Research progress of incoherent motion in voxels to uterine and uterine diseases
-
摘要: 体素内非相干运动(IVIM)是指在给定体素内和测量时间内呈现方向或振幅速度分布的平移运动,是采用多b值扩散加权成像测量微循环灌注的一项新磁共振技术,其相关参数表观弥散系数、纯扩散系数、伪扩散系数、灌注分数等定量指标准确及时的反应了各疾病的不同参数特征,且基于IVIM的灌注MRI,不需要使用造影剂,使其近年在子宫及其相关疾病的研究中体现了其独特的优势,尤其是在子宫恶性肿瘤的术前分期及治疗效果检测的研究中,这项新技术将为我们提供更好的临床诊断以及选择最佳的治疗方案提供了依据。本文将近几年IVIM在子宫肌瘤、子宫内膜癌、宫颈癌中的诊断全面系统的归纳并进行综述。Abstract: Intravoxel incoherent motion (IVIM) is a translational motion that presents a directional or amplitude velocity distribution within a given voxel and at a given measurement time. IVIM is a new magnetic resonance technique for measuring microcirculatory perfusion using multi-B value DWI. The related parameters of the apparent diffusion coefficient, pure diffusion coefficient, the pseudo diffusion coefficient, filling fraction quantitative indexes such as accurate and timely reflect the features of the different parameters of various diseases, and based on IVIM perfusion magnetic resonance imaging, do not need to use contrast agents, make it's in recent years in the study of the uterus. Its related diseases reflect its unique advantages, especially in the survey of preoperative staging of malignant uterine tumors and the detection of therapeutic effects. This new technology will provide a basis for us to provide better clinical diagnosis and select the best treatment plan. This article reviews the unique features of IVIM in the diagnosis of uterine diseases.
-
Key words:
- uterus /
- uterine disease /
- incoherent motion in voxels /
- magnetic resonance imaging
-
[1] Fujimoto K, Kido A, Okada T, et al. Diffusion tensor imaging (DTI) of the normal human uterus in vivo at 3 tesla: comparison of DTI parameters in the different uterine layers[J]. J Magn Reson Imaging, 2013, 38(6): 1494-500. doi: 10.1002/jmri.24114 [2] Le Bihan D, Breton E, Lallemand D, et al. MR imaging of intravoxel incoherent motions: application to diffusion and perfusion in neurologic disorders[J]. Radiology, 1986, 161(2): 401-7. doi: 10.1148/radiology.161.2.3763909 [3] Duc NM. The diagnostic function of intravoxel incoherent motion for distinguishing between pilocytic astrocytoma and ependymoma[J]. PLoS One, 2021, 16(3): e0247899. doi: 10.1371/journal.pone.0247899 [4] Huang HM. Reliable estimation of brain intravoxel incoherent motion parameters using denoised diffusion-weighted MRI[J]. NMR Biomed, 2020, 33(4): e4249. [5] Ai Z, Han QJ, Huang ZW, et al. The value of multiparametric histogram features based on intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI) for the differential diagnosis of liver lesions[J]. Ann Transl Med, 2020, 8(18): 1128. doi: 10.21037/atm-20-5109 [6] Li YT, Cercueil JP, Yuan J, et al. Liver intravoxel incoherent motion (IVIM) magnetic resonance imaging: a comprehensive review of published data on normal values and applications for fibrosis and tumor evaluation[J]. Quant Imaging Med Surg, 2017, 7(1): 59-78. doi: 10.21037/qims.2017.02.03 [7] Zhang W, Chen J. Diffusion tensor imaging (DTI) of the cesarean-scarred uterus in vivo at 3T: comparison study of DTI parameters between nonpregnant and pregnant cases[J]. J Magn Reson Imaging, 2020, 51(1): 124-30. doi: 10.1002/jmri.26868 [8] Dong Y, Dong RT, Zhang XM, et al. Influence of menstrual status and pathological type on the apparent diffusion coefficient in cervical cancer: a primary study[J]. Acta Radiol Stock Swed, 2021, 62(3): 430-6. [9] 陈天佑, 强金伟, 李若坤, 等. 