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黑色素瘤和乳腺癌异种移植模型中IVIM/时间依赖性扩散磁共振成像参数的体内和死后比较

In Vivo and Post-mortem Comparisons of IVIM/Time-dependent Diffusion MR Imaging Parameters in Melanoma and Breast Cancer Xenograft Models.

作者信息

Someya Yuko, Iima Mami, Imai Hirohiko, Isoda Hiroyoshi, Ohno Tsuyoshi, Kataoka Masako, Bihan Denis Le, Nakamoto Yuji

机构信息

Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Kyoto, Japan.

Department of Diagnostic Radiology, Kobe City Medical Center General Hospital, Kobe, Hyogo, Japan.

出版信息

Magn Reson Med Sci. 2024 May 25. doi: 10.2463/mrms.mp.2023-0078.


DOI:10.2463/mrms.mp.2023-0078
PMID:38797683
Abstract

PURPOSE: We aimed to investigate the changes in intravoxel incoherent motion (IVIM) and diffusion parameters between in vivo and post-mortem conditions and the time dependency of these parameters using two different mouse tumor models with different vessel lumen sizes. METHODS: Six B16 and six MDA-MB-231 xenograft mice were scanned using 7 Tesla MRI under both in vivo/post-mortem conditions. Diffusion weighted imaging with 17 b-values (0-3000 s/mm) were obtained at two diffusion times (9 and 27.6 ms). The shifted apparent diffusion coefficient (sADC) using 2 b-values (200 and 1500 s/mm), non-Gaussian diffusion and IVIM parameters (ADC, K, f) were estimated at each of the diffusion times. The results were evaluated by repeated measures two-way analysis of variance and post hoc Bonferroni test. RESULTS: In B16 tumors, f significantly decreased with post-mortem conditions (from 12.6 ± 6.5% to 5.2 ± 1.9%, P < 0.05 at long diffusion time; from 11.0 ± 2.4% to 4.6 ± 2.7%, P < 0.05 at short diffusion time). In MDA-MB-231 tumors, f also significantly decreased (from 8.8 ± 3.8% to 2.6 ± 1.1%, P < 0.05 at long; from 7.9 ± 5.4% to 2.9 ± 1.1%, P < 0.05 at short). No diffusion time dependency was observed (P = 0.59 in B16 and P = 0.77 in MDA-MB-231). The sADC and ADC values tended to decrease and the K value tended to increase after sacrificing and when increasing the diffusion time. CONCLUSION: The f values dropped after sacrificing, confirming that IVIM MRI is a promising quantitative parameter to evaluate blood microcirculation. The presence of residual post-mortem f values suggested that the influence of water molecule diffusion in the blood lumen may contribute to the IVIM effect. Diffusion MRI parameter's time dependency and those changes after sacrificing could possibly provide additional insights into diffusion hindrance mechanisms.

摘要

目的:我们旨在利用两种具有不同血管腔大小的小鼠肿瘤模型,研究体内和死后条件下体素内不相干运动(IVIM)及扩散参数的变化,以及这些参数的时间依赖性。 方法:对6只B16和6只MDA - MB - 231异种移植小鼠在体内/死后条件下均使用7特斯拉磁共振成像(MRI)进行扫描。在两个扩散时间(9和27.6毫秒)下获得具有17个b值(0 - 3000 s/mm²)的扩散加权成像。在每个扩散时间估计使用2个b值(200和1500 s/mm²)的偏移表观扩散系数(sADC)、非高斯扩散及IVIM参数(ADC、K、f)。结果通过重复测量双向方差分析及事后Bonferroni检验进行评估。 结果:在B16肿瘤中,死后条件下f值显著降低(长扩散时间时从12.6±6.5%降至5.2±1.9%,P < 0.05;短扩散时间时从11.0±2.4%降至4.6±2.7%,P < 0.05)。在MDA - MB - 231肿瘤中,f值也显著降低(长扩散时间时从8.8±3.8%降至2.6±1.1%,P < 0.05;短扩散时间时从7.9±5.4%降至2.9±1.1%,P < 0.05)。未观察到扩散时间依赖性(B16中P = 0.59,MDA - MB - 231中P = 0.77)。牺牲后以及扩散时间增加时,sADC和ADC值趋于降低,K值趋于增加。 结论:牺牲后f值下降,证实IVIM MRI是评估血液微循环的一个有前景的定量参数。死后残余f值的存在表明水分子在血管腔内扩散的影响可能对IVIM效应有贡献。扩散MRI参数的时间依赖性以及牺牲后的那些变化可能为扩散阻碍机制提供额外的见解。

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本文引用的文献

[1]
Investigation of breast cancer microstructure and microvasculature from time-dependent DWI and CEST in correlation with histological biomarkers.

Sci Rep. 2022-4-20

[2]
Perfusion-driven Intravoxel Incoherent Motion (IVIM) MRI in Oncology: Applications, Challenges, and Future Trends.

Magn Reson Med Sci. 2021-6-1

[3]
Six DWI questions you always wanted to know but were afraid to ask: clinical relevance for breast diffusion MRI.

Eur Radiol. 2020-1-21

[4]
Magnetic resonance imaging of mean cell size in human breast tumors.

Magn Reson Med. 2020-6

[5]
Evidence of the diffusion time dependence of intravoxel incoherent motion in the brain.

Magn Reson Med. 2019-7-2

[6]
How clinical imaging can assess cancer biology.

Insights Imaging. 2019-3-4

[7]
Time-dependent diffusion MRI to distinguish malignant from benign head and neck tumors.

J Magn Reson Imaging. 2018-12-21

[8]
Effects of diffusion time on non-Gaussian diffusion and intravoxel incoherent motion (IVIM) MRI parameters in breast cancer and hepatocellular carcinoma xenograft models.

Acta Radiol Open. 2018-1-11

[9]
What can we see with IVIM MRI?

Neuroimage. 2017-12-22

[10]
A two-pool model to describe the IVIM cerebral perfusion.

J Cereb Blood Flow Metab. 2017-8

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