» Articles » PMID: 17395041

Physical Models and Simpler Dosimetric Descriptors of Radiation Late Toxicity

Overview
Specialties Oncology
Radiology
Date 2007 Mar 31
PMID 17395041
Citations 22
Authors
Affiliations
Soon will be listed here.
Abstract

Predicting radiation damage to specific organs is becoming ever more challenging with the use of intensity-modulated beams, nonuniform dose distributions, partial organ irradiation, and interpatient and even intraorgan variations in radiation sensitivity. Data-based physical models can be of use in summarizing complicated dose-volume data to help describe clinical outcomes and ultimately aid in the prediction of clinical toxicity. This article attempts to provide a brief overview of the use of normal tissue complication probability (NTCP) models and other simple dose/volume metrics to describe a few clinically significant complications (either frequent or serious) associated with radiation therapy of the head and neck, thorax, and abdominal-pelvic regions. Specifically, it reviews the application of these methods for late toxicities of the parotid, lung, heart, spinal cord, liver, and rectum. It focuses on organ-specific NTCP parameters as well as simple dosimetric descriptors that might be used to help treatment plan evaluation in clinical practice.

Citing Articles

Radiotherapy for tumors of the mediastinum - state of the art.

Kantzou I, Sarris G, Kouloulias V, Abatzoglou I, Leivaditis V, Grapatsas K Kardiochir Torakochirurgia Pol. 2024; 20(4):255-262.

PMID: 38283558 PMC: 10809816. DOI: 10.5114/kitp.2023.134132.


Clinical-dosimetric relationship between lacrimal gland dose and keratoconjunctivitis sicca in dogs with sinonasal tumors treated with radiation therapy.

Poirier V, Matsuyama A, Kim C, Darko J, Fleck A J Vet Intern Med. 2020; 34(2):867-872.

PMID: 32086981 PMC: 7096656. DOI: 10.1111/jvim.15744.


Combining handcrafted features with latent variables in machine learning for prediction of radiation-induced lung damage.

Cui S, Luo Y, Tseng H, Ten Haken R, El Naqa I Med Phys. 2019; 46(5):2497-2511.

PMID: 30891794 PMC: 6510637. DOI: 10.1002/mp.13497.


Advances in targeting the transforming growth factor β1 signaling pathway in lung cancer radiotherapy.

Lu Z, Tang Y, Luo J, Zhang S, Zhou X, Fu L Oncol Lett. 2017; 14(5):5681-5687.

PMID: 29113195 PMC: 5661375. DOI: 10.3892/ol.2017.6991.


Immunological Aspect of Radiation-Induced Pneumonitis, Current Treatment Strategies, and Future Prospects.

Kainthola A, Haritwal T, Tiwari M, Gupta N, Parvez S, Tiwari M Front Immunol. 2017; 8:506.

PMID: 28512460 PMC: 5411429. DOI: 10.3389/fimmu.2017.00506.