Graphene oxide (GO) was found to effectively enhance the selectivity of aggregation-induced emission (AIE) biosensors, and a new method based on GO and AIE molecules was proposed to detect bovine serum albumin (BSA) with high sensitivity and selectivity.

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Extracranial metastasis of glioblastoma multiforme (GBM) is very rare, in spite of very aggressive tumor behavior and being documented in only a few patients. In this article we present a 25-year-old man with secondary glioblastoma associated with extracranial progression and distant metastasis. He was diagnosed by magnetic resononce (MR) with an intracranial lesion in the right parietofrontal region, which was subsequently resected. Histology revealed a diffuse astrocytoma (grade II). The tumor recurred 1 year later and the patient received a second craniotomy. A diagnosis of GBM was made. After radiotherapy, he presented with right cervical lymph node metastases. The cytomorphological features supported a diagnosis of metastatic glioblastoma multiforme. The neck dissection was made and histology confirmed the fine needle aspiration diagnosis of glioblastoma multiforme. MR with diffusion-weighted imaging revealed right cervical lymph node metastases and multi-bone metastases (mainly pelvic bone) 3 weeks later.

BackgroundAssessment of inflammatory activity in patients with ulcerative colitis (UC) is crucial to the prediction of relapse. Confocal laser endomicroscopy (CLE) is an accurate tool for assessing inflammatory activity in UC patients. This study aimed to evaluate whether CLE could be used to predict UC relapse reliably.MethodsIn total, forty-three patients with documented UC were analyzed in this study. Patients identified as having obvious active inflammation by conventional colonoscopy were excluded. The mucosa of each patient’s sigmoid colon and rectum was assessed by CLE before targeted biopsies were taken. The patients were then followed up for at least 12 months to evaluate relapse according to the Simple Clinical Colitis Activity Index. The correlation between CLE classification and UC relapse was evaluated.ResultsSeventeen of 20 patients with histologically confirmed normal or chronic inflammation were diagnosed as having non-active inflammation by real-time CLE and 22 of 23 patients with histologically confirmed acute inflammation were diagnosed as having active inflammation by CLE. The sensitivity, specificity, and accuracy of CLE in real-time diagnosis of active inflammation were 95.7%, 85%, and 90.7%, respectively. The agreement between CLE and conventional histology was excellent (kappa value = 0.812). Two of 18 (11.1%) patients who were classified as having non-active inflammation by CLE relapsed, while 16 of 25 (64%) patients classified as having as active inflammation relapsed. The relapse rate of patients with active inflammation was significantly higher than of those with non-active inflammation (P < 0.001).ConclusionsCLE is comparable to conventional histology in predicting relapse in patients with UC.

BackgroundDiagnosis of Helicobacter pylori (H. pylori) infection using magnifying endoscopy offers advantages over conventional invasive and noninvasive tests.ObjectiveThis meta-analysis aimed to assess the diagnostic performance of magnifying endoscopy in the prediction of H. pylori infection.MethodsA literature search of the PubMed, Medline, EMBASE, Science Direct and the Cochrane Library databases was performed. A random-effects model was used to calculate the diagnostic efficiency of magnifying endoscopy for H. pylori infection. A summary receiver operator characteristic curve was plotted, and the area under the curve (AUC) was calculated.ResultsA total of 18 studies involving 1897 patients were included. The pooled sensitivity and specificity of magnifying endoscopy to predict H. pylori infection were 0.89 [95% confidence interval (CI) 0.87–0.91] and 0.82 (95%CI 0.79–0.85), respectively, with an AUC of 0.9461. When targeting the gastric antrum, the pooled sensitivity and specificity were 0.82 (95%CI 0.78–0.86) and 0.72 (95%CI 0.66–0.78), respectively. When targeting the gastric corpus, the pooled sensitivity and specificity were 0.92 (95%CI 0.90–0.94) and 0.86 (95%CI 0.82–0.88), respectively. The pooled sensitivity and specificity using magnifying white light endoscopy were 0.90 (95%CI 0.87–0.91) and 0.81 (95%CI 0.77–0.84), respectively. The pooled sensitivity and specificity using magnifying chromoendoscopy were 0.87 (95%CI 0.83–0.91) and 0.85 (95%CI 0.80–0.88), respectively. The “pit plus vascular pattern” classification in the gastric corpus observed by magnifying endoscopy was able to accurately predict the status of H. pylori infection, as indicated by a pooled sensitivity and specificity of 0.96 (95%CI 0.94–0.97) and 0.91 (95%CI 0.87–0.93), respectively, with an AUC of 0.9872.ConclusionsMagnifying endoscopy was able to accurately predict the status of H. pylori infection, either in magnifying white light endoscopy or magnifying chromoendoscopy mode. The “pit plus vascular pattern” classification in the gastric corpus is an optimum diagnostic criterion.