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  1. Article ; Online: Vaccination and Reduced Severity of COVID-19 Pneumonia Viewed at Chest Radiography.

    Borghesi, Andrea / Maroldi, Roberto

    Radiology

    2022  Volume 304, Issue 3, Page(s) E47

    MeSH term(s) COVID-19 ; Humans ; Lung ; Pneumonia/diagnostic imaging ; Radiography ; Radiography, Thoracic ; Retrospective Studies ; SARS-CoV-2 ; Vaccination
    Language English
    Publishing date 2022-06-07
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 80324-8
    ISSN 1527-1315 ; 0033-8419
    ISSN (online) 1527-1315
    ISSN 0033-8419
    DOI 10.1148/radiol.220309
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  2. Article ; Online: Septostomy and Monroplasty in Isolated Lateral Ventricle After Removal of a Third Ventricle Colloid Cyst: 2-Dimensional Operative Video.

    Tengattini, Francesco / Messina, Andrea / Fontanella, Marco Maria / Borghesi, Ignazio / Calbucci, Fabio / Draghi, Riccardo

    World neurosurgery

    2024  Volume 184, Page(s) 125

    Abstract: Isolated unilateral hydrocephalus (IUH) is a condition caused by unilateral obstruction of the foramen of Monro. ...

    Abstract Isolated unilateral hydrocephalus (IUH) is a condition caused by unilateral obstruction of the foramen of Monro.
    MeSH term(s) Humans ; Lateral Ventricles ; Third Ventricle/surgery ; Colloid Cysts/diagnostic imaging ; Colloid Cysts/surgery ; Colloid Cysts/complications ; Cerebral Ventricles/surgery ; Hydrocephalus/diagnostic imaging ; Hydrocephalus/etiology ; Hydrocephalus/surgery ; Neuroendoscopy/methods
    Language English
    Publishing date 2024-01-13
    Publishing country United States
    Document type Video-Audio Media
    ZDB-ID 2534351-8
    ISSN 1878-8769 ; 1878-8750
    ISSN (online) 1878-8769
    ISSN 1878-8750
    DOI 10.1016/j.wneu.2024.01.046
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: COVID-19 outbreak in Italy: experimental chest X-ray scoring system for quantifying and monitoring disease progression.

    Borghesi, Andrea / Maroldi, Roberto

    La Radiologia medica

    2020  Volume 125, Issue 5, Page(s) 509–513

    Abstract: Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) is a new virus recently isolated from humans. SARS-CoV-2 was discovered to be the pathogen responsible for a cluster of pneumonia cases associated with severe respiratory disease that occurred ... ...

    Abstract Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) is a new virus recently isolated from humans. SARS-CoV-2 was discovered to be the pathogen responsible for a cluster of pneumonia cases associated with severe respiratory disease that occurred in December 2019 in China. This novel pulmonary infection, formally called Coronavirus Disease 2019 (COVID-19), has spread rapidly in China and beyond. On 8 March 2020, the number of Italians with SARS-CoV-2 infection was 7375 with a 48% hospitalization rate. At present, chest-computed tomography imaging is considered the most effective method for the detection of lung abnormalities in early-stage disease and quantitative assessment of severity and progression of COVID-19 pneumonia. Although chest X-ray (CXR) is considered not sensitive for the detection of pulmonary involvement in the early stage of the disease, we believe that, in the current emergency setting, CXR can be a useful diagnostic tool for monitoring the rapid progression of lung abnormalities in infected patients, particularly in intensive care units. In this short communication, we present our experimental CXR scoring system that we are applying to hospitalized patients with COVID-19 pneumonia to quantify and monitor the severity and progression of this new infectious disease. We also present the results of our preliminary validation study on a sample of 100 hospitalized patients with SARS-CoV-2 infection for whom the final outcome (recovery or death) was available.
    MeSH term(s) Aged ; Betacoronavirus ; COVID-19 ; Coronavirus Infections/diagnostic imaging ; Coronavirus Infections/epidemiology ; Disease Outbreaks ; Disease Progression ; Humans ; Italy/epidemiology ; Male ; Pandemics ; Pneumonia, Viral/diagnostic imaging ; Pneumonia, Viral/epidemiology ; Radiography, Thoracic ; SARS-CoV-2
    Keywords covid19
    Language English
    Publishing date 2020-05-01
    Publishing country Italy
    Document type Journal Article
    ZDB-ID 205751-7
    ISSN 1826-6983 ; 0033-8362
    ISSN (online) 1826-6983
    ISSN 0033-8362
    DOI 10.1007/s11547-020-01200-3
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  4. Article ; Online: CT and MR anatomy of the larynx and hypopharynx.

