Skull base reconstruction using hydroxyapatite and nasoseptal flap versus nasoseptal flap alone: meta-analysis and systematic review.

Endoscopic endonasal surgery (EES) is widely employed for interventions in skull base. Despite advancements in surgical techniques, cerebrospinal fluid (CSF) leakage remains a significant concern. The introduction of nasoseptal flap (NSF) dramatically reduced the CSF leakage rates, yet reconstruction techniques continue to vary among institutions and lack standardization.

Current Alberta radiation therapy care practices for patients with obesity and recommendations for improvement.

Introduction: Obesity has been associated with increased incidence of cancer thereby impacting the number of patients with obesity who may require radiation therapy (RT) treatment. Previous studies have detailed the impacts of obesity on RT treatment delivery including considerations when positioning, imaging, and communicating with patients. However, there is limited literature regarding best clinical practices used by Canadian RT departments when treating patients with obesity.

Nanoparticle-Based Combinational Strategies for Overcoming the Blood-Brain Barrier and Blood-Tumor Barrier.

The blood-brain barrier (BBB) and blood-tumor barrier (BTB) pose substantial challenges to efficacious drug delivery for glioblastoma multiforme (GBM), a primary brain tumor with poor prognosis. Nanoparticle-based combinational strategies have emerged as promising modalities to overcome these barriers and enhance drug penetration into the brain parenchyma. This review discusses various nanoparticle-based combinatorial approaches that combine nanoparticles with cell-based drug delivery, viral drug delivery, focused ultrasound, magnetic field, and intranasal drug delivery to enhance drug permeability across the BBB and BTB.

Automated Segmentation and Diagnostic Measurement for the Evaluation of Cervical Spine Injuries Using X-Rays.

Accurate assessment of cervical spine X-ray images through diagnostic metrics plays a crucial role in determining appropriate treatment strategies for cervical injuries and evaluating surgical outcomes. Such assessment can be facilitated through the use of automatic methods such as machine learning and computer vision algorithms. A total of 852 cervical X-rays obtained from Gachon Medical Center were used for multiclass segmentation of the craniofacial bones (hard palate, basion, opisthion) and cervical spine (C1-C7), incorporating architectures such as EfficientNetB4, DenseNet201, and InceptionResNetV2.