (95% CI 0.86-0.95) after PSM and 0.85 (95% CI 0.81-0.90) before PSM. Inclusion of ITHkinetic and PTHkinetic scores significantly improved prediction capability. ITHkinetic and PTHkinetic characterization from high-spatial resolution ultrafast DCE-MRI kinetic curves enhances preoperative prediction of IBC-EIC, offering valuable insights for personalized breast cancer management.© 2024. The Author(s).

基金：
Joint Funds of the National Natural Science Foundation of China (Grant No. U21A20521) and the Beijing Medical Award Foundation (Grant No. YXJL-2023–0227-0066).
语种：
外文
WOS：
PubmedID：
中科院(CAS)分区：
出版当年[2024]版：
无
最新[2023]版：
大类 | 2 区 综合性期刊
小类 | 2 区 综合性期刊
JCR分区：
出版当年[2024]版：
无
最新[2023]版：
Q1 MULTIDISCIPLINARY SCIENCES

影响因子： 最新[2023版] 最新五年平均 出版当年[2023版] 出版当年五年平均 出版前一年[2023版]

第一作者：
第一作者机构： [1]Department of Radiology, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Afliated Cancer Hospital of University of Electronic Science and Technology of China, No. 55, 4th Section of South Ren‑min Road, Chengdu 610041, China. [3]College of Medicine and Life Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, China
共同第一作者：
通讯作者：
通讯机构： [1]Department of Radiology, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Afliated Cancer Hospital of University of Electronic Science and Technology of China, No. 55, 4th Section of South Ren‑min Road, Chengdu 610041, China. [3]College of Medicine and Life Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, China
推荐引用方式(GB/T 7714)：
Luo Hongbing,Zhao Shixuan,Yang Wenlong,et al.Preoperative prediction of extensive intraductal component in invasive breast cancer based on intra- and peri-tumoral heterogeneity in high-resolution ultrafast DCE-MRI[J].Scientific Reports.2024,14(1):17396.doi:10.1038/s41598-024-68601-6.
APA：
Luo Hongbing,Zhao Shixuan,Yang Wenlong,Chen Zhe,Li Yongjie&Zhou Peng.(2024).Preoperative prediction of extensive intraductal component in invasive breast cancer based on intra- and peri-tumoral heterogeneity in high-resolution ultrafast DCE-MRI.Scientific Reports,14,(1)
MLA：
Luo Hongbing,et al."Preoperative prediction of extensive intraductal component in invasive breast cancer based on intra- and peri-tumoral heterogeneity in high-resolution ultrafast DCE-MRI".Scientific Reports 14..1(2024):17396

相关文献

[1]Identification of aberrant gene expression during breast ductal carcinoma in situ progression to invasive ductal carcinoma. [2]Molecular subtyping reveals uniqueness of prognosis in breast ductal carcinoma in situ patients with lumpectomy. [3]Prediction of coexisting invasive carcinoma on ductal carcinoma in situ (DCIS) lesions by mass spectrometry imaging [4]Application of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) combined with magnetic resonance spectroscopy (MRS) in prostate cancer diagnosis [5]Risk of hematologic malignancies after breast ductal carcinoma in situ treatment with ionizing radiation(Open Access) [6]Predicting brain metastases for non-small cell lung cancer based on magnetic resonance imaging [7]In Vivo Magnetic Resonance Imaging and Microwave Thermotherapy of Cancer Using Novel Chitosan Microcapsules. [8]Deep Learning-Based Automatic Segmentation of Brain Tumors in Heterogenous Multi-Center Magnetic Resonance Imaging Sets [9]Multimodal Magnetic Resonance Imaging Reveals Aberrant Brain Age Trajectory During Youth in Schizophrenia Patients. [10]Electrocardiogram Characteristics and Prognostic Value in Light-Chain Amyloidosis: A Comparison With Cardiac Magnetic Resonance Imaging.

资源点击量：52808 今日访问量：2 总访问量：4561 更新日期：2025-01-01 建议使用谷歌、火狐浏览器 常见问题

版权所有©2020 四川省肿瘤医院 技术支持：重庆聚合科技有限公司 地址：成都市人民南路四段55号