体素内不相干运动扩散加权成像(IVIM-DWI)定量研究育龄期女性正常子宫月经周期内微循环变化[J]. 放射学实践, 2016, 31(12): 1213-8. https://www.cnki.com.cn/Article/CJFDTOTAL-FSXS201612035.htm [10] Sun J, Wu G, Shan F, et al. The value of IVIM DWI in combination with conventional MRI in identifying the residual tumor after cone biopsy for early cervical carcinoma[J]. Acad Radiol, 2019, 26(8): 1040-7. doi: 10.1016/j.acra.2018.09.027 [11] Török P, Póka R. A myoma uteri diagnosztikája és kezelése[J]. Orvosi Hetilap, 2016, 157(21): 813-9. doi: 10.1556/650.2016.30435 [12] Tian T, Zhang GF, Zhang H, et al. Intravoxel incoherent motion diffusion-weighted imaging in differentiating uterine fibroid from focal adenomyosis: initial results[J]. Springerplus, 2016, 5: 9. doi: 10.1186/s40064-015-1635-x [13] Qu FF, Hor PH, Fischer J, et al. Tissue characterization of uterine fibroids with an intravoxel incoherent motion model: The need for T2 correction[J]. J Magn Reson Imaging, 2018, 48(4): 994-1001. doi: 10.1002/jmri.25988 [14] Funaki K, Sawada K, Maeda F, et al. Subjective effect of magnetic resonance-guided focused ultrasound surgery for uterine fibroids[J]. J Obstet Gynaecol Res, 2007, 33(6): 834-9. doi: 10.1111/j.1447-0756.2007.00665.x [15] 鲁辛健, 班允清, 王晓燕, 等. IVIM-DWI和DCE-MRI评估高强度聚焦超声刀治疗子宫肌瘤的疗效[J]. 分子影像学杂志, 2020, 43(4): 557-62. doi: 10.12122/j.issn.1674-4500.2020.04.01 [16] 卢瑞沾, 张俊成, 杨振华, 等. IVIM-DWI评价高强度聚焦超声治疗子宫肌瘤早期疗效的价值[J]. 临床放射学杂志, 2017, 36(5): 692-6. https://www.cnki.com.cn/Article/CJFDTOTAL-LCFS201705023.htm [17] Lee HJ, Rha SY, Chung YE, et al. Tumor perfusion-related parameter of diffusion-weighted magnetic resonance imaging: Correlation with histological microvessel density[J]. Magn Reson Med, 2014, 71(4): 1554-8. doi: 10.1002/mrm.24810 [18] 韦超, 董江宁, 方昕, 等. DCE-MRI定量参数预测高强度超声消融术治疗症状性子宫肌瘤首次体积消融率价值[J]. 临床放射学杂志, 2016, 35(4): 545-50. [19] 张利祥, 董江宁, 方昕, 等. 体素内不相干运动扩散加权成像预测子宫肌瘤供血程度与细胞密集度的初步研究[J]. 医学影像学杂志, 2017, 27(10): 1962-6. https://www.cnki.com.cn/Article/CJFDTOTAL-XYXZ201710034.htm [20] Braun MM, Overbeek-Wager EA, Grumbo RJ. Diagnosis and management of endometrial cancer[J]. Am Fam Physician, 2016, 93 (6): 468-74. [21] Yamada I, Wakana K, Kobayashi D, et al. Endometrial carcinoma: Evaluation using diffusion-tensor imaging and its correlation with histopathologic findings[J]. J Magn Reson Imaging, 2019, 50(1): 250-60. doi: 10.1002/jmri.26558 [22] 田士峰, 刘爱连, 朱雯, 等. 增强T2*加权血管成像序列多参数定量测量与子宫内膜癌增殖抗原Ki-67表达的相关性[J]. 