Background And Purpose: Microscopic disease (MSD) left after tumorectomy is a major cause of local recurrence in breast conserving therapy (BCT). However, the effect of microscopic disease and RT dose on tumor control probability (TCP) was seldom studied quantitatively. A simulation framework was therefore constructed to explore the relationship between tumor load, radiation dose and TCP.
Materials And Methods: First, we modeled total disease load and microscopic spread with a pathology dataset. Then we estimated the remaining disease load after tumorectomy through surgery simulation. The Webb-Nahum TCP model was extended by clonogenic cell fraction to model the risk of local recurrence. The model parameters were estimated by fitting the simulated results to the observations in two clinical trials.
Results: Higher histopathology grade has a strong correlation with larger MSD cell quantity. On average 12.5% of the MSD cells remained in the patient's breast after surgery but varied considerably among patients (0-100%); illustrating the role of radiotherapy. A small clonogenic cell fraction was optimal in our model (one in every 2.7*10(6)cells). The mean radiosensitivity was estimated at 0.067Gy(-1) with standard deviation of 0.022Gy(-1).
Conclusion: A relationship between radiation dose and TCP was established in a newly designed simulation framework with detailed disease load, surgery and radiotherapy models.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.radonc.2014.03.004 | DOI Listing |
Alzheimers Dement
December 2024
Critical Path for Alzheimer's Disease (CPAD) Consortium, Critical Path institute, Tucson, AZ, USA.
Background: To help improve the Alzheimer's disease (AD) therapeutics research and development process, the Critical Path for Alzheimer's Disease (CPAD) Consortium at the Critical Path Institute (C-Path) provides a neutral framework for the drug development industry, regulatory agencies, academia, and patient advocacy organizations to collaborate. CPAD's extensive track record of developing regulatory-grade quantitative drug development tools motivates sponsors to share patient-level data and neuroimages from clinical trials. CPAD leverages these data and uses C-Path's core competencies in data management and standardization, quantitative modeling, and regulatory science to develop tools that help de-risk decision making in AD drug development.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Department of Biomedical Engineering, McGill University, Montreal, QC, Canada.
Background: Randomized placebo-controlled trials (RCTs) are the gold standard to evaluate efficacy of new drug treatments for Alzheimer's disease. For example, the United States FDA approved the brain amyloid-targeting drug lecanemab following CLARITY AD, Biogen and Eisai's Phase 3 RCT. However, recruiting enough participants for a high-powered and demographically representative trial is difficult and expensive.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
University of Tennessee, Knoxville, TN, USA.
Background: The prevalence of Alzheimer's disease and related dementias (ADRD) presents a growing public health challenge. This study introduces an innovative approach to dementia care through the development of AI agents that simulate the interactions between people living with dementia (PLWD) and their caregivers during activities of daily living (ADLs).
Method: The study employs ChatGPT (GPT4) large language models to create AI agents representing both PLWD and interventionists.
J Chem Theory Comput
January 2025
Beijing National Laboratory for Molecular Sciences, State Key Laboratory of Polymer Physics and Chemistry, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, P. R. China.
The accuracy and efficiency of a coarse-grained (CG) force field are pivotal for high-precision molecular simulations of large systems with complex molecules. We present an automated mapping and optimization framework for molecular simulation (AMOFMS), which is designed to streamline and improve the force field optimization process. It features a neural-network-based mapping function, DSGPM-TP (deep supervised graph partitioning model with type prediction).
View Article and Find Full Text PDFJ Phys Chem Lett
January 2025
Key Laboratory of Precision and Intelligent Chemistry, School of Chemistry and Materials Science, CAS Key Laboratory of Materials for Energy Conversion, CAS Center for Excellence in Nanoscience, University of Science and Technology of China, Hefei, Anhui 230026, P.R. China.
Half-metallicity, enabling 100% spin polarization, is pivotal for spintronics but remains challenging to achieve in low-dimensional materials. Using first-principles calculations, we theoretically propose an experimentally feasible two-dimensional (2D) metal-organic framework (MOF) magnetic semiconductor, Cr(TCNB) (TCNB = 1,2,4,5-tetracyanobenzene). This monolayer can be exfoliated from a Ag(100) substrate due to its low exfoliation energy of 0.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!