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. For each patient, a reference plan was optimized on biologically-weighted dose cost functions. For the first group, 7 LET-optimized plans were obtained by increasing the gross tumor volume (GTV) minimum LETd (minLETd) in the range 37-55 keV/µm, in steps of 3 keV/µm. The optimal LET-optimized plan (LETOPT) was the one maximizing LETd, while adhering to clinical acceptability criteria. Reference and LETOPT plans were compared through dose and LETd metrics (D x , L x to x% volume) for the GTV, clinical target volume (CTV), and organs at risk (OARs). The 7 held-out cases were optimized setting minLETd to the average GTV L98% of the investigation cohort. Both reference and LETOPT plans were recalculated on re-evaluation CTs and compared. Results: GTV L98% increased from (31.8 ± 2.5)keV/µm to (47.6 ± 3.1)keV/µm on the LETOPT plans, while the fraction of GTV receiving over 50 keV/µm increased on average by 36% (p < 0.001), without affecting target coverage goals, or impacting LETd and dose to OARs. The interfraction analysis showed no significant worsening with minLETd set to 48 keV/µm. Conclusion: LETd optimization for large SC could boost the LETd in the GTV without significantly compromising plan quality, potentially improving the therapeutic effects of CIRT for large radioresistant tumors.

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. However, the sensitivity of radiomic features to MRI settings, encompassing DWI protocols and multicenter variations, requires the development of robust and generalizable models. PURPOSE: To develop a comprehensive radiomics framework for noninvasive PCa characterization using ADC maps, focusing on identifying reliable imaging biomarkers against intra- and inter-institution variations. MATERIALS AND METHODS: Two patient cohorts, including an internal cohort (118 PCa patients) used for both training (75%) and hold-out testing (25%), and an external cohort (50 PCa patients) for independent testing, were employed in the study. DWI images were acquired with three different DWI protocols on two different MRI scanners: two DWI protocols acquired on a 1.5-T scanner for the internal cohort, and one DWI protocol acquired on a 3-T scanner for the external cohort. One hundred and seven radiomics features (i.e., shape, first order, texture) were extracted from ADC maps of the whole prostate gland. To address variations in DWI protocols and multicenter variability, a dedicated pipeline, including two-way ANOVA, sequential-feature-selection (SFS), and ComBat features harmonization was implemented. Mann-Whitney U-tests (α = 0.05) were performed to find statistically significant features dividing patients with different tumor characteristics in terms of Gleason score (GS) and T-stage. Support-Vector-Machine models were then developed to predict GS and T-stage, and the performance was assessed through the area under the curve (AUC) of receiver-operating-characteristic curves. RESULTS: Downstream of ANOVA, two subsets of 38 and 41 features stable against DWI protocol were identified for GS and T-stage, respectively. Among these, SFS revealed the most predictive features, yielding an AUC of 0.75 (GS) and 0.70 (T-stage) in the hold-out test. Employing ComBat harmonization improved the external-test performance of the GS model, raising AUC from 0.72 to 0.78. CONCLUSION: By incorporating stable features with a harmonization procedure and validating the model on an external dataset, model robustness, and generalizability were assessed, highlighting the potential of ADC and radiomics for PCa characterization.

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 (DPHYS), RBE-weighted dose (DRBE) and dose-averaged Linear Energy Transfer (LETd), 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. A regularized Cox proportional hazard model (r-Cox) and Survival Support Vector Machine (s-SVM) were tuned within a repeated Cross Validation (CV) and patients were stratified in low/high risk of LR. Models' performance was evaluated through Harrell's concordance statistic (C-index), and survival was represented through Kaplan-Meier (KM) curves. A multivariable logistic regression was fit to the selected feature sets to generate a dosiomics-driven TCP model for each map. These were compared to a reference model built with clinical parameters in terms of f-score and accuracy. RESULTS: The LETd maps reached a test C-index of 0.750 and 0.786 with r-Cox and s-SVM, and significantly separated KM curves. DPHYS maps and clinical parameters showed promising CV outcomes with C-index above 0.8, despite a poorer performance on the test set and patients stratification. The LETd-based TCP showed a significatively higher f-score (0.67[0.52-0.70], median[IQR]) compared to the clinical model (0.4[0.32-0.63], p < 0.025), while DPHYS achieved a significatively higher accuracy (DPHYS: 0.73[0.65-0.79], Clinical: 0.6 [0.52-0.72]). CONCLUSION: This analysis supports the role of LETd as relevant source of prognostic factors for LR in SBC treated with CIRT. This is reflected in the TCP modeling, where LETd and DPHYS showed an improved performance with respect to clinical models.

