Article
Oncology
J. van der Veen, A. Gulyban, S. Willems, F. Maes, S. Nuyts
Summary: The study found that in radiotherapy for head and neck cancer, although international consensus guidelines for organ at risk delineation exist, only about half of radiation oncologists actually use these guidelines, which partly explains the variability in delineation. The research highlights that guidelines alone are not sufficient to eliminate interobserver variability and more efforts are needed to achieve further treatment standardization, such as utilizing artificial intelligence.
RADIATION ONCOLOGY
(2021)
Article
Multidisciplinary Sciences
Xianghua Ye, Dazhou Guo, Jia Ge, Senxiang Yan, Yi Xin, Yuchen Song, Yongheng Yan, Bing-shen Huang, Tsung-Min Hung, Zhuotun Zhu, Ling Peng, Yanping Ren, Rui Liu, Gong Zhang, Mengyuan Mao, Xiaohua Chen, Zhongjie Lu, Wenxiang Li, Yuzhen Chen, Lingyun Huang, Jing Xiao, Adam P. Harrison, Le Lu, Chien-Yu Lin, Dakai Jin, Tsung-Ying Ho
Summary: In this study, we propose an automated and highly effective stratified OAR segmentation system using deep learning (SOARS) that precisely delineates a comprehensive set of 42 H&N OARs. The results show that SOARS consistently outperforms other state-of-the-art methods in evaluations across different institutions, reducing workload significantly. Moreover, the segmentation and dosimetric accuracy are within or smaller than the inter-user variation.
NATURE COMMUNICATIONS
(2022)
Review
Oncology
Heleen Bollen, Akos Gulyban, Sandra Nuyts
Summary: The aim of this study was to evaluate the impact of international expert consensus guidelines (CG) on the delineation quality and consistency of clinical target volume of the primary tumor (CTVp). The results showed that the implementation of CG significantly improved delineation uniformity in Belgian radiation therapy centers. However, there is a need for clarification of the existing guidelines, especially for oropharyngeal and hypopharyngeal carcinoma.
RADIOTHERAPY AND ONCOLOGY
(2023)
Article
Engineering, Biomedical
Xianjin Dai, Yang Lei, Tonghe Wang, Anees H. Dhabaan, Mark McDonald, Jonathan J. Beitler, Walter J. Curran, Jun Zhou, Tian Liu, Xiaofeng Yang
Summary: The study aims to develop a fully automated approach for rapid and accurate multi-organ contouring in head-and-neck cancer patients using synthetic MRI and CBCT technology. By combining the information provided by MRI and CBCT, accurate multi-organ segmentation in HN cancer patients is expected. The proposed method shows promising results in terms of DSC values and can be a valuable tool for adaptive radiation therapy.
PHYSICS IN MEDICINE AND BIOLOGY
(2021)
Article
Multidisciplinary Sciences
Feng Shi, Weigang Hu, Jiaojiao Wu, Miaofei Han, Jiazhou Wang, Wei Zhang, Qing Zhou, Jingjie Zhou, Ying Wei, Ying Shao, Yanbo Chen, Yue Yu, Xiaohuan Cao, Yiqiang Zhan, Xiang Sean Zhou, Yaozong Gao, Dinggang Shen
Summary: This paper proposes a lightweight deep learning framework, RTP-Net, for automatic, rapid, and precise initialization of organ-at-risk (OAR) and tumor delineation in radiotherapy. The framework achieves high accuracy and near real-time delineation, which could greatly accelerate the treatment planning process and reduce patient waiting time.
NATURE COMMUNICATIONS
(2022)
Article
Oncology
Arnaud Beddok, Leslie Guzene, Alexandre Coutte, David Thomson, Sue Yom, Valentin Calugaru, Eivind Blais, Olivier Gilliot, Severine Racadot, Yoann Pointreau, June Corry, Kenneth Jensen, Sandro Porceddu, Nazim Khalladi, Vianney Bastit, Audrey Lasne-Cardon, Pierre-Yves Marcy, Florent Carsuzaa, Christophe Nioche, Jean Bourhis, Julia Salleron, Thariat Juliette
Summary: This study evaluated the interobserver variability of common flaps used in head and neck cancer, showing that delineation of four main flaps was reproducible. However, close cooperation between radiologist, surgeon, and radiation oncologist is necessary for accurate delineation of the FAMM flap.
