MR压脂T2加权与弥散加权成像在合并肺不张的中心型肺癌中的应用
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摘要
目的探讨MR压脂T2加权与弥散加权成像在合并肺不张的中心型肺癌中的应用及价值。方法选取2016年5月至2018年5月于本院就诊的35例合并肺不张的中心型肺癌患者为研究对象,行MR检查,测量压脂T2WI、DWI图像中感兴趣区信号强度及背景噪声,计算肺癌与肺不张组织的信号强度比(Signal Intensity Ratio,SIR)、噪声比(Contrast-to-Noise Ratio,CNR),观察压脂T2WI、DWI、两者联合图像对肺癌及肺不张组织边界的显示情况。比较单纯压脂T2WI、DWI及联合图像的图像质量和诊断效能。结果 DWI图像的SIR和CNR均高于单纯的压脂T2WI图像,压脂T2WI联合DWI图像区分肺癌组织与不张肺组织边界的阳性率高于压脂T2WI,差异均具有统计学意义。结论压脂T2WI联合DWI能显著提高压脂T2WI对肺癌与肺不张的鉴别能力,压脂T2WI能为DWI图像提供更多的解剖信息,两者互为有力补充。
Objective To investigate the application of fat suppression T2-weighted and diffusion-weighted MR imaging in central lung cancer with atelectasis. Methods A total of 35 patients with central lung cancer combined with atelectasis that admitted to our hospital during May 2016 to May 2018 were enrolled in this study. Signal intensity of region of interest(ROI)and background noise in fat suppression T2 WI and DWI MR images were measured. Signal intensity ratio(SIR) and noise ratio(CNR) of lung cancer and atelectasis tissue were calculated. The boundary display of lung cancer or atelectasis tissues were observed in T2 WI, DWI and fusion MR imagings. The image quality and diagnostic efficacy of T2 WI, DWI and fusion imaging were compared.. Results The SIR and CNR of DWI were higher than those of fat suppression T2 WI(P<0.05). Whereas the positive rate of fusion image was significantly higher than that of fat suppression T2 WI in displaying the boundary of tumor or atelectasis tissue(P<0.05). Conclusion DWI is capable of improving the ability of fat suppression T2 WI to distinguish lung cancer and atelectasis, while fat suppression T2 WI can provide more anatomical information for DWI. The two imaging methods complement each other.
Objective To investigate the application of fat suppression T2-weighted and diffusion-weighted MR imaging in central lung cancer with atelectasis. Methods A total of 35 patients with central lung cancer combined with atelectasis that admitted to our hospital during May 2016 to May 2018 were enrolled in this study. Signal intensity of region of interest(ROI)and background noise in fat suppression T2 WI and DWI MR images were measured. Signal intensity ratio(SIR) and noise ratio(CNR) of lung cancer and atelectasis tissue were calculated. The boundary display of lung cancer or atelectasis tissues were observed in T2 WI, DWI and fusion MR imagings. The image quality and diagnostic efficacy of T2 WI, DWI and fusion imaging were compared.. Results The SIR and CNR of DWI were higher than those of fat suppression T2 WI(P<0.05). Whereas the positive rate of fusion image was significantly higher than that of fat suppression T2 WI in displaying the boundary of tumor or atelectasis tissue(P<0.05). Conclusion DWI is capable of improving the ability of fat suppression T2 WI to distinguish lung cancer and atelectasis, while fat suppression T2 WI can provide more anatomical information for DWI. The two imaging methods complement each other.
引文
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[5]Guo L,Zhang L,Zhao J.CT scan and magnetic resonance diffusion-weighted imaging in the diagnosis and treatment of esophageal cancer[J].Oncol Lett,2018,16(6):7117-7122.
[6]Edmund JM,Nyholm T.A review of substitute CT generation for MRI-only radiation therapy[J].Radiat Oncol,2017,12(1):28
[7]De Galiza Barbosa F,Geismar JH,Delso G,et al.Pulmonary nodule detection in oncological patients-Value of respiratorytriggered,periodically rotated overlapping parallel T2-weighted imaging evaluated with PET/CT-MR[J].Eur JRadiol,2018,98:165-170.
[8]Stecco A,Trisoglio A,Soligo E,et al.Whole-Body MRI with diffusion-weighted imaging in bone metastases:A narrative review[J].Diagnostics(Basel),2018,8(3):45.
[9]Usuda K,Funazaki A,Maeda R,et al.Economic benefits and diagnostic quality of diffusion-weighted magnetic resonance imaging for primary lung cancer[J].Ann Thorac Cardiovasc Surg,2017,23(6):275-280.
[10]Lin X,Lee M,Buck O,et al.Diagnostic accuracy of T1-weighted dynamic contrast-enhanced-MRI and DWI-ADC for differentiation of glioblastoma and primary CNS lymphoma[J]AJNR Am J Neuroradiol,2017,38(3):485-491.
[11]郭明涛,王玉梅,刘玉霞,等.3.0T多b值磁共振扩散加权成像(DWI)在诊断肺部良恶性病变中的临床价值[J].影像研究与医学应用,2018,2(8):154-156.
[12]Huang J,Luo J,Peng J,et al.Cerebral schistosomiasis:diffusionweighted imaging helps to differentiate from brain glioma and metastasis[J].Acta Radiol,2017,58(11):1371-1377.
[13]Partridge SC,Nissan N,Rahbar H,et al.Diffusion-weighted breast MRI:Clinical applications and emerging techniques[J].JMagn Reson Imaging,2017,45(2):337-355.
[14]Futterer JJ,Briganti A,De Visschere P,et al.Can clinically significant prostate cancer be detected with multiparametric magnetic resonance imaging?a systematic review of the literature[J].Eur Urol,2015,68(6):1045-1053.
[15]张翀达,张红梅,孟闫凯,等.T2加权成像和扩散加权成像在直肠癌分期中的应用[J].中华肿瘤杂志,2018,40(1):46-51.
[16]Qu JR,Qin L,Li X,et al.Predicting parametrial invasion in cervical carcinoma(stages ib1,ib2,and iia):diagnostic accuracy of t2-weighted imaging combined with DWI at 3 T[J].Am JRoentgenol,2018,210(3):677-684.