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Cancers
Special Issues
Analysis of Cancer Radiotherapy
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Analysis of Cancer Radiotherapy

A special issue of Cancers (ISSN 2072-6694). This special issue belongs to the section "Cancer Therapy".

Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 5491

Special Issue Editor

Prof. Dr. Michael L. F. Lerch

E-Mail Website
Guest Editor
Centre for Medical Radiation Physics, School of Physics, University of Wollongong, Wollongong, Australia
Interests: cancer radiation medicine; medical radiation physics; solid state dosimetry in radiation medicine; nanoparticles in cancer radiation medicine

Special Issue Information

Dear Colleagues,

This Special Issue will focus on highlighting the latest developments in emerging and established cancer radiation treatments (photon and particle based) that are relevant to the global research and clinical communities. The scope of the Special Issue will include significant technical advances, new theranostic platforms and multi-modal treatment options for improving cancer radiation treatments and quality assurance with a view to demonstrating improved treatment efficacy via in vitro or in vivo datasets or clinical trial cohorts. 

Dr. Michael Lerch
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Cancers is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2900 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • cancer
  • radiation medicine
  • cancer treatment technology
  • nanoparticles
  • efficacy

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Published Papers (3 papers)

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Research

21 pages, 1196 KiB  
Article
Dosiomics-Based Prediction of Radiation-Induced Valvulopathy after Childhood Cancer
by Stefania Chounta, Rodrigue Allodji, Maria Vakalopoulou, Mahmoud Bentriou, Duyen Thi Do, Florent De Vathaire, Ibrahima Diallo, Brice Fresneau, Thibaud Charrier, Vincent Zossou, Stergios Christodoulidis, Sarah Lemler and Veronique Letort Le Chevalier
Cancers 2023, 15(12), 3107; https://doi.org/10.3390/cancers15123107 - 8 Jun 2023
Cited by 1 | Viewed by 1457
Abstract
Valvular Heart Disease (VHD) is a known late complication of radiotherapy for childhood cancer (CC), and identifying high-risk survivors correctly remains a challenge. This paper focuses on the distribution of the radiation dose absorbed by heart tissues. We propose that a dosiomics signature [...] Read more.
Valvular Heart Disease (VHD) is a known late complication of radiotherapy for childhood cancer (CC), and identifying high-risk survivors correctly remains a challenge. This paper focuses on the distribution of the radiation dose absorbed by heart tissues. We propose that a dosiomics signature could provide insight into the spatial characteristics of the heart dose associated with a VHD, beyond the already-established risk induced by high doses. We analyzed data from the 7670 survivors of the French Childhood Cancer Survivors’ Study (FCCSS), 3902 of whom were treated with radiotherapy. In all, 63 (1.6%) survivors that had been treated with radiotherapy experienced a VHD, and 57 of them had heterogeneous heart doses. From the heart–dose distribution of each survivor, we extracted 93 first-order and spatial dosiomics features. We trained random forest algorithms adapted for imbalanced classification and evaluated their predictive performance compared to the performance of standard mean heart dose (MHD)-based models. Sensitivity analyses were also conducted for sub-populations of survivors with spatially heterogeneous heart doses. Our results suggest that MHD and dosiomics-based models performed equally well globally in our cohort and that, when considering the sub-population having received a spatially heterogeneous dose distribution, the predictive capability of the models is significantly improved by the use of the dosiomics features. If these findings are further validated, the dosiomics signature may be incorporated into machine learning algorithms for radiation-induced VHD risk assessment and, in turn, into the personalized refinement of follow-up guidelines. Full article
(This article belongs to the Special Issue Analysis of Cancer Radiotherapy)
