Abstract Funding Acknowledgements Type of funding sources: None. Background Postoperative atrial fibrillation (POAF) is a common complication of cardiac surgery (CS) associated with prolonged hospitalization and increased risk of future adverse events. Epicardial adipose tissue (EAT), defined as adipose tissue between the myocardium and the visceral pericardium, has been recently recognized as a potential contributor to AF pathogenesis. Purpose to evaluate the role of EAT, measured by preoperative CT, in predicting the occurrence of POAF after CS. Methods All patients without prior AT/AF history who underwent CS at our centre were prospectively enrolled and retrospectively analyzed. All the included patients had performed a cardiac CT for the evaluation of the pre-operative coronary arteries. Baseline and surgical characteristics were systematically collected along with pre-operative echocardiographic parameters (LA diameter and area; EF) and CT EAT values. For the evaluation of the EAT we selected the area delimited superiorly from the center of the right pulmonary artery and inferiorly to the end of the pericardial sac. The adipose tissue between the myocardium and the pericardium was manually delimited and the total EAT volume was expressed in mL (total EATV; Fig. 1). Also the thickness (mm) of the EAT at the level of the free wall of the right ventricle (RV EAT) and posterior to the left atrium in a 4-chamber plane (LA EAT) were reported. All the measured EAT were indexed for BSA. Multivariate logistic regression analysis was used to identify independent predictors of the study endpoint: the occurrence POAF during the early postoperative period. Results A total of 117 patients (age 65±15 years old; M= 71%) were enrolled. Soon after surgery, POAF was observed in 55 patients (47%). Patients with POAF were significantly older, with higher comorbidities burden (diabetes; CHA2DS2-VASc score ≥1) than patients without POAF. No other significant differences for clinical features or surgical procedures were observed. Echocardiographic and CT parameters did not significantly differ between the two groups however older patients who developed POAF had elevated levels of indexed total EATV (96.1±46.6 cm3/m2) (Fig.2). At multivariate logistic regression analysis the only indipendent predictor of POAF remained age (OR: 1.053; 95% CI: 1.018-1.089; p=0.003). Conclusions Advanced age is a recognized risk factor for POAF following CS in patients without prior AF history. Older patients who developed POAF had elevated EAT values, however our study did not evidence any link between EAT and POAF. Fig.1 CT EAT Fig. 2 EAT by age and POAF

Liver imaging encompasses a broad spectrum of diseases in different clinical backgrounds. The available literature is vast and reported data often lacks standardization. Because of all these issues, the differential diagnosis and the characterization of liver lesions can be challenging for the beginner. The aim of this narrative review is to provide the basics for an algorithm approach to liver lesions on cross-sectional imaging. First, some tips for the optimization of Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) protocols will be provided. Liver Imaging Reporting and Data System (LI-RADS, version 2018) working group is proposing the adoption of their standardized lexicon beyond the original target population of LI-RADS (i.e., liver cirrhosis). Thus, the main imaging findings will be defined following the LI-RADS lexicon. Since the contrast study is the most important for lesion characterization, this narrative review separates the lesions into avascular, hypovascular, and hypervascular, with a focus on chronic liver disease (CLD) and hepatocellular carcinoma (HCC).

