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Articles 1 - 11 of 11

Full-Text Articles in Radiation Medicine

A Novel Method For Measuring The Burden Of Breast Cancer In Neighborhoods, Russell K. Mcintire, Hee-Soon Juon, Scott W. Keith, Nicole L. Simone, Dexter Waters, Eleanor Lewis, Charnita Zeigler-Johnson Apr 2023

A Novel Method For Measuring The Burden Of Breast Cancer In Neighborhoods, Russell K. Mcintire, Hee-Soon Juon, Scott W. Keith, Nicole L. Simone, Dexter Waters, Eleanor Lewis, Charnita Zeigler-Johnson

College of Population Health Faculty Papers

Community-based breast cancer prevention efforts often focus on women who live in the same neighborhoods, as they tend to have similar demographic characteristics, health behaviors, and environmental exposures; yet little research describes methods of selecting neighborhoods of focus for community-based cancer prevention interventions. Studies frequently use demographics from census data, or single breast cancer outcomes (e.g., mortality, morbidity) in order to choose neighborhoods of focus for breast cancer interventions, which may not be optimal. This study presents a novel method for measuring the burden of breast cancer among neighborhoods that could be used for selecting neighborhoods of focus. In this …


What After Bcg Fails In Non-Muscle Invasive Bladder Cancer?, M Hammad Ather Feb 2022

What After Bcg Fails In Non-Muscle Invasive Bladder Cancer?, M Hammad Ather

Section of Urology

No abstract provided.


Investigating The Uncertainties In Ct Non-Small Cell Lung Cancer Radiomics, Gary Ge Jan 2022

Investigating The Uncertainties In Ct Non-Small Cell Lung Cancer Radiomics, Gary Ge

Theses and Dissertations--Radiation Medicine

Radiomics is a technique that extracts quantitative features, termed radiomic features, from medical images using data-characterization algorithms. These radiomic features can be used to identify tissue characteristics and radiologic phenotyping that are not observable by clinicians in a non-invasive, low-cost manner, potentially generating image biomarkers for clinical decision. To date, there are still many uncertainties involved in radiomics which limit its clinical implementation. Herein, we propose to explore the impact of each component in the radiomics pipeline on predicting clinical outcomes. In Chapter II, we conduct a thorough review of CT lung cancer radiomics studies to examine the typical feature …


Identification Of Biomarkers For The Prediction Of Radiation Toxicity In Prostate Cancer Patients, Daniel Cullen Jan 2022

Identification Of Biomarkers For The Prediction Of Radiation Toxicity In Prostate Cancer Patients, Daniel Cullen

Doctoral

The success of radiotherapy in tumour control depends on the total dose given. However, the tolerance of the normal tissues surrounding the tumour limits this dose. It is not known why some patients develop radiation toxicity and, currently, it is not possible to predict before treatment which patients will experience adverse effects. Thus, there is an unmet clinical need for a new test to identify patients at risk of radiation toxicity. The aim of this study was to determine if spectral variations in blood lymphocytes from PCa patients may suggest Raman spectral bands that could be used in future research …


Modeling Of Island Block Scatter For Intensity Modulated Bolus Electron Conformal Therapy, Joseph G. Scotto Jul 2021

Modeling Of Island Block Scatter For Intensity Modulated Bolus Electron Conformal Therapy, Joseph G. Scotto

LSU Master's Theses

Purpose: Bolus electron conformal therapy (BECT) benefits treatment of the post-mastectomy chest wall, head and neck, paraspinal muscles, and extremities. Patient dose heterogeneities caused by bolus can be reduced through intensity modulation (IM) across the incident electron beam. This requires passive radiotherapy intensity modulation for electrons (PRIME) devices, which utilize tungsten pins (island blocks) imbedded in machinable foam. IM-BECT treatment planning requires accurate dose calculation using the pencil beam redefinition dose algorithm (PBRA). Currently, the PBRA models island blocks as perfect collimators. This work explores models to account for electrons scattering into and out of the sides of island blocks. …


A Deep Learning U-Net For Detecting And Segmenting Liver Tumors, Vidhya Cardozo Jan 2021

A Deep Learning U-Net For Detecting And Segmenting Liver Tumors, Vidhya Cardozo

Theses and Dissertations

Visualization of liver tumors on simulation CT scans is challenging even with contrast-enhancement, due to the sensitivity of the contrast enhancement to the timing of the CT acquisition. Image registration to magnetic resonance imaging (MRI) can be helpful for delineation, but differences in patient position, liver shape and volume, and the lack of anatomical landmarks between the two image sets makes the task difficult. This study develops a U-Net based neural network for automated liver and tumor segmentation for purposes of radiotherapy treatment planning. Non-contrast simulation based abdominal CT axial scans of 52 patients with primary liver tumors were utilized. …


