Tumor control probability in large sacral chordomas treated with carbon ions radiotherapy integrating advanced microstructural modelling.

Purpose: To integrate patient-specific cell count data from diffusion-weighted MRI (DWI) into the linear-quadratic (LQ) Poisson tumor control probability (TCP) model for sacral chordomas (SC) treated with carbon ion radiotherapy (CIRT), aiming to improve local control (LC) and local relapse (LR) prediction.

Materials And Methods: We considered data from 37 of the first 50 SC patients consecutively treated at the National Centre for Oncological Hadrontherapy (CNAO, Pavia, Italy). LQ Poisson formalism was revised to integrate either a linear (TCP) or logarithmic (TCP) dependence on clonogenic cell count, derived from baseline DWI through an optimal match with in-silico simulations.

Deep-learning synthetized 4DCT from 4DMRI of the abdominal site in carbon-ion radiotherapy.

Purpose: To investigate the feasibility of deep-learning-based synthetic 4DCT (4D-sCT) generation from 4DMRI data of abdominal patients undergoing Carbon Ion Radiotherapy (CIRT).

Material And Methods: A 3-channel conditional Generative Adversarial Network (cGAN) was trained and tested on twenty-six patients, using paired T1-weighted 4DMRI and 4DCT volumes. 4D-sCT data were generated via the cGAN following a 3-channels segmentation approach (air, bone, soft tissue) in two scenarios: (a) 4DCT-based approach (i.

Balancing benefits and limitations of linear energy transfer optimization in carbon ion radiotherapy for large sacral chordomas.

Background And Purpose: A low linear energy transfer (LET) in the target can reduce the effectiveness of carbon ion radiotherapy (CIRT). This study aimed at exploring benefits and limitations of LET optimization for large sacral chordomas (SC) undergoing CIRT.

Materials And Methods: Seventeen cases were used to tune LET-based optimization, and seven to independently test interfraction plan robustness.

Addressing intra- and inter-institution variability of a radiomic framework based on Apparent Diffusion Coefficient in prostate cancer.

Background: Prostate cancer (PCa) is a highly heterogeneous disease, making tailored treatment approaches challenging. Magnetic resonance imaging (MRI), notably diffusion-weighted imaging (DWI) and the derived Apparent Diffusion Coefficient (ADC) maps, plays a crucial role in PCa characterization. In this context, radiomics is a very promising approach able to disclose insights from MRI data.

A dosiomics approach to treatment outcome modeling in carbon ion radiotherapy for skull base chordomas.

Purpose: To investigate the role of dosiomics features extracted from physical dose (D), RBE-weighted dose (D) and dose-averaged Linear Energy Transfer (LET), to predict the risk of local recurrence (LR) in skull base chordoma (SBC) treated with Carbon Ion Radiotherapy (CIRT). Thus, define and evaluate dosiomics-driven tumor control probability (TCP) models.

Materials And Methods: 54 SBC patients were retrospectively selected for this study.

Synthetic CT in Carbon Ion Radiotherapy of the Abdominal Site.

The generation of synthetic CT for carbon ion radiotherapy (CIRT) applications is challenging, since high accuracy is required in treatment planning and delivery, especially in an anatomical site as complex as the abdomen. Thirty-nine abdominal MRI-CT volume pairs were collected and a three-channel cGAN (accounting for air, bones, soft tissues) was used to generate sCTs. The network was tested on five held-out MRI volumes for two scenarios: (i) a CT-based segmentation of the MRI channels, to assess the quality of sCTs and (ii) an MRI manual segmentation, to simulate an MRI-only treatment scenario.

A Dosiomics Analysis Based on Linear Energy Transfer and Biological Dose Maps to Predict Local Recurrence in Sacral Chordomas after Carbon-Ion Radiotherapy.

Carbon Ion Radiotherapy (CIRT) is one of the most promising therapeutic options to reduce Local Recurrence (LR) in Sacral Chordomas (SC). The aim of this work is to compare the performances of survival models fed with dosiomics features and conventional DVH metrics extracted from relative biological effectiveness (RBE)-weighted dose (D) and dose-averaged Linear Energy Transfer (LET) maps, towards the identification of possible prognostic factors for LR in SC patients treated with CIRT. This retrospective study included 50 patients affected by SC with a focus on patients that presented a relapse in a high-dose region.

Evolving epidemiology of HIV/AIDS in Campania region, 2011-2018: Is HIV/AIDS population in Campania different?

Objectives: Data on HIV/AIDS cases in Italy are collected using a standardised form. Regional epidemiology may vary. We described the epidemiological and clinical characteristics of newly diagnosed persons with HIV in the 'Cotugno' hospital in Naples during 2011-2018 and compared them with national data to identify similarities and differences.