Article
Oncology
Guillaume Vogin, Liza Hettal, Clarisse Bartau, Juliette Thariat, Marie-Virginie Claeys, Guillaume Peyraga, Paul Retif, Ulrike Schick, Delphine Antoni, Zsuzsa Bodgal, Frederic Dhermain, Loic Feuvret
Summary: The study evaluated inter-individual variability in delineation of common cranial organs at risk in neurooncology practice. Results showed higher Kappa index for larger OAR and lower for smaller OAR. Radiation oncologists performed better in all indicators compared to non-members.
RADIATION ONCOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Xianjin Dai, Yang Lei, Tonghe Wang, Jun Zhou, Justin Roper, Mark McDonald, Jonathan J. Beitler, Walter J. Curran, Tian Liu, Xiaofeng Yang
Summary: A deep learning-based automated OAR delineation method was developed in this study, utilizing synthetic MRI to enhance delineation accuracy. The proposed method outperformed current state-of-the-art algorithms in quantitatively evaluating OAR delineation performance on both in-house and public datasets.
Review
Chemistry, Multidisciplinary
Enrico Antonio Lo Faso, Orazio Gambino, Roberto Pirrone
Summary: The review focuses on delineation methods for head-neck cancer tumors, emphasizing the importance of multimodal images in radiotherapy. A comparison among different approaches highlights the gap in performance between computerized and manual methods.
APPLIED SCIENCES-BASEL
(2021)
Article
Oncology
Madalina Costea, Alexandra Zlate, Morgane Durand, Thomas Baudier, Vincent Gregoire, David Sarrut, Marie-Claude Biston
Summary: This study investigated the performance of atlas-based and deep learning methods in automatic segmentation of head-and-neck organs-at-risk. The results showed that deep learning methods generally outperformed atlas-based methods in terms of delineation accuracy. However, the hybrid-ABAS algorithm sometimes provided the highest conformity to the reference contours. Overall, deep learning methods showed higher delineation accuracy in segmenting head-and-neck organs-at-risk, but atlas-based methods were relatively more time-consuming.
RADIOTHERAPY AND ONCOLOGY
(2022)
Article
Physics, Multidisciplinary
Wei Wang, Qingxin Wang, Mengyu Jia, Zhongqiu Wang, Chengwen Yang, Daguang Zhang, Shujing Wen, Delong Hou, Ningbo Liu, Ping Wang, Jun Wang
Summary: The novel deep learning model SEB-Net was developed to improve the accuracy of automatic organs-at-risk (OARs) segmentation in CT images for head and neck (HaN) as well as small organs, achieving significantly higher Dice similarity coefficient and lower Hausdorff distance compared to other cutting-edge methods.
FRONTIERS IN PHYSICS
(2021)
Article
Oncology
G. Noel, C. Le Fevre, D. Antoni
Summary: The delineation of organs at risk is crucial for radiotherapy oncologists to identify target volumes and optimize dose distribution. Continuous learning of this delineation is necessary due to changes in contour and volumes with improved imaging and increased knowledge of side effects. Precise and systematic delineation is essential to avoid complications and accommodate the growing need for re-irradiations.
CANCER RADIOTHERAPIE
(2022)
Article
Oncology
Shunyao Luan, Changchao Wei, Yi Ding, Xudong Xue, Wei Wei, Xiao Yu, Xiao Wang, Chi Ma, Benpeng Zhu
Summary: In this study, we propose a parallel network architecture called PCG-Net, which combines convolutional neural networks (CNN) and a Gate-Axial-Transformer (GAT) to effectively capture local and global information for the segmentation of Head and Neck (HN) Organs-At-Risks (OARs). We also employ a cascade graph module (CGM) to enhance feature fusion. Extensive experiments demonstrate that PCG-Net outperforms other methods in terms of accuracy and robustness in HN OARs segmentation.