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. The sCTs were evaluated by means of similarity metrics (e.g., mean absolute error, MAE) and geometrical criteria (e.g., dice coefficient). Recalculated CIRT plans were evaluated through dose volume histogram, gamma analysis and range shift analysis. The CT-based test set presented optimal MAE on bones (86.03 ± 10.76 HU), soft tissues (55.39 ± 3.41 HU) and air (54.42 ± 11.48 HU). Higher values were obtained from the MRI-only test set (MAEBONE = 154.87 ± 22.90 HU). The global gamma pass rate reached 94.88 ± 4.9% with 3%/3 mm, while the range shift reached a median (IQR) of 0.98 (3.64) mm. The three-channel cGAN can generate acceptable abdominal sCTs and allow for CIRT dose recalculations comparable to the clinical plans.

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. Methods: Data source for the Campania region is the data collection forms sent to the national surveillance system. The data source for the national data is from the periodic annual bulletins on HIV/AIDS published by the National Institute of Health. Results: In all, 1149 persons with HIV were diagnosed in 'Cotugno' (69.7% of those diagnosed in Campania). Persons with HIV in Campania showed many similarities with the Italian population: men were in the majority in both groups (about 75%), foreign origin was about 30%, heterosexuals were the most represented risk group, followed by men who have sex with men and injecting drug use in both samples. Some notable differences are also present. Among the risk factors for HIV acquisition, injecting drug use is significantly more common in Campania. Among the reasons for testing, significant differences are evident for almost all reasons, with screening activities (testing for concurrent diseases, for diagnosis of sexually transmitted diseases, screening in hospital during maternity care and screening in drug-addition services or prisons) being more common at the national level. The Campania population has a more severe disease pattern, with a significantly higher proportion of patients diagnosed with less than 200 CD4 cells/µL and AIDS. For each variable, we compared trends in the Campania region and in Italy using Spearman's correlation coefficient. Almost all trends show a weak correlation. Conclusion: In conclusion, the prevalence of injecting drug use is still consistent, and requires specific campaigns. The reasons for testing are different: screening activities work less in Campania than in Italy. This untimely approach contributes to a more severe clinical picture in Campania.

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 (DRBE) and dose-averaged Linear Energy Transfer (LETd) 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. Survival models were built to predict both LR and High-Dose Local Recurrencies (HD-LR). The models were evaluated through Harrell Concordance Index (C-index) and patients were stratified into high/low-risk groups. Local Recurrence-free Kaplan-Meier curves were estimated and evaluated through log-rank tests. The model with highest performance (median(interquartile-range) C-index of 0.86 (0.22)) was built on features extracted from LETd maps, with DRBE models showing promising but weaker results (C-index of 0.83 (0.21), 0.80 (0.21)). Although the study should be extended to a wider patient population, LETd maps show potential as a prognostic factor for SC HD-LR in CIRT, and dosiomics appears to be the most promising approach against more conventional methods (e.g., DVH-based).

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. Among 29 patients with confirmed COVID-19, all U-HR-CT hallmarks showed an excellent concordance with LUS findings according to Cohen coefficient. In our experience, LUS is a viable alternative to U-HR-CT, with the advantages of being radiation-free, flexible, cost-effective, and reasonably reducing nosocomial transmission risks because performed at bed-side.

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. Confirmed patients are older, have more frequently contact with confirmed cases. Distinctive clinical characteristics among COVID-19 were the grand-glass opacities at CT scan, and a pO2/FiO2 ratio less than 250. In not-confirmed group, Influenza represented the most frequent alternative diagnosis. This study contributes to highlight the characteristics to consider at hospital admission in order to promptly suspect COVID-19.

