Guo Hong-Bin, Wang Jun-Hu
Department of Ultrasound, Second Affiliated Hospital of Xi'an Medical College, Xi'an.
Department of Ultrasound Diagnosis, Yan'an People's Hospital, Yan'an, China.
Medicine (Baltimore). 2019 May;98(19):e15445. doi: 10.1097/MD.0000000000015445.
Numerous studies have reported that contrast ultrasound (CU) can be utilized for diagnosis in patients with liver cancer (LC) accurately. However, no systematic review has addressed to assess its diagnostic impact on patients with LC. Thus, this systematic review will investigate the accurate of CU diagnosis on LC.
A comprehensive literature search for relevant studies will be performed in the Cochrane Library, EMBASE, MEDILINE, Web of Science, PSYCINFO, Cumulative Index to Nursing and Allied Health Literature, Allied and Complementary Medicine Database, Chinese Biomedical Literature Database, and China National Knowledge Infrastructure from inceptions to the March 10, 2019. All case-controlled studies investigating the impacts of CU diagnosis on LC will be included in this study. Two researchers will independently carry out study selection, quality assessment, and data extraction. The quality will be assessed by using Quality Assessment of Diagnostic Accuracy Studies tool. Statistical analysis will be conducted by RevMan V.5.3 (Cochrane Community, London, UK) and Stata V.12.0 software (Stata Corp, College Station).
This study will present the accuracy of CU diagnosis for patients with LC through the assessment of sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and diagnostic odds ratio of CU.
The findings of this study will summarize the current evidence for accuracy of CU diagnosis in patients with LC.
PROSPERO CRD42019127108.
众多研究报告称，超声造影（CU）可准确用于肝癌（LC）患者的诊断。然而，尚无系统评价来评估其对LC患者的诊断影响。因此，本系统评价将研究CU对LC诊断的准确性。
将在Cochrane图书馆、EMBASE、MEDILINE、科学网、PSYCINFO、护理学与健康照护文献累积索引、补充与替代医学数据库、中国生物医学文献数据库和中国知网中进行全面的文献检索，检索时间从建库至2019年3月10日。所有调查CU诊断对LC影响的病例对照研究都将纳入本研究。两名研究人员将独立进行研究选择、质量评估和数据提取。将使用诊断准确性研究质量评估工具评估质量。将采用RevMan V.5.3（英国伦敦Cochrane协作网）和Stata V.12.0软件（美国德克萨斯州大学站Stata公司）进行统计分析。
本研究将通过评估CU的敏感性、特异性、阳性似然比、阴性似然比和诊断比值比，呈现CU对LC患者诊断的准确性。
本研究结果将总结目前关于CU对LC患者诊断准确性的证据。
PROSPERO CRD42019127108。
