Maxillary Sinusitis Following Orthognathic Surgery: Should It Be Considered Odontogenic Sinusitis?

Maxillary sinusitis is a recognized complication following dental procedures, but its occurrence after orthognathic surgery, such as Le Fort osteotomies, remains less documented. This case report presents a 58-year-old female who developed unilateral maxillary sinusitis 23 years post-orthognathic surgery. The patient was asymptomatic, aside from occasional cacosmia, and was incidentally found to have sinus opacification on a computed tomography (CT) scan performed for implant-prosthetic rehabilitation.

Cyanobacteria's power trio: auxin, siderophores, and nitrogen fixation to foster thriving agriculture.

Cyanobacteria, often overlooked in traditional agriculture, are gaining recognition for their roles in enhancing plant growth and soil health through diverse mechanisms. This review examines their multifaceted contributions to agricultural systems, highlighting their proficiency in auxin production, which promotes plant growth and development. Additionally, we examined cyanobacteria's ability to produce siderophores that enhance iron absorption and address micronutrient deficiencies, as well as their capacity for nitrogen fixation, which converts atmospheric nitrogen into a form that plants can utilize, all with the goal of reducing reliance on synthetic fertilizers.

Assessing the response lettuce and arugula to MC-LR-contaminated water irrigation: photosynthetic changes and antioxidant defense.

Irrigation of crops with cyanotoxin-contaminated water poses a significant risk to human health. The direct phytotoxic effects of microcystin-LR (MC-LR), one of the most toxic and prevalent microcystin variants in water bodies, can induce physiological stress and hinder crop development and production. This study investigated the impact of environmentally relevant concentrations of MC-LR (1 to 10 µg L) on photosynthetic parameters and antioxidant response of lettuce (Lactuca sativa L.

Reliability of large language models for advanced head and neck malignancies management: a comparison between ChatGPT 4 and Gemini Advanced.

Purpose: This study evaluates the efficacy of two advanced Large Language Models (LLMs), OpenAI's ChatGPT 4 and Google's Gemini Advanced, in providing treatment recommendations for head and neck oncology cases. The aim is to assess their utility in supporting multidisciplinary oncological evaluations and decision-making processes.

Methods: This comparative analysis examined the responses of ChatGPT 4 and Gemini Advanced to five hypothetical cases of head and neck cancer, each representing a different anatomical subsite.