FRONTIERS IN ONCOLOGY
(2023)
Article
Oncology
Anna Embring, Eva Onjukka, Claes Mercke, Ingmar Lax, Anders Berglund, Sara Bornedal, Berit Wennberg, Emmy Dalqvist, Signe Friesland
Summary: The local recurrences of head and neck cancer are common and challenging to treat due to the location and risks associated with repeat radiotherapy. This study aims to establish safe levels of cumulative dose to specific organs for re-irradiation. The dose/volume data analysis showed correlations between cumulative dose to organs at risk and severe side effects, supporting existing dose constraints and potentially improving re-irradiation strategies.
Article
Physics, Multidisciplinary
Lucia Cubero, Joel Castelli, Antoine Simon, Renaud de Crevoisier, Oscar Acosta, Javier Pascau
Summary: This study trained a robust DL-based segmentation tool using a clinical partially labeled dataset for accurate delineation of organs at risk (OAR) in radiotherapy for head and neck cancer. The proposed method showed superior performance in segmenting fifteen OARs.
Article
Oncology
Lisanne V. van Dijk, Abdallah S. R. Mohamed, Sara Ahmed, Nafiul Nipu, G. Elisabeta Marai, Kareem Wahid, Nanna M. Sijtsema, Brandon Gunn, Adam S. Garden, Amy Moreno, Andrew J. Hope, Johannes A. Langendijk, Clifton D. Fuller
Summary: By utilizing "big-data," a personalized radiotherapy prediction model was developed to accurately stratify patients with head and neck cancer into high, intermediate, and low mortality risk groups, providing guidance for personalized radiotherapy.
EUROPEAN JOURNAL OF CANCER
(2023)
Article
Oncology
Matthew Craddock, Ursula Nestle, Jochem Koenig, Tanja Schimek-Jasch, Stephanie Kremp, Stefan Lenz, Kathryn Banfill, Angela Davey, Gareth Price, Ahmed Salem, Corinne Faivre-Finn, Marcel van Herk, Alan McWilliam
Summary: This study analyzes the overall survival of patients with inoperable stage II or III NSCLC treated with radiotherapy, and for the first time includes left ventricular ejection fraction as a metric of cardiac function. The results indicate that there is a region within the base of the heart that is significantly associated with worse overall survival, and an interaction between baseline cardiac health and heart base dose was identified.
JOURNAL OF THORACIC ONCOLOGY
(2023)
Article
Oncology
Ilse G. van Bruggen, Merle Huiskes, Suzanne P. M. de Vette, Mats Holmstrom, Johannes A. Langendijk, Stefan Both, Roel G. J. Kierkels, Erik W. Korevaar
Summary: The aim of this study was to evaluate an automated treatment planning method for robustly optimized intensity modulated proton therapy (IMPT) plans for oropharyngeal carcinoma patients and compare them with manually optimized plans. The results showed that the automated planning method can generate robustly optimized IMPT plans with comparable quality to clinical plans.
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Petros Kalendralis, Matthijs Sloep, Ananya Choudhury, Lerau Seyben, Jasper Snel, Nibin Moni George, Joeri Veugen, Martijn Veening, Johannes A. Langendijk, Andre Dekker, Johan van Soest, Rianne Fijten
Summary: This study provides an overview of the tumour group data lists in the Dutch national proton therapy registry, and presents a knowledge graph approach using ontologies and semantic web technologies to describe head and neck tumour variables. The goal is to offer a flexible and interoperable data model for data exchange in the radiotherapy community, highlighting variables needed for the model-based approach.
