Publications by authors named "Lorenzo Lattavo"
Article Synopsis
- The study aims to create a predictive grading model using diffusion kurtosis imaging (DKI) to assess gliomas in children and link these predictions to overall survival and progression-free survival outcomes.
- The research analyzed 59 children diagnosed with gliomas, utilizing various imaging metrics from a standardized MRI process to develop models that estimate the likelihood of high-grade gliomas.
- Results showed the combined model using both DTI and DKI metrics provided the most accurate predictions, significantly correlating with patient survival outcomes, with an impressive AUC of 0.946 for the combined model.
Urothelial tumours are the fourth most common cancer in the world and account for the majority of tumours involving the bladder. The symptom that often leads to diagnosis is the presence of haematuria. Diagnosis is made by cystoscopy, which is currently the gold standard in bladder cancer.
View Article and Find Full Text PDFProstate cancer (PCa) is the most frequent male malignancy and the assessment of PCa aggressiveness, for which a biopsy is required, is fundamental for patient management. Currently, multiparametric (mp) MRI is strongly recommended before biopsy. Quantitative assessment of mpMRI might provide the radiologist with an objective and noninvasive tool for supporting the decision-making in clinical practice and decreasing intra- and inter-reader variability.
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