Sub-Region Based Radiomics Analysis For Survival Prediction In Oesophageal Tumours Treated By Definitive Concurrent Chemoradiotherapy, Congying Xie, Pengfei Yang, Xuebang Zhang, Lei Xu, Xiaoju Wang, Xiadong Li, Luhan Zhang, Ruifei Xie, Ling Yang, Zhao Jing, Hongfang Zhang, Lingyu Ding, Yu Kuang, Tianye Niu, Shixiu Wu May 2019

Sub-Region Based Radiomics Analysis For Survival Prediction In Oesophageal Tumours Treated By Definitive Concurrent Chemoradiotherapy, Congying Xie, Pengfei Yang, Xuebang Zhang, Lei Xu, Xiaoju Wang, Xiadong Li, Luhan Zhang, Ruifei Xie, Ling Yang, Zhao Jing, Hongfang Zhang, Lingyu Ding, Yu Kuang, Tianye Niu, Shixiu Wu

Health Physics & Diagnostic Sciences Faculty Publications

Background: Evaluating clinical outcome prior to concurrent chemoradiotherapy remains challenging for oesophageal squamous cell carcinoma (OSCC) as traditional prognostic markers are assessed at the completion of treatment. Herein, we investigated the potential of using sub-region radiomics as a novel tumour biomarker in predicting overall survival of OSCC patients treated by concurrent chemoradiotherapy. Methods: Independent patient cohorts from two hospitals were included for training (n = 87) and validation (n = 46). Radiomics features were extracted from sub-regions clustered from patients' tumour regions using K-means method. The LASSO regression for ‘Cox’ method was used for feature selection. The survival prediction model …


An Evaluation Of The Supply And Demand Of Radiation Oncology Medical Physicists In The United States., Christine Marie Swanson May 2019

An Evaluation Of The Supply And Demand Of Radiation Oncology Medical Physicists In The United States., Christine Marie Swanson

Electronic Theses and Dissertations

Background: This dissertation is a mixed methods evaluation of the radiation oncology medical physics workforce in the United States. Radiation oncology medical physicists serve a vital role in the safe treatment of patients with radiation therapy. While cancer incidence continues to rise, the pathways to board certification in radiation oncology medical physics continue to narrow causing a potential shortage of radiation oncology physicists in the United States. While there is no lack of data about the medical physics community it has scarcely been used to evaluate the current state of the workforce. In order to ensure patient safety, appropriate physics …


Nfatc3 And Vip In Idiopathic Pulmonary Fibrosis And Chronic Obstructive Pulmonary Disease, A. M. Szema, E. Forsyth, B. Ying, S. A. Hamidi, J. J. Chen, S. Hwang, J. C. Li, D. S. Dwyer, J. M. Ramiro-Diaz, L. V. Gonzalez Bosc, +1 Additional Author Jan 2017

Nfatc3 And Vip In Idiopathic Pulmonary Fibrosis And Chronic Obstructive Pulmonary Disease, A. M. Szema, E. Forsyth, B. Ying, S. A. Hamidi, J. J. Chen, S. Hwang, J. C. Li, D. S. Dwyer, J. M. Ramiro-Diaz, L. V. Gonzalez Bosc, +1 Additional Author

Journal Articles

No abstract provided.


Ncrp Program Area Committee 7: Radiation Education, Risk Communication, Outreach, And Policy, S. M. Becker, P. A. Locke Feb 2016

Ncrp Program Area Committee 7: Radiation Education, Risk Communication, Outreach, And Policy, S. M. Becker, P. A. Locke

Community & Environmental Health Faculty Publications

Recognizing the central importance of effective communication, education, and policy across all of the domains of radiation safety and radiation protection, the National Council on Radiation Protection and Measurements (NCRP) established a new committee in 2013. Program Area Committee 7 (PAC 7) was created to develop projects and provide guidance on Radiation Education, Risk Communication, Outreach, and Policy. After identifying individuals with relevant expertise who were willing to serve, the Committee held its inaugural meeting in 2014. In 2015, the Committee increased its membership and began carrying out an expanded program of activities. One area of activity has involved providing …


Identification And Ranking Of Stressors In Nuclear Medicine Technology, Scott R. Sechrist Jul 1989

Identification And Ranking Of Stressors In Nuclear Medicine Technology, Scott R. Sechrist

Community & Environmental Health Theses & Dissertations

The purpose of this study was to identify the most significant stressors in the field of nuclear medicine technology. A sample of convenience of 25 nuclear medicine technologists was used to generate a list of 35 stressors specific to the occupation. Sixty-three randomly selected nuclear medicine technologists responded to a mailed questionnaire which asked the technologist to assess the relative stressfulness of each of the 35 items on a scale of "0 to 1000". Data from the 59 valid responses indicated that equipment malfunctions, add on exams, uncooperative physicians, lack of staff, and uncooperative patients were the most significant stressors …