Brain Cancer

[Some features controlling the blood D-dimer level after resection of malignant brain glioma].

UNLABELLED: A high blood D-dimer level is often diagnosed in patients with malignant brain glioma (MBG), with 24% of these patients being detected with deep vein thrombosis of the leg and/or pulmonary embolism (PE). The cause of an elevated blood D-dimer level in most other cases remains unclear. The purpose of this study is to identify the features associated with an increased blood D-dimer level...

Assessment of Magnetic Dextran-Spermine Nanoparticles for Capecitabine Delivery to Cancerous Cells.

Cationic polymeric nanoparticles have great potential for developing drug delivery systems with limited side effects for tumor medication. The goal of this research is investigation of cationic dextran-spermine polymer (DS) efficacy for improvement of hydrophilic drug delivery to negatively charged cancerous cells. Capecitabine (as a hydrophilic antineoplastic drug) was loaded into the magnetic de...

Stereotactic robot-assisted MRI-guided laser thermal ablation of radiation necrosis in the posterior cranial fossa: technical note.

Laser interstitial thermal therapy (LITT) is a minimally invasive procedure used to treat a variety of intracranial lesions. Utilization of robotic as...

Automatic tissue characterization of air trapping in chest radiographs using deep neural networks.

Significant progress has been made in recent years for computer-aided diagnosis of abnormal pulmonary textures from computed tomography (CT) images. S...

[Salvage external beam radiation therapy for prostate cancer recurrence after high-intensity focused ultrasound ablation].

The article outlines oncological and functional outcomes of salvage external beam radiation therapy after HIFU-ablation in 49 patients. The study dete...

A machine learning based approach for identifying traumatic brain injury patients for whom a head CT scan can be avoided.

Head CT scan is more often used to evaluate patients with suspected traumatic brain injury (TBI). However, the use of head CT scans in evaluating TBI ...

[Applications of Machine Learning for Radiation Therapy].

Radiation therapy has been highly advanced as image guided radiation therapy (IGRT) by making advantage of image engineering technologies. Recently, n...

KNOWLEDGE-ASSISTED APPROACH TO IDENTIFY PATHWAYS WITH DIFFERENTIAL DEPENDENCIES.

We have previously developed a statistical method to identify gene sets enriched with condition-specific genetic dependencies. The method constructs g...

Anatomical and visual outcome of intravitreal bevacizumab (Avastin) in patients with diabetic macular edema.

BACKGROUND: Intravitreal bevacizumab has been shown to be an effective treatment of diabetic macular edema.

[Enhanced radiosensitivity of H22 ascitic tumor to 12C6+ ions radiation in ultra-filtration extract mixture from Astragalus mongholicus-treated mice].

This study was designed to investigate the impact of ultra-filtration extract mixture from Astragals mongholicus (UEMAM) o radiosensitivity of H22 asc...

Proposal for a Simple and Efficient Monthly Quality Management Program Assessing the Consistency of Robotic Image-Guided Small Animal Radiation Systems.

Modern pre-clinical radiation therapy (RT) research requires high precision and accurate dosimetry to facilitate the translation of research findings ...

[A Patient with Rectal Cancer and Multiple Lung Metastases Treated with XELOX plus Bevacizumab (Bev) Therapy].

The patient was a 76-year-old woman who underwent laparoscopic-assisted low anterior resection for rectal cancer. According to the Japanese classifica...

Validating FMEA output against incident learning data: A study in stereotactic body radiation therapy.

PURPOSE: Though failure mode and effects analysis (FMEA) is becoming more widely adopted for risk assessment in radiation therapy, to our knowledge, i...

The combination of artificial neural networks and synchrotron radiation-based infrared micro-spectroscopy for a study on the protein composition of human glial tumors.

Protein-related changes associated with the development of human brain gliomas are of increasing interest in modern neuro-oncology. It is due to the f...

Models for predicting objective function weights in prostate cancer IMRT.

PURPOSE: To develop and evaluate the clinical applicability of advanced machine learning models that simultaneously predict multiple optimization obje...

Automatic learning-based beam angle selection for thoracic IMRT.

PURPOSE: The treatment of thoracic cancer using external beam radiation requires an optimal selection of the radiation beam directions to ensure effec...

Application of artificial neural networks to link genetic and environmental factors to DNA methylation in colorectal cancer.

AIMS: We applied artificial neural networks (ANNs) to understand the connections among polymorphisms of genes involved in folate metabolism, clinico-p...

Efficacy Analysis of a Script-based Guide for EVAR Execution: is it Possible to Reduce Patient Exposure to Contrast, Operative Time and Blood Loss even when Advanced Technologies are not Available?

INTRODUCTION: Despite the patient and medical staff exposure to radiation in endovascular aneurysm repair, the benefits of this abdominal aortic aneur...