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使用时间依赖性扩散成像技术对患者乳腺肿瘤微观结构参数的可行性研究

Imaging Microstructural Parameters of Breast Tumor in Patient Using Time-Dependent Diffusion: A Feasibility Study.

作者信息

Peng Shuyi, Sun Peng, Liu Jie, Tao Juan, Zhu Wenying, Yang Fan

机构信息

Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Avenue 1277, Wuhan 430022, China.

Hubei Provincial Clinical Research Center for Precision Radiology & Interventional Medicine, Wuhan 430022, China.

出版信息

Diagnostics (Basel). 2025 Mar 24;15(7):823. doi: 10.3390/diagnostics15070823.

Abstract

: To explore the feasibility of time-dependent diffusion in clinical applications of breast MRI, as well as the capacity of quantitative microstructural mapping for characterizing the cellular properties in malignant and benign breast tumors. : 38 patients with 45 lesions were enrolled. Diffusion MRI acquisition was conducted with a combination of pulsed gradient spin-echo sequences (PGSE) and oscillating gradient spin-echo (OGSE) on a 3T MRI scanner. The microstructural parameters including cellularity extracellular diffusivity (D), mean cell size, intracellular volume fraction (ν), and the apparent diffusion coefficient (ADC) values were calculated. Each parameter was compared using the unpaired -test between malignant and benign tumors. The area under the receiver operating characteristic curve (AUC) values was used to evaluate the diagnostic performance of different indices. : The mean diameter, D, ADC, ADC, and ADC were significantly lower in the malignant group than in the benign group ( < 0.001), while ν and cellularity were significantly higher in the malignant group ( < 0.001). All the microstructural parameters and time-dependent ADC values achieved high accuracy in differentiating between malignant and benign tumors of the breast. For microstructural parameters, the AUC of the cellularity was greater than others (AUC = 0.936). In an immunohistochemical subgroup comparison, the PR-positive group had significantly lower ν and cellularity, and significantly elevated D and ADC compared to the negative groups ( < 0.05). When combining diffusion parameters (cellularity, diameter, and ADC), the highest diagnostic performance was obtained with an AUC of 0.969. : DWI with a short diffusion time is capable of providing additional microstructural parameters in differentiating between benign and malignant breast tumors. The time-dependent diffusion MRI parameters have the potential to serve as a non-invasive tool to probe the differences in the internal structures of breast lesions.

摘要

目的

探讨时间依赖性扩散在乳腺MRI临床应用中的可行性,以及定量微观结构成像在表征乳腺良恶性肿瘤细胞特性方面的能力。方法:纳入38例患者共45个病灶。在3T MRI扫描仪上采用脉冲梯度自旋回波序列(PGSE)和振荡梯度自旋回波(OGSE)相结合的方法进行扩散MRI采集。计算微观结构参数,包括细胞密度、细胞外扩散系数(D)、平均细胞大小、细胞内体积分数(ν)和表观扩散系数(ADC)值。使用非配对t检验比较恶性肿瘤和良性肿瘤之间的每个参数。采用受试者工作特征曲线(ROC)下面积(AUC)值评估不同指标的诊断性能。结果:恶性组的平均直径、D、ADC、ADC和ADC均显著低于良性组(P<0.001),而恶性组的ν和细胞密度显著高于良性组(P<0.001)。所有微观结构参数和时间依赖性ADC值在鉴别乳腺良恶性肿瘤方面均具有较高的准确性。对于微观结构参数,细胞密度的AUC大于其他参数(AUC = 0.936)。在免疫组织化学亚组比较中,与阴性组相比,PR阳性组的ν和细胞密度显著降低,D和ADC显著升高(P<0.05)。当联合扩散参数(细胞密度、直径和ADC)时,获得了最高的诊断性能,AUC为0.969。结论:短扩散时间的扩散加权成像能够在鉴别乳腺良恶性肿瘤时提供额外的微观结构参数。时间依赖性扩散MRI参数有可能作为一种非侵入性工具来探究乳腺病变内部结构的差异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0485/11988359/fd5b676f922e/diagnostics-15-00823-g001.jpg

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