Radiomics analysis for distinctive identification of COVID-19 pulmonary nodules from other benign and malignant counterparts.

This observational study investigated the potential of radiomics as a non-invasive adjunct to CT in distinguishing COVID-19 lung nodules from other benign and malignant lung nodules. Lesion segmentation, feature extraction, and machine learning algorithms, including decision tree, support vector machine, random forest, feed-forward neural network, and discriminant analysis, were employed in the radiomics workflow. Key features such as Idmn, skewness, and long-run low grey level emphasis were identified as crucial in differentiation. The model demonstrated an accuracy of 83% in distinguishing COVID-19 from other benign nodules and 88% from malignant nodules. This study concludes that radiomics, through machine learning, serves as a valuable tool for non-invasive discrimination between COVID-19 and other benign and malignant lung nodules. The findings suggest the potential complementary role of radiomics in patients with COVID-19 pneumonia exhibiting lung nodules and suspicion of concurrent lung pathologies. The clinical relevance lies in the utilization of radiomics analysis for feature extraction and classification, contributing to the enhanced differentiation of lung nodules, particularly in the context of COVID-19.

Saussurea costus (Falc.) Lipsch.: a comprehensive review of its pharmacology, phytochemicals, ethnobotanical uses, and therapeutic potential.

Saussurea costus (Falc.) Lipsch., commonly known as costus, is a perennial herb that has been traditionally used in various indigenous medicinal systems across Asia. Its historical prominence in traditional remedies underscores the need to explore its phytochemical composition, pharmacological properties, and potential therapeutic benefits. This review aims to provide a comprehensive overview of the available literature on the pharmacological properties, phytochemical constituents, ethnobotanical uses, and therapeutic potential of S. costus. An exhaustive search was performed across multiple electronic databases, including PubMed/MedLine, Google Scholar, Web of Science, Scopus, TRIP database, and Science Direct. Both experimental and clinical studies, as well as traditional ethnobotanical records, were considered for inclusion. The phytochemical analysis revealed that S. costus contains a plethora of bioactive compounds, including sesquiterpenes, flavonoids, and essential oils, which are responsible for its myriad of medicinal properties. The pharmacological studies have demonstrated its anti-inflammatory, anti-oxidant, anti-cancer, hepatoprotective, and immunomodulatory effects, among others. Ethnobotanical data showcased its extensive use in treating ailments like asthma, digestive disorders, and skin conditions. Some clinical trials also underscore its efficacy in certain health conditions, corroborating its traditional uses. S. costus possesses significant therapeutic potential, largely attributable to its rich phytochemical composition; the convergence of its traditional uses and modern pharmacological findings suggests promising avenues for future research, especially in drug development and understanding its mechanism of action in various ailments.

Radiomics as a non-invasive adjunct to Chest CT in distinguishing benign and malignant lung nodules.

In an observational study conducted from 2016 to 2021, we assessed the utility of radiomics in differentiating between benign and malignant lung nodules detected on computed tomography (CT) scans. Patients in whom a final diagnosis regarding the lung nodules was available according to histopathology and/or 2017 Fleischner Society guidelines were included. The radiomics workflow included lesion segmentation, region of interest (ROI) definition, pre-processing, and feature extraction. Employing random forest feature selection, we identified ten important radiomic features for distinguishing between benign and malignant nodules. Among the classifiers tested, the Decision Tree model demonstrated superior performance, achieving 79% accuracy, 75% sensitivity, 85% specificity, 82% precision, and 90% F1 score. The implementation of the XGBoost algorithm further enhanced these results, yielding 89% accuracy, 89% sensitivity, 89% precision, and an F1 score of 89%, alongside a specificity of 85%. Our findings highlight tumor texture as the primary predictor of malignancy, emphasizing the importance of texture-based features in computational oncology. Thus, our study establishes radiomics as a powerful, non-invasive adjunct to CT scans in the differentiation of lung nodules, with significant implications for clinical decision-making, especially for indeterminate nodules, and the enhancement of diagnostic and predictive accuracy in this clinical context.

Scaffolds of hydroxyl apatite nanoparticles disseminated in 1, 6-diisocyanatohexane-extended poly(1, 4-butylene succinate)/poly(methyl methacrylate) for bone tissue engineering.

Poly(1, 4-butyl succinate) extended 1, 6-diisocyanatohexane (PBSu-DCH) polymers and Polymethylmethacrylate (PMMA) scaffolds decorated with nano hydroxyl apatite have been prepared and characterized for regeneration of bone in cranio-maxillofacial region. Synthesized scaffolds revealed good response in bone regeneration and excellent cell viability in comparison to commercial available glass plate, which lead to better proliferation of MG-63 cell lines. Additionally, they demonstrate high porosity and excellent water retention ability. Moreover, controlled degradation (in pH=7.4) and sustained drug release in pH (4.5 and 7.4) are advantages of these scaffolds to serve as delivery vehicles for therapeutic drugs. Samples also provide the protection against Escherichia coli and Methicillin Resistant Staphylococcus aureus microorganisms which can be helpful for quick recovery of the patient. In-vitro inflammatory response has been assessed via adsorption of human plasma/serum proteins on the surface of the scaffolds. Results suggest that prepared scaffolds have good bone regeneration ability and provide friendly environment for the cell growth with the additional advantage of protection of the surrounding tissues from microbial infection. With all these features, it is speculated that these scaffolds will have wide utility in the area of tissue engineering and regenerative medicine.

Topical Timolol: A Novel Approach in Infantile Hemangioma.

Infantile hemangioma is the most common benign vascular tumor of childhood that has a tendency for spontaneous involution. The aim of this study was to evaluate the efficacy of topical timolol maleate in the treatment of superficial infantile hemangioma and associated side effects during the course of treatment. Four boys and five girls with a median age of 5 months were reviewed at 2-week intervals for a period of 16 weeks. A decrease in size, color, and consistency were noted. Adverse effects caused by timolol maleate were noted and managed. Of nine cases, two patients showed excellent response, five showed good response, one showed partial response, and one had poor response. Topical timolol maleate is safe and effective in the treatment of infantile hemangioma.