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15 pages, 2129 KiB  
Article
Good Timing Matters: The Spatially Fractionated High Dose Rate Boost Should Come First
by Elisabeth Schültke, Felix Jaekel, Stefan Bartzsch, Elke Bräuer-Krisch, Herwig Requardt, Jean Albert Laissue, Hans Blattmann and Guido Hildebrandt
Cancers 2022, 14(23), 5964; https://doi.org/10.3390/cancers14235964 - 2 Dec 2022
Cited by 2 | Viewed by 1524
Abstract
Monoplanar microbeam irradiation (MBI) and pencilbeam irradiation (PBI) are two new concepts of high dose rate radiotherapy, combined with spatial dose fractionation at the micrometre range. In a small animal model, we have explored the concept of integrating MBI or PBI as a [...] Read more.
Monoplanar microbeam irradiation (MBI) and pencilbeam irradiation (PBI) are two new concepts of high dose rate radiotherapy, combined with spatial dose fractionation at the micrometre range. In a small animal model, we have explored the concept of integrating MBI or PBI as a simultaneously integrated boost (SIB), either at the beginning or at the end of a conventional, low-dose rate schedule of 5x4 Gy broad beam (BB) whole brain radiotherapy (WBRT). MBI was administered as array of 50 µm wide, quasi-parallel microbeams. For PBI, the target was covered with an array of 50 µm × 50 µm pencilbeams. In both techniques, the centre-to-centre distance was 400 µm. To assure that the entire brain received a dose of at least 4 Gy in all irradiated animals, the peak doses were calculated based on the daily BB fraction to approximate the valley dose. The results of our study have shown that the sequence of the BB irradiation fractions and the microbeam SIB is important to limit the risk of acute adverse effects, including epileptic seizures and death. The microbeam SIB should be integrated early rather than late in the irradiation schedule. Full article
(This article belongs to the Special Issue Analysis of Cancer Radiotherapy)
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15 pages, 1883 KiB  
Article
Dose-Response Analysis Describes Particularly Rapid Repopulation of Non-Small Cell Lung Cancer during Concurrent Chemoradiotherapy
by Huei-Tyng Huang, Michael G. Nix, Douglas H. Brand, David Cobben, Crispin T. Hiley, John D. Fenwick and Maria A. Hawkins
Cancers 2022, 14(19), 4869; https://doi.org/10.3390/cancers14194869 - 5 Oct 2022
Cited by 2 | Viewed by 2015
Abstract
(1) Purpose: We analysed overall survival (OS) rates following radiotherapy (RT) and chemo-RT of locally-advanced non-small cell lung cancer (LA-NSCLC) to investigate whether tumour repopulation varies with treatment-type, and to further characterise the low α/β ratio found in a previous study. [...] Read more.
(1) Purpose: We analysed overall survival (OS) rates following radiotherapy (RT) and chemo-RT of locally-advanced non-small cell lung cancer (LA-NSCLC) to investigate whether tumour repopulation varies with treatment-type, and to further characterise the low α/β ratio found in a previous study. (2) Materials and methods: Our dataset comprised 2-year OS rates for 4866 NSCLC patients (90.5% stage IIIA/B) belonging to 51 cohorts treated with definitive RT, sequential chemo-RT (sCRT) or concurrent chemo-RT (cCRT) given in doses-per-fraction ≤3 Gy over 16–60 days. Progressively more detailed dose-response models were fitted, beginning with a probit model, adding chemotherapy effects and survival-limiting toxicity, and allowing tumour repopulation and α/β to vary with treatment-type and stage. Models were fitted using the maximum-likelihood technique, then assessed via the Akaike information criterion and cross-validation. (3) Results: The most detailed model performed best, with repopulation offsetting 1.47 Gy/day (95% confidence interval, CI: 0.36, 2.57 Gy/day) for cCRT but only 0.30 Gy/day (95% CI: 0.18, 0.47 Gy/day) for RT/sCRT. The overall fitted tumour α/β ratio was 3.0 Gy (95% CI: 1.6, 5.6 Gy). (4) Conclusion: The fitted repopulation rates indicate that cCRT schedule durations should be shortened to the minimum in which prescribed doses can be tolerated. The low α/β ratio suggests hypofractionation should be efficacious. Full article
(This article belongs to the Special Issue Analysis of Cancer Radiotherapy)
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