Publications by authors named "Joaquin Vallejos"
Article Synopsis
- A study was conducted on pediatric patients with sellar-suprasellar tumors to create a deep learning algorithm for better classification using MRI images.
- 226 Chilean patients were analyzed, categorized into three groups: healthy controls, craniopharyngioma, and other sellar/suprasellar tumors.
- The findings showed a high predictive positive value (PPV) and negative predictive value (NPV) for the algorithm, highlighting the potential of explainable AI in assisting radiological diagnoses.
Objective: To compare specific fetal cranial and cerebral findings indicative of prenatal intracranial hypotension (PICH) syndrome between open and closed cephaloceles.
Methods: Two groups of fetuses with cephalocele who underwent magnetic resonance imaging scan were selected based on the defect coverage: covered ("closed cephalocele" group, n = 4) and uncovered by skin ("open cephalocele" group, n = 8). The presence of signs associated with PICH syndrome was evaluated and findings compared between groups.
Cervical incompetence it's a dilatation of the cervix during the third trimester of pregnancy that ends with the interruption of it. The incidence in Chile is about 0.1-2% of the total pregnancies and it's one of the causes of preterm birth.
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