Recent Advances in Precision Radiotherapy of Cancer

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Medical Imaging and Theranostics".

Deadline for manuscript submissions: closed (31 August 2023) | Viewed by 2263

Special Issue Editor


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Guest Editor
Professor of Medical Genetics/Cytogenetic, Department of Medical Genetics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran 4115-111, Iran
Interests: precision radiotherapy; molecular radiobiology; radiation induced carcinogens; radiogenomics; radiation induced genome instability

Special Issue Information

Dear Colleagues,

The trend of cancer incidence is increasing worldwide. About 80% of cancer patients receive radiotherapy (RT) for their treatment externally or internally. However, in spite of years and years of hard work among scientists, there are still many unsolved questions in the field of radiation therapy. It took about 50 years for us to be able to use high-energy photons generated from Cobalt-60 or linear accelerators for treatment of deep-seated tumors. There has been a significant technical advancement during the last two decades in external radiation dose delivery such as intensity modulated radiotherapy (IMRT), intraoperative RT (IORT), image-guided RT (IGRT), stereotactic body RT (SBRT), and different fractionation schemes, such as hyper- and hypo-fractionation, to spare normal tissues as much as possible and achieve better radiotherapy outcomes. The introduction of three‐ and four-dimensional conformal radiation therapy (3D or 4D-CRT) has been a major advancement in radiotherapy, and it is now possible to plan and prescribe radiation doses with desired dose distribution to the entire tumor using computer-aided techniques. New radiation treatment modalities such as neutrons and proton and ion therapy continue to represent a major challenge in the management of localized human cancer. Therefore, we are still far from achieving a personalized cancer radiotherapy.

Diagnostics has decided to publish a Special Issue with the aim to collect a series of research articles and reviews from a diverse group in the scientific community to share their research regarding radiotherapy in cancer. Therefore, I cordially invite you to take part in this Special Issue with a scientific contribution.

Prof. Dr. Hossein Mozdarani
Guest Editor

Manuscript Submission Information

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Published Papers (1 paper)

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Research

16 pages, 2947 KiB  
Article
Comparative Study of Plan Robustness for Breast Radiotherapy: Volumetric Modulated Arc Therapy Plans with Robust Optimization versus Manual Flash Approach
by Ray C. K. Chan, Curtise K. C. Ng, Rico H. M. Hung, Yoyo T. Y. Li, Yuki T. Y. Tam, Blossom Y. L. Wong, Jacky C. K. Yu and Vincent W. S. Leung
Diagnostics 2023, 13(22), 3395; https://doi.org/10.3390/diagnostics13223395 - 7 Nov 2023
Cited by 1 | Viewed by 1849
Abstract
A previous study investigated robustness of manual flash (MF) and robust optimized (RO) volumetric modulated arc therapy plans for breast radiotherapy based on five patients in 2020 and indicated that the RO was more robust than the MF, although the MF is still [...] Read more.
A previous study investigated robustness of manual flash (MF) and robust optimized (RO) volumetric modulated arc therapy plans for breast radiotherapy based on five patients in 2020 and indicated that the RO was more robust than the MF, although the MF is still current standard practice. The purpose of this study was to compare their plan robustness in terms of dose variation to clinical target volume (CTV) and organs at risk (OARs) based on a larger sample size. This was a retrospective study involving 34 female patients. Their plan robustness was evaluated based on measured volume/dose difference between nominal and worst scenarios (ΔV/ΔD) for each CTV and OARs parameter, with a smaller difference representing greater robustness. Paired sample t-test was used to compare their robustness values. All parameters (except CTV ΔD98%) of the RO approach had smaller ΔV/ΔD values than those of the MF. Also, the RO approach had statistically significantly smaller ΔV/ΔD values (p < 0.001–0.012) for all CTV parameters except the CTV ΔV95% and ΔD98% and heart ΔDmean. This study’s results confirm that the RO approach was more robust than the MF in general. Although both techniques were able to generate clinically acceptable plans for breast radiotherapy, the RO could potentially improve workflow efficiency due to its simpler planning process. Full article
(This article belongs to the Special Issue Recent Advances in Precision Radiotherapy of Cancer)
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