Thyroid nodules are very common all over the world, and China is no exception. Ultrasound plays an important role in determining the risk stratification of thyroid nodules, which is critical for clinical management of thyroid nodules. For the past few years, many versions of TIRADS (Thyroid Imaging Reporting and Data System) have been put forward by several institutions with the aim to identify whether nodules require fine-needle biopsy or ultrasound follow-up. However, no version of TIRADS has been widely adopted worldwide till date. In China, as many as ten versions of TIRADS have been used in different hospitals nationwide, causing a lot of confusion. With the support of the Superficial Organ and Vascular Ultrasound Group of the Society of Ultrasound in Medicine of the Chinese Medical Association, the Chinese-TIRADS that is in line with China's national conditions and medical status was established based on literature review, expert consensus, and multicenter data provided by the Chinese Artificial Intelligence Alliance for Thyroid and Breast Ultrasound.

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Purpose To investigate the diagnostic performance of two-dimensional (2D) shear-wave elastography (SWE) in chronic hepatitis B. Materials and Methods This prospective multicenter study from January 2015 to January 2016 was conducted at 12 hospitals and included 654 participants with chronic hepatitis B who had undergone liver biopsy and 2D SWE examination. Participants were divided into chronic infection and chronic hepatitis groups. The diagnostic performance of 2D SWE was compared with the aspartate amino transferase-to-platelet ratio index (APRI), the Fibrosis-4 index (FIB-4), and transient elastography (TE) by using a DeLong test and was also compared between two subgroups. Dual cutoff values for cirrhosis were determined with multilevel likelihood ratio analysis. Results Overall, 402 participants with chronic hepatitis B were enrolled (154 with chronic infection and 248 with chronic hepatitis). The areas under the receiver operating characteristic curve of 2D SWE (0.87; 95% confidence interval [CI]: 0.83, 0.90) were higher than those of TE (0.80; 95% CI: 0.68, 0.88), APRI (0.70; 95% CI: 0.65, 0.74), and FIB-4 (0.73; 95% CI: 0.69, 0.78) in cirrhosis. The high area under the receiver operating characteristic curve (0.92; 95% CI: 0.87, 0.96) was achieved in the chronic infection group and was significantly higher than that of the chronic hepatitis group (0.84; 95% CI: 0.78, 0.88; P = .017). Dual cutoff values with the likelihood ratios below 0.1 and above 10 (8.4 kPa and 11.0 kPa to rule out and rule in a diagnosis of cirrhosis, respectively) were effectively determined in chronic infection; a total of 81.2% (125 of 154) participants with cirrhosis were definitively diagnosed. Conclusion The performance of two-dimensional (2D) shear-wave elastography (SWE) was higher than that of other noninvasive methods. 2D SWE was most effective in ruling in and ruling out cirrhosis in participants with chronic infection, which may prompt antiviral treatment. © RSNA, 2018 Online supplemental material is available for this article.

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Hypoxia, an important component of the tumor microenvironment, plays a crucial role in the occurrence and progression of cancer. However, to the best of our knowledge, a systematic analysis of a hypoxia-related prognostic signature for breast cancer is lacking and is urgently required. Therefore, in the present study, RNA-seq data and clinical information were downloaded from The Cancer Genome Atlas (TCGA) and served as a discovery cohort. Cox proportional hazards regression analysis was performed to construct a 14-gene prognostic signature (PFKL, P4HA2, GRHPR, SDC3, PPP1R15A, SIAH2, NDRG1, BTG1, TPD52, MAFF, ISG20, LALBA, ERRFI1 and VHL). The hypoxia-related signature successfully predicted survival outcomes of the discovery cohort (P<0.001 for the TCGA dataset). Three independent Gene Expression Omnibus databases (GSE10886, GSE20685 and GSE96058) were used as validation cohorts to verify the value of the predictive signature (P=0.007 for GSE10886, P=0.021 for GSE20685, P<0.001 for GSE96058). In the present study, a robust predictive signature was developed for patients with breast cancer, and the findings revealed that the 14-gene hypoxia-related signature could serve as a potential prognostic biomarker for breast cancer.