BACKGROUND:Branch duct-intraductal papillary mucinous neoplasms (BD-IPMNs) are the most common pancreatic cystic tumours and have a low risk of malignant transformation. Current guidelines only evaluate cyst diameter as an important risk factor but it is not always easy to measure, especially when comparing different methods. On the other side, cyst volume is a new parameter with low inter-observer variability and is highly reproducible over time.AIM:To assess both diameter and volume growth rate of BD-IPMNs and evaluate their correlation with the development of malignant characteristics.METHODS:Computed tomography scans and magnetic resonance imaging exams were retrospectively reviewed. The diameter was measured on three planes, while the volume was calculated by segmentation: The volume of the entire cyst was determined by manually drawing a region of interest along the edge of the neoplasm on each consecutive slice covering the whole lesion; therefore, a three-dimensional volume of interest was finally obtained with the calculated value expressed in cm3. Changes in size over time were measured. The development of worrisome features was evaluated.RESULTS:We evaluated exams of 98 patients across a 40.5-mo median follow-up time. Ten patients developed worrisome features. Cysts at baseline were significantly larger in patients who developed worrisome features (diameters P = 0.0035, P = 0.00652, P = 0.00424; volume P = 0.00222). Volume growth rate was significantly higher in patients who developed worrisome features (1.12 cm3/year vs 0 cm3/year, P = 0.0001); diameter growth rate was higher as well, but the difference did not always reach statistical significance. Volume but not diameter growth rate in the first year of follow-up was higher in patients who developed worrisome features (0.46 cm3/year vs 0 cm3/year, P = 0.00634).CONCLUSION:The measurement of baseline volume and its variation over time is a reliable tool for the follow-up of BD-IPMNs. Volume measurement could be a better tool than diameter measurement to predict the development of worrisome features.

Radiologists play a key role in the management of trauma patients. With the improvement of computed tomography (CT), radiologist makes an important contribution to the timely diagnosis of trauma-related findings and the choice of the most suitable treatment, improving patient outcomes. It is important to select the most appropriate imaging technique, which in the trauma patient is CT, and especially the most appropriate CT protocol, to correctly characterize trauma injuries. Currently, there is no agreement on what the optimal protocol is, acquisition times and number of contrast enhanced phases are not standardized. This is a review of the most recent literature on optimizing the CT protocol in polytrauma, with the intent of giving a useful tool for radiologists in the management of trauma patients.

Many technological advances have entered the clinical routine of Computed Tomography (CT) imaging. The new CT scanners have specific solutions in gantry design to bear the mechanical solicitations. The X-ray tubes have been improved for faster acquisitions at low radiation exposure, while the innovations in CT detectors provide a better image quality. The optimization of image quality and contrast, and the reduction of radiation dose, cannot be achieved without the implementation of adequate reconstruction software, such as Iterative Reconstructions (IR) and Artificial Intelligence (AI). In recent years, dual-energy (DECT) technology has expanded the indications of CT. In this narrative review, a panoramic overview of the technological novelties in CT imaging will be provided for optimal utilization of CT technology.

Patients presenting to the emergency with thoracic symptoms could have a wide variety of causes, even if the traumatic and vascular causes are excluded. Therefore, the diagnosis is often a challenge for emergency physicians. Anamnesis, physical examination and laboratory testing need to be integrated with imaging to get a rapid diagnosis and to distinguish among the potential causes. This review discusses the role of diagnostic imaging studies in the emergency setting in patients with non-traumatic non-cardiovascular thoracic symptoms. The use of chest x-ray, bedside lung Ultrasound and Computed Tomography in the diagnosis and care of these patients have been reviewed as well as the common findings on imaging.

OBJECTIVE:The purpose of this review is to present the latest innovations and current topics in musculoskeletal diagnosis and interventional imaging, with a focus on degenerative and inflammatory diseases.MATERIALS AND METHODS:In this study, the search was conducted through the online databases PubMed and Google Scholar, including articles published in English in the past 15 years, in order to find existing studies, clinical cases, and reviews on the latest innovations and current topics in degenerative and inflammatory musculoskeletal pathologies.RESULTS:Imaging plays a pivotal role in the diagnosis and treatment of MSK degenerative and inflammatory disease. In the last few years continuous innovations and technological advances have allowed new clinical applications in the management of MSK disorder. Advanced magnetic resonance techniques, the introduction of fusion imaging techniques and new approaches to infiltrative medicine are revolutionizing the clinical and therapeutic approach to degenerative and inflammatory pathologies. Artificial intelligence also increasingly seeks to be applied in all fields of medicine and radiology with increasingly promising results.CONCLUSIONS:Imaging modalities undergo continuous innovations and revolutions due to technological advances, with direct repercussions on clinical applications and new therapeutic potential through interventional radiology techniques. In recent years, there have been particular innovations in the context of musculoskeletal imaging of degenerative and inflammatory diseases, both for diagnosis and intervention.

