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

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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
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中科院(CAS)分区：
出版当年[2023]版：
大类 | 2 区 综合性期刊
小类 | 2 区 综合性期刊
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[2023]版：
Q1 MULTIDISCIPLINARY SCIENCES
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

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