Value of intravoxel incoherent motion diffusion-weighted MR imaging in differentiating malignant from benign pulmonary lesions: a meta analysis

被引:0
作者
Chen, Xiliang [1 ]
Liu, Yuanshui [4 ]
Zhao, Guangyu [5 ]
Ge, Peng [2 ]
Cao, Zhongxing [3 ]
Zhang, Xuede [4 ]
机构
[1] Peoples Hosp Zhangqiu City, Dept Clin Lab, Zhangqiu 250200, Shandong, Peoples R China
[2] Peoples Hosp Zhangqiu City, Dept Plast Reconstruct & Burns Surg, Zhangqiu 250200, Shandong, Peoples R China
[3] Peoples Hosp Zhangqiu City, Dept Orthoped, Zhangqiu 250200, Shandong, Peoples R China
[4] Shandong Univ, Shandong Prov Qianfoshan Hosp, Dept Oncol, Jinan 250014, Shandong, Peoples R China
[5] Taishan Med Univ, Dept Oncol, 619 Changcheng Rd, Tai An 271016, Shandong, Peoples R China
关键词
Lung cancer; magnetic resonance imaging; intravoxel incoherent motion; pulmonary lesions; differentiation; meta-analysis; FORMING CHRONIC-PANCREATITIS; LUNG-CANCER; PRELIMINARY-EXPERIENCE; EMERGING APPLICATIONS; COEFFICIENT ADC; CARCINOMA; NODULES; METAANALYSIS; PARAMETERS; CHEMOTHERAPY;
D O I
暂无
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
Previous studies have indicated that intravoxel incoherent motion model (IVIM) of magnetic resonance imaging (MRI) shows great potential to differentiate malignant from benign lung lesions using various parameters such as pure diffusion coefficient (D), pseudo-diffusion coefficient (D*) and perfusion fraction (f). However, these studies showed inconsistent results. The aim of this meta-analysis was to evaluate the overall diagnostic value of the IVIM model in distinguishing malignant from benign lung lesions. A literature search was conducted in Pubmed, Web of Science, CNKI and Wanfang Data to identify relevant available studies. We compared IVIM parameters between malignant and benign lung lesions and determined sensitivities and specificities across studies and constructed summary receiver operating characteristic SROC) curves. The pooled sensitivities were 0.78 (0.68-0.86), 0.74 (0.65-0.82) and 0.84 (0.74-0.91) for ADC, f and D, respectively. The pooled specificities were 0.83 (0.70-0.93), 0.52 (0.39-0.65) and 0.60 (0.46-0.73) for ADC, f and D, respectively. The AUCs of the SROC were 0.8748, 0.6774 and 0.7868 for ADC, f and D, respectively. The combined weighted mean difference (WMD) suggested the mean values of ADC, D and f in lung cancer were significantly lower than in benign lung diseases. However, there were no significant differences between lung cancer and benign lung diseases for D* value. The IVIM model may be helpful to discriminate malignant from benign lung lesions. Large-scale randomized controlled trials regarding IVIM in characterizing focal pulmonary lesions are still required to be conducted.
引用
收藏
页码:10236 / 10246
页数:11
相关论文
共 50 条
[21]   Diagnostic performance of diffusion-weighted magnetic resonance imaging in pulmonary malignant lesions: a meta-analysis [J].
Chang, Ning ;
Wang, Xiao-Hui ;
Cui, Long-Biao ;
Yin, Hong ;
Jiang, Tao ;
Chen, Fu-lin ;
Liu, Li-Peng ;
Zhang, Jian .
TRANSLATIONAL LUNG CANCER RESEARCH, 2019, 8 (06) :738-+
[22]   Accuracy of quantitative diffusion-weighted imaging for differentiating benign and malignant pancreatic lesions: a systematic review and meta-analysis [J].
Zhu, MeiLin ;
Zhang, ChuanDe ;
Yan, JingXin ;
Sun, Ju ;
Zhao, XinYi ;
Zhang, LuShun ;
Yin, LongLin .
EUROPEAN RADIOLOGY, 2021, 31 (10) :7746-7759
[23]   Magnetic resonance imaging: value of diffusion-weighted imaging in differentiating benign from malignant breast lesions [J].
Stijven, Sandra ;
Gielen, Ellen ;
Bevernage, Charlotte ;
Horvath, Monique ;
Meylaerts, Liesbeth .
EUROPEAN JOURNAL OF OBSTETRICS & GYNECOLOGY AND REPRODUCTIVE BIOLOGY, 2013, 166 (02) :215-220
[24]   Meta-analysis of intravoxel incoherent motion magnetic resonance imaging in differentiating focal lesions of the liver [J].
Wu, Hongzhen ;
Liang, Yingying ;
Jiang, Xinqing ;
Wei, Xinhua ;
Liu, Yu ;
Liu, Weifeng ;
Guo, Yuan ;
Tang, Wenjie .
MEDICINE, 2018, 97 (34)
[25]   Intravoxel incoherent motion diffusion-weighted MR imaging of solid pancreatic masses: reliability and usefulness for characterization [J].
De Robertis, Riccardo ;
Cardobi, Nicolo ;
Ortolani, Silvia ;
Martini, Paolo Tinazzi ;
Stemmer, Alto ;
Grimm, Robert ;
Gobbo, Stefano ;
Butturini, Giovanni ;
D'Onofrio, Mirko .
ABDOMINAL RADIOLOGY, 2019, 44 (01) :131-139
[26]   Value of intravoxel incoherent motion diffusion-weighted imaging in differentiating the pathological grade of clear cell renal cell carcinoma [J].
Yu, Xiaoping ;
Qin, Yuhui ;
Liu, Yan ;
Li, Congrui ;
Xie, Yu ;
Sun, Yan .
INTERNATIONAL JOURNAL OF CLINICAL AND EXPERIMENTAL MEDICINE, 2018, 11 (10) :10923-10928
[27]   Intravoxel incoherent motion MR imaging for differentiating malignant lesions in spine: A pilot study [J].
Chen, Yanjun ;
Yu, Qinqin ;
La Tegola, Luciana ;
Mei, Yingjie ;
Chen, Jialing ;
Huang, Wenhua ;
Zhang, Xiaodong ;
Guglielmi, Giuseppe .
EUROPEAN JOURNAL OF RADIOLOGY, 2019, 120
[28]   Intravoxel Incoherent Motion Diffusion-Weighted Imaging Used to Detect Prostate Cancer and Stratify Tumor Grade: A Meta-Analysis [J].
He, Ni ;
Li, Zhipeng ;
Li, Xie ;
Dai, Wei ;
Peng, Chuan ;
Wu, Yaopan ;
Huang, Haitao ;
Liang, Jianye .
FRONTIERS IN ONCOLOGY, 2020, 10
[29]   Value of diffusion-weighted imaging for the discrimination of pancreatic lesions: a meta-analysis [J].
Wu, Lian-Ming ;
Xu, Jian-Rong ;
Hua, Jia ;
Gu, Hai-Yan ;
Zhang, Xiao-Fei ;
Lu, Qing ;
Hu, Jia-Ni .
EUROPEAN JOURNAL OF GASTROENTEROLOGY & HEPATOLOGY, 2012, 24 (02) :134-142
[30]   Intravoxel incoherent motion diffusion-weighted imaging in differentiating uterine fibroid from focal adenomyosis: initial results [J].
Tian, Tao ;
Zhang, Guo-Fu ;
Zhang, He ;
Liu, Hui .
SPRINGERPLUS, 2016, 5 :1-11