Diffusion-weighted MRI in differentiating malignant from benign thyroid nodules: a meta-analysis

被引:30
|
作者
Chen, Lihua [1 ,2 ]
Xu, Jian [3 ]
Bao, Jing [4 ]
Huang, Xuequan [1 ]
Hu, Xiaofei [1 ]
Xia, Yunbao [2 ]
Wang, Jian [1 ]
机构
[1] Third Mil Med Univ, Southwest Hosp, Dept Radiol, Chongqing, Peoples R China
[2] Taihu Hosp, Dept Radiol, Wuxi, Peoples R China
[3] Taihu Hosp, Dept Gen Surg, Wuxi, Peoples R China
[4] Wuxi Ctr Dis Control & Prevent, Mol Biol Lab, Wuxi, Peoples R China
来源
BMJ OPEN | 2016年 / 6卷 / 01期
关键词
COEFFICIENT VALUES; DIAGNOSTIC-TEST; SYSTEMATIC REVIEWS; SPECTROSCOPY; SPECIFICITY; SENSITIVITY; UTILITY; BIAS; TOOL;
D O I
10.1136/bmjopen-2015-008413
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Objectives: To perform a meta-analysis to evaluate the diagnostic efficacy of diffusion-weighted imaging (DWI) in differentiating malignant from benign thyroid nodules. Design: A meta-analysis. Data sources and study selection: Medical and scientific literature databases were searched for original articles published up to August 2015. Studies were selected if they (1) included diagnostic DWI for differentiating malignant from benign thyroid lesions, (2) included patients who later underwent biopsy and (3) presented sufficient data to enable the construction of contingency tables. Data synthesis: For each study, the true-positive, false-positive, true-negative and false-negative values were extracted or derived, and 2x2 contingency tables were constructed. Methodological quality was assessed using the Quality Assessment of Diagnostic Accuracy Studies (QUADAS) instrument. The heterogeneity test, threshold effect test, subgroup analyses and publication bias analyses were performed. Results: From the 113 identified search results, 15 studies, representing a total of 765 lesions, were included in the meta-analysis. We detected heterogeneity between studies but found no evidence of publication bias. The methodological quality was moderate. The pooled weighted sensitivity was 0.90 (95% CI 0.85 to 0.93); the specificity was 0.95 (95% CI 0.88 to 0.98); the positive likelihood ratio was 16.49 (95% CI 7.37 to 36.86); the negative likelihood ratio was 0.11 (95% CI 0.08 to 0.16); and the diagnostic OR was 150.73 (95% CI 64.96 to 349.75). The area under the receiver operator characteristic curve was 0.95 (95% CI 0.93 to 0.97). Conclusions: Quantitative DWI may be a non-invasive, non-radiative and accurate method of distinguishing malignant from benign thyroid nodules. Nevertheless, large-scale trials are necessary to assess its clinical value and to establish standards regarding b values and cut-off values for DWI-based diagnosis.
引用
收藏
页数:8
相关论文
共 50 条
  • [1] Meta-analysis of quantitative diffusion-weighted MR imaging in differentiating benign and malignant pancreatic masses
    Niu, Xiang-ke
    Bhetuwal, Anup
    Das, Sushant
    Xiao, Ying-quan
    Sun, Feng
    Zeng, Li-chuan
    Yang, Han-feng
    JOURNAL OF HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY-MEDICAL SCIENCES, 2014, 34 (06) : 950 - 956
  • [2] The Role of Diffusion-Weighted Magnetic Resonance Imaging in Differentiating Benign From Malignant Thyroid Nodules: A Descriptive Observational Study
    Monisha, Vijaykumar
    Gowda, N. Rache
    Kumar, Sakalecha Anil
    CUREUS JOURNAL OF MEDICAL SCIENCE, 2022, 14 (10)
  • [3] On the Utility of Quantitative Diffusion-Weighted MR Imaging as a Tool in Differentiation between Malignant and Benign Thyroid Nodules
    Wu, Lian-Ming
    Chen, Xiao-Xi
    Li, Yu-Lai
    Hua, Jia
    Chen, Jie
    Hu, Jiani
    Xu, Jian-Rong
    ACADEMIC RADIOLOGY, 2014, 21 (03) : 355 - 363
  • [4] Comparing the Diagnostic Accuracy of RTE and SWE in Differentiating Malignant Thyroid Nodules from Benign Ones: a Meta-Analysis
    Tian, Wuguo
    Hao, Shuai
    Gao, Bo
    Jiang, Yan
    Zhang, Xiaohua
    Zhang, Shu
    Guo, Lingji
    Yan, Jie
    Luo, Donglin
    CELLULAR PHYSIOLOGY AND BIOCHEMISTRY, 2016, 39 (06) : 2451 - 2463
  • [5] Quantitative differentiation of malignant and benign thyroid nodules with multi-parameter diffusion-weighted imaging
    Zhu, Xiang
    Wang, Jia
    Wang, Yan-Chun
    Zhu, Ze-Feng
    Tang, Jian
    Wen, Xiao-Wei
    Fang, Ying
    Han, Jun
    WORLD JOURNAL OF CLINICAL CASES, 2022, 10 (24) : 8587 - 8598
  • [6] Meta-analysis of diffusion-weighted MRI in the differential diagnosis of lung lesions
    Chen, Lihua
    Zhang, Jiuquan
    Bao, Jing
    Zhang, Lin
    Hu, Xiaofei
    Xia, Yunbao
    Wang, Jian
    JOURNAL OF MAGNETIC RESONANCE IMAGING, 2013, 37 (06) : 1351 - 1358
  • [7] Meta-analysis of dynamic contrast enhancement and diffusion-weighted MRI for differentiation of benign from malignant non-mass enhancement breast lesions
    Zhang, Jing
    Li, Longchao
    Zhang, Li
    Zhe, Xia
    Tang, Min
    Lei, Xiaoyan
    Zhang, Xiaoling
    FRONTIERS IN ONCOLOGY, 2024, 14
  • [8] Diagnostic value of computed tomography scanning in differentiating malignant from benign solitary pulmonary nodules: a meta-analysis
    Zhang, Chuan-yu
    Yu, Hua-long
    Li, Xia
    Sun, Yong-ye
    TUMOR BIOLOGY, 2014, 35 (09) : 8551 - 8558
  • [9] Role of Diffusion-Weighted Magnetic Resonance Imaging in Differentiating Benign From Malignant Thyroid Lesions: A Prospective Study
    Bhargava, Kanika
    Narula, Harneet
    Mittal, Amit
    Sharma, Divya
    Goel, Kritesh
    Nijhawan, Divya
    JOURNAL OF CLINICAL AND DIAGNOSTIC RESEARCH, 2020, 14 (04) : TC1 - TC4
  • [10] Diagnostic Performance of Diffusion-Weighted Imaging for Differentiating Malignant From Benign Intraductal Papillary Mucinous Neoplasms of the Pancreas: A Systematic Review and Meta-Analysis
    Xu, Fan
    Liang, Yingying
    Guo, Wei
    Liang, Zhiping
    Li, Liqi
    Xiong, Yuchao
    Ye, Guoxi
    Zeng, Xuwen
    FRONTIERS IN ONCOLOGY, 2021, 11