Small renal masses (SRM) are increasingly detected incidentally during imaging. They vary widely in histology and aggressiveness, and include benign renal tumors and renal cell carcinomas that can be either indolent or aggressive. Imaging plays a key role in the characterization of these small renal masses. While a confident diagnosis can be made in many cases, some renal masses are indeterminate at imaging and can present as diagnostic dilemmas for both the radiologists and the referring clinicians. This review focuses on CT characterization of small renal masses, perhaps helping us understand small renal masses. The following aspects were considered for the review: (a) assessing the presence of fat, (b) assessing the enhancement, (c) differentiating renal tumor subtype, and (d) identifying valuable CT signs.

Purpose: Lung cancer screening (LCS) by low-dose computed tomography (LDCT) demonstrated a 20–40% reduction in lung cancer mortality. National stakeholders and international scientific societies are increasingly endorsing LCS programs, but translating their benefits into practice is rather challenging. The “Model for Optimized Implementation of Early Lung Cancer Detection: Prospective Evaluation Of Preventive Lung HEalth” (PEOPLHE) is an Italian multicentric LCS program aiming at testing LCS feasibility and implementation within the national healthcare system. PEOPLHE is intended to assess (i) strategies to optimize LCS workflow, (ii) radiological quality assurance, and (iii) the need for dedicated resources, including smoking cessation facilities. Methods: PEOPLHE aims to recruit 1.500 high-risk individuals across three tertiary general hospitals in three different Italian regions that provide comprehensive services to large populations to explore geographic, demographic, and socioeconomic diversities. Screening by LDCT will target current or former (quitting < 10 years) smokers (> 15 cigarettes/day for > 25 years, or > 10 cigarettes/day for > 30 years) aged 50–75 years. Lung nodules will be volumetric measured and classified by a modified PEOPLHE Lung-RADS 1.1 system. Current smokers will be offered smoking cessation support. Conclusion: The PEOPLHE program will provide information on strategies for screening enrollment and smoking cessation interventions; administrative, organizational, and radiological needs for performing a state-of-the-art LCS; collateral and incidental findings (both pulmonary and extrapulmonary), contributing to the LCS implementation within national healthcare systems.

The comparison between chest x-ray (CXR) and computed tomography (CT) images is commonly required in clinical practice to assess the evolution of chest pathological manifestations. Intrinsic differences between the two techniques, however, limit reader confidence in such a comparison. CT average intensity projection (AIP) reconstruction allows obtaining "synthetic" CXR (s-CXR) images, which are thought to have the potential to increase the accuracy of comparison between CXR and CT imaging. We aim at assessing the diagnostic performance of s-CXR imaging in detecting common pleuro-parenchymal abnormalities. 142 patients who underwent chest CT examination and CXR within 24 hours were enrolled. CT was the standard of reference. Both conventional CXR (c-CXR) and s-CXR images were retrospectively reviewed for the presence of consolidation, nodule/mass, linear opacities, reticular opacities, and pleural effusion by 3 readers in two separate sessions. Sensitivity, specificity, accuracy and their 95% confidence interval were calculated for each reader and setting and tested by McNemar test. Inter-observer agreement was tested by Cohen's K test and its 95%CI. Overall, s-CXR sensitivity ranged 45-67% for consolidation, 12-28% for nodule/mass, 17-33% for linear opacities, 2-61% for reticular opacities, and 33-58% for pleural effusion; specificity 65-83%, 83-94%, 94-98%, 93-100% and 79-86%; accuracy 66-68%, 74-79%, 89-91%, 61-65% and 68-72%, respectively. K values ranged 0.38-0.50, 0.05-0.25, -0.05-0.11, -0.01-0.15, and 0.40-0.66 for consolidation, nodule/mass, linear opacities, reticular opacities, and pleural effusion, respectively. S-CXR images, reconstructed with AIP technique, can be compared with conventional images in clinical practice and for educational purposes.

