Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1200/JCO.2008.19.0819 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Stereotactic body radiotherapy for early-stage lung cancer: a systematic review on the choice of photon energy and linac flattened/unflattened beams.
Radiat Oncol
January 2024
School of Physics, Mathematics and Computing, The University of Western Australia, Crawley, WA, 6009, Australia.
SBRT is an effective local treatment for patients with early-stage non-small cell lung cancer (NSCLC). This treatment is currently used in patients who have poor lung function or who decline surgery. As SBRT usually has small PTV margins, reducing the beam-on-time (BOT) is beneficial for accurate dose delivery by minimising intrafraction motion as well as improved patient comfort.
View Article and Find Full Text PDFPostmastectomy Intensity Modulated Proton Therapy: 5-Year Oncologic and Patient-Reported Outcomes.
Int J Radiat Oncol Biol Phys
November 2023
Department of Radiation Oncology, Mayo Clinic, Rochester, Minnesota. Electronic address:
Purpose: To report oncologic, physician-assessed, and patient-reported outcomes (PROs) for a group of women homogeneously treated with modern, skin-sparing multifield optimized pencil-beam scanning proton (intensity modulated proton therapy [IMPT]) postmastectomy radiation therapy (PMRT).
Methods And Materials: We reviewed consecutive patients who received unilateral, curative-intent, conventionally fractionated IMPT PMRT between 2015 and 2019. Strict constraints were applied to limit the dose to the skin and other organs at risk.
Skin/mucosa avoidance radiotherapy (SMART) versus conventional volumetric arc-based radiotherapy (VMAT) for the treatment of head and neck cancer: Dosimetric feasibility study.
J Appl Clin Med Phys
August 2023
Department of Radiation Oncology, Nova Scotia Health Authority, Halifax, Canada.
Background: Intensity modulated radiotherapy (IMRT) for head and neck cancer has led to a reduction in radiotherapy doses to normal tissues, like the salivary glands, while maintaining high rates of local control. Oral mucosal and skin toxicity is still a major source of treatment-related morbidity, occurring in most patients.
Purpose: We conducted a dosimetric feasibility study with the goal of creating a methodology that could theoretically reduce the dose of radiation to skin and oral mucosa, while maintaining comparable avoidance of other organs at risk, and planning target volume (PTV) coverage.
Skin Sparing in Intensity-Modulated Radiation Therapy of Nasopharyngeal Carcinoma.
J Med Phys
November 2022
Department of Radiation Oncology, Sher I Kashmir Institute of Medical Sciences, Srinagar, Jammu and Kashmir, India.
Background And Purpose: Radiation therapy of nasopharyngeal carcinomas (NPCs) involves high doses to the target structures which are superficial to the skin surfaces. As a result, the skin toxicities involved are higher and sometimes worsens to such an extent that radiotherapy needs to be interrupted unplanned. This leads to a break in radiation therapy which overall affects the local control and cure rates.
View Article and Find Full Text PDFIMPT of head and neck cancer: unsupervised machine learning treatment planning strategy for reducing radiation dermatitis.
Radiat Oncol
January 2023
Department of Radiation Oncology, Apollo Proton Cancer Centre, 100 Feet Road Tharamani, Chennai, Tamil Nadu, India.
Radiation dermatitis is a major concern in intensity modulated proton therapy (IMPT) for head and neck cancer (HNC) despite its demonstrated superiority over contemporary photon radiotherapy. In this study, dose surface histogram data extracted from forty-four patients of HNC treated with IMPT was used to predict the normal tissue complication probability (NTCP) of skin. Grades of NTCP-skin were clustered using the K-means clustering unsupervised machine learning (ML) algorithm.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!