• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

在新辅助化疗后的乳腺癌中,使用张量值扩散编码对微观结构组织变化进行成像评估:这是一条有前景的前进道路吗?

Imaging evaluation focused on microstructural tissue changes using tensor-valued diffusion encoding in breast cancers after neoadjuvant chemotherapy: is it a promising way forward?

作者信息

Cho Eun, Baek Hye Jin, Szczepankiewicz Filip, An Hyo Jung, Jung Eun Jung

机构信息

Department of Radiology, Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital, Changwon, Republic of Korea.

FRIENDS Imaging Center, Busan, Republic of Korea.

出版信息

Gland Surg. 2024 Aug 31;13(8):1387-1399. doi: 10.21037/gs-24-124. Epub 2024 Aug 22.

DOI:10.21037/gs-24-124
PMID:39282030
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11399009/
Abstract

BACKGROUND

Single diffusion encoding is a widely used, noninvasive technique for probing the tissue microstructure in breast tumors. However, it does not provide detailed information about the microenvironmental complexity. This study investigated the clinical utility of tensor-valued diffusion encoding for evaluating microstructural changes in breast cancer after neoadjuvant chemotherapy (NAC).

METHODS

We retrospectively included patients underwent chemotherapy for histologically proven invasive breast cancer between July 2020 and June 2023 and monitored the tumor response with breast magnetic resonance imaging (MRI), including tensor-valued diffusion encoding. We reviewed pre- and post-NAC MRIs regarding chemotherapy in 23 breast cancers. Q-space trajectory imaging (QTI) parameters were estimated at each time-point, and were compared with histopathological parameters.

RESULTS

The mean total mean kurtosis (MK), anisotropic mean kurtosis (MK), and microscopic fractional anisotropy (µFA) were significantly decreased on post-NAC MRI compared with pre-NAC MRI, with the large effect size (ES) in MK and µFA (0.81±0.41 0.99±0.33, ES: 0.48, P=0.03; 0.48±0.30 0.73±0.27, ES: 0.88, P<0.001; 0.58±0.14 0.68±0.11, ES: 0.79, P=0.003; respectively). Regarding prognostic factors, tumors with high Ki-67 expression showed significantly lower pre-NAC mean diffusivity (MD) and higher pre-NAC µFA compared to tumors with low Ki-67 expression (0.98±0.09 1.25±0.20, P=0.002; and 0.72±0.07 0.57±0.10, P=0.005; respectively). And negative progesterone receptor (PR) group revealed significantly lower MK, MK, and isotropic mean kurtosis than positive PR group on the post-NAC MRI (0.60±0.31 1.03±0.40, P=0.008; 0.36±0.21 0.61±0.33, P=0.04; and 0.23±0.17 0.42±0.25, P=0.046; respectively).

CONCLUSIONS

QTI parameters reflected the microstructural changes in breast cancer treated with NAC and can be used as noninvasive imaging biomarkers correlated with prognostic factors.

摘要

背景

单扩散编码是一种广泛应用于探测乳腺肿瘤组织微观结构的非侵入性技术。然而,它并未提供有关微环境复杂性的详细信息。本研究调查了张量值扩散编码在评估新辅助化疗(NAC)后乳腺癌微观结构变化中的临床应用价值。

方法

我们回顾性纳入了2020年7月至2023年6月间因组织学确诊为浸润性乳腺癌而接受化疗的患者,并通过乳腺磁共振成像(MRI),包括张量值扩散编码,监测肿瘤反应。我们审查了23例乳腺癌患者NAC前后关于化疗的MRI图像。在每个时间点估计Q空间轨迹成像(QTI)参数,并与组织病理学参数进行比较。

结果

与NAC前MRI相比,NAC后MRI上的平均总平均峰度(MK)、各向异性平均峰度(MK)和微观分数各向异性(µFA)显著降低,MK和µFA的效应量较大(分别为0.81±0.41对0.99±0.33,效应量:0.48,P = 0.03;0.48±0.30对0.73±0.27,效应量:0.88,P < 0.001;0.58±0.14对0.68±0.11,效应量:0.79,P = 0.003)。关于预后因素,与低Ki-67表达的肿瘤相比,高Ki-67表达的肿瘤在NAC前的平均扩散率(MD)显著更低,µFA更高(分别为0.98±0.09对1.25±0.20,P = 0.002;以及0.72±0.07对0.57±0.10,P = 0.005)。并且在NAC后MRI上,孕激素受体(PR)阴性组的MK、MK和各向同性平均峰度显著低于PR阳性组(分别为0.60±0.31对1.03±0.40,P = 0.008;0.