中国医学影像学杂志, 2018, 26(11): 865-9. doi: 10.3969/j.issn.1005-5185.2018.11.017 [23] Ghosh A, Singh T, Singla V, et al. DTI histogram parameters correlate with the extent of myoinvasion and tumor type in endometrial carcinoma: a preliminary analysis[J]. Acta Radiol Stock Swed, 2020, 61(5): 675-84. [24] Zhang Q, Ouyang H, Ye F, et al. Feasibility of intravoxel incoherent motion diffusion-weighted imaging in distinguishing adenocarcinoma originated from uterine corpus or cervix[J]. Abdom Radiol (NY), 2021, 46(2): 732-44. doi: 10.1007/s00261-020-02586-4 [25] 邢金丽, 吴献华, 冯峰. 体素内不相干运动DWI对子宫内膜癌术前肿瘤分级评估[J]. 放射学实践, 2020, 35(10): 1288-92. https://www.cnki.com.cn/Article/CJFDTOTAL-FSXS202010019.htm [26] 田士峰, 刘爱连, 杨伟萍, 等. 体素内不相干运动多模型参数对子宫内膜癌术前风险的评估[J]. 中国医学影像学杂志, 2019, 27(12): 948-52, 957. doi: 10.3969/j.issn.1005-5185.2019.12.017 [27] Tsikouras P, Zervoudis S, Manav B, et al. Cervical cancer: screening, diagnosis and staging[J]. J Buon, 2016, 21(2): 320-5. [28] Wang H, Zhu L, Li G, et al. Perfusion parameters of intravoxel incoherent motion based on tumor edge region of interest in cervical cancer: evaluation of differentiation and correlation with dynamic contrast-enhanced MRI[J]. Acta Radiol, 2020, 61(8): 1087-95. doi: 10.1177/0284185119890086 [29] 叶晓华, 周诚, 王宏, 等. MR体素内不相干运动成像评价宫颈癌组织学特征的初步研究[J]. 临床放射学杂志, 2016, 35(7): 1048-52. https://www.cnki.com.cn/Article/CJFDTOTAL-LCFS201607016.htm [30] Becker AS, Perucho JA, Wurnig MC, et al. Assessment of cervical cancer with a parameter-free intravoxel incoherent motion imaging algorithm[J]. Korean J Radiol, 2017, 18(3): 510. doi: 10.3348/kjr.2017.18.3.510 [31] Dappa E, Elger T, Hasenburg A, et al. The value of advanced MRI techniques in the assessment of cervical cancer: a review[J]. Insights Imaging, 2017, 8(5): 471-81. doi: 10.1007/s13244-017-0567-0 [32] Kato H, Esaki K, Yamaguchi T, et al. Predicting early response to chemoradiotherapy for uterine cervical cancer using intravoxel incoherent motion MR imaging[J]. Magn Reson Med Sci, 2019, 18 (4): 293-8. doi: 10.2463/mrms.tn.2018-0138 [33] Wu Q, Zheng D, Shi L, et al. Differentiating metastatic from nonmetastatic lymph nodes in cervical cancer patients using monoexponential, biexponential, and stretched exponential diffusion-weighted MR imaging[J]. Eur Radiol, 2017, 27(12): 5272-9. doi: 10.1007/s00330-017-4873-1 [34] Xu C, Sun H, Du S, et al. Early treatment response of patients undergoing concurrent chemoradiotherapy for cervical cancer: an evaluation of integrated multi-parameter PET-IVIM MR[J]. Eur J Radiol, 2019, 117: 1-8. doi: 10.1016/j.ejrad.2019.05.012 [35] Gao S, Du S, Lu Z, et al. Multiparametric PET/MR (PET and MR-IVIM) for the evaluation of early treatment response and prediction of tumor recurrence in patients with locally advanced cervical cancer[J]. Eur Radiol, 2020, 30(2): 1191-201. doi: 10.1007/s00330-019-06428-w [36] Le Bihan D. What can we see with IVIM MRI?[J]. Neuroimage, 2019, 187: 56-67. doi: 10.1016/j.neuroimage.2017.12.062 [37] Perucho JAU, Chang HCC, Vardhanabhuti V, et al. B-value optimization in the estimation of intravoxel incoherent motion parameters in patients with cervical cancer[J]. Korean J Radiol, 2020, 21(2): 218. doi: 10.3348/kjr.2019.0232
点击查看大图
计量
- 文章访问数: 433
- HTML全文浏览量: 222
- PDF下载量: 8
- 被引次数: 0