Personalized mid-course fdg-pet based adaptive treatment planning for non-small cell lung cancer using machine learning and optimization

A Ajdari, Z Liao, R Mohan, X Wei… - Physics in Medicine & …, 2022 - iopscience.iop.org
Objective. Traditional radiotherapy (RT) treatment planning of non-small cell lung cancer
(NSCLC) relies on population-wide estimates of organ tolerance to minimize excess toxicity …

Imputing radiobiological parameters of the linear-quadratic dose-response model from a radiotherapy fractionation plan

A Ghate - Physics in Medicine & Biology, 2020 - iopscience.iop.org
The objective in cancer radiotherapy is to maximize tumor-kill while limiting toxic effects of
radiation dose on nearby organs-at-risk (OAR). Given a fixed number of treatment sessions …

Value of intermediate imaging in adaptive robust radiotherapy planning to manage radioresistance

A Roy, SS Dabadghao, A Marandi - Annals of Operations Research, 2024 - Springer
In radiotherapy, uncertainties in tumor radioresistance and its progression can degrade the
efficacy of deterministic treatments. While a robust methodology can overcome this, it often …

[图书][B] Optimal Fractionation in Radiotherapy

A Ghate - 2023 - books.google.com
This monograph provides a mathematically rigorous overview of optimal fractionation in
cancer radiotherapy, which seeks to address the fundamental tradeoff of maximizing tumor …

Adaptive treatment-length optimization in spatiobiologically integrated radiotherapy

A Ajdari, A Ghate, M Kim - Physics in Medicine & Biology, 2018 - iopscience.iop.org
Recent theoretical research on spatiobiologically integrated radiotherapy has focused on
optimization models that adapt fluence-maps to the evolution of tumor state, for example, cell …

Spatiotemporal radiotherapy planning using a global optimization approach

A Adibi, E Salari - Physics in Medicine & Biology, 2018 - iopscience.iop.org
This paper aims at quantifying the extent of potential therapeutic gain, measured using
biologically effective dose (BED), that can be achieved by altering the radiation dose …

Response-guided dosing in cancer radiotherapy

A Ghate - Tutorials in Operations Research: Emerging …, 2021 - pubsonline.informs.org
The goal in radiotherapy for cancer is to maximize tumor-kill while limiting toxic effects on
nearby healthy anatomies. This is attempted via spatial localization of the radiation dose …

A theoretical framework for learning tumor dose-response uncertainty in individualized spatiobiologically integrated radiotherapy

A Ajdari, F Saberian, A Ghate - INFORMS Journal on …, 2020 - pubsonline.informs.org
Recent theoretical research has employed the linear-quadratic model of dose-response in
stochastic control formulations for spatiobiologically integrated radiotherapy. The goal is to …

Scalable Optimization Methods for Incorporating Spatiotemporal Fractionation into Intensity-Modulated Radiotherapy Planning

A Adibi, E Salari - INFORMS Journal on Computing, 2022 - pubsonline.informs.org
It has been recently shown that an additional therapeutic gain may be achieved if a
radiotherapy plan is altered over the treatment course using a new treatment paradigm …

Convex and robust optimization methods for modality selection in external beam radiotherapy

S Nourollahi - 2018 - digital.lib.washington.edu
The goal in external beam radiotherapy (EBRT) for cancer is to maximize damage to the
tumor while limiting toxic effects of radiation dose on the organs-at-risk (OAR). EBRT can be …