Clinical observation of topical antipruritic spray acting on epidermal growth factor receptor tyrosine kinase inhibitor in the treatment of dermatitis.

To observe the efficacy of topical antipruritic spray (TAS) in the treatment of epidermal growth factor receptor (EGFR) tyrosine kinase-related rashes, and to evaluate its efficacy and safety. 120 malignant tumor patients with confirmed pathological diagnosis and rash after EGFR application were selected and randomly divided into an experimental group of 60 cases and a control group of 60 cases. The 2 groups were intervened with self-made antipruritic spray and erythromycin ointment for 14 consecutive days. To observe the changes in rash, itching degree, and quality of life index of skin diseases in both groups of patients before and after treatment. The decrease in the number of itching cases in the experimental group reached 53.84%, and after 7 weeks of intervention, the total effective rate of rash treatment in this group of patients (91.67%) was significantly better than that in the control group (36.67%); The symptoms of the dermatology life quality index (DLQI) scale in the experimental group patient table after intervention showed significant changes compared to before intervention. After statistical testing, there was a significant difference between the groups and outside the group (R < 0.05). And the comprehensive effect of the experimental patients with external spray after 14 weeks of intervention reached 93.16%. The self-made antipruritic spray has significant effect on improving EGFR rash and itching, and there is no obvious adverse reaction.

A retrospective comparative study on the treatment of non-metastatic pancreatic cancer using high-intensity focused ultrasound versus radical surgery.

OBJECTIVE: To compare the efficacy and safety of high-intensity focused ultrasound (HIFU) and radical surgery for non-metastatic pancreatic cancer (PC). MATERIALS AND METHODS: We retrospectively analyzed 89 stage I/II/III PC patients who underwent HIFU (n = 43) or surgery (n = 46) at the Third Xiangya Hospital from January 2020 to December 2021. Pain relief, Karnofsky Performance Scale (KPS), overall survival (OS), treatment-related complications and risk factors for OS were assessed. RESULTS: There was no significant difference in the pain relief rate at 30 days post-treatment between the two groups. However, compared with the surgery group, the HIFU group showed significantly lower post-treatment VAS scores (p = 0.019). In the surgery group, the KPS at 30 days post-treatment was lower than pretreatment KPS (70 vs 80; p = 0.015). This relationship was reversed in the HIFU group (80 vs 70; p = 0.024). Median OS favored surgery over HIFU (23 vs 10 months; p < 0.001), with a higher 1-year OS rate (69.57% vs 32.6%; p < 0.001). However, there was no significant difference in OS between the two groups for stage III patients (p = 0.177). Complications rated ≥ grade III were 2.33% in the HIFU group and 32.6% in the surgery group. Multivariate analyses showed that age, KPS, and treatment methods were independent prognostic factors for OS. CONCLUSION: HIFU demonstrates advantages over surgery in terms of early KPS, VAS improvements, and safety for pancreatic cancer; however, long-term outcomes favor surgery. For III-stage disease, HIFU was noninferior to surgery in overall survival.

Unmanned aerial vehicles equipped with sensor packages to study spatiotemporal variations of air pollutants in industry parks.

Unmanned aerial vehicles (UAVs) equipped with a miniaturized sensor package were developed for aerial observations, which realizes aerial observations affordable to scientists in atmospheric science and achieves aerial measurements in high spatial resolution. UAVs are deployed to a variety of aerial detecting tasks in different scientific scenarios including chemical industry parks (CIPs) with hazardous gases emissions, and some places difficult for humans to reach. In this study, UAV sensing technology was deployed to detect air pollutants in a suburb, a CIP and a natural gas plant, respectively. The effects of atmospheric conditions such as the atmospheric boundary layer height, long-distance transport and atmospheric stability on the spatiotemporal variations of the air pollutants vertical profiles were investigated by the UAV. The UAV with the sensor package was deployed to capture the methane (CH4) leakages in a natural gas plant. The spatiotemporal variations of CH4 in both vertical and horizontal directions studied by UAV were employed to calculate accurate CH4 emissions, which is crucial to reducing the emissions of greenhouse gases. The low-cost UAV sensing technology for air pollutants was developed by Dr. Xiaobing Pang, who was funded by the Newton Fellowship in 2009 and worked in the University of York. This article is part of the theme issue 'Celebrating the 15th anniversary of the Royal Society Newton International Fellowship'.

