Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 11 of 11 for “"Low-dose computed tomography"”.
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Adolescent Idiopathic Scoliosis. The Role of Low Dose Computed Tomography.
… in daily clinical practice means high radiation dose to these young individuals. All examinations included in this thesis were performed on a 16-slice CT scanner. Examination of the chest phantom in paper I showed that the radiation dose of the spine (including 15 vertebrae) was 20 times lower …
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THE PREVALENCE AND PREDICTION OF PULMONARY FIBROSIS IN AN
… during a face-to-face interview along with a low-dose computed tomography (LDCT) of the thorax. Of them, 65 workers (10.7%, 95%CI 8.12—12.24) had LDCT-detected pulmonary fibrosis. The model predicting fibrosis included the variables age, smoking (dichotomized), post FVC % splines and post- …
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A 3D Deep Learning Architecture for Denoising Low-Dose CT Scans
… designed to improve the image quality of low-dose computed tomography (LDCT) scans. Although LDCT scans are advantageous for reducing radiation exposure, they inherently suffer from reduced image quality. Our novel 3D DL architecture addresses this issue by effectively enhancing LDCT …
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Sybil: Predicting Future Lung Cancer Risk From a Single Low-Dose Chest Computed Tomography
Low-dose computed tomography (LDCT) for Jung cancer screening is effective, though most eligible people are not being screened. Tools that provide personalized future cancer risk assessment could focus approaches toward those most likely to benefit. We hypothesize that a deep learning model …
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Improving Lung Cancer Risk Prediction: Integration of Novel Predictors and Modelling Using Machine Learning Random Forest versus the Validated PLCOm2012 Logistic Regression Model
… leading to poor prognosis. LC screening using low-dose computed tomography is shown to be effective for early detection of LC to reduce LC mortality. The goal of this study was to develop a superior LC risk prediction model compared to the current established Prostate, Lung, Colorectal, Ovarian …
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Imaging Based Models to Improve Lung Cancer Diagnosis
… lung cancer from chest radiographs (x-rays) and computed tomography (CT) scans, as well as accurately estimate the risk of future lung cancer, all while factoring in the importance of model explainability in clinical settings. Recent advances in deep learning have led to increased applications of …
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Implementation of a standardized lung cancer screening protocol at a central Michigan internal medicine practice : a DNP project
… smoking cessation and early detection via low-dose CT scan to reduce mortality. Despite a larger, more diverse screening population specified in the 2014 USPSTF guidelines for lung cancer detection, utilization of standardized guidelines is inconsistent and varied amongst primary care …
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Difficulties and challenges in implementing screening for lung cancer in high-risk group patients in the respiratory clinic at Groote Schuur Hospital
… cancer. Screening high risk groups with annual low dose computed tomography (LDCT) has demonstrated the potential benefit of being able to identify individuals with early-stage disease and offer potential curative therapy from this deadly disease. Objective: To determine the barriers and …
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Survival analysis for lung cancer patients
… the event of death by lung cancer from the first low-dose computed tomography (LDCT) scan. The model using both clinical and radiomic features shows relative performance improvements compared to the models using only the clinical information, signifying the importance of additional radiomic …
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Exploring AI Applications in Low-Dose CT Machines to Generate Better Lung Cancer Spatiotemporal Statistics: San Diego County Case Study
… of our society. According to the literature, low-dose computed tomography (LDCT) machines are recommended among the other methods for diagnosing and detecting lung cancer. However, this exploratory study investigates the possibility of quickly updating outdated spatiotemporal data statistics. …
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Analysis of the Stakeholder Derived Conceptual Models and Exploration of Lung Cancer Screening Barriers in a Medically Underserved Area
… Trial (NLST) found that annual screening with Low-Dose CT (LDCT) for asymptomatic patients aged 55 to 74, with a smoking history of at least 30 pack-years, and smokers who quit less than 15 years ago, had a 20% reduction in risk of death from lung cancer. Findings of this trial resulted in that …