中山大学附属第五医院放射科,广东 珠海 519000
占颖莺,主管技师,研究方向:医学影像技术,E-mail:daphne86du@163.com
纸质出版日期:2023-03-20,
收稿日期:2022-09-13,
扫 描 看 全 文
占颖莺,祝云飞,何小俊等.小视野DWI在中轴型脊柱关节炎定量评估中的价值[J].中山大学学报(医学科学版),2023,44(02):326-334.
ZHAN Ying-ying,ZHU Yun-fei,HE Xiao-jun,et al.Value of Reduced Field-of-view DWI in Quantitative Assessment of Axial Spondyloarthritis[J].Journal of Sun Yat-sen University(Medical Sciences),2023,44(02):326-334.
占颖莺,祝云飞,何小俊等.小视野DWI在中轴型脊柱关节炎定量评估中的价值[J].中山大学学报(医学科学版),2023,44(02):326-334. DOI: 10.13471/j.cnki.j.sun.yat-sen.univ(med.sci).2023.0218.
ZHAN Ying-ying,ZHU Yun-fei,HE Xiao-jun,et al.Value of Reduced Field-of-view DWI in Quantitative Assessment of Axial Spondyloarthritis[J].Journal of Sun Yat-sen University(Medical Sciences),2023,44(02):326-334. DOI: 10.13471/j.cnki.j.sun.yat-sen.univ(med.sci).2023.0218.
目的
2
探讨小视野弥散加权成像(r-FOV DWI)在中轴型脊柱关节炎定量评估中的应用价值。
方法
2
前瞻性收集2019年11月至2021年11月间因慢性腰痛、临床怀疑中轴型脊柱关节炎同时行小视野和全视野DWI成像者112例。首先,2名研究者对DWI图像质量进行主、客观评价,主观评估包括图像解剖细节、变形、伪影、整体图像质量的评分,客观评估包括图像信噪比和对比噪声比。然后,相同2名研究者分别在小视野和全视野DWI上测量3组(活动组、非活动组和对照组)的表观扩散系数(ADC)值,评价观察者间的测量一致性,比较ADC值有无差异。绘制两种技术ADC值受试者工作特征曲线并比较曲线下面积(AUC)。
结果
2
最终纳入102例,根据国际脊柱关节炎协会(ASAS) MRI工作组诊断标准分为3组,其中活动组32例、非活动组29例、对照组41例。小视野DWI图像的主观评分高于全视野DWI [4(3
~
4)
vs
. 3(3
~
3),
P
<0.05];小视野DWI图像的客观评分高于全视野DWI信噪比:6.58(5.05
~
10.38)
vs.
4.46(2.37
~
10.04)对比噪声比:2.04(-1.14
~
8.29)
vs
. 0.97(-8.19
~
7.12);
P
<0.05)。两名观察者测量的组间一致性0.60~0.74(ICC相关系数);活动组、非活动组和对照组的ADC值均具有显著差异(
P
<0.05),小视野DWI测量的ADC值高于全视野DWI。非活动组vs.对照组AUC结果显示,全视野DWI在非活动组
vs
.对照组中优于小视野DWI,其他组别(病变组
vs
.对照组、活动组
vs
.非活动组)两种DWI技术没有统计学差异(
P
<0.05)。
结论
2
小视野DWI可用于中轴型脊柱关节炎的定量评估,且其图像主观评分和信噪比较全视野DWI高。
Objective
2
To investigate the value of reduced field-of-view DWI (r-FOV DWI) in quantitative assessment of axial spondyloarthritis.
Methods
2
A total of 112 patients with chronic back pain or suspected axial spondyloarthritis receiving full field-of-view DWI (f-FOV DWI) and reduced field-of-view DWI (r-FOV DWI) from December 2019 to December 2021 were enrolled. Next, subjective image quality assessment (anatomical detail, artifacts, distortion, overall image quality) and objective image quality assessment including (signal to noise ratio and contrast to noise ratio) were conducted by two experienced radiologists. In addition, the Apparent Diffusion Coefficient (ADC) values of three groups (active group, inactive group, and control group) on the two DWI sequences were measured by the two radiologists, respectively. Finally, the consistency of measurement between the two researchers was evaluated and the differences in ADC values was compared.
