Non-destructive techniques for structural characterization of cultural heritage: A pilot case study

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Laparoscopic drainage of an ovarian haematoma in a Martina Franca jenny (Equus asinus)

An 11-year-old Martina Franca jenny (Equus Asinus), involved in a breed recovery programme organised by the Puglia Region, was referred to the University’s Veterinary Teaching Hospital for a mass formation detected on the surface of the right ovary. The subject had regular oestrous cycles, but gestation loss was reported in the anamnesis. The ovarian mass was monitored by transrectal palpation and ultrasonography. In the differential diagnosis, an ovarian haematoma, a haemorrhagic anovulatory follicle and a granulosa cell tumour were hypothesised; a surgical resolution with laparoscopic access was chosen. During surgery, about 750 ml of haemorrhagic fluid was drained, confirming the suspect of the ovarian haematoma. After resolution, the jenny was inseminated, eventually giving birth to a live and viable foal. Usually, an ovarian haematoma spontaneously regresses, but, in this report, the lesion remained stable for more than two months, leading to the decision of the surgical resolution. Furthermore, to the authors’ knowledge, this lesion has never been reported in donkeys

Immature ovarian teratoma in two heifers

A 15 months-old Simmental heifer (SH) and a 18 months-old Marchigiana heifer (MH) were referred to the Faculty of Veterinary Medicine of Teramo (Italy). In the first heifer, clinical examination of the vulva, vestibulum, and vagina showed no signs of disease and no discharge was detected. Palpation per rectum revealed a mass in the left portion of the abdominal cavity, closely attached to the tip of the left uterine horn. The mass was mainly firm and fibrous and its surface was slightly lobulated. The second heifer had a history of a regular cycle from the 11thto the 14thmonth of age followed by an anoestrus state. Gynecological examination revealed the presence of a large and firm mass in the caudal left region of the abdomen, soon over the edge of the pelvis floor. In both cases, the histologica examination of the mass revealed an immature ovarian teratoma

Early Monitoring Response to Therapy in Patients with Brain Lesions Using the Cumulative SUV Histogram

Featured Application The study proposes a methodology to evaluate the response of patients with brain lesions to Gamma Knife treatments through the use of Positron Emission Tomography imaging. Gamma Knife treatment is an alternative to traditional brain surgery and whole-brain radiation therapy for treating cancers that are inaccessible via conventional treatments. To assess the effectiveness of Gamma Knife treatments, functional imaging can play a crucial role. The aim of this study is to evaluate new prognostic indices to perform an early assessment of treatment response to therapy using positron emission tomography imaging. The parameters currently used in nuclear medicine assessments can be affected by statistical fluctuation errors and/or cannot provide information on tumor extension and heterogeneity. To overcome these limitations, the Cumulative standardized uptake value (SUV) Histogram (CSH) and Area Under the Curve (AUC) indices were evaluated to obtain additional information on treatment response. For this purpose, the absolute level of [11C]-Methionine (MET) uptake was measured and its heterogeneity distribution within lesions was evaluated by calculating the CSH and AUC indices. CSH and AUC parameters show good agreement with patient outcomes after Gamma Knife treatments. Furthermore, no relevant correlations were found between CSH and AUC indices and those usually used in the nuclear medicine environment. CSH and AUC indices could be a useful tool for assessing patient responses to therapy

Valorisation of typical products through characterising and promoting actions: morpho-biometric traits, sensory analysis and flavonol content in Cipolla di Giarratana

The performances of 9 accessions of Cipolla di Giarratana landrace were evaluated at 5 different sites located 2 in the area where this landrace is traditionally grown (South-Eastern Sicily, 550 m asl), 2 in the neighbor areas with similar average altitude, and one on the South East coast of Sicily (sea level). Biometric and morphological traits, flavonol content and sensory profile were all considered in the valorisation of a typical product of a marginal area of Sicily. Data on the actual yield and crop management at farm scale were also obtained involving more than half of the growers actually cultivating Cipolla di Giarratana , and measuring yield, plant density, and bulb weight directly on the farms. The Cipolla di Giarratana landrace is characterised by a large and heavy bulb (535 g), strongly flattened at the poles, with the maximum diameter at the central section, and white in colour. Significant differences in bulb weight and diameter were found among accessions and locations, but there were no interactions between them and one accession reported the highest bulb weight value in all of the locations studied. With regards to bulb weight, farm scale data confirm the results we obtained at the experimental locations. Fifty percent of registered yield at farm scale ranged between 86 and 152 t ha –1 with a median of 119 t ha –1 , and measured plant density revealed that 50% of the farmers planted 20-27 plants per square meter. Analysis of the UV-vis and mass spectra showed the presence of 10 different flavonols with Quercetin as the most represented flavonol. The sensory profile of Cipolla di Giarratana onion showed that this landrace is characterised by a high intensity of sweet, typical fresh flavour and texture perception

phytophthora cinnamomi involved in the decline of holm oak quercus ilex stands in southern italy

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Renin-Angiotensin-Aldosterone System Inhibitors and Risk of Death in Patients Hospitalised with COVID-19: A Retrospective Italian Cohort Study of 43,000 Patients