Article
Radiology, Nuclear Medicine & Medical Imaging
Marc Andrea Walser, Nicolas Bachmann, Jonas Kluckert, A. Kothe, Carson Tully, Dominic Leiser, Antony John Lomax, Nicola Bizzocchi, Johannes Albertus Langendijk, Damien C. Weber
Summary: The objective of this study is to report the outcomes, toxicities, and NTCP calculation for PBSPT in SGT patients. The study reviewed 26 SGT patients treated with PBSPT and estimated overall survival, local control, locoregional control, and distant control. The results showed good oncological outcomes and low toxicity rates, and NTCP calculation indicated reduced risk for certain complications.
BRITISH JOURNAL OF RADIOLOGY
(2023)
Article
Otorhinolaryngology
Karlijn van den Bovenkamp, Bert van der Vegt, Gyorgy B. Halmos, Lorian Slagter-Menkema, Johannes A. Langendijk, Boukje A. C. van Dijk, Ed Schuuring, Bernard F. A. M. van der Laan
Summary: This study examined the predictive value of various tumor markers in patients with advanced-stage laryngeal squamous cell carcinoma, and found that overexpression of HIF-1α was associated with locoregional recurrence.
EUROPEAN ARCHIVES OF OTO-RHINO-LARYNGOLOGY
(2023)
Article
Oncology
Maria I. van Rijn-Dekker, Peter van Luijk, Ewoud Schuit, Arjen van der van der Schaaf, Johannes A. Langendijk, Role J. H. M. Steenbakkers
Summary: The purpose of this study was to find a dose metric to better assess the risk of xerostomia in patients with head and neck cancer undergoing radiation therapy. The distribution of stem cells in the parotid gland was found to be associated with the extent of gland damage, and a regeneration-weighted dose that takes into account this distribution difference was shown to more accurately assess the risk. Additionally, pretreatment xerostomia and oral cavity dose were also identified as predictive factors for xerostomia.
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
(2023)
Editorial Material
Oncology
Jesper Grau Eriksen, Birgitte Vrou Offersen, Morten Hoyer, Cai Grau, Jens Overgaard
Article
Radiology, Nuclear Medicine & Medical Imaging
Erik Engwall, Otte Marthin, Viktor Wase, Johan Sundstrom, Victor Mikhalev, Bas A. de Jong, Johannes A. Langendijk, Henrik Melbeus, Bjorn Andersson, Erik W. Korevaar, Stefan Both, Rasmus Bokrantz, Lars Glimelius, Albin Fredriksson
Summary: Discrete proton arcs can be implemented with reasonable treatment times using a partitioning approach, making the proton arc treatments more robust to changes in patient anatomy.
Article
Radiology, Nuclear Medicine & Medical Imaging
Rutger J. C. de Koster, Adrian Thummerer, Daniel Scandurra, Johannes A. Langendijk, Stefan Both
Summary: This study compared the dosimetric accuracy of daily CBCT-based sCT images to planning CTs and weekly rCTs in head and neck cancer patients. The results showed high similarity in target doses, but larger dose differences were observed in organs-at-risk.
Article
Oncology
Kelvin Ng Wei Siang, Stefan Both, Edwin Oldehinkel, Johannes A. Langendijk, Dirk Wagenaar
Summary: The study assesses the impact of residual geometrical errors on clinical target volumes dose coverage in head and neck cancer proton therapy. The results indicate that the difference in residual geometrical errors between propagated CTV and physician corrected CTV is minor, but variations in different regions are significant.
RADIOTHERAPY AND ONCOLOGY
(2023)
Article
Oncology
Bas A. Jong, Erik W. Korevaar, Anneke Maring, Chimene I. Werkman, Daniel Scandurra, Guillaume Janssens, Stefan Both, Johannes A. Langendijk
Summary: This study investigated the potential impact of proton arc therapy (PAT) on oropharyngeal cancer (OPC) patients. PAT plans demonstrated better target coverage and reduced normal tissue complication probabilities (NTCPs) compared to IMPT and VMAT plans, leading to a significantly increased percentage of OPC patients qualifying for proton therapy.