    Ravanelli, Marco / Rondi, Paolo / Ferrari, Marco / Lancini, Davide / Buffoli, Barbara / Borghesi, Andrea / Maroldi, Roberto / Farina, Davide

    Neuroradiology

    2024  

    Abstract: Imaging of the larynx and hypopharynx is frequently requested to assess the extent of neoplasms beyond the field of view of endoscopic evaluation. The combination of optical and cross-sectional imaging allows tumors to be classified according to AJCC/ ... ...

    Abstract Imaging of the larynx and hypopharynx is frequently requested to assess the extent of neoplasms beyond the field of view of endoscopic evaluation. The combination of optical and cross-sectional imaging allows tumors to be classified according to AJCC/UICC guidelines. A thorough understanding of laryngeal and hypopharyngeal anatomy is crucial to guide the radiological eye along the possible pathways of the spread of diseases and to guide differential diagnoses. Computed tomography (CT) has been the first cross-sectional imaging technique used to evaluate the larynx and hypopharynx; its spatial resolution combined with volumetric capability and the use of injectable contrast medium made CT the working horse in the assessment of neoplastic and inflammatory diseases. In the last two decades, magnetic resonance (MR) supported CT in the most challenging cases, when the optimal contrast resolution due to the multisequence portfolio is needed to assess the neoplastic involvement of laryngeal cartilages, paraglottic space(s), and extra laryngeal spread. The aim of this paper is to give a comprehensive radiological overview of larynx and hypopharynx complex anatomy, combining in vivo images, anatomical sections, and images of ex vivo specimens.
    Language English
    Publishing date 2024-02-28
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 123305-1
    ISSN 1432-1920 ; 0028-3940
    ISSN (online) 1432-1920
    ISSN 0028-3940
    DOI 10.1007/s00234-024-03320-3
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  5. Article ; Online: Software-based quantitative CT analysis to predict the growth trend of persistent nonsolid pulmonary nodules: a retrospective study.

    Borghesi, Andrea / Coviello, Felice Leopoldo / Scrimieri, Alessandra / Ciolli, Pietro / Ravanelli, Marco / Farina, Davide

    La Radiologia medica

    2023  Volume 128, Issue 6, Page(s) 734–743

    Abstract: Purpose: Persistent nonsolid nodules (NSNs) usually exhibit an indolent course and may remain stable for several years; however, some NSNs grow quickly and require surgical excision. Therefore, identifying quantitative features capable of early ... ...