The increase in oncology knowledge and the possibility of creating personalized medicine by selecting a more suitable therapy related to tumor subtypes, as well as the patient's management with cancer within a multidisciplinary team has improved the clinical outcomes. Early detection of cancer through screening-based imaging is probably the major contributor to a reduction in mortality for certain cancers. Nowadays, imaging can also characterize several lesions and predict their histopathological features and can predict tumor behaviour and prognosis. CT is the main diagnostic tool in oncologic imaging and is widely used for the tumors detection, staging, and follow-up. Moreover, since CT accounts for 49-66% of overall patient radiation exposure, the constant reduction, optimization, dose inter- and intraindividual consistency are major goals in radiological field. In the recent years, numerous dose reduction techniques have been established and created voltage modulation keeping a satisfactory image quality. The introduction of CT dual-layer detector technology enabled the acquisition of spectral data without additional CT x-ray tube or additional acquisitions. In addition, since MRI does not expose the body to radiation, it has become a mainstay of non-invasive diagnostic radiology modality since the 1980s.

Magnetic resonance imaging (MRI) is a non-invasive imaging technique (non-ionizing radiation) with superior soft tissue contrasts and potential morphological and functional applications. However, long examination and interpretation times, as well as higher costs, still represent barriers to MRI use in clinical routine. Abbreviated MRI protocols have emerged as an alternative to standard MRI protocols. Abbreviated MRI protocols eliminate redundant sequences that negatively affect cost, acquisition time, patient comfort. However, the diagnostic information is generally not compromised. Abbreviated MRI protocols have already been utilized for hepatocellular carcinoma, for prostate cancer detection, and for nonalcoholic fatty liver disease screening.

Objectives The need of a standardized reporting scheme and language, in imaging of COVID-19 pneumonia, has been welcomed by major scientific societies. The aim of the study was to build the reporting scheme of chest CT in COVID-19 pneumonia. Methods A team of experts, of the Italian Society of Medical and Interventional Radiology (SIRM), has been recruited to compose a consensus panel. They used a modified Delphi process to build a reporting scheme and expressed a level of agreement for each section of the report. To measure the internal consistency of the panelist ratings for each section of the report, a quality analysis based on the average inter-item correlation was performed with Cronbach’s alpha (Cα) correlation coefficient. Results The overall mean score of the experts and the sum of score were 3.1 (std.dev. ± 0.11) and 122 in the second round, and improved to 3.75 (std.dev. ± 0.40) and 154 in the third round. The Cronbach’s alpha (Cα) correlation coefficient was 0.741 (acceptable) in the second round and improved to 0.789 in the third round. The final report was built in the management of radiology report template (MRRT) and includes n = 4 items in the procedure information, n = 5 items in the clinical information, n = 16 in the findings, and n = 3 in the impression, with overall 28 items. Conclusions The proposed structured report could be of help both for expert radiologists and for the less experienced who are faced with the management of these patients. The structured report is conceived as a guideline, to recommend the key items/findings of chest CT in COVID-19 pneumonia.

The purpose of thermal ablation is induction of tumor death by means of localized hyperthermia resulting in irreversible cellular damage. Ablative therapies are well-recognized treatment modalities for HCC lesions and are considered standard of care for HCC nodules < 3 cm in diameter in patients not suitable for surgery. Effective lesion treatment rely on complete target volume ablation. Technical limitations are represented by large (> 3 cm) or multicentric nodules as well as complex nodule location and poor lesion conspicuity. Artificial Intelligence (AI) is a general term referred to computational algorithms that can analyze data and perform complex tasks otherwise prerogative of Human Intelligence. AI has a variety of application in percutaneous ablation procedures such as Navigational software, Fusion Imaging, and robot-assisted ablation tools. Those instruments represent relative innovations in the field of Interventional Oncology and promising strategies to overcome actual limitations of ablative therapy in order to increase feasibility and technical results. This work aims to review the principal application of Artificial Intelligence in the percutaneous ablation of primary lesions of the liver with special focus on how AI can impact in the treatment of HCC especially on potential advantages on the drawbacks of the conventional technique.