Use of lung ultrasound in COVID-19: comparison with ultra-high-resolution computed tomography among 29 patients at "D. Cotugno" hospital, Naples, Italy.

Ultra-High-Resolution Computed Tomography (U-HR-CT) is the reference imaging technique for pneumonia in the new coronavirus disease (COVID-19). Pulmonary Ultrasound (LUS) could be a valid diagnostic alternative for the imaging of COVID-19. Our study aimed to investigate the clinical performance of LUS in the initial evaluation of pneumonia in COVID-19 patients, compared to standard U-HR-CT.

Differences among confirmed and not-confirmed COVID-19 patients at "D.Cotugno" hospital, Naples (Italy): what we learned from first suspected cases?

Clinical presentation of COVID-19 is common to other respiratory infections. We compared the characteristics at hospital admission of confirmed and not-confirmed COVID-19 patients, in the early phase of the epidemic. Thirty-seven suspected patients were enrolled, and COVID-19 was confirmed in 17.

Interferon gamma release assays and tubercolin skin test performance in different settings of HIV immunodeficiency.

Background/aim: HIV infection is a risk factor for re-activation of latent tubercolosis infection (LTBI). In recent years new blood tests for the detection of TB infection have been developed: Quantiferon TB Gold in Tube and TSPOT TB, which are interferon-γ releasing assays (IGRAs), have improved the identification of LTBI. In our study we have compared IGRAs and TST in HIV-positive patients with different settings of immunodeficiency.

Different impact of anti-retroviral regimen containing protease inhibitors on development of HIV-related Kaposi sarcoma.

Background: The incidence of Kaposi's sarcoma (KS), an AIDS-related malignancy, has dramatically decreased in the Highly Active Anti-retroviral Therapy (HAART) era. However, KS remains the second most frequent tumor in HIV-infected patients worldwide and has become the most common cancer in the sub-Saharan Africa. Experimental studies have demonstrated a direct anti-neoplastic effect of HAART, and overall of protease inhibitors (PIs), on KS.

Amprenavir inhibits the migration in human hepatocarcinoma cell and the growth of xenografts.

The introduction of HAART (highly-active-antiretroviral-therapy) has resulted in extended survival of HIV positive patients. Conversely, due to the prolonged expectancy of life and the ageing of the HIV positive population, tumors are now one of the major cause of death, and among them hepatocellular carcinoma (HCC) has become a growing concern in these patients. Considering the potential anti-tumoral effects of HIV protease inhibitors, we decided to evaluate the anti-tumoral activity of Amprenavir on liver carcinoma and to evaluate its potential synergistic effects in combination with standard chemoterapic drugs, such as Doxorubicin.

Role of FAP48 in HIV-associated lipodystrophy.

The highly active antiretroviral therapy (HAART) can cause a metabolic syndrome consisting of lipodystropy/lipoatrophy, dyslipidemia, and type 2 diabetes mellitus with an increased cardiovascular risk. The pathogenetic bases of HAART-associated lipodystrophy are poorly known. A genetic screen was used to evaluate proteins that are modulated in HIV-1-infected patients with or without lipodystrophy syndrome, that are routinely treated with HAART regimens.

Suppression of pre adipocyte differentiation and promotion of adipocyte death by anti-HIV drugs.

In the present study, we investigated the ability of anti-HIV drugs to interfere with normal cell cycle progression and to induce oxidative stress by perturbing the redox environment. Our results provide evidence that anti-HIV drugs have a differential effect on adipocyte cell cycle and differentiation, being able to modify the response to oxidative stress through an increase of reactive oxygen species (ROS) that compromises the induction of phase-2 and antioxidant enzymes. In detail, saquinavir, efavirenz, and stavudine exert antiadipogenic influences on the model 3T3-L1 cell line, perturbing the oxidative response and inducing of apoptosis.

Comparative transcriptional profiling in HIV-infected patients using human stress arrays: clues to metabolic syndrome.

Highly active antiretroviral therapy (HAART therapy) for HIV-1 infection has significantly increased the survival and quality of life of patients with this disease. However, in several epidemiological studies the onset of metabolic syndrome is a phenomenon reported to be extremely frequent. In the present study, genes involved in the molecular cascade responsible for the alteration of fat tissue and of lipid and glucose metabolism in patients with HIV-1 infection treated with antiretroviral therapy were identified.

Safety of fosamprenavir in a cohort of HIV-1-infected patients with co-morbidities.

Background: The hypothesis that fosamprenavir-including highly active antiretroviral therapy (HAART) regimens would be associated with few metabolic and hepatic side-effects was investigated.

Patients And Methods: An observational single-arm retrospective study was set up on a cohort of 139 human immunodeficiency virus (HIV)-infected patients, followed up at A.O.