Clinical impact of collateral circulation in patients with median arcuate ligament syndrome

PURPOSE:We aimed to analyze computed tomography (CT) findings and medical records of patients diagnosed with median arcuate ligament syndrome (MALS) and evaluate possible risk factors associated with vascular complications that develop in patients with MALS.METHODS:This retrospective study was approved by the institutional review board, and the requirement to obtain informed consent was waived. A total of 37 consecutive patients were diagnosed with MALS using both axial and sagittal CT reconstruction imaging at a single institution over a 7-year period. Dynamic contrast-enhanced CT data, medical records, and angiography results were reviewed.RESULTS:Thirty-two (86.5%) patients were asymptomatic and incidentally diagnosed with MALS using CT. Seventeen (45.9%) patients exhibited significant arterial collateral circulations and nine (24.3%) were found to have splanchnic artery aneurysms, including one (2.7%) with acute bleeding secondary to aneurysm rupture. Peripancreatic vascular network including pancreaticoduodenal arcades and dorsal pancreatic artery was the most common site for development of both collateral circulations (16/22, 72.7%) and aneurysms (9/16, 56.3%). Splanchnic artery aneurysms were significantly more common in patients with collateral circulations (8/17, 47.1%) compared with those without collateral circulations (1/20, 5%) (P < 0.01). At least one peripancreatic vascular aneurysm was found in five of nine patients with splanchnic artery aneurysms (55.6%).CONCLUSION:Splanchnic artery aneurysms are not uncommon in asymptomatic patients with collateral circulations caused by significant celiac trunk stenosis or obstruction due to median arcuate ligament. Therefore, careful imaging evaluation is necessary in patients with peripancreatic collateral circulations associated with MALS and regular follow-up is recommended for possibility of aneurysm development and rupture. Prophylactic endovascular treatment should be specifically performed in patients with pancreaticoduodenal arcade aneurysms to prevent life-threatening aneurysm rupture regardless of size

Insights into hepatocellular adenomas in Asia: molecular subtypes, clinical characteristics, imaging features, and hepatocellular carcinoma risks

Hepatocellular adenomas (HCAs) are benign monoclonal liver tumors. Advances in molecular studies have led to the identification of distinct subtypes of HCA with unique pathways, clinical characteristics, and complication risks, underscoring the need for precise diagnosis and tailored management. Malignant transformation and bleeding remain significant concerns. Imaging plays a crucial role in the identification of these subtypes, offering a non-invasive method to guide clinical decision-making. Most studies involving patients with HCAs have been conducted in Western populations; however, the number of studies focused on Asian population has increased in recent years. HCAs exhibit distinct features in Asian population, such as a higher prevalence among male patients and specific subtypes (e.g., inflammatory HCAs). Current clinical guidelines are predominantly influenced by Western data, which may not fully capture these regional differences in epidemiology and subtype distribution. Therefore, this review presents the updated molecular classification of HCAs and their epidemiologic differences between Asian and Western populations, and discuss the role of imaging techniques, particularly magnetic resonance imaging using hepatobiliary contrast agents, in classifying the subtypes and predicting the risk of hepatocellular carcinoma

The effect of isolation on job crafting in telecommuting

The aims of this study was to identify what behavior of employees in order to overcome the isolation in the environment in which telecommuting was implemented. Specifically, this study was the networking behavior will appear as a positive coping method for the employees to overcome the isolation, and the mediating process that it will have a positive effect on job crafting through these behaviors is examined. Also want to identify the moderating effect according of affective commitment in this influence series of processes. For this purpose, an online survey was conducted on employees who are currently telecommuting from domestic companies and a total of 313 data were analyzed. The results of this study are as follows. First, professional isolation had a positive related on task networking behavior and social isolation had a positive related on friendship networking behavior. Second, the relationship between networking behavior and job crafting had all positively related. Third, the mediating effect of networking behavior was significant in the relationship between isolation and job crafting. Fourth, the moderating effect of affective commitment was significant only in the relationship between social isolation and friendship networking behavior. Fifth, the moderated mediating effect of affective commitment was significant only in the indirect effect of friendship networking behavior. Based on these findings, we expect to help to understand the emotions and behaviors of employees that may appear at the beginning of introduction of telecommuting in depth.</jats:p

Prognostication of Hepatocellular Carcinoma Using Artificial Intelligence

Hepatocellular carcinoma (HCC) is a biologically heterogeneous tumor characterized by varying degrees of aggressiveness. The current treatment strategy for HCC is predominantly determined by the overall tumor burden, and does not address the diverse prognoses of patients with HCC owing to its heterogeneity. Therefore, the prognostication of HCC using imaging data is crucial for optimizing patient management. Although some radiologic features have been demonstrated to be indicative of the biologic behavior of HCC, traditional radiologic methods for HCC prognostication are based on visually-assessed prognostic findings, and are limited by subjectivity and inter-observer variability. Consequently, artificial intelligence has emerged as a promising method for image-based prognostication of HCC. Unlike traditional radiologic image analysis, artificial intelligence based on radiomics or deep learning utilizes numerous image-derived quantitative features, potentially offering an objective, detailed, and comprehensive analysis of the tumor phenotypes. Artificial intelligence, particularly radiomics has displayed potential in a variety of applications, including the prediction of microvascular invasion, recurrence risk after locoregional treatment, and response to systemic therapy. This review highlights the potential value of artificial intelligence in the prognostication of HCC as well as its limitations and future prospects

Visualization Score of Gadoxetic Acid-Enhanced Magnetic Resonance Imaging: The Effect on the Diagnostic Accuracy for Hepatocellular Carcinoma

Background: The visualization score of hepatobiliary-phase (HBP) images has been introduced as an image quality index for gadoxetic acid-enhanced MRI. It may be associated with hepatic function and could have an implication on the diagnostic accuracy for hepatocellular carcinoma (HCC). Purpose: To investigate the association between the visualization score of gadoxetic acid-enhanced MRI and clinical factors and to evaluate its effect on the diagnostic accuracy for HCC ≤ 3.0 cm. Study type: Retrospective. Population: A total of 493 focal lesions from 397 patients. Field strength/sequence: A 5-T or 3.0 -T with pre/postcontrast T1-weighted 3D gradient echo sequence, and T2-weighted fast spin-echo sequence ASSESSMENT: Child-Pugh classification and albumin-bilirubin (ALBI) score were assessed. Three readers evaluated the visualization score of each MRI examination (A, no or minimal; B, moderate; and C, severe limitations), and major features (arterial-phase hyperenhancement, washout, enhancing capsule, threshold growth) and ancillary features of each focal lesion. Statistical tests: Univariable and multivariable logistic regression analyses were performed to determine significant clinical factors associated with a suboptimal visualization score (B or C). Generalized estimating equations were used to compare the sensitivity and specificity for diagnosing HCC between the two group (visualization score A vs. B or C). A P value < 0.05 was considered statistically significant. Results: Of the 397 MRI examinations, the incidence of suboptimal visualization score was 13%. A suboptimal visualization score was significantly associated with Child-Pugh classification B or C (adjusted odds ratio [OR] = 15.2) and ALBI grade 2 or 3 (OR = 4.7). Compared with the visualization score A group, the suboptimal visualization score group showed significantly lower sensitivity (56.8% vs. 75.2%) and less frequent washout in HCC (62.2% vs. 84.0%). Data conclusion: The visualization score on gadoxetic acid-enhanced MRI can be an important image quality index and the diagnostic accuracy for HCC ≤ 3.0 cm may not be sufficient in the suboptimal visualization score group