Xiao Zhu1, Jun-Ming Huang2, Kun Zhang3, Long-Jie Xia1, Lan Feng4, Ping Yang2, Meng-Ya Zhang5, Wei Xiao5, Hui-Xia Lin5, Ying-Hua Yu6. 1. Department of Breast Surgery of Affiliated Tumor Hospital of Guangxi Medical University, Guangxi, PR China. 2. Department of Oncology, Panyu Hospital of Chinese Medicine, Guangdong, PR China. 3. Deparment of Breast Surgery, The Affiliated Yantai Yuhuangding Hospital of Qingdao University, Shandong, PR China. 4. National Center for Protein Sciences, Beijing, PR China. 5. Graduate School of Guangxi Medical University, Guangxi, PR China. 6. Department of Breast Surgery of Affiliated Tumor Hospital of Guangxi Medical University, Guangxi, PR China. Electronic address: carolyu111@139.com.
Abstract
BACKGROUND: Contrast-enhanced spectral mammography (CESM) is a new image examination technology that has developed over the past few years. As CESM technology keeps improving, a current meta-analysis review is needed to systematically evaluate the potential diagnostic value of CESM. METHODS: A total of 18 studies were included in the review. Sensitivity, specificity, and other important parameters of CESM accuracy for breast cancer diagnosis were pooled and analyzed using random-effects models. Summary receiver operating characteristic curves were calculated for overall accuracy estimation. RESULTS: The summary estimates for CESM in the diagnosis of breast cancer were as follows: the pooled sensitivity and specificity were 0.89 (95% confidence interval [CI], 0.88-0.91) and 0.84 (95% CI, 0.82-0.85), respectively. Positive likelihood ratio was 3.73 (95% CI, 2.68-5.20), negative likelihood ratio was 0.10 (95% CI, 0.06-0.15), and diagnostic odds ratio was 71.36 (95% CI, 36.28-140.39). The area under the curve was 0.96 (standard error = 0.011). CONCLUSION: CESM has a high diagnostic accuracy for evaluating breast cancer and can be considered as a useful test for initial assessment of breast lesions.
BACKGROUND: Contrast-enhanced spectral mammography (CESM) is a new image examination technology that has developed over the past few years. As CESM technology keeps improving, a current meta-analysis review is needed to systematically evaluate the potential diagnostic value of CESM. METHODS: A total of 18 studies were included in the review. Sensitivity, specificity, and other important parameters of CESM accuracy for breast cancer diagnosis were pooled and analyzed using random-effects models. Summary receiver operating characteristic curves were calculated for overall accuracy estimation. RESULTS: The summary estimates for CESM in the diagnosis of breast cancer were as follows: the pooled sensitivity and specificity were 0.89 (95% confidence interval [CI], 0.88-0.91) and 0.84 (95% CI, 0.82-0.85), respectively. Positive likelihood ratio was 3.73 (95% CI, 2.68-5.20), negative likelihood ratio was 0.10 (95% CI, 0.06-0.15), and diagnostic odds ratio was 71.36 (95% CI, 36.28-140.39). The area under the curve was 0.96 (standard error = 0.011). CONCLUSION: CESM has a high diagnostic accuracy for evaluating breast cancer and can be considered as a useful test for initial assessment of breast lesions.
Authors: L M F H Neeter; I P L Houben; P J Nelemans; T J A Van Nijnatten; R M Pijnappel; C Frotscher; M Osinga-de Jong; F Sanders; T Van Dalen; H P J Raat; B A B Essers; J E Wildberger; M L Smidt; M B I Lobbes Journal: Trials Date: 2019-12-23 Impact factor: 2.279
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