RADIOTHERAPY AND ONCOLOGY
(2023)
Article
Oncology
Irma M. Verdonck-de Leeuw, Laura H. A. Korsten, Annette van Nieuwenhuizen, Rob Baatenburg J. de Jong, Ruud H. Brakenhoff, Laurien M. Buffart, Femke Lamers, Johannes A. Langendijk, C. Rene Leemans, Jan H. Smit, Mirjam A. Sprangers, Robert P. Takes, Chris H. J. Terhaard, Birgit I. Lissenberg-Witte, Femke Jansen
Summary: The purpose of this study was to investigate the relationship between the course of health-related quality of life (HRQOL) in the first 2 years after diagnosis and treatment of head and neck cancer (HNC) and various factors. The study found that baseline depressive symptoms, social contacts, and oral pain were significantly associated with the course of HRQOL. Factors like tumor subsite, social eating, stress, coughing, feeling ill, and IL-10 were also associated with the course of HRQOL. Post-treatment factors such as social contacts and weight loss were found to be significantly associated with the course of HRQOL from 6 to 24 months.
SUPPORTIVE CARE IN CANCER
(2023)
Article
Oncology
M. Berbee, C. T. Muijs, F. E. M. Voncken, L. Wee, M. Sosef, B. van Etten, J. W. van Sandick, F. A. R. M. Warmerdam, J. J. de Haan, E. Oldehinkel, J. M. van Dieren, L. Boersma, J. A. Langendijk, A. van der Schaaf, J. B. Reitsma, E. Schuit
Summary: This study externally validated a model for predicting 2-year total mortality in lung cancer patients in esophageal cancer patients. The intercept and/or slope of the original model needed adjustment to achieve good performance in esophageal cancer patients.
RADIOTHERAPY AND ONCOLOGY
(2024)
Article
Oncology
Elaine Limkin, Pierre Blanchard, Benjamin Lacas, Jean Bourhis, Mahesh Parmar, Lisa Licitra, Quynh-Thu Le, Sue S. Yom, Catherine Fortpied, Johannes Langendijk, Jan B. Vermorken, Jacques Bernier, Jens Overgaard, Jonathan Harris, Jean-Pierre Pignon, Anne Auperin
Summary: This study investigated the impact of season of radiotherapy on the outcomes of head and neck squamous cell cancer patients. The results showed that the season of radiotherapy did not have any significant effect on patient outcomes.
RADIOTHERAPY AND ONCOLOGY
(2024)
Article
Oncology
Derek A. Mumaw, Allison J. Hazy, Aleksander Vayntraub, Thomas J. Quinn, Kamran Salari, John H. Chang, Noah Kalman, Sanford Katz, James Urbanic, Robert H. Press, Arpi Thukral, Henry Tsai, George E. Laramore, Jason Molitoris, Carlos Vargas, Samir H. Patel, Craig Stevens, Rohan L. Deraniyagala
Summary: This study evaluated contralateral recurrences in patients with oropharyngeal squamous cell carcinoma who received unilateral proton beam therapy. The results showed a favorable contralateral neck failure rate that was comparable to photon irradiation.
RADIOTHERAPY AND ONCOLOGY
(2024)
Article
Oncology
Kangpyo Kim, Dongryul Oh, Jae Myoung Noh, Yang Won Min, Hong Kwan Kim, Yong Chan Ahn
Summary: This study suggests that hypofractionated radiation therapy alone is a feasible option for early stage esophageal squamous cell carcinoma patients. Particularly, in patients with tumor length < 3 cm, this treatment scheme shows favorable local control rates with low incidence of esophageal toxicities.
RADIOTHERAPY AND ONCOLOGY
(2024)
Article
Oncology
Lin Chen, Jing Li, Kunpeng Li, Jiang Hu, Qingjie Li, Chenglong Huang, Gaoyuan Wang, Na Liu, Linglong Tang
Summary: This study analyzed the probability of hearing impairment after radiotherapy for nasopharyngeal carcinoma and developed a predictive model, providing dose limitation suggestions to improve patients' quality of life.
