Loading clinical trials...
Loading clinical trials...
Discover 17,836 clinical trials near Boston, Massachusetts. Find research studies in your area.
Showing 5981-6000 of 17,836 trials
NCT06690801
The goal of this observational study is to determine whether a marker of dead space (the end-tidal to alveolar dead space fraction \[AVDSf\]) is more strongly associated with mortality risk than markers of oxygenation abnormality (oxygenation index) and to determine whether dead space (AVDSf) is an important marker of heterogeneity in the inhaled nitric oxide (iNO) treatment effect for children with acute respiratory distress syndrome (ARDS). The study aims are: 1. To validate AVDSf for risk stratification of mortality in pediatric ARDS 2. To determine if there is heterogeneity in treatment effect for iNO defined by AVDSf 3. To detect the association between AVDSf and microvascular dysfunction trajectory and whether iNO therapy modifies this association This is a prospective, multicenter observational study of 1260 mechanically ventilated children with moderate to severe ARDS. In a subgroup of 450 children with severe ARDS, longitudinal blood samples will be obtained to measure plasma protein markers.
NCT05062772
Predicting the survival of patients diagnosed with glioblastoma (GBM) is essential to guide surgical strategy and subsequent adjuvant therapies. Intraoperative ultrasound (ioUS) is a low-cost, versatile technique available in most neurosurgical departments. The images from ioUS contain biological information possibly correlated to the tumor's behavior, aggressiveness, and oncological outcomes. Today's advanced image processing techniques require a large amount of data. Therefore, the investigators propose creating an international database aimed to share intraoperative ultrasound images of brain tumors. The acquired data must be processed to extract radiomic or texture characteristics from ioUS images. The rationale is that ultrasound images contain much more information than the human eye can process. Our main objective is to find a relationship between these imaging characteristics and overall survival (OS) in GBM. The predictive models elaborated from this imaging technique will complement those already based on other sources such as magnetic resonance imaging (MRI), genetic and molecular analysis, etc. Predicting survival using an intraoperative imaging technique affordable for most hospitals would greatly benefit the patients' management.