    Abstract Purpose: Persistent nonsolid nodules (NSNs) usually exhibit an indolent course and may remain stable for several years; however, some NSNs grow quickly and require surgical excision. Therefore, identifying quantitative features capable of early discrimination between growing and nongrowing NSNs is becoming a crucial aspect of radiological analysis. The main purpose of this study was to evaluate the performance of an open-source software (ImageJ) to predict the future growth of NSNs detected in a Caucasian (Italian) population.
    Material and methods: We retrospectively selected 60 NSNs with an axial diameter of 6-30 mm scanned with the same acquisition-reconstruction parameters and the same computed tomography (CT) scanner. Software-based analysis was performed on thin-section CT images using ImageJ. For each NSNs, several quantitative features were extracted from the baseline CT images. The relationships of NSN growth with quantitative CT features and other categorical variables were analyzed using univariate and multivariable logistic regression analyses.
    Results: In multivariable analysis, only the skewness and linear mass density (LMD) were significantly associated with NSN growth, and the skewness was the strongest predictor of growth. In receiver operating characteristic curve analyses, the optimal cutoff values of skewness and LMD were 0.90 and 19.16 mg/mm, respectively. The two predictive models that included the skewness, with or without LMD, exhibited an excellent power for predicting NSN growth.
    Conclusion: According to our results, NSNs with a skewness value > 0.90, specifically those with a LMD > 19.16 mg/mm, should require closer follow-up due to their higher growth potential, and higher risk of becoming an active cancer.
    MeSH term(s) Humans ; Retrospective Studies ; Lung Neoplasms/diagnostic imaging ; Lung Neoplasms/surgery ; Multiple Pulmonary Nodules/diagnostic imaging ; Tomography, X-Ray Computed/methods ; Software ; Solitary Pulmonary Nodule/diagnostic imaging
    Language English
    Publishing date 2023-05-25
    Publishing country Italy
    Document type Journal Article
    ZDB-ID 205751-7
    ISSN 1826-6983 ; 0033-8362
    ISSN (online) 1826-6983
    ISSN 0033-8362
    DOI 10.1007/s11547-023-01648-z
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  6. Article ; Online: With or without U(K): A pre-Brexit network analysis of the EU ETS.

    Borghesi, Simone / Flori, Andrea

    PloS one

    2019  Volume 14, Issue 9, Page(s) e0221587

    Abstract: The European Emission Trading System (EU ETS) is commonly regarded as the key pillar of the European climate policy and as the main unifying tool to create a unique carbon price all over Europe. The UK has always played a crucial role in the EU ETS, ... ...

    Abstract The European Emission Trading System (EU ETS) is commonly regarded as the key pillar of the European climate policy and as the main unifying tool to create a unique carbon price all over Europe. The UK has always played a crucial role in the EU ETS, being one of the most active national registry and a crucial hub for the exchange of allowances in the market. Brexit, therefore, could deeply modify the number and directions of such exchanges as well as the centrality of the other countries in this system. To investigate these issues, the present paper exploits network analysis tools to compare the structure of the EU ETS market in its first two phases with and without the UK, investigating a few different scenarios that might emerge from a possible reallocation of the transactions that have involved UK partners. We find that without the UK the EU ETS network would become in general much more homogeneous, though results may change focusing on the type of accounts involved in the transactions.
    MeSH term(s) European Union/economics ; Greenhouse Effect/economics ; Public Policy ; United Kingdom
    Language English
    Publishing date 2019-09-09
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ISSN 1932-6203
    ISSN (online) 1932-6203
    DOI 10.1371/journal.pone.0221587
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  7. Article ; Online: COVID-19 outbreak in Italy

    Borghesi, Andrea / Maroldi, Roberto

    La radiologia medica

    experimental chest X-ray scoring system for quantifying and monitoring disease progression

    2020  Volume 125, Issue 5, Page(s) 509–513

    Keywords Radiology Nuclear Medicine and imaging ; General Medicine ; covid19
    Language English
    Publisher Springer Science and Business Media LLC
    Publishing country us
    Document type Article ; Online
    ZDB-ID 205751-7
    ISSN 1826-6983 ; 0033-8362
    ISSN (online) 1826-6983
    ISSN 0033-8362
    DOI 10.1007/s11547-020-01200-3
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  8. Article: The matrix optimum filter for low temperature detectors dead-time reduction.

    Borghesi, Matteo / Faverzani, Marco / Ferrari, Cecilia / Ferri, Elena / Giachero, Andrea / Nucciotti, Angelo / Origo, Luca

    The European physical journal. C, Particles and fields

    2022  Volume 82, Issue 5, Page(s) 421

    Abstract: Experiments aiming at high sensitivities usually demand for a very high statistics in order to reach more precise measurements. However, for those exploiting Low Temperature Detectors (LTDs), a high source activity may represent a drawback, if the events ...

