Thyroid imaging reporting and data system (TI-RADS) in the diagnostic value of thyroid nodules: a systematic review.
This review was to assess the overall diagnostic accuracy of thyroid imaging reporting and data system (TI-RADS) classification in the differentiated diagnosis of patients with thyroid nodules. The diagnostic accuracy of TI-RADS was identified by using data from PubMed, the Cochrane Library, and other databases, which was from Jan 1966 to Dec 2013. Meta-analysis methods were used to obtain pooled sensitivity, specificity, negative likelihood ratio, positive likelihood ratio, diagnostic odds ratio, and summary receiver operating characteristic curves. A total of five studies with 7,753 thyroid nodules enrolled met the inclusion criteria in this meta-analysis. TI-RADS had a pooled sensitivity of 0.75 (95 % confidence interval 0.72-0.78) and a pooled specificity of 0.69 (95 % confidence interval 0.68-0.70). The pooled diagnostic odds ratio was 24.28 (95 % confidence interval 14.25-41.38). The overall area under the curve was 0.9177, and the Q* index was 0.8304. The TI-RADS classification was the accurate diagnostic technique for differentiating thyroid nodules.
Department of Diagnostic and Therapeutic Ultrasonography, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
Xi
X
Wei
Ying
Y
Li
Sheng
S
Zhang
Ming
M
Gao
D003937:Diagnosis, Differential; D003952:Diagnostic Imaging; D006801:Humans; D011237:Predictive Value of Tests; D013961:Thyroid Gland / Q000473:pathology*; D016606:Thyroid Nodule / Q000175:diagnosis* / Q000473:pathology