A5082492114- Medical Imaging and Pathology Studies
- Ultrasound in Clinical Applications
- Respiratory Support and Mechanisms
- Prostate Cancer Diagnosis and Treatment
- Prostate Cancer Treatment and Research
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
- Lung Cancer Diagnosis and Treatment
- Atomic and Subatomic Physics Research
- Urologic and reproductive health conditions
- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
- Bone Tumor Diagnosis and Treatments
- Sarcoma Diagnosis and Treatment
- Tracheal and airway disorders
- Pleural and Pulmonary Diseases
- Pediatric Urology and Nephrology Studies
- Pancreatic and Hepatic Oncology Research
- COVID-19 Clinical Research Studies
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Bladder and Urothelial Cancer Treatments
- Pneumothorax, Barotrauma, Emphysema
- Radiation Dose and Imaging
- COVID-19 and healthcare impacts
- Infectious Disease Case Reports and Treatments
- Kidney Stones and Urolithiasis Treatments
Azienda USL di Bologna
2020-2023
Istituti di Ricovero e Cura a Carattere Scientifico
2022
University of Bologna
2012-2020
Policlinico S.Orsola-Malpighi
2011-2016
Ospedale Sant'Orsola di Brescia
2011
A large proportion of patients with coronavirus disease 2019 (COVID-19) develop severe respiratory failure requiring admission to the intensive care unit (ICU) and about 80% them need mechanical ventilation (MV). These show great complexity due multiple organ involvement a dynamic evolution over time; moreover, few information is available risk factors that may contribute increase time course ventilation.The primary objective this study investigate associated inability liberate COVID-19 from...
Current data have shown that lung ultrasound (LUS) may be useful in the detection of interstitial disease (ILD) by evaluation B-lines, sonographic marker pulmonary syndrome. Nevertheless, no prospective study has compared LUS to chest X-ray (CXR) for ILD assessment, and there is general agreement on specific echographic diagnostic criteria defining ILD.The aims this were (1) compare accuracy CXR using high-resolution CT (HRCT) as gold standard (2) different diagnosis.LUS was performed 104...
Purpose To evaluate the diagnostic accuracy of four standardized categories for CT reporting proposed by Radiological Society North America (RSNA) to support a faster triage compared with real-time reverse-transcription polymerase chain reaction (RT-PCR), which is reference standard suspected coronavirus disease 2019 (COVID-19), but has long time (6–48 hours). Materials and Methods A retrospective analysis 569 thin-section examinations performed patients having COVID-19 from February 27...
Background: Bacterial and fungal co-infections superinfections have a critical role in the outcome of COVID-19 patients admitted to Intensive Care Unit (ICU). Methods: The present study is retrospective analysis 95 ICU for COVID-19-related ARDS during first (February−May 2020) second waves pandemic (October 2020−January 2021). Demographic clinical data, CT imaging features, pulmonary extra-pulmonary complications were recorded, as well temporal evolution findings when more than one scan was...
Age-associated changes in the pulmonary system could be detected with imaging techniques. Widespread use of lung ultrasonography (US) requires characterization a normal pattern.To compare US and computed tomography (CT) findings healthy subjects undergoing both techniques (with CT as gold standard).We prospectively selected 59 chest on same day, without history smoking, respiratory symptoms, or known pathologies. There were 44 patients group 1 (age ≥60 years - elderly) 15 2 ≤50 young). Lung...
Background: We investigated the diagnostic accuracy of new Prostate Imaging for Recurrence Reporting (PI-RR) score and its inter-observer variability. Secondly, we compared detection rate PI-RR PET analyzed correlation between Specific Antigen (PSA) levels score. Methods: included in analysis 134 patients submitted to multiparametric magnetic resonance imaging suspected local recurrence. The images were independently reviewed by two radiologists, assigning a value from 1 5 Inter-observer...
The senile lung undergoes physiologic changes that are well known but have not been investigated with ultrasound (US). Thus, the aim of our study was to compare US appearances lungs in a group healthy, nonsmoker elderly subjects those young subjects.One hundred older than 65 years age (mean ± SD, 79 7 years) and 50 younger less 56 33 12) underwent examination lungs. We analyzed anterior, midlateral, posterobasal surface each evaluate presence or absence A-lines B-lines. Fisher's exact test...
Abstract Purpose CT findings of hospitalized COVID-19 patients were analyzed during both the first and second waves pandemic, in order to detect any significant differences between two groups. Methods In this observational, retrospective, monocentric study, all who underwent for suspected pneumonia from February 27 March 27, 2020 (first wave) October 26 November 24, (second enrolled. Epidemiological data, radiological pattern according RSNA consensus statement visual score extension using a...
The widespread use of ultrasonography has led to an increased number incidentally detected small non-palpable lesions, with Leydig cell tumours representing the majority them.The ultrasonography, real-time elastography and contrast-enhanced features a large series testicular lesions were evaluated, focusing on differences between other masses.Of 4679 examinations performed at Authors' Institution January 2009 December 2018, 78 patients (1.7%) diagnosed least one lesion enrolled. Thirteen...
(1) Background: Chest Computed Tomography (CT) has been proposed as a non-invasive method for confirming the diagnosis of SARS-CoV-2 patients using radiomic features (RFs) and baseline clinical data. The performance Machine Learning (ML) methods RFs derived from semi-automatically segmented lungs in chest CT images was investigated regarding ability to predict mortality patients. (2) Methods: A total 179 extracted 436 patients, 8 6 radiological variables, were used train evaluate three ML...