    Abstract Experiments aiming at high sensitivities usually demand for a very high statistics in order to reach more precise measurements. However, for those exploiting Low Temperature Detectors (LTDs), a high source activity may represent a drawback, if the events rate becomes comparable with the detector characteristic temporal response. Indeed, since commonly used optimum filtering approaches can only process LTDs signals well isolated in time, a non-negligible part of the recorded experimental data-set is discarded and hence constitute the
    Language English
    Publishing date 2022-05-10
    Publishing country France
    Document type Journal Article
    ZDB-ID 1459069-4
    ISSN 1434-6052 ; 1434-6044
    ISSN (online) 1434-6052
    ISSN 1434-6044
    DOI 10.1140/epjc/s10052-022-10379-w
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  9. Book ; Online: RUAD

    Molan, Martin / Borghesi, Andrea / Cesarini, Daniele / Benini, Luca / Bartolini, Andrea

    unsupervised anomaly detection in HPC systems

    2022  

    Abstract: The increasing complexity of modern high-performance computing (HPC) systems necessitates the introduction of automated and data-driven methodologies to support system administrators' effort toward increasing the system's availability. Anomaly detection ... ...

    Abstract The increasing complexity of modern high-performance computing (HPC) systems necessitates the introduction of automated and data-driven methodologies to support system administrators' effort toward increasing the system's availability. Anomaly detection is an integral part of improving the availability as it eases the system administrator's burden and reduces the time between an anomaly and its resolution. However, current state-of-the-art (SoA) approaches to anomaly detection are supervised and semi-supervised, so they require a human-labelled dataset with anomalies - this is often impractical to collect in production HPC systems. Unsupervised anomaly detection approaches based on clustering, aimed at alleviating the need for accurate anomaly data, have so far shown poor performance. In this work, we overcome these limitations by proposing RUAD, a novel Recurrent Unsupervised Anomaly Detection model. RUAD achieves better results than the current semi-supervised and unsupervised SoA approaches. This is achieved by considering temporal dependencies in the data and including long-short term memory cells in the model architecture. The proposed approach is assessed on a complete ten-month history of a Tier-0 system (Marconi100 from CINECA with 980 nodes). RUAD achieves an area under the curve (AUC) of 0.763 in semi-supervised training and an AUC of 0.767 in unsupervised training, which improves upon the SoA approach that achieves an AUC of 0.747 in semi-supervised training and an AUC of 0.734 in unsupervised training. It also vastly outperforms the current SoA unsupervised anomaly detection approach based on clustering, achieving the AUC of 0.548.
    Keywords Computer Science - Machine Learning ; Computer Science - Artificial Intelligence ; 68T07 (Primary) 68U01 ; 68T01 (Secondary) ; I.2 ; I.2.6
    Subject code 006
    Publishing date 2022-08-28
    Publishing country us
    Document type Book ; Online
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  10. Article ; Online: "Standing Up for Earth Rights": Awe-Inspiring Virtual Nature for Promoting Pro-Environmental Behaviors.

    Chirico, Alice / Pizzolante, Marta / Borghesi, Francesca / Bartolotta, Sabrina / Sarcinella, Eleonora D / Cipresso, Pietro / Gaggioli, Andrea

    Cyberpsychology, behavior and social networking

    2023  Volume 26, Issue 4, Page(s) 300–308

    Abstract: Virtual nature exposure has emerged as an effective method for promoting pro-environmental attitudes and behaviors, also due to the increased emotional connection with nature itself. However, the role played by complex emotions elicited by virtual nature, ...

    Abstract Virtual nature exposure has emerged as an effective method for promoting pro-environmental attitudes and behaviors, also due to the increased emotional connection with nature itself. However, the role played by complex emotions elicited by virtual nature, such as awe, needs to be fully elucidated. Awe is an emotion stemming from vast stimuli, including nature, and virtual reality (VR) emerged as an effective medium to elicit it. One hundred nineteen participants were exposed to either one of four VR environments: (a) an
    MeSH term(s) Humans ; Emotions ; Virtual Reality ; Friends
    Language English
    Publishing date 2023-04-04
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2545735-4
    ISSN 2152-2723 ; 2152-2715
    ISSN (online) 2152-2723
    ISSN 2152-2715
    DOI 10.1089/cyber.2022.0260
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