ArticleJournal of applied clinical medical physics2019
A comprehensive dosimetric study of Monte Carlo and pencil-beam algorithms on intensity-modulated proton therapy for breast cancer.
Article in Journal of applied clinical medical physics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed, 35 citations in OpenAlex.
- An ion treatment planning framework for inclusion of nanodosimetric ionization detail through cluster dose.Medical physics · 2026Article
- Generalizability of deep learning-based dose conversion model in proton beam therapy.Journal of applied clinical medical physics · 2026Article
- Commissioning of a Monte Carlo-based scanning proton beam for breast cancer: Incorporating LETd calculations and variable RBE models.Journal of applied clinical medical physics · 2026Article
- Article
- Geometry-encoded deep learning (GeoDL) framework for real-time 3D dose verification for online adaptive radiotherapy.Machine learning. Health · 2025Article
- Improvement of deep learning-based dose conversion accuracy to a Monte Carlo algorithm in proton beam therapy for head and neck cancers.Journal of radiation research · 2025Article
- Quality assurance for online adaptive radiotherapy: a secondary dose verification model with geometry-encoded U-Net.Machine learning: science and technology · 2024Article
- Dosimetric Correlation of Acute Radiation Dermatitis in Patients With Breast Cancer Undergoing Hypofractionated Proton Beam Therapy Using Pencil Beam Scanning.Journal of breast cancer · 2024Article
- Proton Therapy for Bilateral Breast Cancer Maximizes Normal-Tissue Sparing.International journal of particle therapy · 2023Article
- Feasibility study of fast intensity-modulated proton therapy dose prediction method using deep neural networks for prostate cancer.Medical physics · 2022Article
- Dual-energy CT based mass density and relative stopping power estimation for proton therapy using physics-informed deep learning.Physics in medicine and biology · 2022Article
- RBE-weighted dose and its impact on the risk of acute coronary event for breast cancer patients treated with intensity modulated proton therapy.Journal of applied clinical medical physics · 2022Article
- Prostate Cancer Treatment with Pencil Beam Proton Therapy Using Rectal Spacers sans Endorectal Balloons.International journal of particle therapy · 2022Article
- Improving Proton Dose Calculation Accuracy by Using Deep Learning.Machine learning: science and technology · 2021Article
- Investigating volumetric repainting to mitigate interplay effect on 4D robustly optimized lung cancer plans in pencil beam scanning proton therapy.Journal of applied clinical medical physics · 2021Article
- Study of an Online Plan Verification Method and the Sensitivity of Plan Delivery Accuracy to Different Beam Parameter Errors in Proton and Carbon Ion Radiotherapy.Frontiers in oncology · 2021Article
- Parametrization of in-air spot size as a function of energy and air gap for the ProteusPLUS pencil beam scanning proton therapy system.Radiological physics and technology · 2020Article
- Treatment planning for proton therapy: what is needed in the next 10 years?The British journal of radiology · 2020Review
- Is an analytical dose engine sufficient for intensity modulated proton therapy in lung cancer?The British journal of radiology · 2020Article
- Radiobiological and dosimetric impact of RayStation pencil beam and Monte Carlo algorithms on intensity-modulated proton therapy breast cancer plans.Journal of applied clinical medical physics · 2019Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PB algorithms are commonly used for proton therapy. Previously reported limitations of the PB algorithm for proton therapy are mainly focused on high-density gradients and small-field dosimetry, the effect of PB algorithms on intensity-modulated proton therapy (IMPT) for breast cancer has yet to be illuminated. In this study, we examined 20 patients with breast cancer and systematically investigated the dosimetric impact of MC and PB algorithms on IMPT. Four plans were generated for each patient: (a) a PB plan that optimized and computed the final dose using a PB algorithm; (b) a MC-recomputed plan that recomputed the final dose of the PB plan using a MC algorithm; (c) a MC-renormalized plan that renormalized the MC-recomputed plan to restore the target coverage; and (d) a MC-optimized plan that optimized and computed the final dose using a MC algorithm. The DVH on CTVs and on organ-at-risks (OARs) from each plan were studied. The Mann-Whitney U-test was used for testing the differences between any two types of plans. We found that PB algorithms significantly overestimated the target dose in breast IMPT plans. The median value of the CTV D
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.