Wilderdencker5877

There may be an interobserver variation in the diagnosis of laryngeal disease based on laryngoscopic images according to clinical experience. Therefore, this study is aimed to perform computer-assisted diagnosis for common laryngeal diseases using deep learning-based disease classification models.

Experimental study with retrospective data METHODS A total of 4106 images (cysts, nodules, polyps, leukoplakia, papillomas, Reinke's edema, granulomas, palsies, and normal cases) were analyzed. After equal distribution of diseases into ninefolds, stratified eightfold cross-validation was performed for training, validation process and remaining onefold was used as a test dataset. A trained model was applied to test sets, and model performance was assessed for precision (positive predictive value), recall (sensitivity), accuracy, F1 score, precision-recall (PR) curve, and PR-area under the receiver operating characteristic curve (PR-AUC). GI254023X manufacturer Outcomes were compared to those of visual assessments by four trainees.

The trained deep neural networks (DNNs) outperformed trainees' visual assessments in discriminating cysts, granulomas, nodules, normal cases, palsies, papillomas, and polyps according to the PR-AUC and F1 score. The lowest F1 score and PR-AUC of DNNs were estimated for Reinke's edema (0.720, 0.800) and nodules (0.730, 0.780) but were comparable to the mean of the two trainees' F1 score with the best performances (0.765 and 0.675, respectively). In discriminating papillomas, the F1 score was much higher for DNNs (0.870) than for trainees (0.685). Overall, DNNs outperformed all trainees (micro-average PR-AUC=0.95; macro-average PR-AUC=0.91).

DNN technology could be applied to laryngoscopy to supplement clinical assessment of examiners by providing additional diagnostic clues and having a role as a reference of diagnosis.

3 Laryngoscope, 2021.

3 Laryngoscope, 2021.Sulfate-based acid amendments are used for treating litter between broiler chicken flocks and during grow-out for in-house ammonia abatement. These amendments reduce litter pH and inhibit ammonia volatilization by converting ammonia to nonvolatile ammonium. Research on the effects of acid amendments on litter microbiota is limited and usually done in microcosms, which do not replicate natural environments. In this study, we determined the changes in bacterial populations present in litter during downtime (the period after a flock was removed and before new broiler chicks were placed) and 24 h before and after the application of a sodium bisulfate (NaHSO4 )-based amendment. We used DNA sequencing technologies to characterize the litter microbiota, elucidating microbial shifts in litter samples with respect to downtime, litter depth, and NaHSO4 application. During downtime (∼18 d), the litter microbiota was dominated by Actinobacteria, Bacteroidetes, Firmicutes, and Proteobacteria. Sodium bisulfate affected the microbiota in the top layer (3 cm) of reused litter topdressed with fresh pine shavings and resulted in an increase in Escherichia spp. and Faecalibacterium spp. and a decrease in members of the phylum Acidobacteria. Furthermore, culturable Escherichia coli decreased by 1.5 log units during downtime, but an increase was observed for topdressed litter after NaHSO4 was applied. Although the effect of acidifiers on ammonia reduction, bird performance, and litter performance are well documented, their effect on litter bacteria is not well understood. Our results suggest that acidifiers may perturb litter bacteria when topdressed with fresh pine shavings and that further research is required.

Tracheal stenosis is an obstructive disease of the upper airway that commonly develops as a result of abnormal wound healing. We evaluated the anti-inflammatory and antifibrotic properties of nintedanib on tracheal stenosis both in vitro and in vivo.

Prospective controlled animal study and in vitro comparative study of human cells.

An animal model of tracheal stenosis was induced via tracheal trauma. Postsurgical rats were orally administered with nintedanib (10 or 20 mg/kg/d) or saline (negative control) for 2 weeks, and tracheal specimens were harvested after 3 weeks. Degree of stenosis, collagen deposition, fibrotic surrogate markers expression, and T-lymphocytic infiltration were evaluated. Human fetal lung fibroblast-1 (HFL-1) cells were cultured to determine the effects of nintedanib on changes of cellular biological function induced by transforming growth factor-β1 (TGF-β1).

Rat tracheal stenotic tissues exhibited thickened lamina propria with irregular epithelium, characterized by significantly increased collagen deposition and elevated TGF-β1, collagen I, α-SMA and fibronectin expressions. Nintedanib markedly attenuated the tracheal stenotic lesions, reduced the collagen deposition and the expression of fibrotic marker proteins, and mitigated CD4+ T-lymphocyte infiltration. Additionally, cellular proliferation and migration were decreased dose-dependently in TGF-β1-stimulated HFL-1 cells when treated with nintedanib. Furthermore, nintedanib inhibited TGF-β1-induced HFL-1 differentiation and reduced the mRNA levels of the profibrotic genes. TGF-β1-activated phosphorylation of the TGF-β/Smad2/3 and ERK1/2 pathways were also blocked by nintedanib.

Nintedanib effectively prevented tracheal stenosis in rats by inhibiting fibrosis and inflammation. The antifibrotic effect of nintedanib may be achieved by inhibiting fibroblasts' proliferation, migration and differentiation and suppressing the TGF-β1/Smad2/3 and ERK1/2 signaling pathways.

NA Laryngoscope, 2021.

NA Laryngoscope, 2021.

Stevia leaves were subjected to convective hot-air, infrared and vacuum drying at 40, 60 and 80 °C, followed by an assessment of thermophysical properties and microstructure, along with drying kinetics modelling and evaluation of energy features for all drying operations.

Effective moisture diffusivity (D

) showed dependency on temperature with values ranging from 1.08 × 10

to 7.43 × 10

m

s

for convective drying, from 0.71 × 10

to 6.60 × 10

m

s

for infrared drying, and from 1.29 × 10

to 5.39 × 10

m

s

for vacuum drying. The thermal properties of the dried Stevia leaves under different drying conditions showed values of density, specific heat, thermal diffusivity, thermal conductivity and thermal effusivity ranging from 95.6 to 116.2kg m

, 3050 to 3900 J kg

K

, 4.28 × 10

to 5.60 × 10

m

s

, 0.16 to 0.23 W m

K

and 244 to 305 W s

m

K

, respectively. As for microstructure, convective hot-air drying showed better preserved leaf characteristics, compared to infrared- and vacuum-drying, whereby scanning electron microscopy (SEM) image analysis also revealed noticeable differences at higher temperatures.