Results
2
102 patients were included and were divided into three groups, including the active group (
n
=32), inactive group (
n
=29), and control group (
n
=41) according to ASAS diagnostic criteria. All subjective and objective image quality metrics were rated in favor of r-FOV DWI images compared with f-FOV DWI images [overall image quality: DWI 4(3
~
4)
vs
. 3(3
~
3) and SNR: 6.58(5.05
~
10.38)
vs
. 4.46(2.37
~
10.04), CNR: 2.04(-1.14
~
8.29)
vs
. 0.97(-8.19
~
7.12);
P
<0.05]. Inter-rater consistency of the two researchers were 0.60~0.74. According to the AUC curve, group inactive
vs
. control showed r-FOV DWI was better than f-FOV DWI. In other groups (lesion
vs
. control, active
vs
. inactive), there were no differences between both sequences(
P
<0.05).
Conclusion
2
The subjective image quality score and signal to noise ratio of r-FOV DWI were higher than those of f-FOV DWI, which could be used for quantitative assessment of axial spondyloarthritis.
小视野弥散加权成像中轴型脊柱关节炎磁共振成像表观扩散系数
reduced field-of-view DWIankylosing spondylitismagnetic resonance imagingapparent diffusion coefficient
Walter PM. The role of imaging in the diagnosis and management of axial spondyloarthritis[J]. Nat Rev Rheumatol, 2019, 15(11): 657-672.
赵敏菁, 林智明, 张萍萍,等. 放射学阴性脊柱关节炎和强直性脊柱炎患者的临床特征比较和磁共振早期诊断价值[J]. 中山大学学报(医学科学版), 2015, 36(1): 12-17.
Zhao MJ, Lin ZM, Zhang PP, et al. Clinical features and role of MRI in early diagnosis of non-radiographic axial spondyloarthritis:a comparison with ankylosing spondylitis[J]. J Sun Yat-sen Univ (Med Sci), 2015, 36(1): 12-17.
Meng X, Hu H, Wang Y, et al. Application of bi-planar reduced field-of-view DWI (rFOV DWI) in the assessment of muscle-invasiveness of bladder cancer[J]. Eur J Radiol. 2021, 136: 109486.
Zhao YH, Cao YY, Zhang Q, et al. Role of Diffusion-weighted and contrast-enhanced magnetic resonance imaging in differentiating activity of ankylosing spondylitis[J]. Chin Med J (Engl), 2017, 130(11): 1303-1308.
Cao J, Gao S, Zhang C, et al. Differentiating atypical hemangiomas and vertebral metastases: a field-of-view (FOV) and FOCUS intravoxel incoherent motion (IVIM) diffusion-weighted imaging (DWI) study[J]. Eur Spine J, 2020, 29(12): 3187-3193.
Peng Y, Li Z, Tang H, et al. Comparison of reduced field-of-view diffusion-weighted imaging (DWI) and conventional DWI techniques in the assessment of rectal carcinoma at 3.0T: Image quality and histological T staging[J]. J Magn Reson Imaging, 2018, 47(4): 967-975.
Felix NH, Omar K, Georgios AK, et al. Qualitative and quantitative comparison of respiratory triggered reduced field-of-view (FOV) versus full fov diffusion weighted imaging (DWI) in pancreatic pathologies[J]. Acad Radiol, 2021, 28 Suppl 1: S234-S243.
Kasar S, Ozturk M, Polat AV. Quantitative T2 mapping of the sacroiliac joint cartilage at 3T in patients with axial spondyloarthropathies[J]. Eur Radiol, 2022 ,32(2):1395-1403.
Sieper J, Poddubnyy D. Axial spondyloarthritis[J]. Lancet, 2017, 390(10089): 73-84.
Rudwaleit M, van der Heijde D, Landewé R, et al. The development of assessment of spondyloarthritis international society classification criteria for axial spondyloarthritis (part Ⅱ): validation and final selection[J]. Ann Rheum Dis, 2009, 68(6): 777-783.
Cai JS, Chen HY, Chen JY, et al. Reduced field-of-view diffusion-weighted imaging (DWI) in patients with gastric cancer: comparison with conventional DWI techniques at 3.0T: a preliminary study[J]. Medicine (Baltimore), 2020, 99(1): e18616.
