Virtual elastography ultrasound via generative adversarial network for breast cancer diagnosis.

Elastography ultrasound (EUS) imaging is a vital ultrasound imaging modality. The current use of EUS faces many challenges, such as vulnerability to subjective manipulation, echo signal attenuation, and unknown risks of elastic pressure in certain delicate tissues. The hardware requirement of EUS also hinders the trend of miniaturization of ultrasound equipment. Here we show a cost-efficient solution by designing a deep neural network to synthesize virtual EUS (V-EUS) from conventional B-mode images. A total of 4580 breast tumor cases were collected from 15 medical centers, including a main cohort with 2501 cases for model establishment, an external dataset with 1730 cases and a portable dataset with 349 cases for testing. In the task of differentiating benign and malignant breast tumors, there is no significant difference between V-EUS and real EUS on high-end ultrasound, while the diagnostic performance of pocket-sized ultrasound can be improved by about 5% after V-EUS is equipped.

Transcription factor Sox3 is required for oogenesis in the teleost fish Nile tilapia.

Oogenesis is a complex developmental process responsible for the production of eggs from oogonia in fish and other animals. However, transcriptional regulation underlying oogenesis is not fully understood. In the present study, we demonstrated in the teleost fish Nile tilapia that the Sox transcription factor family member Sox3 was involved in regulating oocyte growth during oogenesis. Fluorescence in situ hybridization showed that Sox3 expression was enriched in growing oocytes of ovary but could not be detected in testes. CRISPR/Cas9-mediated homozygous mutation in the Sox3 gene disrupted oocyte growth. Further analysis revealed that Sox3 mutation caused a decrease in the contents of neutral lipids in oocytes and estradiol-17 beta (E2) production. RNA-seq-based transcriptome profiling and RT-qPCR analysis in ovaries demonstrated that the expression levels of genes involved in E2 production, lipid accumulation, and yolk formation were significantly downregulated following Sox3 mutation. Altogether, our findings indicate that Sox3 is required for oocyte growth in Nile tilapia and provides insights into transcriptional regulation underlying oogenesis in teleost fish.

Comprehensive Risk System Based on Shear Wave Elastography and BI-RADS Categories in Assessing Axillary Lymph Node Metastasis of Invasive Breast Cancer-A Multicenter Study.

Purpose: To develop a risk stratification system that can predict axillary lymph node (LN) metastasis in invasive breast cancer based on the combination of shear wave elastography (SWE) and conventional ultrasound. Materials and Methods: A total of 619 participants pathologically diagnosed with invasive breast cancer underwent breast ultrasound examinations were recruited from a multicenter of 17 hospitals in China from August 2016 to August 2017. Conventional ultrasound and SWE features were compared between positive and negative LN metastasis groups. The regression equation, the weighting, and the counting methods were used to predict axillary LN metastasis. The sensitivity, specificity, and the areas under the receiver operating characteristic curve (AUC) were calculated. Results: A significant difference was found in the Breast Imaging Reporting and Data System (BI-RADS) category, the "stiff rim" sign, minimum elastic modulus of the internal tumor and peritumor region of 3 mm between positive and negative LN groups (p < 0.05 for all). There was no significant difference in the diagnostic performance of the regression equation, the weighting, and the counting methods (p > 0.05 for all). Using the counting method, a 0-4 grade risk stratification system based on the four characteristics was established, which yielded an AUC of 0.656 (95% CI, 0.617-0.693, p < 0.001), a sensitivity of 54.60% (95% CI, 46.9%-62.1%), and a specificity of 68.99% (95% CI, 64.5%-73.3%) in predicting axillary LN metastasis. Conclusion: A 0-4 grade risk stratification system was developed based on SWE characteristics and BI-RADS categories, and this system has the potential to predict axillary LN metastases in invasive breast cancer.

The value of contrast-enhanced ultrasound in determining the location of sentinel lymph nodes in breast cancer.

BACKGROUND: This study aimed to explore the sentinel lymph node (SLN) identification rate in breast cancer by subcutaneous and intradermal injection of ultrasound contrast agent in the mammary areola region, compared to the results achieved with methylene blue (MB). METHODS: A total of 390 breast cancer patients with planned sentinel lymph node biopsy from our breast surgery department from July 2017 to February 2019 were enrolled. All patients were subjected to preoperative contrast-enhanced ultrasound (CEUS), that involved an intracutaneous injection of 1 mL ultrasonic contrast agent (UCA) at 3 and 6 o 'clock, as well as a subcutaneous injection of 1 mL UCA at 9 and 12 o'clock. The enhanced lymph nodes along the enhanced lymphatic vessels from the mammary areola were traced. The number of enhanced lymph nodes were recorded, and an ultrasound-guided injection of 1:10 diluted carbon nanoparticles were used to mark all first site enhanced lymph nodes (i.e., SLNs). An intraoperative dye method (MB) was used to track the SLNs and the results were compared with the CEUS findings. RESULTS: Among the 390 cases of breast cancer, enhanced SLNs were observed in 373 patients after an injection of UCA with an identification rate of 95.64 % (373/390), compared to the identification rate of 92.05 % (359/390) using the intraoperative MB. The difference between the two methods was statistically significant (P = 0.016). And among the 390 patients, a total of 808 enhanced lymph nodes were traced by preoperative CEUS, with a median of 2 (1,3). A total of 971 blue-stained lymph nodes were traced using the intraoperative MB, with a median of 2 (2,3), indicating a statistically significant difference (p < 0.001). CONCLUSIONS: Intradermal and subcutaneous injections of UCA in the mammary areola region may have clinical application value for the identification and localization of SLNs in breast cancer patients. The identification rate is higher than that of blue dye method, which can be used as a new tracer of sentinel lymph node biopsy and complement other staining methods to improve the success rate.

Optimized algorithm in solid thyroid nodule elastography.

The present study aimed to evaluate the reproducibility and accuracy of the optimized algorithm of shear-wave elastography (SWE) in diagnosing solid thyroid nodules. Two hundred and sixty-three solid thyroid nodules in 248 patients who underwent conventional ultrasound and SWE, respectively, by two operators were scheduled for fine-needle aspiration or surgery. Elasticity indices of the mean, minimum and maximum of nodules (EI) and thyroid parenchyma (EInorm) were measured respectively in the same frame of elastographic images for three times by both operators. The intraobserver and interobserver reproducibility of the optimized algorithm were assessed by intraclass correlation coefficients (ICC). Diagnostic performance of the optimized algorithm was compared with that of conventional SWE measurements by receiver-operating characteristic (ROC) curves. Among a total of 243 nodules included, 121 were benign nodules and 122 were papillary thyroid carcinoma (PTC). Intraobserver reliability for EId and EIr was nearly perfect (ICC>0.80). Interobserver agreement for MEANd, MAXd, MEANr and MAXr was nearly perfect (ICC>0.80). MAXd had the largest areas under the ROC curve which was 0.82. Compared with conventional SWE, the optimized algorithm of SWE shows better reproducibility and performance in diagnosing solid thyroid nodules.