Impact Of Sinusitis Research Articles

The impact of sinusitis on dose distribution in a radiotherapy plan by in silico study.

To assess the impact of changes in sinus aeration on dose variation in nasopharyngeal cases using a single beam with various field sizes and real patient computed tomography (CT) images. The calculations were carried out on a computer equipped with an Intel Xeon (R) Gold 5118 processor operating at 2.30 GHz in 2022 at Taibah University, Al Madinah Al Munawwarah for a retrospective nasopharyngeal case. At the patient level, the impact on dose distribution was examined for different field sizes by comparing the percentage depth dose. The dose discrepancy was evaluated by comparing the dose delivered without considering the anatomical changes observed in the initial fraction to the dose adjusted to account for these changes using a 2D gamma analysis. With a criterion of 1% dose difference and 1mm distance to agreement, the gamma level for analysis was set at 95%. The study findings indicated that the observed effect diminished by approximately 50% for both 5cm x 5cm and 10cm x 10cm field sizes compared to the 3cm x 3cm size, where there was an overlap between the planning target volume and sinusitis. The study concluded that the impact of dose discrepancy was more pronounced in smaller field sizes.

HRSHO: A hybrid rain optimized spotted hyena optimizer for efficient feature selection in CNN-based sinusitis classification

The optimal classification of sinusitis is a critical need in medical field due to prevalence and impact of sinusitis on individuals' health. Sinusitis diagnosis has relied on clinical examination, patient history and imaging techniques such as computed tomography scans or magnetic resonance imaging. With advancements in artificial intelligence and machine learning, there has been growing interest in developing automated and data-driven approaches for sinusitis classification. The proposed Deep Learning (DL) based detection model uses Adaptive Gaussian Notch Filter (AGNF) for pre-processing the input CT scans of paranasal sinus. Using adaptive window size variation, AGNF defuses noisy peaks in input image. With the application of Recurrent Neural Network (RNN), relevant Region of Interests (ROIs) that buttress the accurate sinusitis classification are segmented separately. The critical features including contrast, ASM, energy, dissimilarity and homogeneity are extracted from segmented image using Gray-Level Co-occurrence Matrix (GLCM). A novel hybrid feature selection algorithm combining Spotted Hyena Optimization (SHO) and Rain Optimization Algorithm (ROA) is introduced in this work for supporting optimal classification of sinusitis. The proposed Hybrid Rain Optimized Spotted Hyena Optimizer (HRSHO) seeks to identify the most salient and discriminative features among extracted set, thereby reducing feature dimensionality and improving classification performance. The proposed DL based sinusitis is examined and executed in Python software. Moreover, from the derived results it is noted that proposed HRSHO operates as an excellent feature selection technique, as it selects minimum number of features by excluding redundant features with significantly higher accuracy and minimum computational cost.

Occurrence and impact of sinusitis in patients with asthma and/or allergic rhinitis

Objective: The occurrence of radiological sinusitis in patients with asthma without any obvious nasal symptoms could possibly increase the severity of asthma. We investigated the occurrence and impact of sinusitis on computed tomography of the paranasal sinuses (CT-PNS) in patients with asthma and/or allergic rhinitis. Effect of sinusitis on the quality of life (QoL) was also assessed. Methods: All subjects underwent spirometry with reversibility, CT-PNS, intradermal test against common aeroallergens and responded to Symptom Severity Score and Rhinosinusitis Disability Index (RSDI). Of the 216 consecutive patients, 27 had asthma without nasal symptoms (Group 1), 58 had asthma with allergic rhinitis (Group 2) and 131 had allergic rhinitis (Group 3). Thirty normal healthy controls without atopy were also included (Group 4). Results: 20/27 (74%) patients in Group 1 had sinusitis on CT-PNS. 48/58 (82%) patients in Group 2 and 88/131 (67%) patients in Group 3 had chronic rhinosinusitis (CRS) as confirmed on CT-PNS. 6/30 (20%) healthy controls in Group 4 had mucosal thickening. Asthmatics with radiological sinusitis in Group 1 and with CRS in Group 2 had significantly lower FEV1, FEV1/FVC ratio, were more symptomatic and had a greater impairment of QoL. The mean sinus severity score was significantly higher in Group 2. In Group 3, sinusitis occurred significantly higher in “blockers” than “sneezers-runners” (41/79 versus 47/52, p = 0.045). Conclusions: Occurrence of radiological sinusitis on CT-PNS in asthmatics without nasal symptoms and CRS in allergic rhinitis with or without asthma increases the severity of the disease and affects the QoL.

Health-related quality of life in patients with sinusitis.

The goal of treatment for patients with sinusitis is the prompt and complete relief of symptoms and consequent improvement in health-related quality of life (HRQL). HRQL has been defined as the component of overall quality of life, determined primarily by the person's health, which can be influenced by clinical interventions. HRQL is especially useful for conditions like sinusitis in which there is no gold-standard diagnostic test, and "objective" tests correlate poorly with disease severity and outcomes. Patients with sinusitis have measurable, significant decrements in HRQL. Many studies evaluating treatment efficacy in patients with sinusitis have used unvalidated HRQL measures, making their findings, at best, difficult to interpret or, at worst, potentially biased. In this article, we review the definition of HRQL, the meaning and importance of validating HRQL measures, the impact of sinusitis on HRQL, and validated measures of HRQL for use in research and in clinical practice.

Impact of sinusitis in cystic fibrosis

The cause of cystic fibrosis has been determined to be faulty ionic transport of chloride across the apical membrane of epithelial cells lining exocrine glands. The subnormal ionic transport leads to dehydration of extra cellular fluids and the development of thickened inspissated mucous secretions. The vast majority of patients with cystic fibrosis develop sinus disease with panopacification of the sinuses present in 90% to 100% of patients older than 8 months of age. Indications for surgical management of sinusitis in children with cystic fibrosis include (1) chronic nasal obstruction with mouth breathing, (2) chronic purulent draining nasal secretions unresponsive to medical treatment, and (3) persistent headaches thought to be related to sinusitis. Operative therapy is based on computerized tomographic scan findings and can be performed endoscopically. Postoperative management is critical for ensuring successful surgical results. Antibiotics, topical steroids, and cleansing of the surgical fields must be performed on a regular basis to ensure adequate healing. The impact of sinusitis on the cystic fibrosis population is significant. Approximately 20% of patients will eventually require surgical treatment of their sinuses. Chronic sinusitis may cause deformities of the external nasal skeleton, a loss of the sense of smell, and headaches.