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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The present study aimed to determine whether an miRNA (miR)-29b inhibitor protected against cerebral ischemia/reperfusion (I/R) injury in vitro and to investigate the underlying mechanisms. As a model for induced cerebral IR injury, N2a cells were exposed to an oxygen-glucose deprivation/reoxygenation (OGD/R) environment. Using this model, it was demonstrated that miR-29b was significantly upregulated compared with cells in a normal environment. The interactions between miR-29b and myeloid cell leukemia sequence (MCL)-1 were then investigated using dual-luciferase assays, revealing a strong regulation of MCL-1 through the 3′untranslated region. Using the OGD/R model, the present study additionally examined the effects of miR-29b and miR-29b inhibitor on cell viability and apoptosis using Cell Counting kit 8 and flow cytometry assays, respectively. miR-29b transfection led to increased N2a cell apoptosis and reduced cell viability under an OGD/R environment. However, this effect was reversed by the miR-29b inhibitor. Finally, the effects of miR-29b on the expression of several Wnt-associating proteins were examined. It was observed that B cell lymphoma-2 was inhibited by miR-29b, as was MCL-1, whereas caspase-3 expression was promoted. The miR-29b inhibitor demonstrated the opposite effect. Overall, miR-29b promoted neurocyte apoptosis by targeting MCL-1 during cerebral I/R injury. The results of the present study suggest a potential novel therapeutic target for the treatment of ischemic stroke.

Background This study aims to determine the prediction performance of a machine learning-based clinical model for cervical lymph node metastasis (CLNM) in micropapillary thyroid carcinoma (MPTC) with ultrasound (US).Methods Patients with MPTC who underwent total or hemithyroidectomy with unilateral or bilateral prophylactic central neck dissection were included (n = 692). Nodal status was pathologically determined. Clinical and US features and thyroid function markers were extracted to build a random forest model. A nomogram with the significant predictive risk factors from multivariable logistic regression analysis was built to visualize hazard rates. Finally, the predictive performances of the models were compared.Results Overall, 332 patients (47.98%) had CLNM. In multiple logistic regression, the strong predictive risk factors for CLNM were younger age, larger anteroposterior diameter, lower anteroposterior/transverse diameter (A/T) ratio, and higher thyroglobulin (TG) concentration (P < 0.05). The random forest and nomogram models showed good predictive performance with the area under the curves (AUCs) of 0.836 and 0.780, respectively, which were significantly higher than those without A/T ratio in the models (AUCs: 0.807 vs. 0.722, all P < 0.05). The AUC of the A/T ratio as a single feature for predicting CLNM was 0.744, while A/T ratio (≤ 0.828) combined with anteroposterior diameter (≥ 10 mm) yielded a higher AUC of 0.754 for predicting CLNM.Conclusions The machine learning-based clinical model with US had a good predictive performance for CLNM in MPTC patients. This clinical model may facilitate surgical decision-making for MPTC, especially regarding whether cervical lymph node dissection is warranted.