The effects of extracorporeal shock wave therapy in children with cerebral palsy: a systematic review.

Introduction: Spastic Cerebral Palsy (CP) is a major cause of movement disorders in pediatric rehabilitation. Current treatments are often invasive and may lead to substantial discomfort. Extracorporeal shockwave therapy (ESWT) presents a potential alternative, offering a less invasive approach with a reduced side effect profile.

Healthcare Costs of Pressure Injuries among Patients with a Spinal Cord Injury within a Dutch Rehabilitation Center.

Objective: To assess the healthcare costs of pressure injuries (PIs) among patients with a spinal cord injury (SCI) in a Dutch rehabilitation center and determine if those costs were associated with patients' age or sex.

Methods: The direct healthcare costs of PIs were estimated using data from electronic health records of a Dutch rehabilitation center. This dataset contained demographic, clinical, and resource use information of all patients with an SCI or a PI who were treated at the rehabilitation center because of a PI between 2009 and 2022.

PTV Margins in MR-guided and Beam-gated SBRT of Liver Metastases: GTV Dose Escalation Can Reduce the Required PTV.

Aims: Determining appropriate PTV margins for SBRT of liver metastases is a non-trivial task, especially with motion management included. The widely used analytical van Herk margin recipe (van Herk et al., 2000) could break down due to (i) a low number of fractions, (ii) non-Gaussian errors, or (iii) non-homogenous dose distributions.

From molecular to physical function: The aging trajectory.

Aging is accompanied by a decline in muscle mass, strength, and physical function, a condition known as sarcopenia. Muscle disuse attributed to decreased physical activity, hospitalization, or illness (e.g.

Incorporating patient-specific prior clinical knowledge to improve clinical target volume auto-segmentation generalisability for online adaptive radiotherapy of rectal cancer: A multicenter validation.

Background & Purpose: Deep learning (DL) based auto-segmentation has shown to be beneficial for online adaptive radiotherapy (OART). However, auto-segmentation of clinical target volumes (CTV) is complex, as clinical interpretations are crucial in their definition. The resulting variation between clinicians and institutes hampers the generalizability of DL networks.