Robust maximization of tumor control probability for radicality constrained radiotherapy dose painting by numbers of head and neck cancer-Reference-Cited by-同舟云学术

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Robust maximization of tumor control probability for radicality constrained radiotherapy dose painting by numbers of head and neck cancer

Published:2019-10 Issue: Volume:12 Page:56-62
ISSN:2405-6316
Container-title:Physics and Imaging in Radiation Oncology
language:en
Short-container-title:Physics and Imaging in Radiation Oncology

Author:

Grönlund Eric,Almhagen Erik,Johansson Silvia,Traneus Erik,Ahnesjö Anders

Funder

Swedish Cancer Society

Uppsala University Hospital

Publisher

Elsevier BV

Subject

Radiology, Nuclear Medicine and imaging,Radiation

Reference35 articles.

1. Towards multidimensional radiotherapy (MD-CRT): biological imaging and biological conformality;Ling;Int J Radiat Oncol,2000

2. Estimate of the impact of FDG-avidity on the dose required for head and neck radiotherapy local control;Jeong;Radiother Oncol,2014

3. Recurrences after intensity modulated radiotherapy for head and neck squamous cell carcinoma more likely to originate from regions with high baseline [18F]-FDG uptake;Due;Radiother Oncol,2014

4. Dose painting by numbers based on retrospectively determined recurrence probabilities;Grönlund;Radiother Oncol,2017

5. Failure-probability driven dose painting;Vogelius;Med Phys,2013

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1. Treatment Planning Methods for Dose Painting by Numbers Treatment in Gamma Knife Radiosurgery;Advances in Radiation Oncology;2024-08

2. Plan Assessment Metrics for Dose Painting in Stereotactic Radiosurgery;Advances in Radiation Oncology;2023-11

3. Plan robustness and RBE influence for proton dose painting by numbers for head and neck cancers;Physica Medica;2023-11

4. Medical Imaging Biomarker Discovery and Integration Towards AI-Based Personalized Radiotherapy;Frontiers in Oncology;2022-01-17

5. Positron emission tomography guided dose painting by numbers of lung cancer: Alanine dosimetry in an anthropomorphic phantom;Physics and Imaging in Radiation Oncology;2022-01

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