Background: While it's has already been demonstrated that cardiovascular mortality increases in patients with reduced ejection fraction (EF), there is no evidence that this parameter identifies with high sensitivity those who will experience sudden cardiac death (SCD). Cardiac magnetic resonance (CMR), through myocardial scar characterization, could enhance risk stratification for arrhythmic events in such patients. Purpose: The study's objective was to identify factors, independent of EF, capable of stratifying arrhythmic risk in a population of patients undergoing implantable cardioverter-defibrillator (ICD) placement. Methods: This is an observational, retrospective, longitudinal, cohort study. Demographic, clinical, and radiological data were collected for all patients undergoing ICD implantation between 2014 and 2021. Deaths from all causes and significant arrhythmic events (non-sustained ventricular tachycardia, sustained ventricular tachycardia, ventricular fibrillation) were recorded during routine device controls and remote monitoring. To define the prognostic value of various factors was performed an univariate Kaplan-Meier analysis in relation to the composite primary endpoint, consisting of ventricular arrhythmias [VA] and all-cause mortality. Results: Among 700 patients (82% males, mean age 69 ± 13 years) who underwent ICD implantation (46% single-chamber, 15% dual-chamber, 36% cardiac resynchronization therapy, 3% subcutaneous ICD) pre-implantation CMR was available in 354 of the total, with 69% of them implanted for primary prevention and 52% with non-ischemic cardiomyopathy. Late gadolinium enhancement (LGE) was present in 67% of them; and 30% of these patients had it in fewer than 5 segments. At the end of the mean 8-year follow-up, 30.6% of patients died. Patients with LGE showed increased all-cause mortality and incidence of VA compared to those without LGE (HR=2.17 [1.78-2.60]; p<0.05); this data was mainly driven by the difference in mortality, as the incidence of VA alone did not exhibit significant variation between the two groups (HR=0.7 [0.65-1.02]; p=0.23). In patients with fewer than 5 cardiac segments involved by LGE, the risk of all-cause death and significant VA was higher than in those with more than 5 segments involved (HR=2.46 [2.09-9.07]; p<0.05). Conclusions: The presence of LGE emerged as a significant prognostic factor for both arrhythmic events and overall mortality. This suggests the possibility that assessing myocardial fibrosis serves as a comprehensive predictor of the patient's future clinical outcome, extending beyond merely predicting arrhythmic events. Notably, the relevance of LGE is heightened when observed in fewer than 5 segments, indicating a focal substrate, making it a crucial prognostic factor for anticipating arrhythmic events. In patients with reduced EF, pre-implantation CMR proves valuable in effectively stratifying arrhythmic risk and all-cause mortality.

Background: The implantation of defibrillators (ICDs) in patients over 80 years old is becoming increasingly common; however, evidence-based data regarding the actual clinical benefit in this population remain limited and contradictory. While age seems not to affect mortality and arrhythmia risk in octogenarians undergoing secondary prevention, the mortality reduction benefit given by ICD implantation for primary prevention appears to decrease with advancing age, likely due to the high number of non-arrhythmic deaths. Purpose: This study aims to assess the long-term incidence of ventricular arrhythmias and mortality in a real-world cohort of octogenarian patients undergoing ICD implants. Methods: This was an observational, retrospective, longitudinal cohort study. Demographic, clinical, and radiological data were collected for all patients undergoing ICD implantation between 2014 and 2021. Deaths from all causes and significant arrhythmic events (sustained ventricular tachycardias and ventricular fibrillation) detected during routine device controls and remote monitoring were recorded. Then was performed an univariate Kaplan-Meier analysis, stratifying the population by age in relation to the two study endpoints: ventricular arrhythmias and all-cause mortality. Results: Out of a total of 700 patients, 512 underwent ICD implantation before the age of 80 (mean age at implantation 64±12), while 188 underwent ICD implantation after the age of 80 (mean age at implantation 82±3.2). No significant differences were found between these two groups in terms of gender (82% vs. 83% male; p 0.12), indication for implantation (74% vs. 75% primary prevention; p 0.79), and the presence of late gadolinium enhancement (LGE) on cardiac MRI (68% vs. 77%; p 0.14). Octogenarians were more frequently affected by ischemic heart disease (54% vs. 65%; p 0.01) and were more frequently treated with Amiodarone (17% vs. 24%; p 0.02). At the end of the average 8-year follow-up, octogenarians had significantly higher all-cause mortality than younger patients (HR=2.35 [1.88-3.16]; p<0.05), with survival curves diverging from 3 years after implantation. However, ventricular arrhythmic events were significantly reduced in octogenarian patients (HR=0.88 [0.87-0.89]; p<0.05). Conclusions: In a real-world population of octogenarian patients, the clinical benefit of ICD implantation for primary prevention appears diminished, considering the trade-off between ventricular arrhythmias and mortality, in both ischemic and non-ischemic cardiomyopathy patients.