Fractured bone spike was the cause of injury in eight patients and iatrogenic injury in six patients. Diagnosis was confirmed by CT angiography with duplex scan in eight patients, duplex scan alone in one patient, MRI along with duplex scan in one patient. The remaining four patients were diagnosed intraoperatively. Excision of the pseudoaneurysm and ligation of the involved minor arteries was done in eight patients. Surgical repair of the major artery with critical vascular injury was done in six patients. One patient underwent secondary amputation following the anastomotic blowout.

Early diagnosis of pseudoaneurysm requires knowledge and a high index of suspicion. Surgical reconstruction of major arteries should always be done and ligation of major vessels can lead to catastrophes. Excision of pseudoaneurysm can be done when minor arteries are involved with the presence of good collateral circulation.

Level IV Study.

Level IV Study.

To explore the function of endplate epiphyseal ring in OLIF stand-alone surgery using a biomechanical model to reduce the complications of endplate collapse and cage subsidence.

In total, 24 human cadaveric lumbar function units (L1-2 and L3-4 segments) were randomly assigned to two groups. The first group was implanted with long fusion cages which engaged with both inner and outer regions of epiphyseal ring (Complete Span-Epiphyseal Ring, CSER). Those engaged with only the inner half of epiphyseal ring were the second group (Half Span-Epiphyseal Ring, HSER). Each group was divided into two subgroups [higher cage-height (HH) and normal cage-height (NH)]. Specimens were fixed in testing cups and compressed at approximately 2.5mm/s, until the first sign of structural failure. Trabecular structural damage was analyzed by Micro-CT, as well as the difference of bone volume fraction (BV/TV), trabecular thickness (Tb.Th) et al. in different regions.

Endplate collapse was mainly evident in the inner region of esc space height and place the cages spanning over the whole epiphyseal ring to improve support strength.

We aimed to assess extracellular volume (ECV) through non-gated, contrast-enhanced computed tomography (CT) before and after radiation therapy (RT) in patients with esophageal cancer (EC).

EC patients who had undergone CT before and after RT were retrospectively assessed. Patients with preexisting cardiovascular disease or with heavily artifacted CT were excluded. ECV was calculated using density values for the myocardial septum and blood pool. Data were reported as mean and standard deviation or median and interquartile range according to their distribution; t test or Wilcoxon and Pearson r or Spearman ρ were subsequently used.

Twenty-one patients with stage ≥ IB EC, aged 64 ± 18years, were included. Mean and maximum RT doses were 21.2Gy (16.9-24.1) and 42.5Gy (41.8-49.2), respectively. At baseline (n = 21), hematocrit was 39% ± 4%, ECV 27.9% ± 3.5%; 35days (30-38) after RT (n = 20), hematocrit was 36% ± 4%, lower than at baseline (p = 0.002), ECV 30.3% ± 8.3%, higher than at baseline (p = 0.081); at follow-up 420days (244-624) after RT (n = 13), hematocrit was 36% ± 5%, lower than at baseline (p = 0.030), ECV 31.4% ± 4.5%, higher than at baseline (p = 0.011). No patients showed signs of overt cardiotoxicity. ECV early after RT was moderately positively correlated with maximum RT dose (ρ = 0.50, p = 0.036).

In EC patients, CT-derived myocardial ECV was increased after RT and may thus appear as a potential early biomarker of cardiotoxicity.

In EC patients, CT-derived myocardial ECV was increased after RT and may thus appear as a potential early biomarker of cardiotoxicity.

With recent transformations in medical education, the integration of technology to improve medical students’ abilities has become feasible. Artificial intelligence (AI) has impacted several aspects of healthcare. However, few studies have focused on medical education. AMPK activator We performed an AI-assisted education study and confirmed that AI can accelerate trainees’ medical image learning.

We developed an AI-based medical image learning system to highlight hip fracture on a plain pelvic film. Thirty medical students were divided into a conventional (CL) group and an AI-assisted learning (AIL) group. In the CL group, the participants received a prelearning test and a postlearning test. In the AIL group, the participants received another test with AI-assisted education before the postlearning test. Then, we analyzed changes in diagnostic accuracy.

The prelearning performance was comparable in both groups. In the CL group, postlearning accuracy (78.66 ± 14.53) was higher than prelearning accuracy (75.86 ± 11.36) with no significant difference (p = .264). The AIL group showed remarkable improvement. The WithAI score (88.87 ± 5.51) was significantly higher than the prelearning score (75.73 ± 10.58, p < 0.01). Moreover, the postlearning score (84.93 ± 14.53) was better than the prelearning score (p < 0.01). The increase in accuracy was significantly higher in the AIL group than in the CL group.

The study demonstrated the viability of AI for augmenting medical education. Integrating AI into medical education requires dynamic collaboration from research, clinical, and educational perspectives.

The study demonstrated the viability of AI for augmenting medical education. Integrating AI into medical education requires dynamic collaboration from research, clinical, and educational perspectives.Noroviruses have been recognized as the most important causative agents of acute gastroenteritis. The present study was carried out to investigate the molecular epidemiological features of genotype II (GII) norovirus in outpatients with acute gastroenteritis in Shandong province in China from July 2017 to June 2018. In total, 151 (10.30%) samples were positive for NoV GII strains by RT-PCR. Eight genotypes were detected GII.2, GII.3, GII.4, GII.6, GII.7, GII.12, GII.13 and GII.17. GII.4 (43.71%) was the most prevalent genotype, and the dominant strains belonged to the group of Sydney-2012 strains. GII.17 (27.15%), which has become the main cause of outbreaks of acute gastroenteritis in China, also accounted for a high proportion. Meanwhile, three recombinant types (GII.P17-GII.7, GII.P3-GII.4 and GII.P12-GII.4) were observed and authenticated using Simplot software. The results showed that GII norovirus was the main cause of acute gastroenteritis in Shandong province. GII.4 and GII.17 were the dominant genotypes.