Style Consistency Unsupervised Domain Adaptation Medical Image Segmentation.

Unsupervised domain adaptation medical image segmentation is aimed to segment unlabeled target domain images with labeled source domain images. However, different medical imaging modalities lead to large domain shift between their images, in which well-trained models from one imaging modality often fail to segment images from anothor imaging modality. In this paper, to mitigate domain shift between source domain and target domain, a style consistency unsupervised domain adaptation image segmentation method is proposed. First, a local phase-enhanced style fusion method is designed to mitigate domain shift and produce locally enhanced organs of interest. Second, a phase consistency discriminator is constructed to distinguish the phase consistency of domain-invariant features between source domain and target domain, so as to enhance the disentanglement of the domain-invariant and style encoders and removal of domain-specific features from the domain-invariant encoder. Third, a style consistency estimation method is proposed to obtain inconsistency maps from intermediate synthesized target domain images with different styles to measure the difficult regions, mitigate domain shift between synthesized target domain images and real target domain images, and improve the integrity of interested organs. Fourth, style consistency entropy is defined for target domain images to further improve the integrity of the interested organ by the concentration on the inconsistent regions. Comprehensive experiments have been performed with an in-house dataset and a publicly available dataset. The experimental results have demonstrated the superiority of our framework over state-of-the-art methods.

Unpaired Dual-Modal Image Complementation Learning for Single-Modal Medical Image Segmentation.

OBJECTIVE: Multi-modal MR/CT image segmentation is an important task in disease diagnosis and treatment, but it is usually difficult to acquire aligned multi-modal images of a patient in clinical practice due to the high cost and specific allergic reactions to contrast agents. To address these issues, a task complementation framework is proposed to enable unpaired multi-modal image complementation learning in the training stage and single-modal image segmentation in the inference stage. METHOD: To fuse unpaired dual-modal images in the training stage and allow single-modal image segmentation in the inference stage, a synthesis-segmentation task complementation network is constructed to mutually facilitate cross-modal image synthesis and segmentation since the same content feature can be used to perform the image segmentation task and image synthesis task. To maintain the consistency of the target organ with varied shapes, a curvature consistency loss is proposed to align the segmentation predictions of the original image and the cross-modal synthesized image. To segment the small lesions or substructures, a regression-segmentation task complementation network is constructed to utilize the auxiliary feature of the target organ. RESULTS: Comprehensive experiments have been performed with an in-house dataset and a publicly available dataset. The experimental results have demonstrated the superiority of our framework over state-of-the-art methods. CONCLUSION: The proposed method can fuse dual-modal CT/MR images in the training stage and only needs single-modal CT/MR images in the inference stage. SIGNIFICANCE: The proposed method can be used in routine clinical occasions when only single-modal CT/MR image is available for a patient.

Ommaya Reservoir-Assisted Treatment for Giant Cystic Solid Craniopharyngioma in Children.

OBJECTIVE: In children with giant cystic solid craniopharyngioma (CP), the Ommaya reservoir was implanted in the CP cavity, and the cystic fluid was continuously drained for 5 days before the tumor resection. METHODS: An 11-year-old male patient was admitted to the hospital due to vision loss for 1 year, intermittent headache, vomiting for 6 months, and frequent urination for 2 months. Besides, magnetic resonance imaging of the head showed cystic solid lesions in the sellar region, suprasellar, and bilateral frontal lobes, with a size of 96.0×82.6×76.0 mm. Before the surgical resection, an Ommaya reservoir was implanted within the tumor cavity. The drainage was continued for 5 days and was 39 to 50 mL (43.80 ± 4.67 mL). Following the tumor shrank, a craniotomy was performed. RESULTS: Following surgical treatment, the CP was entirely removed. The child subsequently developed hypothyroidism and hypocortisolism, for which hormone replacement therapy was administered. No tumor recurrence was observed after 3 years of follow-up. CONCLUSION: The treatment of giant cystic solid CP in children is challenging. Preoperative implantation of the Ommaya reservoir, continuous drainage of cystic fluid, shrinkage of the tumor, and reduction of tumor tension are beneficial for tumor resection.