RADIOTHERAPY AND ONCOLOGY
(2024)
Article
Oncology
Yiwei Yang, Jianxin Wang, Feng Gao, Zhen Liu, Tangzhi Dai, Haowen Zhang, Hongyu Zhu, Tingting Wang, Dexin Xiao, Kui Zhou, Zheng Zhou, Dai Wu, Xiaobo Du, Sen Bai
Summary: This paper provides a comprehensive description of the current status of PARTER, which is the first experimental FLASH platform utilizing megavoltage X-rays. It showcases the reliable performance and stability of the dosimeters and monitors used in PARTER, as well as the satisfactory dose distribution and characteristics of the FLASH X-rays. The platform effectively meets the requirements of preclinical research on megavoltage X-ray FLASH and undergoes continuous upgrades.
RADIOTHERAPY AND ONCOLOGY
(2024)
Article
Oncology
Maria Thor, Kelly Fitzgerald, Aditya Apte, Jung Hun Oh, Aditi Iyer, Otasowie Odiase, Saad Nadeem, Ellen D. Yorke, Jamie Chaft, Abraham J. Wu, Michael Offin, Charles B. Simone Ii, Isabel Preeshagul, Daphna Y. Gelblum, Daniel Gomez, Joseph O. Deasy, Andreas Rimner
Summary: The purpose of this study was to identify predictors of disease progression in early-stage non-small cell lung cancer (NSCLC) patients after receiving definitive stereotactic body radiation therapy (SBRT). The results showed that tumor diameter and SUVmax were the most frequently reported features associated with progression/survival, and a re-fitted model including these two features had the best performance.
RADIOTHERAPY AND ONCOLOGY
(2024)
Article
Oncology
Yong-Qiao He, Tong-Min Wang, Da-Wei Yang, Wen-Qiong Xue, Chang-Mi Deng, Dan-Hua Li, Wen-Li Zhang, Ying Liao, Ruo-Wen Xiao, Lu-Ting Luo, Hua Diao, Xia-Ting Tong, Yan-Xia Wu, Xue-Yin Chen, Jiang-Bo Zhang, Ting Zhou, Xi-Zhao Li, Pei-Fen Zhang, Xiao-Hui Zheng, Shao-Dan Zhang, Ye-Zhu Hu, Guan-Qun Zhou, Jun Ma, Ying Sun, Wei-Hua Jia
Summary: In this study, researchers aimed to establish a predictive model for radiation-induced brain injury (RBI) in nasopharyngeal carcinoma (NPC) patients by incorporating clinical factors and newly developed genetic variants. They conducted a large-scale retrospective study and a genome-wide association study to develop a polygenic risk score (PRS) for RBI risk prediction. The results showed that the PRS, combined with clinical factors, improved the accuracy of RBI risk stratification and suggested personalized radiotherapy.
RADIOTHERAPY AND ONCOLOGY
(2024)
Review
Oncology
Xiaoyong Xiang, Zhe Ji, Jing Jin
Summary: A review of studies suggests that brachytherapy as a salvage therapy for recurrent glioblastoma shows acceptable safety and good post-treatment clinical efficacy for selected patients.
RADIOTHERAPY AND ONCOLOGY
(2024)
Article
Oncology
M. Berbee, C. T. Muijs, F. E. M. Voncken, L. Wee, M. Sosef, B. van Etten, J. W. van Sandick, F. A. R. M. Warmerdam, J. J. de Haan, E. Oldehinkel, J. M. van Dieren, L. Boersma, J. A. Langendijk, A. van der Schaaf, J. B. Reitsma, E. Schuit
Summary: This study externally validated a model for predicting 2-year total mortality in lung cancer patients in esophageal cancer patients. The intercept and/or slope of the original model needed adjustment to achieve good performance in esophageal cancer patients.
