Publications by authors named "P P Mainenti"
Presented here is a case report of a 77-year-old woman affected by rheumatoid arthritis who underwent breast-conserving surgery followed by radiation therapy (RT) for left-breast cancer and developed bronchiolitis obliterans organizing pneumonia (BOOP) after RT and during a COVID-19 vaccination campaign. BOOP incidence is an uncommon morbidity after breast RT (1.2%-2.
View Article and Find Full Text PDFAmyotrophic lateral sclerosis (ALS) is a neuromuscular progressive disorder characterized by limb and bulbar muscle wasting and weakness. A total of 30% of patients present a bulbar onset, while 70% have a spinal outbreak. Respiratory involvement represents one of the worst prognostic factors, and its early identification is fundamental for the early starting of non-invasive ventilation and for the stratification of patients.
View Article and Find Full Text PDFEndometrial cancer (EC) is intricately linked to obesity and diabetes, which are widespread risk factors. Medical imaging, especially magnetic resonance imaging (MRI), plays a major role in EC assessment, particularly for disease staging. However, the diagnostic performance of MRI exhibits variability in the detection of clinically relevant prognostic factors (e.
View Article and Find Full Text PDFArticle Synopsis
- The study aimed to create and validate a predictive model for placental accreta spectrum (PAS) in patients with placenta previa (PP) by combining clinical risk factors with ultrasound (US) and MRI signs.
- Researchers analyzed data from 171 patients, identifying key predictors of PAS including maternal smoking, cesarean section history, and specific imaging signs from US and MRI.
- A nomogram was developed with a strong diagnostic performance, achieving 91% sensitivity and 88% specificity in predicting PAS, indicating that MRI provides more valuable information than US alone.
Article Synopsis
- The study aimed to evaluate various manual segmentation methods of placenta MRI images to predict Placenta Accreta Spectrum (PAS) disorders in patients with placenta previa using machine learning radiomics analysis.
- A total of 64 patients underwent MRI, with different segmentation techniques applied to identify areas of interest in the placenta and surrounding tissues, followed by a rigorous validation process to find the most effective method for predicting PAS.
- Results indicated that the segmentation method focusing on the retroplacental myometrium yielded the highest prediction accuracy for PAS, suggesting its significance in developing predictive models in clinical settings.