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  • Balling Peacock posted an update 2 hours, 47 minutes ago

    This study explores the presentation, management and outcomes of traumatic venous sinus thrombosis (VST) and identifies risk factors associated with poor outcomes.

    This study is a retrospective review of all patients with VST secondary to trauma who presented to a major trauma centre, between April 2015 and January 2020. VST was confirmed by CT venogram and a consultant neuroradiologist.

    Forty-six patients were identified (38 male), mean age of 43 (range 12-78) and median follow-up 10.2months (range 0.7-39.1). Fifty-two percent presented as a severe traumatic brain injury, and all had an associated skull fractures overlying the sinus. Ninety-six percent had cerebral contusions, 96% had an intracranial haematoma, 91% had traumatic subarachnoid haemorrhage (tSAH) and 22% had acute cerebral infarction. Thirty-seven percent of the VSTs were occlusive. Fifty-eight percent had sustained, unprovoked intracranial pressure (ICP) spikes (> 20mmHg). Fifty percent underwent surgical intervention-20% external vencome with or without anticoagulation. Larger, prospective cohort studies are needed to better understand this condition and establish evidence-based guidelines.

    Liquid biopsy for early-stage lung cancer diagnosis is challenging, and optimal candidates’ clinicopathological features are unknown. We investigated utility and clinicopathological features of optimal candidates in somatic mutation-targeted liquid biopsy using droplet digital polymerase chain reaction (ddPCR) in pN0M0 EGFR mutation-positive lung adenocarcinoma patients.

    We performed EGFR mutation-targeted ddPCR liquid biopsy in 100 patients with resected pN0M0 invasive lung adenocarcinoma, whose tumor diameter in high-resolution computed tomography (HRCT) was ≤ 5cm. Peripheral blood-derived serum was collected preoperatively. Two representative EGFR somatic variants (exon 19 [E746-A750 del (2235_2249 del)]; exon 21 (L858R)) were utilized as liquid biopsy targets. Clinicopathological features including radiological appearance, subhistology, and invasive status were compared between ddPCR-positive and ddPCR-negative patients.

    Among the 100 patients, 98 showed part-solid or pure-solid appearance in HRCT ashowed pure-solid appearance in HRCT. The detection ratio increased to 21.3% (10/47) among patients with pure-solid appearance tumors. Tumor appearance might be useful for better selection of liquid biopsy candidates.

    Chemokine (C-C motif) ligand 19 (CCL19) is a leukocyte chemoattractant that plays a crucial role in cell trafficking and leukocyte activation. Dysfunctional CD8

    T cells play a crucial role in persistent HBV infection. However, whether HBV can be cleared by CCL19-activated immunity remains unclear.

    We assessed the effects of CCL19 on the activation of PBMCs in patients with HBV infection. We also examined how CCL19 influences HBV clearance and modulates HBV-responsive T cells in a mouse model of chronic hepatitis B (CHB). read more In addition, C-C chemokine-receptor type 7 (CCR7) knockdown mice were used to elucidate the underlying mechanism of CCL19/CCR7 axis-induced immune activation.

    From in vitro experiments, we found that CCL19 enhanced the frequencies of Ag-responsive IFN-γ

    CD8

    T cells from patients by approximately twofold, while CCR7 knockdown(LV-shCCR7) and LY294002partially suppressed IFN-γ secretion. In mice, CCL19 overexpression led to rapid clearance of intrahepatic HBV likely through increased intrahepatic CD8

    T-cell proportion, decreased frequency of PD-1

    CD8

    T cells in blood and compromised suppression of hepatic APCs, with lymphocytes producing a significantly high level of Ag-responsive TNF-α and IFN-γ from CD8

    T cells. In both CCL19 over expressing and CCR7 knockdown(AAV-shCCR7) CHB mice, the frequency of CD8

    T-cell activation-induced cell death (AICD) increased, and a high level of Ag-responsive TNF-α and low levels of CD8

    regulatory T (T

    ) cells were observed.

    Findings in this study provide insights into how CCL19/CCR7 axis modulates the host immune system, which may promote the development of immunotherapeutic strategies for HBV treatment by overcoming T-cell tolerance.

    Findings in this study provide insights into how CCL19/CCR7 axis modulates the host immune system, which may promote the development of immunotherapeutic strategies for HBV treatment by overcoming T-cell tolerance.

    We have developed the computer-aided detection (CADe) system using an original deep learning algorithm based on a convolutional neural network for assisting endoscopists in detecting colorectal lesions during colonoscopy. The aim of this study was to clarify whether adenoma miss rate (AMR) could be reduced with CADe assistance during screening and surveillance colonoscopy.

    This study was a multicenter randomized controlled trial. Patients aged 40 to 80years who were referred for colorectal screening or surveillance at four sites in Japan were randomly assigned at a 11 ratio to either the “standard colonoscopy (SC)-first group” or the “CADe-first group” to undergo a back-to-back tandem procedure. Tandem colonoscopies were performed on the same day for each participant by the same endoscopist in a preassigned order. All polyps detected in each pass were histopathologically diagnosed after biopsy or resection.

    A total of 358 patients were enrolled and 179 patients were assigned to the SC-first group or CADe-first group. The AMR of the CADe-first group was significantly lower than that of the SC-first group (13.8% vs. 36.7%, P < 0.0001). Similar results were observed for the polyp miss rate (14.2% vs. 40.6%, P < 0.0001) and sessile serrated lesion miss rate (13.0% vs. 38.5%, P = 0.03). The adenoma detection rate of CADe-assisted colonoscopy was 64.5%, which was significantly higher than that of standard colonoscopy (53.6%; P = 0.036).

    Our study results first showed a reduction in the AMR when assisting with CADe based on deep learning in a multicenter randomized controlled trial.

    Our study results first showed a reduction in the AMR when assisting with CADe based on deep learning in a multicenter randomized controlled trial.