circ_0039787 promotes cervical cancer cell tumorigenesis by regulation of the miR-877-5p-KRAS axis.

Circular RNA (circRNA) is a novel type of RNA that plays an important role in the occurrence and development of many malignant tumors. However, the potential regulatory role and molecular mechanisms of circRNAs in cervical cancer (CC) are still not clear. Here, we explored circRNAs associated with CC from the Gene Expression Omnibus (GEO) datasets GSE113696 and GSE102686.

VLTENet: A Deep-Learning-Based Vertebra Localization and Tilt Estimation Network for Automatic Cobb Angle Estimation.

Scoliosis diagnosis and assessment rely upon Cobb angle estimation from X-ray images of the spine. Recently, automated scoliosis assessment has been greatly improved using deep learning methods. However, in such methods, the Cobb angle is usually predicted based on regression models that don't account for information of the spine structure.

BX2S-Net: Learning to reconstruct 3D spinal structures from bi-planar X-ray images.

Grasping good understanding of the weight-bearing spatial structure of the spine of a human subject in a standing position is critical for the treatment of spinal disorders. Such disorders are commonly diagnosed via 2D X-ray imaging of the human subject in a standing position. However, 3D reconstruction techniques based on bi-planar X-ray imaging can enable better exploration and analysis of the spinal structure.

Effects of biophilic virtual reality on cognitive function of patients undergoing laparoscopic surgery: study protocol for a sham randomised controlled trial.

Introduction: Virtual reality (VR) is already being used for cognitive or emotional rehabilitation. However, its role in postoperative cognitive dysfunction (POCD) has not been fully recognised. Due to the lack of an effective postoperative follow-up system, the incidence of POCD in China is not clear, and although many drugs have been proposed to improve POCD in the animal study, their clinical applications are limited, while VR provides an innovative method to provide non-pharmacological management.

Radiomics and stacking regression model for measuring bone mineral density using abdominal computed tomography.

Background: Measurement of bone mineral density (BMD) is the most important method to diagnose osteoporosis. However, current BMD measurement is always performed after a fracture has occurred.

Purpose: To explore whether a radiomic model based on abdominal computed tomography (CT) can predict the BMD of lumbar vertebrae.

Primary Exophytic Extraskeletal Osteosarcoma of the Liver: A Case Report and Literature Review.

Introduction: Primary hepatic extraskeletal osteosarcoma (ESOS) is a rare tumor with no specific clinical manifestations, and little is known about it. Here, we describe an elderly patient with primary hepatic osteosarcoma confirmed by pathology results to raise awareness.

Case Report: We report an unusual case of a 62-year-old man who presented with right upper quadrant pain.

Dual-crosslinked hyaluronan hydrogels with rapid gelation and high injectability for stem cell protection.

Injectable dynamic hydrogels play a key role in cell transplantation to protect the cells from shear stress during injection. However, it still remains challenging to design dynamic hydrogels with fast gelation and high stability for protecting cells under flow due to the slow formation and exchange of most dynamic bonds. Here, a novel dual-crosslinked hydrogel system with fast dynamic crosslinks is developed by using methacrylate chitosan (CHMA) and aldehyde functionalized hyaluronate (oxidized HA, OHA).

A combination of glioma in vivo imaging and in vivo drug delivery by metal-organic framework based composite nanoparticles.

The success of glioma chemotherapy is hampered by low intratumoral drug concentration and severe toxicity in normal organs. Glioma diagnosis and total tumor resection depend on enhanced magnetic resonance imaging (MRI) results which provide the best solution for recognizing tumor mass anatomical details with high spatial resolution. Zeolite imidazole frameworks (ZIFs) have pore channel tunability, large specific surface area and porosity, and have broad application prospects in adsorption, catalysis and drug loading.