Publications by authors named "N Dispensa"

Introduction: Penile metastases (PMs) are a rare clinical presentation mainly related to advanced stages of disease. Considering the low incidence, an optimal treatment approach has not yet been defined; surgery, chemotherapy, and radiotherapy (RT) are different options used in the vast majority with palliative intent. The advances in modern RT can represent an innovative tool in PM management and a curative option.

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Purpose: Aim of this study was to evaluate a fully automated deep learning network named Efficient Neural Network (ENet) for segmentation of prostate gland with median lobe enlargement compared to manual segmentation.

Materials And Methods: One-hundred-three patients with median lobe enlargement on prostate MRI were retrospectively included. Ellipsoid formula, manual segmentation and automatic segmentation were used for prostate volume estimation using T2 weighted MRI images.

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Introduction: BCG and MMC shortage and Covid-19 pandemic, more recently, limit accessibility to maintenance regimen in intravesical prophylaxis against recurrence of non-muscle invasive bladder cancer (NMIBC). Ellagic acid (EA) and Annona muricata (AM) exert antitumor activity against different human tumours. An observational prospective study on the prophylactic effect of oral administration of EA+AM in patients avoiding maintenance regimen is presented.

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Article Synopsis
  • A study evaluated 647 prostate MRI scans to determine the prevalence and importance of incidental findings (IFs) that were not directly related to prostate cancer.
  • The results showed that 52.7% of patients had at least one IF, with higher rates among those older than 65 years.
  • Significant IFs were mostly found in older patients, including instances of bladder and testicular tumors, indicating that such findings are common and clinically relevant in this age group.
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Background: To evaluate if normal and pathological prostate tissue can be distinguished by using apparent diffusion coefficient (ADC) values on magnetic resonance imaging (MRI) and to understand if it is possible to differentiate among pathological prostate tissues using ADC values.

Methods: Our population consisted in 81 patients (mean age 65.4 years) in which 84 suspicious areas were identified.

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