RADIOTHERAPY AND ONCOLOGY
(2024)
Article
Oncology
Dominique Reijtenbagh, Jeremy Godart, Joan Penninkhof, Sandra Quint, Andras Zolnay, Jan-Willem Mens, Mischa Hoogeman
Summary: This study compared the performance of the current PotD strategy with non-adaptive and fully online-adaptive techniques in the treatment of cervical cancer patients. The findings show that the PotD protocol is effective in improving normal tissue sparing compared to no adaptation, while fully online-adaptive approaches can further reduce target volume but come with a more complex workflow.
RADIOTHERAPY AND ONCOLOGY
(2024)
Article
Oncology
Albrecht Weiss, Steffen Loeck, Ting Xu, Zhongxing Liao, Aswin L. Hoffmann, Esther G. C. Troost
Summary: Traditional models for predicting radiation pneumonitis may not be applicable to non-small cell lung cancer patients treated with passively-scattered proton therapy. The use of effective alpha/beta parameter can predict the occurrence of radiation pneumonitis in these patients.
RADIOTHERAPY AND ONCOLOGY
(2024)
Article
Oncology
Z. A. R. Gouw, J. Jeong, A. Rimner, N. Y. Lee, A. Jackson, A. Fu, J-j. Sonke, J. O. Deasy
Summary: This study investigates the effectiveness of non-uniform fractionation schedules in radiotherapy for early-stage non-small cell lung cancer. Through modeling, optimized schedules are proposed to minimize local failures and toxicity risk. The results suggest that non-standard primer shot fractionation can reduce hypoxia-induced radioresistance and improve treatment outcomes.
RADIOTHERAPY AND ONCOLOGY
(2024)
Article
Oncology
Sara Ronchi, Alessandro Cicchetti, Maria Bonora, Rossana Ingargiola, Anna Maria Camarda, Stefania Russo, Sara Imparato, Paolo Castelnuovo, Ernesto Pasquini, Piero Nicolai, Mohssen Ansarin, Michele Del Vecchio, Marco Benazzo, Ester Orlandi, Barbara Vischioni
Summary: This study evaluates the efficacy and toxicity of carbon ion radiotherapy (CIRT) in locally advanced head and neck mucosal melanoma patients. The results show that CIRT is safe and effective in treating the local region, and immunotherapy after relapse can improve overall survival. However, further prospective trials are needed to assess the role of targeted/immune- systemic therapy in this disease.
RADIOTHERAPY AND ONCOLOGY
(2024)
Article
Oncology
Dominik Wawrzuta, Justyna Klejdysz, Marzanna Chojnacka
Summary: This study analyzed articles about radiation oncology published in The New York Times since its inception in 1851, and identified changes in media sentiment and prevalent themes related to radiotherapy. The findings suggest an increasing negative sentiment in media coverage towards radiotherapy, with a shift towards reporting treatment errors, toxicity, and ineffectiveness.
RADIOTHERAPY AND ONCOLOGY
(2024)
Article
Oncology
Elaine Limkin, Pierre Blanchard, Benjamin Lacas, Jean Bourhis, Mahesh Parmar, Lisa Licitra, Quynh-Thu Le, Sue S. Yom, Catherine Fortpied, Johannes Langendijk, Jan B. Vermorken, Jacques Bernier, Jens Overgaard, Jonathan Harris, Jean-Pierre Pignon, Anne Auperin
Summary: This study investigated the impact of season of radiotherapy on the outcomes of head and neck squamous cell cancer patients. The results showed that the season of radiotherapy did not have any significant effect on patient outcomes.
RADIOTHERAPY AND ONCOLOGY
(2024)
Article
Oncology
Fabio L. Cury, Gustavo A. Viani, Andre G. Gouveia, Camila V. S. Freire, Gabriel de A. Grisi, Fabio Y. Moraes
Summary: In limb-sparing treatment of soft tissue sarcoma patients, a 5-day course of preoperative radiotherapy results in high local control and favorable R0 margins, with acceptable complication rates, particularly for patients receiving higher biological equivalent doses.
RADIOTHERAPY AND ONCOLOGY
(2024)
