Publications by authors named "A I Rito"
Article Synopsis
- Studies show HPV-positive and HPV-negative oropharyngeal squamous cell carcinoma (OPSCC) have different molecular profiles, tumor characteristics, and outcomes, highlighting a need for better predictive models.
- This paper presents an explainable Convolutional Neural Network (CNN) model that predicts HPV status in OPSCC patients using pre-treatment CT images, achieving a 73.50% AUC on an independent test set.
- The Grad-CAM technique was employed to identify crucial tumor areas related to predictions, suggesting that the model improves classification accuracy by revealing informative regions for clinical use.
Background: The primary objective of this study was to assess the adequacy of analgesic care in radiotherapy (RT) patients, with a secondary objective to identify predictive variables associated with pain management adequacy using a modern statistical approach, integrating the Least Absolute Shrinkage and Selection Operator (LASSO) algorithm and the Classification and Regression Tree (CART) analysis.
Methods: This observational, multicenter cohort study involved 1387 patients reporting pain or taking analgesic drugs from 13 RT departments in Italy. The Pain Management Index (PMI) served as the measure for pain control adequacy, with a PMI score < 0 indicating suboptimal management.
Liver is the most common site of colorectal cancer (CRC) metastases. Treatment of CRC liver metastases (CRLM) includes different strategies, prevalently based on the clinical and oncological intent. Valid approaches in liver-limited or liver-prevalent disease include surgery, percutaneous ablative procedures (radiofrequency ablation, microwave ablation), intra-arterial perfusional techniques (chemo-embolization, radio-embolization) as well as stereotactic radiotherapy.
View Article and Find Full Text PDFBackground: Pain is a prevalent symptom among cancer patients, and its management is crucial for improving their quality of life. However, pain management in cancer patients referred to radiotherapy (RT) departments is often inadequate, and limited research has been conducted on this specific population. This study aimed to assess the adequacy and effectiveness of pain management when patients are referred for RT.
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