Wang Tuan, Shuai Jian-Jun, Li Xing, Wen Zhi
Department of Radiology, Affiliated Tumor Hospital of Xinjiang Medical University.
Department of Imaging Center, Traditional Chinese Medicine Hospital of Xinjiang Uyghur Autonomous Region.
Medicine (Baltimore). 2019 Apr;98(16):e15175. doi: 10.1097/MD.0000000000015175.
Previous clinical studies have reported that full field digital mammography (FFDM) can be used for diagnosis on breast cancer (BC) with promising outcome results. However, no study systematically investigates its diagnostic impact on female patients with BC. Thus, this systematic review will assess the accurate of FFDM diagnosis on BC.
In this study, we will perform a comprehensive search strategy in the databases as follows: Cochrane Library, EMBASE, MEDILINE, PSYCINFO, Web of Science, Cumulative Index to Nursing and Allied Health Literature, Allied and Complementary Medicine Database, Chinese Biomedical Literature Database, China National Knowledge Infrastructure, VIP Information, and Wanfang Data from inception to February 28, 2019. All case-controlled studies exploring the impacts of FFDM diagnosis for patients BC will be fully considered for inclusion in this study. Two authors will independently scan the title and abstracts for relevance, and assess full texts for inclusion. They will also independently extract data and will assess methodological qualify for each included study by using Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool. RevMan V.5.3 software (London, UK) and Stata V.12.0 software (Texas, USA) will be used to pool the data and to conduct the meta-analysis.
The sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and diagnostic odds ratio of FFDM will be used to determine the diagnostic accuracy of FFDM for the diagnosis of patients with BC.
Its findings will provide latest evidence for the diagnostic accuracy of FFDM in female patients with BC.
PROSPERO CRD42019125338.
既往临床研究报道，全视野数字乳腺摄影（FFDM）可用于乳腺癌（BC）诊断，结果前景良好。然而，尚无研究系统调查其对女性乳腺癌患者的诊断影响。因此，本系统评价将评估FFDM对BC诊断的准确性。
在本研究中，我们将在以下数据库中执行全面检索策略：考克兰图书馆、EMBASE、医学索引数据库、心理学文摘数据库、科学引文索引数据库、护理学与健康照护领域累积索引数据库、补充与替代医学数据库、中国生物医学文献数据库、中国知网、维普资讯和万方数据，检索时间从建库至2019年2月28日。所有探讨FFDM诊断对BC患者影响的病例对照研究都将被充分考虑纳入本研究。两名作者将独立筛查标题和摘要的相关性，并评估全文是否纳入。他们还将独立提取数据，并使用诊断准确性研究质量评估（QUADAS-2）工具评估每项纳入研究的方法学质量。将使用RevMan V.5.3软件（英国伦敦）和Stata V.12.0软件（美国德克萨斯州）汇总数据并进行荟萃分析。
FFDM的敏感性、特异性、阳性似然比、阴性似然比和诊断比值比将用于确定FFDM对BC患者诊断的准确性。
其研究结果将为FFDM在女性BC患者中的诊断准确性提供最新证据。
国际前瞻性系统评价注册库CRD42019125338。
