Ultrasound Evaluation of Pelvic Floor Function after Transumbilical Laparoscopic Single-Site Total Hysterectomy Using Deep Learning Algorithm.

This study was aimed at investigating the ultrasound based on deep learning algorithm to evaluate the rehabilitation effect of transumbilical laparoscopic single-site total hysterectomy on pelvic floor function in patients. The bilinear convolutional neural network (BCNN) structure was constructed in the ultrasound imaging system. The spatial transformer network (STN) was used to preserve image information.

Ultrasound-targeted microbubble destruction-mediated miR-144-5p overexpression enhances the anti-tumor effect of paclitaxel on thyroid carcinoma by targeting STON2.

The effects of miR-144-5p and paclitaxel (PTX) on thyroid carcinoma were less explored. Thus, we investigated the effects of miR-144-5p and PTX on thyroid carcinoma. The expression and target gene of miR-144-5p in thyroid carcinoma were analyzed by bioinformatics, y qRT-PCR and dual-luciferase reporter assay.

A novel approach to assessing changes in prostate stiffness with age using virtual touch tissue quantification.

Objectives: Virtual touch tissue quantification is a promising new implementation of the acoustic radiation force impulse ultrasound technique. The purposes of this study were to describe the normal shear wave velocity values of the prostate by virtual touch tissue quantification and to examine the clinical usefulness of this procedure in evaluation of age-related shear wave velocity changes in the prostate.

Methods: One hundred twenty healthy volunteers were involved in this study.