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通过体素内不相干运动扩散加权成像与扩散加权成像比较评估胰腺导管腺癌的组织病理学

Evaluating the Histopathology of Pancreatic Ductal Adenocarcinoma by Intravoxel Incoherent Motion-Diffusion Weighted Imaging Comparing With Diffusion-Weighted Imaging.

作者信息

Liu Qi, Zhang Jinggang, Jiang Man, Zhang Yue, Chen Tongbing, Zhang Jilei, Li Bei, Chen Jie, Xing Wei

机构信息

Department of Radiology, The Third Affiliated Hospital of Soochow University, Changzhou, China.

Department of Hepatobiliary and Pancreatic Surgery, The Third Affiliated Hospital of Soochow University, Changzhou, China.

出版信息

Front Oncol. 2021 Jun 23;11:670085. doi: 10.3389/fonc.2021.670085. eCollection 2021.

DOI:10.3389/fonc.2021.670085
PMID:34249707
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8261286/
Abstract

OBJECTIVES

To explore the differences between intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI) and diffusion-weighted imaging (DWI) in evaluating the histopathological characters of pancreatic ductal adenocarcinoma (PDAC).

METHODS

This retrospective study enrolled 50 patients with PDAC confirmed by pathology from December 2018 to May 2020. All patients underwent DWI and IVIM-DWI before surgeries. Patients were classified into low- and high-fibrosis groups. Apparent diffusion coefficient (ADC), diffusion coefficient (D), false diffusion coefficient (D*), and perfusion fraction (f) were measured by two radiologists, respectively in GE AW 4.7 post-processing station, wherein ADC values were derived by mono-exponential fits and f, D, D* values were derived by biexponential fits. The tumor tissue was stained with Sirius red, CD34, and CK19 to evaluate fibrosis, microvascular density (MVD), and tumor cell density. Furthermore, the correlation between ADC, D, D*, and f values and histopathological results was analyzed.

RESULTS

The D values were lower in the high-fibrosis group than in the low-fibrosis group, while the f values were opposite. Further, no statistically significant differences were detected in ADC and D* values between the high- and low-fibrosis groups. The AUC of D and f values had higher evaluation efficacy in the high- and low-fibrosis groups than ADC values. A significant negative correlation was established between D values, and fibrosis and a significant positive correlation were observed between f values and fibrosis. No statistical difference was detected between DWI/IVIM parameters values and MVD or tumor cell density except for the positive correlation between D* values and tumor cell density.

CONCLUSIONS

D and f values derived from the IVIM model had higher sensitivity and diagnostic performance for grading fibrosis in PDAC compared to the conventional DWI model. IVIM-DWI may have the potential as an imaging biomarker for predicting the fibrosis grade of PDAC.

摘要

目的

探讨体素内不相干运动扩散加权成像(IVIM-DWI)与扩散加权成像(DWI)在评估胰腺导管腺癌(PDAC)组织病理学特征方面的差异。

方法

本回顾性研究纳入了2018年12月至2020年5月间经病理确诊的50例PDAC患者。所有患者在手术前均接受了DWI和IVIM-DWI检查。患者被分为低纤维化组和高纤维化组。由两名放射科医生分别在GE AW 4.7后处理工作站测量表观扩散系数(ADC)、扩散系数(D)、伪扩散系数(D*)和灌注分数(f),其中ADC值通过单指数拟合得出,f、D、D值通过双指数拟合得出。肿瘤组织用天狼星红、CD34和CK19染色,以评估纤维化、微血管密度(MVD)和肿瘤细胞密度。此外,分析了ADC、D、D和f值与组织病理学结果之间的相关性。

结果

高纤维化组的D值低于低纤维化组,而f值则相反。此外,高、低纤维化组之间的ADC和D值未检测到统计学显著差异。D和f值的AUC在高、低纤维化组中的评估效能高于ADC值。D值与纤维化之间建立了显著的负相关,f值与纤维化之间观察到显著的正相关。除D值与肿瘤细胞密度呈正相关外,DWI/IVIM参数值与MVD或肿瘤细胞密度之间未检测到统计学差异。

结论

与传统DWI模型相比,IVIM模型得出的D和f值对PDAC纤维化分级具有更高的敏感性和诊断性能。IVIM-DWI可能有潜力作为预测PDAC纤维化分级的成像生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d741/8261286/b27a9f334d87/fonc-11-670085-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d741/8261286/56a275308775/fonc-11-670085-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d741/8261286/41b3075364a7/fonc-11-670085-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d741/8261286/88d2784643be/fonc-11-670085-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d741/8261286/05cb01479f32/fonc-11-670085-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d741/8261286/a7fe3fe01c6d/fonc-11-670085-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d741/8261286/b27a9f334d87/fonc-11-670085-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d741/8261286/56a275308775/fonc-11-670085-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d741/8261286/41b3075364a7/fonc-11-670085-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d741/8261286/88d2784643be/fonc-11-670085-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d741/8261286/05cb01479f32/fonc-11-670085-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d741/8261286/a7fe3fe01c6d/fonc-11-670085-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d741/8261286/b27a9f334d87/fonc-11-670085-g006.jpg

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本文引用的文献

1
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2
Tumor microenvironment in chemoresistance, metastasis and immunotherapy of pancreatic cancer.胰腺癌化疗耐药、转移及免疫治疗中的肿瘤微环境
Am J Cancer Res. 2020 Jul 1;10(7):1937-1953. eCollection 2020.
3
Pancreatic cancer.胰腺癌。
磁共振成像在肥胖症患者术后胰腺脂肪和脂肪变性定量中的应用:一项回顾性研究。
Obes Surg. 2022 Nov;32(11):3666-3674. doi: 10.1007/s11695-022-06278-4. Epub 2022 Sep 19.
Lancet. 2020 Jun 27;395(10242):2008-2020. doi: 10.1016/S0140-6736(20)30974-0.
4
Pathological validation and prognostic potential of quantitative MRI in the characterization of pancreas cancer: preliminary experience.定量 MRI 对胰腺癌特征的病理验证和预后潜力:初步经验。
Mol Oncol. 2020 Sep;14(9):2176-2189. doi: 10.1002/1878-0261.12688. Epub 2020 Jun 23.
5
The Microarchitecture of Pancreatic Cancer as Measured by Diffusion-Weighted Magnetic Resonance Imaging Is Altered by T Cells with a Tumor Promoting Th17 Phenotype.通过扩散加权磁共振成像测量的胰腺癌微结构被具有促肿瘤 Th17 表型的 T 细胞改变。
Int J Mol Sci. 2020 Jan 5;21(1):346. doi: 10.3390/ijms21010346.
6
Performing IVIM-DWI using the multifunctional nanosystem for the evaluation of the antitumor microcirculation changes.采用多功能纳米系统进行 IVIM-DWI,评估抗肿瘤微循环变化。
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