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e5dc/11399009/95ca86997ea7/gs-13-08-1387-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e5dc/11399009/95ca86997ea7/gs-13-08-1387-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e5dc/11399009/95ca86997ea7/gs-13-08-1387-f1.jpg

相似文献

1
Imaging evaluation focused on microstructural tissue changes using tensor-valued diffusion encoding in breast cancers after neoadjuvant chemotherapy: is it a promising way forward?在新辅助化疗后的乳腺癌中,使用张量值扩散编码对微观结构组织变化进行成像评估:这是一条有前景的前进道路吗?
Gland Surg. 2024 Aug 31;13(8):1387-1399. doi: 10.21037/gs-24-124. Epub 2024 Aug 22.
2
Clinical experience of tensor-valued diffusion encoding for microstructure imaging by diffusional variance decomposition in patients with breast cancer.张量值扩散编码在乳腺癌患者微观结构成像中的临床经验:基于扩散方差分解法
Quant Imaging Med Surg. 2022 Mar;12(3):2002-2017. doi: 10.21037/qims-21-870.
3
Cardiac q-space trajectory imaging by motion-compensated tensor-valued diffusion encoding in human heart in vivo.人体心脏运动补偿张量值扩散编码的心脏 q-空间轨迹成像。
Magn Reson Med. 2023 Jul;90(1):150-165. doi: 10.1002/mrm.29637. Epub 2023 Mar 20.
4
Mapping prostatic microscopic anisotropy using linear and spherical b-tensor encoding: A preliminary study.使用线性和球形 b-张量编码对前列腺微观各向异性进行映射:初步研究。
Magn Reson Med. 2021 Oct;86(4):2025-2033. doi: 10.1002/mrm.28856. Epub 2021 May 31.
5
Glioma grading, molecular feature classification, and microstructural characterization using MR diffusional variance decomposition (DIVIDE) imaging.使用 MR 扩散方差分解(DIVIDE)成像对神经胶质瘤进行分级、分子特征分类和微观结构特征描述。
Eur Radiol. 2021 Nov;31(11):8197-8207. doi: 10.1007/s00330-021-07959-x. Epub 2021 Apr 29.
6
Tensor-valued diffusion magnetic resonance imaging in a radiotherapy setting.放疗环境下的张量值扩散磁共振成像
Phys Imaging Radiat Oncol. 2022 Nov 10;24:144-151. doi: 10.1016/j.phro.2022.11.005. eCollection 2022 Oct.
7
Histogram analysis of tensor-valued diffusion MRI in meningiomas: Relation to consistency, histological grade and type.张量值弥散 MRI 直方图分析在脑膜瘤中的应用:与一致性、组织学分级和类型的关系。
Neuroimage Clin. 2022;33:102912. doi: 10.1016/j.nicl.2021.102912. Epub 2021 Dec 13.
8
Tensor-valued diffusion MRI of human acute stroke.张量值扩散 MRI 对人类急性中风的研究。
Magn Reson Med. 2024 May;91(5):2126-2141. doi: 10.1002/mrm.29975. Epub 2023 Dec 29.
9
Q-space trajectory imaging for multidimensional diffusion MRI of the human brain.用于人类大脑多维扩散磁共振成像的Q空间轨迹成像
Neuroimage. 2016 Jul 15;135:345-62. doi: 10.1016/j.neuroimage.2016.02.039. Epub 2016 Feb 23.
10
The link between diffusion MRI and tumor heterogeneity: Mapping cell eccentricity and density by diffusional variance decomposition (DIVIDE).扩散加权磁共振成像与肿瘤异质性之间的联系:通过扩散方差分解(DIVIDE)绘制细胞偏心率和密度图。
Neuroimage. 2016 Nov 15;142:522-532. doi: 10.1016/j.neuroimage.2016.07.038. Epub 2016 Jul 20.

