Research Article
Effect of Stress in Unilateral Sudden Sensorineural Hearing Loss Patients
Issue:
Volume 13, Issue 1, March 2025
Pages:
1-6
Received:
14 January 2025
Accepted:
26 January 2025
Published:
17 February 2025
DOI:
10.11648/j.ijmi.20251301.11
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Abstract: The aim of this study is to investigated the relationship between stress markers and Sudden Sensorineural Hearing Loss patients. This retrospective study was approved by the Renmin Hospital of Wuhan University. We collected Magnetic resonance imaging (MRI) images and data of 41 patients in our hospital. All patients underwent conventional MRI. An independent sample t-test was utilized for continuous data, and a chi-square test was employed for categorical data. We utilized logistic and linear regression analyses to evaluate the relationship between Sudden Sensorineural Hearing Loss (SSNHL) and clinical variables for constant variables (p <0.05 was considered statistically significant). The logistic regression shows all these factors (stress level, neurophil-to-lymphocyte ratio (NLR), Platelet-to-lymphocyte ratio (PLR), and White blood cell count (WBC)) play a significant role in SSNHL. Odds ratio (OR) value was 10.06 for stress (95% CI:2.81-36.08; p<0.001), 1.47 for PSS (95%CI:1.31-1.80); p<0.001), 50.73 for NLR (95%CI: 2.76-931.15; p<0.001), 1.03 for PLR (95%CI:1.01-1.05; p<0.05), 1.87 for WBC (95%CI:1.34-2.63; p<0.001). In SSNHL patients, a significant relationship was observed with NLR (F-statistic=9.05, p-value= 0.003), WBC (F-statistic= 14.51, p-value= 0.0003), PLR (F-statistic= 5.6, p-value = 0.02). Our study has provided substantial evidence supporting the involvement of stress and systemic inflammation in the development of sudden sensorineural hearing loss (SSNHL). We found that elevated stress levels and inflammatory markers such as NLR, PLR, and WBC were statistically significant factors related to the disease. This suggests that these markers could be utilized for both diagnosis and prognosis. Additionally, our research explored the relationship between inflammatory markers and the severity of SSNHL. Consequently, targeting inflammation may offer therapeutic benefits for patients with SSNHL, potentially aiding in the prevention of its onset and the reduction of severity.
Abstract: The aim of this study is to investigated the relationship between stress markers and Sudden Sensorineural Hearing Loss patients. This retrospective study was approved by the Renmin Hospital of Wuhan University. We collected Magnetic resonance imaging (MRI) images and data of 41 patients in our hospital. All patients underwent conventional MRI. An i...
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Research Article
Sparse-view CT Image Reconstruction Using the Logarithmic Barrier Based Interior Point Method
Heping Xu*
Issue:
Volume 13, Issue 1, March 2025
Pages:
7-19
Received:
19 January 2025
Accepted:
5 February 2025
Published:
20 February 2025
DOI:
10.11648/j.ijmi.20251301.12
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Views:
Abstract: This work aims to develop a logarithmic barrier based interior point method capable of reconstructing CT images using under-sampled sinogram data. Unlike other compressed sensing methods, the proposed method obviates the need of the regularization parameter in the objective function. Feasibility of the algorithm and quality of the reconstructed images were examined. Methods: The sinogram data were simulated through Radon-transforming clinical CT images. The noise was added based on the Poisson and Gaussian models. The basic elements of the proposed method, logarithmic barrier (LB) method, were introduced. The relative Root-Mean-Squared Error (rRMSE) was used to evaluate the image reconstruction accuracy. The noise of the images was assessed using the Peak Signal-to-Noise Ratio (PSNR) and Mean Squared Error (MSE). Results: The PSNR, rRMSE, MSE were compared among fvFBP (full-view Filtered-Backprojection), svFBP (sparse-view Filtered-Backprojection), BB (Barzilai-Borwein), and LB methods for brain, head and neck, lung, prostate, and leg sites. The reconstructed images from svFBP suffered severe streak artifacts. The LB method was capable of reconstructing images of quality comparable to quality of those images obtained from other compressed sensing-based methods such as the BB method. Conclusion: It has been demonstrated that the compressed sensing technique based on the logatirhmic barrier method is capable of recovering satisfactory images from under-sampled projection data. This method obviates the need of the regularization parameter that specifies the relative weight between the data fidelity and total variation terms in the objective function. Insights have been gained as to implementing the proposed method for clinical imaging applications.
Abstract: This work aims to develop a logarithmic barrier based interior point method capable of reconstructing CT images using under-sampled sinogram data. Unlike other compressed sensing methods, the proposed method obviates the need of the regularization parameter in the objective function. Feasibility of the algorithm and quality of the reconstructed ima...
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