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. CASE REPORT: We describe five cases of KS in HIV-infected patients on HAART regimen, containing PIs as atazanavir/r (ATV/r), darunavir/r (DRV/r), lopinavir/r (LPV/r) and fosamprenavir (fAMP/r). CONCLUSION: Clinical and experimental observations support the hypothesis that PIs may play an important role in prevention and treatment of KS. In our study, the treatment with PIs of recent generation was not protective against the development of KS. Therefore, it could be necessary to re-evaluate the therapeutic effects of PIs and their role in the development and treatment of KS in HIV-infected patients.

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. PATIENTS AND METHODS: 98 consecutive HIV patients were recruited. They underwent a blood draw, a chest radiography and a tuberculin skin test. The HIV infection setting was detected and IGRAs were carried-out. Five patients showed a complete correspondence of TST, TSPOT-TB and QFT-IT. Discordant results were observed in patients testing positive to IGRAs but negative to TST. Only 2 patients showed positive TST and negative IGRAs. CONCLUSION: Our study showed a poor concordance between tuberculin skin test and IGRAs, mainly in patients with a low CD4 cell count.

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. Our results indicate that Amprenavir had direct inhibitory effects on invasion of Huh-7 hepatocarcinoma cell lines, inhibiting MMP proteolytic activation. Amprenavir was able to delay the growth of hepatocarcinoma xenografts in nude mice and had a synergistic effect with Doxorubicin. Furthermore, Amprenavir was able to promote regression of hepatocarcinoma growth in vivo by anti-angiogenetic and overall anti-tumor activities, independently by PI3K/AKT related pathways that at today is one of the more suggestive hypothesis to explain the anti-tumor effects of the different protease inhibitors. In summary these findings suggest novel anti-neoplastic action of Amprenavir on liver cancer showing the possibility of novel combination therapies.

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. The most significant modulation was represented by FAP48 expression. Stable over-expression of FAP48 was able to alter, in vitro, adipogenesis, acting both on calcineurin and glucocorticoid pathways. Finally, we demonstrated that FAP48 over-expression was able to influence the capacity of some HIV drugs, Saquinavir and Efavirenz, but not Stavudine, Amprenavir, and Indinavir to inhibit adipocyte formation. In conclusion, this molecule could be a potential target for novel therapeutic approaches to the HAART related lipodystrophy in HIV patients.

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. Towards this goal, hybridization using Atlas cDNA Expression Arrays allowed simultaneous monitoring of the expression levels of approximately 250 genes and identification of a panel of changes in relation to different therapeutic groups and in the presence of metabolic syndrome, with some genes being up-regulated, while others are down-regulated in the different subgroups of patients. The results of this analysis have shown a panel of transcriptional changes associated with oxidative stress mechanisms that provide a basis for further studies on understanding of mechanisms that, in vivo, are the foundation the metabolic disorders in patients with HIV infection.

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. When considered together, the effects of anti-HIV drugs on 3T3-L1 pre adipocytes are distinct but commonly antiadipogenic, thus suggesting another additional possible mechanism by which antiretroviral therapies could contribute to lipoatrophy.

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.R.N. Cotugno Hospital, Naples, Italy, treated with antiretroviral regimens including fosamprenavir, in order to evaluate the safety of these regimens in relationship to hepatic and metabolic side-effects, also considering co-morbidities and other risk factors. RESULTS: Only seven patients met the criteria to reach the primary end-point (grade ≥ 3 adverse event) and none of them discontinued HAART therapy during the follow-up period. Eighty percent of the patients reached viral load <50 cp/µl at 48 weeks of observation. At the end of follow-up, no patient with fasting serum total cholesterol and/or fasting serum triglycerides above grade 3 was found, while 1 out of 114 (0.88%) cases presented aspartate transaminase and alanine transaminase ≥ grade 3 and 1 out of 114 (0.88%) cases had fasting serum glucose ≥ grade 3. One out of 137 patients developed a malignant neoplasm (0.73%) and 4 (2.92%) displayed newly diagnosed hypertension. CONCLUSION: Fosamprenavir-based regimens caused a low number of serious metabolic adverse events during a 48 week follow-up period, with a low incidence of co-morbidities and satisfying results in terms of viro-immunological response including for patients with already existing co-morbidities requiring other therapies.