Effect of offset on the precision of 3D-printed orthognathic surgical splints.

OBJECTIVE: This study evaluated the effect of offset on the precision of three-dimensional (3D)-printed splints, proposing to optimize the splint design to compensate for systematic errors. MATERIALS AND METHODS: 14 resin model sets were scanned and offset as a whole by given distances (0.05, 0.10, 0.15, 0.20, 0.25, 0.30, 0.35, and 0.40 mm). Intermediate splints (ISs) and final splints (FSs) were generated from the non-offset and offset models and grouped correspondingly, named as splint type-offset value, IS-0.05, for instance. Dentitions occluded with the splint were scanned. Translational and rotational deviations of the lower dentition relative to the upper dentition were 3D measured. RESULTS: Deviations of ISs and FSs were more evident in the vertical and pitch dimensions, and were mostly acceptable in other dimensions. ISs with offset ≥ 0.05 mm showed vertical deviations significantly below 1 mm (P < 0.05) while ISs with 0.10- to 0.30-mm offsets had pitch rotations significantly lower than 1° (P < 0.05). The Pitch of IS-0.35 was significantly larger than ISs with 0.15- to 0.30-mm offsets (P < 0.05). Meanwhile, FSs fit better as the offset increased and FSs with offsets ≥ 0.15 mm all had deviations significantly lower than 1 mm (for translation) or 1° (for rotation) (P < 0.05). CONCLUSIONS: Offset affects the precision of 3D-printed splints. Moderate offset values of 0.10 to 0.30 mm are recommendable for ISs. Offset values ≥ 0.15 mm are recommended for FSs in cases with stable final occlusion. CLINICAL RELEVANCE: This study found the optimal offset ranges for 3D-printed ISs and FSs via a standardized protocol.

Markers of inflammation in the breath in paediatric inflammatory bowel disease.

OBJECTIVES: Breath analysis and exhaled breath condensate (EBC) collection are simple and noninvasive processes whereby inflammatory mediators and other biomarkers can be assessed in diseases that affect the lung. It was hypothesised that markers of epithelial dysfunction and secretion, such as a low pH, 8-isoprostane, and release of epithelial factors such as trefoil factor 2 (TFF2) and mucin, would be elevated in the breath of those with inflammatory bowel disease (IBD). The aim was to compare the levels of these biomarkers in EBC and the fraction of expired nitric oxide (FENO) in children with Crohn disease (CD), in those with asthma, and in normal individuals in a pilot study. METHODS: EBC was collected from patients in the 3 groups mentioned above in a cross-sectional design. pH, 8-isoprostane, TFF2, and mucin levels were measured in the EBC. Spirometry was performed in asthmatic patients and patients with IBD, whereas FENO and skin prick tests were performed in patients with IBD. RESULTS: Breath samples including EBC were collected from 80 patients (30 CD, 30 asthma, 20 controls). Compared with controls, EBC pH was lower in children with IBD (P < 0.0001) or asthma (P = 0.0041). 8-Isoprostane levels differed between the 3 groups (P < 0.05). EBC TFF2 was mainly less than the limit of detection, whereas mucin levels did not differ significantly between the 3 groups. FENO was measurable in children with IBD, but did not correlate with disease activity or serum markers of inflammation. CONCLUSIONS: A lower EBC pH may reflect inflammatory events either in the lung or systemically. 8-Isoprostane, FENO, and mucin were detected for the first time in the EBC of children with IBD. Further studies are required to assess the value of these assessments.

A nomogram based on clinicopathological and ultrasound characteristics to predict central neck lymph node metastases in papillary thyroid cancer.

Purpose: Papillary thyroid cancer (PTC) has grown rapidly in prevalence over the past few decades, and central neck lymph node metastasis (CNLNM) is associated with poor prognoses. However, whether to carry out preventive central neck lymph node dissection (CNLND) is still controversial. We aimed to construct a prediction model of CNLNM to facilitate making clinical surgical regimens. Methods: A total of 691 patients with PTC between November 2018 and December 2021 were included in our study. Univariate and multivariate analyses were performed on basic information and clinicopathological characteristics, as well as ultrasound characteristics (American College of Radiology (ACR) scores). The prediction model was constructed and performed using a nomogram, and then discriminability, calibrations, and clinical applicability were evaluated. Results: Five variables, namely, male, age >55 years, clinical lymph node positivity, tumor size ≥1 cm, and ACR scores ≥6, were independent predictors of CNLNM in the multivariate analysis, which were eventually included to construct a nomogram model. The area under the curve (AUC) of the model was 0.717, demonstrating great discriminability. A calibration curve was developed to validate the calibration of the present model by bootstrap resampling, which indicated that the predicted and actual values were in good agreement and had no differentiation from the ideal model. The decision curve analysis (DCA) indicated that the prediction model has good clinical applicability. Conclusions: Our non-invasive prediction model combines ACR scores with clinicopathological features presented through nomogram and has shown good performance and application prospects for the prediction of CNLNM in PTCs.

Analysis of chemical composition and in vitro antidermatophyte activity of ethanol extracts of Dryopteris fragrans (L.) Schott.

ETHNOPHARMACOLOGICAL RELEVANCE: Dryopteris fragrans (L.) Schott is a deciduous perennial herb, which has been used traditionally for treatment of ringworm infections and others skin diseases in the north of China. AIM OF THE STUDY: To characterize the chemical composition, evaluate the antifungal activity and explore possible mechanisms about action of ethanol extracts of D. fragrans. MATERIALS AND METHODS: The chemical components in the ethanol extracts of D. fragrans were detected by high-performance liquid chromatography coupled with electrospray ionization and quadruple time-of-flight mass spectrometry (HPLC-ESI-QTOF-MS/MS). The minimal inhibitory concentrations (MIC) and minimal fungicidal concentrations (MFC) of the ethanol extracts of D. fragrans were determined by the Clinical and Laboratory Standards Institute (CLSI) M38-A2 method against 62 isolates of dermatophytes. The kinetics of fungal kill, synergy testing by checkerboard dilution and quantitation of sterol by ultra-performance liquid chromatography (UPLC) on Trichophyton rubrum and Trichophyton mentagrophytes were also investigated. RESULTS: Fourteen derivatives of phloroglucinol were identified in the ethanol extracts of D. fragrans. The MIC of the ethanol extracts of D. fragrans ranged from 0.059 to 3.780 mg/mL while MFC ranged from 0.118 to 3.780 mg/mL. The ethanol extracts of D. fragrans exerted fungicidal activity after 12 h of incubation against Trichophyton rubrum while it required 36 h of incubation against Trichophyton mentagrophytes at concentrations of 8 × MIC. In synergy testing, the interaction between miconazole (MCZ) and terbinafine (TBF) with the ethanol extracts of D. fragrans proved to be indifferent by testing fractional inhibitory concentration (FIC) values. Sterol in samples of fungal cells treated with the ethanol extracts of D. fragrans was significantly reduced. CONCLUSIONS: The ethanol extracts of D. fragrans had antifungal and fungicidal activity against dermatophytes and was likely a strain-dependent fungicidal agent. Interaction between drugs was indifferent on tested isolates. The inhibition of ergosterol biosynthesis was one of the antifungal mechanisms of the ethanol extracts of D. fragrans. These results showed that the ethanol extracts of D. fragrans could be explored for promising antifungal drugs. Dozens of phloroglucinol derivatives may contribute to high antifungal activity of the ethanol extracts of D. fragrans.