ArticleJournal of applied clinical medical physics2015
Optimum radiation source for radiation therapy of skin cancer.
Article in Journal of applied clinical medical physics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.
- Recommendations of the Spanish brachytherapy group (GEB) of Spanish Society of Radiation Oncology (SEOR) and the Spanish Society of Medical Physics (SEFM) for high-dose rate (HDR) non melanoma skin cancer brachytherapy.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2018Guideline
- Updated dosimetric comparison of HDR interventional radiotherapy includingRadiation and environmental biophysics · 2026Article
- Expert opinion: radiotherapy for basal cell carcinoma : Recommendations from the DEGRO Dermatooncology Working Group.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2026Article
- Radiotherapeutic Modalities and Advancements in the Treatment of Cutaneous Malignancies.Journal of clinical medicine · 2025Review
- Reference datasets for commissioning of model-based dose calculation algorithms for electronic brachytherapy.Medical physics · 2025Article
- Early clinical experience with a degraded 4 MeV electron beam in radiotherapy of superficial basal cell carcinoma.Physics and imaging in radiation oncology · 2023Article
- Categorization of Common Pigmented Skin Lesions (CPSL) using Multi-Deep Features and Support Vector Machine.Journal of digital imaging · 2022Article
- Dosimetric comparison of volumetric modulated arc therapy (VMAT) and high-dose-rate brachytherapy (HDR-BT) for superficial skin irradiation with significant curvature in one or more planes.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2021Article
- End-to-end test and MOSFET in vivo skin dosimetry forJournal of contemporary brachytherapy · 2019Article
- Treatment of cervical cancer with electronic brachytherapy.Journal of applied clinical medical physics · 2019Article
- A simple technique to improve calculated skin dose accuracy in a commercial treatment planning system.Journal of applied clinical medical physics · 2018Article
Corrections and comments
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Authors and funding
3 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Several different applicators have been designed for treatment of skin cancers, such as scalp, hand, and legs using Ir-192 HDR brachytherapy sources (IR-HDRS), miniature electronic brachytherapy sources (eBT), and external electron beam radiation therapy (EEBRT). Although, all of these methodologies may deliver the desired radiation dose to the skin, but the dose to the underlying bone may become the limiting factor for selection of the optimum treatment technique. In this project, dose to the underlying bone has been evaluated as a function of the radiation type, thickness of the bone, and thickness of the soft tissue on top of bone, assuming the same radiation dose delivery to the skin. These evaluations are performed using Monte Carlo (MC) simulation technique with MCNP5 code. The results of these investigations indicate that, for delivery of the same skin dose with a 50keV eBT, 4 MeV or 6 MeV EEBRT techniques, the average doses received by the underlying bones are 5.31, 2, or 1.75 times the dose received from IR-HDRS technique, respectively. These investigations indicate that, for the treatment of skin cancer condition with bone immediately beneath skin, the eBT technique may not be the most suitable technique, as it may lead to excessive bone dose relative to IR-HDRS and 6 MeV or 4 MeV electron beams.
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Registered trials
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.