Wang D, Yin H, Liu W, et al. Comparative analysis of the diagnostic values of T2 mapping and diffusion-weighted imaging for sacroiliitis in ankylosing spondylitis[J]. Skeletal Radiol, 2020, 49(10): 1597-1606.
黄正平, 古洁若. 影像学骶髂关节炎的鉴别诊断需密切结合临床特征[J]. 中山大学学报(医学科学版), 2015, 36(1): 18-23.
Huang ZP, Gu RJ. Differential diagnosis of radiographic sacroiliitis should be closely integrated with clinical features[J]. J Sun Yat-sen Univ (Med Sci), 2015, 36(1): 18-23.
Walter PM, Robert GL, Mikkel Ø, et al. MRI lesions in the sacroiliac joints of patients with spondyloarthritis: an update of definitions and validation by the ASAS MRI working group[J]. Ann Rheum Dis, 2019, 78(11): 1550-1558.
Jiang Y, Li W, Zheng J, et al. Magnetic resonance image compilation sequence to quantitatively detect active sacroiliitis with axial spondyloarthritis[J]. Quant Imaging Med Surg, 2022, 12(7): 3666-3678.
占颖莺, 张珂, 郑晶, 等. MR集合序列定量参数评价中轴型脊柱关节炎骶髂关节病变[J]. 中国医学影像技术, 2021, 37(8): 1214-1218.
Zhan YY, Zhang K, Zheng J, et al. Quantitative parameters of MR compilation sequence for evaluation on axial spondyloarthritis sacroiliac joint disease[J]. Chin J Medi Imag Technol, 2021, 37(8): 1214-1218.
杨正汉, 冯逢, 王霄英. 磁共振成像技术指南——检查规范、临床策略及新技术(修订版)[J].中国医学影像学杂志, 2010, 18(4): 312.
Yang ZH, Feng Y, Wang XY. A guide to technique of magnetic resonance imaging——criterion of examination,clinical strategy and application of new techniqes[J]. Chin J Med Imag, 2010, 18(4): 312.
徐俏宇, 孙宏亮, 徐妍妍,等. 磁共振小视野弥散加权成像技术在影像诊断中的研究进展[J]. 磁共振成像, 2017, 8(7): 556-560.
Xu XY,Sun HL,Xu YY,et al. Research advances in reduced field of view diffusion weighted imaging[J]. Chin J Magn Reson Imag, 2017, 8(7): 556-560.
Wu S, Zou X, Wang Q,et al. Gallbladder carcinoma: an initial clinical experience of reduced field-of-view diffusion-weighted MRI[J]. Cancer Imaging, 2020, 20(1): 50.
赵英华, 孙尔维, 韩新爱, 等. 扩散加权成像与对比增强MRI评估强直性脊柱炎活动性的对比研究[J]. 中华放射学杂志, 2015, 49(9): 665-669.
Zhao YH, Sun EW, Han XA, et al. Comparative study between diffusion weighted imaging and contrast-enhanced MRI in assessment of the activity of ankylosing spondylitis[J]. Chin J Radiol, 2015, 49(9): 665-669.
Zhang H, Huang H, Zhang Y, et al. Diffusion-weighted MRI to assess sacroiliitis: improved image quality and diagnostic performance of readout-segmented echo-planar imaging (EPI) over conventional single-shot EPI[J]. AJR Am J Roentgenol, 2021, 217(2): 450-459.
Mannelli L, Monti S, Corrias G, et al. Comparison of navigator triggering reduced field of view and large field of view diffusion-weighted imaging of the pancreas[J]. J Comput Assist Tomogr, 2019, 43(1): 143-148.
琚超, 陈欢, 刘莹, 等. 磁共振NODDI联合DSC-PWI在成人脑胶质瘤分级诊断中的应用价值[J]. 影像诊断与介入放射学, 2021, 30(6): 425-431.
Ju C, Chen H, Liu Y. Value of magnetic resonance NODDI combined with DSC-PWI in the grading diagnosis of glioma[J]. J Diagn Imag Intervent Radiol, 2021, 30(6): 425-431.
0
浏览量
0
下载量
0
CSCD
关联资源
相关文章
相关作者
相关机构