A Prediction Model for Detecting Dysthyroid Optic Neuropathy Based on Clinical Factors and Imaging Markers of the Optic Nerve and Cerebrospinal Fluid in the Optic Nerve Sheath.

OBJECTIVE: This study aimed to develop and test a model for predicting dysthyroid optic neuropathy (DON) based on clinical factors and imaging markers of the optic nerve and cerebrospinal fluid (CSF) in the optic nerve sheath. METHODS: This retrospective study included patients with thyroid-associated ophthalmopathy (TAO) without DON and patients with TAO accompanied by DON at our hospital. The imaging markers of the optic nerve and CSF in the optic nerve sheath were measured on the water-fat images of each patient and, together with clinical factors, were screened by Least absolute shrinkage and selection operator. Subsequently, we constructed a prediction model using multivariate logistic regression. The accuracy of the model was verified using receiver operating characteristic curve analysis. RESULTS: In total, 80 orbits from 44 DON patients and 90 orbits from 45 TAO patients were included in our study. Two variables (optic nerve subarachnoid space and the volume of the CSF in the optic nerve sheath) were found to be independent predictive factors and were included in the prediction model. In the development cohort, the mean area under the curve (AUC) was 0.994, with a sensitivity of 0.944, specificity of 0.967, and accuracy of 0.901. Moreover, in the validation cohort, the AUC was 0.960, the sensitivity was 0.889, the specificity was 0.893, and the accuracy was 0.890. CONCLUSIONS: A combined model was developed using imaging data of the optic nerve and CSF in the optic nerve sheath, serving as a noninvasive potential tool to predict DON.

Effects of brining, ultrasound, and ultrasound-assisted brining on quality characteristics of snakehead (Channa argus) fillets.

The change of quality characteristics in snakehead fillets were investigated during brining, ultrasound, and ultrasound-assisted brining processing. Results showed that ultrasound and brine had significantly impact on the tissue microstructure and the color parameter of fillets. Compared to 60-min marination in deionized water, the shear force was reduced by 17.67 g by ultrasound, compared to 80-min marination in deionized water, the shear force was reduced by 28.68 g by brine. Brine significantly increased the water-holding capacity of fish fillets. Ultrasound resulted in increased random coils, ß-turn and hydrophobic interaction, while brine significantly promoted the formation of the α-helix structure. The increase of the thermal stability of the myosin head was due to the synergistic effect of ultrasound and brine, but the decrease of the thermal stability of actin only associated with brine. The study provides the reference for the application of ultrasound-assisted brining technology to aquatic industry. Supplementary Information: The online version contains supplementary material available at 10.1007/s10068-023-01506-8.

Metabolomics and microbiomics revealed the combined effects of different-sized polystyrene microplastics and imidacloprid on earthworm intestinal health and function.

The coexistence of pesticides and plastic film residues in agricultural soils poses a significant threat to soil organisms due to their potential long-term contamination and combined toxic effects. Specifically, earthworms are at risk of simultaneously ingesting residual pesticides and microplastics, yet the impact of this combined exposure on their intestinal health and function remains poorly understood. In this study, earthworm (Eisenia fetida) were single and combined exposed to three particle sizes (10 µm, 500 µm, and 2 mm) of polyethylene microplastics (PE MPs) and imidacloprid (IMI) for 28 days, respectively. Our findings underscore that compared to single exposures, the combined exposure inflicted more profound injuries on intestinal tissues and elicited a heightened activation of intestinal digestive enzymes. Furthermore, the combined exposure significantly perturbed the relative abundance of several pivotal metabolic-associated gut microbiota, fostering an enrichment of pathogenic species. Metabolomics analysis showed combined exposure increased differential metabolites, disrupting amino acid, fatty acid, and carbohydrate metabolism in earthworm intestines, potentially hindering nutrient absorption and causing toxic metabolite accumulation. An integrated omics analysis implies that combined exposures have the potential to disrupt the relative abundance of crucial gut microbiota in earthworms, thereby altering their intestinal metabolism and subsequently impacting intestinal health and functionality. Overall, the results reveal that combined exposure of IMI and PE MPs exacerbate the negative effects on earthworm gut health, and this study holds significant implications for the holistic understanding of the combined toxic effects of microplastics and pesticide on soil ecosystems.