本文引用的文献

1
Update on DWI for Breast Cancer Diagnosis and Treatment Monitoring.乳腺癌诊断和治疗监测的 DWI 更新。
AJR Am J Roentgenol. 2024 Jan;222(1):e2329933. doi: 10.2214/AJR.23.29933. Epub 2023 Oct 18.
2
Cardiac q-space trajectory imaging by motion-compensated tensor-valued diffusion encoding in human heart in vivo.人体心脏运动补偿张量值扩散编码的心脏 q-空间轨迹成像。
Magn Reson Med. 2023 Jul;90(1):150-165. doi: 10.1002/mrm.29637. Epub 2023 Mar 20.
3
Clinical experience of tensor-valued diffusion encoding for microstructure imaging by diffusional variance decomposition in patients with breast cancer.
张量值扩散编码在乳腺癌患者微观结构成像中的临床经验:基于扩散方差分解法
Quant Imaging Med Surg. 2022 Mar;12(3):2002-2017. doi: 10.21037/qims-21-870.
4
Evaluation of Monoexponential, Stretched-Exponential and Intravoxel Incoherent Motion MRI Diffusion Models in Early Response Monitoring to Neoadjuvant Chemotherapy in Patients With Breast Cancer-A Preliminary Study.单指数、拉伸指数和体素内不相干运动 MRI 扩散模型在乳腺癌新辅助化疗早期疗效监测中的评估——一项初步研究。
J Magn Reson Imaging. 2022 Oct;56(4):1079-1088. doi: 10.1002/jmri.28113. Epub 2022 Feb 14.
5
Histogram analysis of tensor-valued diffusion MRI in meningiomas: Relation to consistency, histological grade and type.张量值弥散 MRI 直方图分析在脑膜瘤中的应用:与一致性、组织学分级和类型的关系。
Neuroimage Clin. 2022;33:102912. doi: 10.1016/j.nicl.2021.102912. Epub 2021 Dec 13.
6
The predictive value of DKI in breast cancer: Does tumour subtype affect pathological response evaluations?DKI 在乳腺癌中的预测价值:肿瘤亚型是否影响病理反应评估?
Magn Reson Imaging. 2022 Jan;85:28-34. doi: 10.1016/j.mri.2021.10.013. Epub 2021 Oct 16.
7
A Pilot Study of Multidimensional Diffusion MRI for Assessment of Tissue Heterogeneity in Prostate Cancer.多维弥散磁共振成像在前列腺癌组织异质性评估中的初步研究。
Invest Radiol. 2021 Dec 1;56(12):845-853. doi: 10.1097/RLI.0000000000000796.
8
Multidimensional Diffusion Magnetic Resonance Imaging for Characterization of Tissue Microstructure in Breast Cancer Patients: A Prospective Pilot Study.多维度扩散磁共振成像用于乳腺癌患者组织微结构特征分析:一项前瞻性初步研究
Cancers (Basel). 2021 Mar 31;13(7):1606. doi: 10.3390/cancers13071606.
9
Gradient waveform design for tensor-valued encoding in diffusion MRI.张量编码扩散 MRI 的梯度波形设计。
J Neurosci Methods. 2021 Jan 15;348:109007. doi: 10.1016/j.jneumeth.2020.109007. Epub 2020 Nov 23.
10
Impact of progesterone receptor status on response to neoadjuvant chemotherapy in estrogen receptor-positive breast cancer patients.孕激素受体状态对雌激素受体阳性乳腺癌患者新辅助化疗反应的影响。
J Surg Oncol. 2020 Oct;122(5):861-868. doi: 10.1002/jso.26096. Epub 2020 Jul 1.