Publications by authors named "Claudia Seguin"
Purpose: To calibrate Cancer Intervention and Surveillance Modeling Network (CISNET)'s SimCRC, MISCAN-Colon, and CRC-SPIN simulation models of the natural history colorectal cancer (CRC) with an emulator-based Bayesian algorithm and internally validate the model-predicted outcomes to calibration targets.
Methods: We used Latin hypercube sampling to sample up to 50,000 parameter sets for each CISNET-CRC model and generated the corresponding outputs. We trained multilayer perceptron artificial neural networks (ANNs) as emulators using the input and output samples for each CISNET-CRC model.
Purpose: We evaluated the potential cost-effectiveness of combined magnetic resonance imaging (MRI) and endoscopic ultrasound (EUS) screening for pancreatic ductal adenocarcinoma (PDAC) among populations at high risk for the disease.
Methods: We used a microsimulation model of the natural history of PDAC to estimate the lifetime health benefits, costs, and cost-effectiveness of PDAC screening among populations with specific genetic risk factors for PDAC, including and , , , Lynch syndrome, , , and . For each high-risk population, we simulated 29 screening strategies, defined by starting age and frequency.
Objective: Incidentally detected gallbladder polyps are commonly encountered when performing upper abdominal ultrasound. Our purpose was to estimate the life expectancy (LE) benefit of ultrasound-based gallbladder surveillance in patients with small (6-7 to <10 mm), incidentally detected gallbladder polyps, accounting for patient sex, age, and comorbidity level.
Methods: We developed a decision-analytic Markov model to evaluate hypothetical cohorts of women and men with small gallbladder polyps, with varying age (66-80 years) and comorbidity level (none, mild, moderate, severe).
Purpose: To calibrate Cancer Intervention and Surveillance Modeling Network (CISNET) 's SimCRC, MISCAN-Colon, and CRC-SPIN simulation models of the natural history colorectal cancer (CRC) with an emulator-based Bayesian algorithm and internally validate the model-predicted outcomes to calibration targets.
Methods: We used Latin hypercube sampling to sample up to 50,000 parameter sets for each CISNET-CRC model and generated the corresponding outputs. We trained multilayer perceptron artificial neural networks (ANN) as emulators using the input and output samples for each CISNET-CRC model.
Article Synopsis
- - First-degree relatives (FDRs) of pancreatic ductal adenocarcinoma (PDAC) patients face a higher risk, which can be influenced by specific genetic variants, leading the study to explore genetic testing for targeted MRI screening.
- - A microsimulation model estimated potential life expectancy (LE) gains from screening based on genetic testing outcomes, showing substantial benefits for mutation carriers when optimizing screening strategies, particularly in women and men with certain variants.
- - Overall, genetic testing helps identify FDRs who would benefit most from PDAC screening, as those without positive variants or who don’t get tested see minimal improvements in life expectancy.
Importance: The US Preventive Services Task Force (USPSTF) is updating its 2016 colorectal cancer screening recommendations.
Objective: To provide updated model-based estimates of the benefits, burden, and harms of colorectal cancer screening strategies and to identify strategies that may provide an efficient balance of life-years gained (LYG) from screening and colonoscopy burden to inform the USPSTF.
Design, Setting, And Participants: Comparative modeling study using 3 microsimulation models of colorectal cancer screening in a hypothetical cohort of 40-year-old US individuals at average risk of colorectal cancer.
Background And Aims: Current guidelines recommend surveillance for patients with nondysplastic Barrett's esophagus (NDBE) but do not include a recommended age for discontinuing surveillance. This study aimed to determine the optimal age for last surveillance of NDBE patients stratified by sex and level of comorbidity.
Methods: We used 3 independently developed models to simulate patients diagnosed with NDBE, varying in age, sex, and comorbidity level (no, mild, moderate, and severe).
Purpose: The aim of this study was to estimate effects on life expectancy (LE) of imaging-based ovarian surveillance after detection of incidental postmenopausal ovarian cysts, under different assumptions of patient age, comorbidity level, and cancer risk and detection.
Methods: A decision-analytic Markov model was developed to estimate LE benefits. Hypothetical cohorts of postmenopausal women with simple ovarian cysts were evaluated, with varied age (66-80 years) and comorbidity level (none, mild, moderate, severe).
Purpose: The aim of this study was to identify potential barriers to building a diverse workforce in radiology and radiation oncology by conducting a national survey of physicians in these fields and studying their reported career experiences.
Methods: An electronic survey of ACR members (February 27, 2018, to April 26, 2018) was conducted in which physicians' attitudes about their work environment, relationships, and culture were queried. The aim was to determine if responses differed by gender or race/ethnicity.