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Detection involving pathogenic Leptospira species along with serovars throughout Nz making use of metabarcoding.
AIM Peroral endoscopic myotomy (POEM) is recommended for the endoscopic treatment of achalasia and esophageal junction outflow obstruction (EGJOO); however, absent contractility, a subtype of peristalsis disorders classified by the Chicago Classification of esophageal motility v3.0, has no effective treatment. The purpose of this study was to assess the efficacy of POEM in absent contractility, in the part of the patients presents with dysphagia. METHODS We conducted a single-center retrospective study at a tertiary referral center. We included 30 patients who mainly complain with dysphagia, and they underwent POEM from January 2013 to December 2018. The data of high-resolution esophageal manometry was collected before and after POEM. They were divided into 3 groups EGJOO, Achalasia, and Absent contractility according to the Chicago Classification of esophageal motility v3.0 before POEM. Telephone follow-up was made in February 2019 to obtain Eckardt scores and weight changes. RESULTS We found that both Eckardt scores and integrated relaxation pressure decreased post-POEM in the 3 groups (P less then 0.05). Eckardt score was significantly lower in the EGJOO group than in the Absent contractility group (P=0.004) post-POEM. The difference of Eckardt Score was higher in the EGJOO group (P=0.010) and the Achalasia group (P=0.007) than in the Absent contractility group, as was weight gain (P=0.023; P=0.002). CONCLUSIONS These findings suggest that POEM is an effective endoscopic procedure for patients with EGJOO and achalasia. Furthermore, POEM can significantly improve symptoms in patients with absent contractility, although less so than for the other 2 groups. POEM is a potential therapy for absent contractility patients presenting with dysphagia.PURPOSE To evaluate the interobserver agreement of chest computed tomography (CT) findings in the diagnosis of expected changes and local recurrence after stereotactic body radiation therapy (SBRT) in patients with early-stage lung cancer or a single pulmonary metastasis. MATERIALS AND METHODS A total of 54 patients with early-stage lung cancer or pulmonary metastasis who were treated with SBRT from 2007 to 2015 were included. The exclusion criteria were patients who presented with pulmonary infection during follow-up and patients who underwent a single CT during follow-up. The imaging features on CT were assessed by 3 blinded radiologists at the following 2 time points after SBRT (a) early follow-up and (b) late follow-up (≥6 mo). The radiologists classified the findings as expected changes after SBRT or recurrence. Interobserver agreement was assessed by kappa and Wilcoxon statistics. RESULTS A total of 13 women and 41 men with a mean age of 75.3 (±8.9) years were selected. The total and per fraction SBRT doses were 54 Gy (interquartile range 45 to 54) and 18 Gy (interquartile range 15 to 18), respectively. All expected changes and findings suggestive of recurrence had an almost perfect agreement (κ>0.85) among readers, except for diffuse consolidation in the early period (κ=0.65). CONCLUSION CT findings demonstrate high interobserver agreement for expected changes and for findings indicating recurrence after SBRT.OBJECTIVE To evaluate the diagnostic performance of automated quantitative analysis by coronary computed tomography angiography (CCTA) in identifying lesion-specific hemodynamic abnormality. Selleck AUNP-12 METHODS A total of 132 patients (mean age, 61 y; 86 men) with 169 vessels (with 30% to 90% diameter stenosis), who successively underwent invasive coronary angiography with evaluation of fractional flow reserve (values ≤0.8 were defined as lesion-specific hemodynamic abnormalities), were analyzed by CCTA. CCTA images were quantitatively analyzed using automated software to obtain the following index maximum diameter stenosis (MDS%); maximum area stenosis (MAS%); lesion length (LL); volume and burden (plaque volume×100 per vessel volume) of total plaque (total plaque volume [TPV], total plaque burden [TPB]), calcified plaque (calcified plaque volume [CPV], calcified plaque volume burden [CPB]), noncalcified plaque (noncalcified plaque volume [NCPV], noncalcified plaque volume burden [NCPB]), lipid plaque (lipid plaque volu0.70-0.85, P less then 0.05). CONCLUSIONS Compared with MDS% and the volume burdens of plaque compositions, MAS% has a higher diagnostic accuracy for coronary hemodynamic abnormalities in the precise quantitative analysis of coronary plaques on the basis of CT. Furthermore, MAS%+LPB might improve the diagnostic accuracy beyond MAS% alone.PURPOSE The purpose of this study was to evaluate the accuracy of a novel fully automated deep learning (DL) algorithm implementing a recurrent neural network (RNN) with long short-term memory (LSTM) for the detection of coronary artery calcium (CAC) from coronary computed tomography angiography (CCTA) data. MATERIALS AND METHODS Under an IRB waiver and in HIPAA compliance, a total of 194 patients who had undergone CCTA were retrospectively included. Two observers independently evaluated the image quality and recorded the presence of CAC in the right (RCA), the combination of left main and left anterior descending (LM-LAD), and left circumflex (LCx) coronary arteries. Noncontrast CACS scans were allowed to be used in cases of uncertainty. Heart and coronary artery centerline detection and labeling were automatically performed. Presence of CAC was assessed by a RNN-LSTM. The algorithm's overall and per-vessel sensitivity, specificity, and diagnostic accuracy were calculated. RESULTS CAC was absent in 84 and pr when data sets rated adequate or higher were combined. CONCLUSION The proposed RNN-LSTM demonstrated high diagnostic accuracy for the detection of CAC from CCTA.Novel coronavirus has become a global health hazard and its high infectivity is alarming. The imaging findings of the 2019-nCoV infection in our young diabetic patient featured ground-glass opacities and consolidations in both lungs. The lung lesions may involute rapidly during the course. The patient showed improvement both clinically and on computed tomography imaging at discharged after 2 weeks'treatment. Computed tomography scans of patients helped monitor the changes continuously, which could timely provide the information of the evolution of the disease or therapeutic effect to clinicians.
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