[1] Dutta SK,Chattopadhyaya A,Roy S. Evaluation of fine needle aspiration and imprint cytology in the early diagnosis of breast lesions with histopathological correlation[J]. Indian Med Assoc,2013,99(8):421-423.
[2] Kocjan G. Needle aspiration cytology of the breast:Current perspective on the role in diagnosis and management[J]. Acta Med Croatica,2013,62(4):391-401.
[3] Nguansangiam S,Jesdapatarakul S,Tangjitgamol S. Accuracy of fine needle aspiration cytology from breast masses in Thailand[J]. Asian Pac J Cancer Prev,2013,10(4):623-626.
[4] Collins LC,Achacoso N,Nekhlyudov L,et al. Relationship between clinical and pathologic features of ductal carcinoma in situ and patient age:An analysis of 657 patients[J].Am J Surg Pathol,2014,33(12):1802-1808.
[5] Lam WW,Chu WC,Tang AP,et al. Role of radiologic features in the management of papillary lesions of the breast[J].Am J Roentgenol,2016,186(5):1322-1327.
[6] Manfrin E,F(xiàn)alsirollo F,Remo A,et al. Cancer size,histotype,and cellular grade may limit the success of fine-needle aspiration cytology for screen-detected breast carcinomap[J]. Cancer Cytopathol,2014,117(6):491-499.
[中圖分類號] R455.2 [文獻標識碼] B [文章編號] 1673-9701(2017)04-0110-06
Meta analysis of differential diagnosis value of benign and malignant breast lesions by dynamic contrast enhanced magnetic combined with diffusion weighted imaging
SHI Rui1 WANG Yiting1 WANG Yang1 ZHANG Lichao1 ZHANG Jin2
1.Department of Medical Imaging, Shanxi Medical University, Taiyuan 030001, China; 2.Shanxi Medical University Second Hospital, Taiyuan 030001, China
[Abstract] Objective To comprehensively evaluate the differential diagnostic value of dynamic contrast enhanced magnetic(DCE-MRI) combined with diffusion-weighted imaging(DWI) in benign and malignant breast lesions by Meta analysis. Methods Relevant literature publically released from January 2007 to October 2016 in Chinese Academic Journals(online version), Wanfang Medical Data Service Platform, Chinese Biomedical Database, PubMeb Central-NLM Journal, Cochrane Library, Ovid Evidence-based Medicine Database, Science Direct Foreign Language Database and other databases were searched by computer. The literature was screened according to the specified inclusion criteria, and the data information was extracted. Meta-analysis was used to statistically analyze the extracted data. Results A total of 15 articles were included, and 910 lesions were included. The literature was homogeneous, and the fixed effect model was used to calculate the overall sensitivity, specificity was 92% and 88% respectively. The area under the ROC curve was 0.96, 95%CI(0.94, 0.97). Conclusion DCE-MRI combined with diffusion weighted imaging has a high diagnostic value in the diagnosis of benign and malignant breast lesions. It is an accurate and noninvasive method widely used in breast imaging.
[Key words] Breast lesions; Dynamic contrast enhanced magnetic(DCE-MRI); Diffusion-weighted imaging (DWI); Meta analysis
[1] Lindsey ATorre,F(xiàn)reddie Bray,Rebecca L Siegel,et al. Global Cancer Statistics,2012[J]. Ca Cancer J Clin,2015, 65(2):87-108.
[2] Sibel Kul,Aysegul Cansu,Etem Alhan,et al. Contribution of diffusionweighted imaging to dynamic contrast-enhanced MRI in the characterization of breast tumors[J].AJR,2011,196:210-217.
[3] Qinghua Min,Kangwei Shao,Lulan Zhai,et al. Differential diagnosis of benign and malignant breast masses using diffusion-weighted magnetic resonance imaging[J]. World Journal of Surgical Oncology,2015,13:32-38.
[4] Sebnem Orguc,Isil Basara,Teoman Coskun. Diffusion-weighted MR imaging of the breast:Comparison of apparent diffusion coefficient values of normal breast tissue with benign and malignant breast lesion[J]. Singapore Med J,2012,53(11):737-743.
[5] Guangwei Jin,Ningyu An,Michael A Jacobs,et al. The Role of Parallel Diffusion-Weighted Imaging and Apparent Diffusion Coefficient(ADC)Map Values for Evaluating Breast Lesions:Preliminary Results[J]. Acad Radiol,2010,17(4):456-463.
[25] Sardanelli F,Boetes C,Borisch B,et al. Magnetic resonance imaging of the breast:Recommendations from the EUSOMA working group[J]. Eur J Cancer,2010,46(8):1296-1316.
[26] Ritse M Mann,Corinne Balleyguier,Pascal A Baltzer,et al. Breast MRI:EUSOBI recommendations for women's information[J]. Eur Radiol,2015,25:3669-3678.
[27] Mary C Mahoney,Constantine Gatsonis,Lucy Hanna,et al.Positive Predictive Value of BI-RADS MR Imaging[J]. Radiology,2012,264(1):51-58.
[28] Li Zhang,Min Tang,Zhiqian Min,et al. Accuracy of combined dynamic contrast-enhanced magnetic resonance imaging and diffusion-weighted imaging for breast cancer detection:A meta-analysis[J]. Acta Radiologica,2016,57(6):651-660.
[29] 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, 161:401-407.
[30] Hongmin Cai,Yanxia Peng,Caiwen Qu,et al. Diagnosis of Breast Masses from Dynamic Contrast Enhanced and Diffusion-Weighted MR:A Machine Learning Approach[J].PloS One,2014,9(1):e87387.
[31] Cennet Sahin,Erkin Ar?Dbal. The role of apparent diffusion coefficient values in the differential diagnosis of breast lesions in diffusion-weighted MRI[J]. Diagn Interv Radiol,2013,19:457-462.
[33] Xin Chen,Wen-ling Li,Yi-li Zhang,et al. Meta-analysis of quantitative diffusion-weighted MR imaging in the differential diagnosis of breast lesions[J]. BMC Cancer,2010,10:693.
[34] SC Partridge,WB DeMartini,BF Kurland,et al. Quantitative diffusion-weighted imaging as anadjunct to conventional breast MRI for improved positive predictive value[J]. American Journal of Roentgenology,2009,193(6):1716-1722.