Burkitt lymphoma, a type of non-Hodgkin B-cell lymphoma, is the fastest growing human cancer, presenting pathologically with a ‘starry sky’ pattern. It is most often found in the abdomen and the jaw, however, localization in the...

Objectives: Computerized tomography (CT) is the most accurate method for evaluating pelvic calcifications, which are of utmost importance for planning kidney transplantation (KT). The aim of our study was to evaluate the incidence and distribution of iliac artery calcifications and correlate the novel pelvic calcification score (PCS) with cardiovascular risk factors and graft and overall survival in KT patients. Methods: We retrospectively included 118 KT patients operated at our institution with pretransplant pelvic CT. Calcification morphology, circumference and length of both common and external iliac arteries were independently scored by two uroradiologists. PCS was calculated as the total score sum of all three calcification features in all vessels. PCS correlation with graft and patient survival was performed. Results: Calcification in at least one vascular segment was found in 79% of patients. PCS was significantly higher in male patients (p = 0.006), patients over 55 years (p < 0.001), and patients on haemodialysis (p = 0.016). Patients with a PCS >3 had significantly shorter graft and overall survival rates (p = 0.041 and p = 0.039, respectively). Conclusions: The extent of iliac artery calcification in KT recipients quantified by PCS on pretransplant CT correlates with graft and overall patient survival. A PCS over three was associated with worse clinical outcomes and could become a possible prognostic factor. Advances in knowledge: Our novel PCS is a robust method for quantifying iliac artery calcification burden. Since higher a PCS correlates with worse patient and graft survival, PCS has the potential to become a prognostic factor in kidney transplant patients.

Lumbar spine synovial cysts are benign growths adjoining the facet joints that may induce low back pain, lumbar radiculopathy and neurological deficit. However, they are not well defined concerning their origin, cause and pathology, as...

The aim of our study was to investigate iodine density (ID) and fat fraction (FF) on dual-energy computed tomography (DECT) in patients with acute pancreatitis (AP). This retrospective study included 72 patients with clinically confirmed AP and 62 control subjects with DECT of the abdomen. Two radiologists assessed necrosis and measured attenuation values, ID, and FF in three pancreatic segments. We used receiver operating characteristic (ROC) analysis to determine the optimal threshold for ID for the differentiation between AP groups. The ID was significantly higher in interstitial edematous AP compared to necrotizing AP and the control group (both p < 0.05). The ROC curve analysis revealed the thresholds of ID for detecting pancreatic necrosis ≤ 2.2, ≤2.3, and ≤2.4 mg/mL (AUC between 0.880 and 0.893, p > 0.05) for the head, body, and tail, respectively. The FF was significantly higher for pancreatitis groups when compared with the control group in the head and body segments (both p < 0.001). In the tail, the difference was significant in necrotizing AP (p = 0.028). The ID values were independent of attenuation values correlated with the FF values in pancreatic tissue. Iodine density values allow for differentiation between morphologic types of AP.

Background: Vascular calcifications (VC) are increasingly prevalent in patients with chronic kidney disease. This study aimed to assess the incidence of iliac artery calcifications in kidney transplant (KT) patients and explore the relationship between iliac VC burden measured by pelvic calcification score (PCS) and renal transplant outcomes. Methods: This prospective study involved 79 KT recipients. VC quantification, using a pre-transplant computed tomography (CT) scan, was performed by assessing calcifications in the common and external iliac arteries bilaterally, resulting in an overall PCS ranging from 0 (no calcifications) to 44 (extensive calcifications). Based on PCS values, patients were divided into three equal-sized groups: PCS Group 1 (PCS 0–4), PCS Group 2 (PCS 5–19), and PCS Group 3 (PCS > 19). Post-transplant outcomes tracked for at least 1 year were patient and graft survival, graft function (urea, creatinine, MAG-3 clearance), and incidence of MACE during the first post-transplant year. Results: Calcifications were present in at least one arterial segment in 61 patients (77.2%). One-year patient survival was 95%, and one-year graft survival was 92.4%. Patients in PCS Group 3 had significantly lower one-year patient and graft survival compared to those in PCS Group 1 and 2 (p = 0.006 and p = 0.008, respectively). MACE and renal function indicators 1-year post-transplant were similar across all PCS groups. Conclusions: Our study demonstrated that a significant majority of KT recipients exhibited iliac VC during pre-transplant CT assessments. Patients in PCS Group 3 exhibited significantly lower one-year patient and graft survival rates compared to those in PCS Groups 1 and 2, indicating that this subgroup may require more intensive post-transplant monitoring and management.

The aim of our study was to establish and compare the diagnostic accuracy and clinical applicability of published chest CT severity scoring systems used for COVID-19 pneumonia assessment and to propose the most efficient CT scoring system with the highest diagnostic performance and the most accurate prediction of disease severity. This retrospective study included 218 patients with PCR-confirmed SARS-CoV-2 infection and chest CT. Two radiologists blindly evaluated CT scans and calculated nine different CT severity scores (CT SSs). The diagnostic validity of CT SSs was tested by ROC analysis. Interobserver agreement was excellent (intraclass correlation coefficient: 0.982–0.995). The predominance of either consolidations or a combination of consolidations and ground-glass opacities (GGOs) was a predictor of more severe disease (both p < 0.005), while GGO prevalence alone was not. Correlation between all CT SSs was high, ranging from 0.848 to 0.971. CT SS 30 had the highest diagnostic accuracy (AUC = 0.805) in discriminating mild from severe COVID-19 disease compared to all the other proposed scoring systems (AUC range 0.755–0.788). In conclusion, CT SS 30 achieved the highest diagnostic accuracy in predicting the severity of COVID-19 disease while maintaining simplicity, reproducibility, and applicability in complex clinical settings.