Introduction The epidemic due to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection has been spreading globally, raising increasing concerns. There are several controversial hypotheses on the potentially harmful or beneficial effects of antihypertensive drugs acting on the renin-angiotensin-aldosterone system (RAAS) in coronavirus disease 2019 (COVID-19). Furthermore, there is accumulating evidence, based on several observational studies, that angiotensin-converting enzyme inhibitors (ACEIs) and angiotensin receptor blockers (ARBs) do not increase the risk of contracting SARS-CoV-2 infection. On the other hand, conflicting findings regarding the role of ACEIs/ARBs as prognosis modifiers in COVID-19 hospitalised patients have been reported. Objective The aim of this large-scale, retrospective cohort study was to investigate whether prior exposure to ACEIs and/or ARBs was associated with all-cause mortality among over 40,000 hospitalised COVID-19 patients compared with calcium channel blockers (CCBs), a potential therapeutic alternative. Methods This study was conducted using COVID-19 registries linked to claims databases from Lombardy, Veneto and Reggio Emilia (overall, 25% of Italian population). Overall, 42,926 patients hospitalised between 21 February and 21 April 2020 with a diagnosis of COVID-19 confirmed by real-time polymerase chain reaction tests were included in this study. All-cause mortality occurring in or out of hospital, as reported in the COVID-19 registry, was estimated. Using Cox models, adjusted hazard ratios (HRs) of all-cause mortality (along with 95% confidence intervals [CIs]) were estimated separately for ACEIs/ARBs and other antihypertensives versus CCBs and non-use. Results Overall, 11,205 in- and out-of-hospital deaths occurred over a median of 24 days of follow-up after hospital admission due to COVID-19. Compared with CCBs, adjusted analyses showed no difference in the risk of death among ACEI (HR 0.97, 95% CI 0.89-1.06) or ARB (HR 0.98, 95% CI 0.89-1.06) users. When non-use of antihypertensives was considered as a comparator, a modest statistically significant increase in mortality risk was observed for any antihypertensive use. However, when restricting to drugs with antihypertensive indications only, these marginal increases disappeared. Sensitivity and subgroup analyses confirmed our main findings. Conclusions ACEI/ARB use is not associated with either an increased or decreased risk of all-cause mortality, compared with CCB use, in the largest cohort of hospitalised COVID-19 patients exposed to these drugs studied to date. The use of these drugs therefore does not affect the prognosis of COVID-19. This finding strengthens recommendations of international regulatory agencies about not withdrawing/switching ACEI/ARB treatments to modify COVID-19 prognosis

An Explainable AI System for Automated COVID-19 Assessment and Lesion Categorization from CT-scans

COVID-19 infection caused by SARS-CoV-2 pathogen is a catastrophic pandemic outbreak all over the world with exponential increasing of confirmed cases and, unfortunately, deaths. In this work we propose an AI-powered pipeline, based on the deep-learning paradigm, for automated COVID-19 detection and lesion categorization from CT scans. We first propose a new segmentation module aimed at identifying automatically lung parenchyma and lobes. Next, we combined such segmentation network with classification networks for COVID-19 identification and lesion categorization. We compare the obtained classification results with those obtained by three expert radiologists on a dataset consisting of 162 CT scans. Results showed a sensitivity of 90\% and a specificity of 93.5% for COVID-19 detection, outperforming those yielded by the expert radiologists, and an average lesion categorization accuracy of over 84%. Results also show that a significant role is played by prior lung and lobe segmentation that allowed us to enhance performance by over 20 percent points. The interpretation of the trained AI models, moreover, reveals that the most significant areas for supporting the decision on COVID-19 identification are consistent with the lesions clinically associated to the virus, i.e., crazy paving, consolidation and ground glass. This means that the artificial models are able to discriminate a positive patient from a negative one (both controls and patients with interstitial pneumonia tested negative to COVID) by evaluating the presence of those lesions into CT scans. Finally, the AI models are integrated into a user-friendly GUI to support AI explainability for radiologists, which is publicly available at http://perceivelab.com/covid-ai

Comparing the use of ERA5 reanalysis dataset and ground-based agrometeorological data under different climates and topography in Italy

Study region: The study region is represented by seven irrigation districts distributed under different climate and topography conditions in Italy. Study focus: This study explores the reliability and consistency of the global ERA5 single levels and ERA5-Land reanalysis datasets in predicting the main agrometeorological estimates commonly used for crop water requirements calculation. In particular, the reanalysis data was compared, variable-by-variable (e.g., solar radiation, R-s; air temperature, T-air; relative humidity, RH; wind speed, u(10); reference evapotranspiration, ET0), with in situ agrometeorological obser-vations obtained from 66 automatic weather stations (2008-2020). In addition, the presence of a climate-dependency on their accuracy was assessed at the different irrigation districts. New hydrological insights for the region: A general good agreement was obtained between observed and reanalysis agrometeorological variables at both daily and seasonal scales. The best perfor-mance was obtained for T-air, followed by RH, R-s, and u(10) for both reanalysis datasets, especially under temperate climate conditions. These performances were translated into slightly higher accuracy of ET0 estimates by ERA5-Land product, confirming the potential of using reanalysis datasets as an alternative data source for retrieving the ET0 and overcoming the unavailability of observed agrometeorological data