Article
Oncology
Roni Hytonen, Reynald Vanderstraeten, Max Dahele, Wilko F. A. R. Verbakel
Summary: The study found that deviations in beam angle and number had minimal effects on plan quality, indicating the robustness of the KBP model to different beam arrangements. Knowledge-based planning solutions have significantly improved treatment planning.
Article
Oncology
Yong Gan, Johannes A. Langendijk, Arjen van der Schaaf, Lisa van den Bosch, Edwin Oldehinkel, Zhixiong Lin, Stefan Both, Charlotte L. Brouwer
Summary: This study aimed to develop an efficient strategy to select candidates for adaptive radiotherapy (ART) in the first two weeks of head and neck cancer (HNC) radiotherapy. By retrospectively analyzing data from 110 HNC patients, it was found that using the difference between planning and actual dose and clinical relevance as cut-off points could identify potential candidates for ART. The proposed strategy showed improved sensitivity, specificity, and predictive values.
RADIOTHERAPY AND ONCOLOGY
(2023)
Article
Oncology
Artuur Marijn Leeuwenberg, Johannes Bernardus Reitsma, Lisa Griet Lydia Jozef van den Bosch, Jeroen Hoogland, Arjen van der Schaaf, Frank Jozef Pieter Hoebers, Oda Bemadette Wijers, Johannes Albertus Langendijk, Karel Gerardus Maria Moons, Ewoud Schuit
Summary: This study investigated the impact of NTCP model performance measures, including AUC, CITL, and CS, on patient selection outcomes in radiotherapy. The results showed that each measure independently affected patient selection outcomes. The practical approach suggested selecting the model with the highest AUC and recalibrating it if needed.
RADIOTHERAPY AND ONCOLOGY
(2023)
Article
Engineering, Biomedical
Arthur Lalonde, Mislav Bobic, Gregory C. Sharp, Ibrahim Chamseddine, Brian Winey, Harald Paganetti
Summary: This study evaluated the impact of reducing setup uncertainty and adapting to geometrical changes on the probability of complications in head and neck proton therapy. The results showed that clinically significant reductions in the risk of complications were only achieved when both setup uncertainty reduction and adaptation to geometrical changes were performed together.
PHYSICS IN MEDICINE AND BIOLOGY
(2023)
Article
Oncology
Jin-Jie Yan, Shan-Shan Guo, Da-Feng Lin, Li-Ting Liu, Sai-Lan Liu, Bei-Bei Xiao, Jin-Hao Yang, Dong-Xiang Wen, Zhen-Chong Yang, Yu-Jing Liang, Qing-Nan Tang, Chao Lin, Xiao-Yun Li, Xue-Song Sun, Ji-Bin Li, Lin-Quan Tang, Qiu-Yan Chen, Hai-Qiang Mai
Summary: This study successfully established and validated an NTCP model and nomogram for predicting acquired nasal cavity stenosis and atresia in nasopharyngeal carcinoma patients after radiotherapy, providing a valuable tool for risk assessment and management of this complication.
RADIOTHERAPY AND ONCOLOGY
(2021)
Article
Oncology
Hanya Mahmood, Muhammad Shaban, Nasir Rajpoot, Syed A. Khurram
Summary: This paper reviews recent literature on the use of Artificial Intelligence/Machine Learning (AI/ML) methods for diagnostic evaluation of head and neck cancers (HNC) through automated image analysis. The studies show that these methods can achieve high accuracy in detection by using various imaging modalities.
BRITISH JOURNAL OF CANCER
(2021)
Article
Oncology
Mostafa Alizade-Harakiyan, Amir Ghasemi Jangjoo, Tohid Jafari-Koshki, Ali Fatemi, Asghar Mesbahi
Summary: This study evaluated the performance of various radiobiological models in predicting acute esophagitis during radiation therapy. The results showed that the behavior of dose-response curves differed between the treatment groups, and different models had different predictive accuracy. New parameter estimates could be used for predicting the probability of acute esophagitis.
JOURNAL OF CANCER RESEARCH AND THERAPEUTICS
(2022)
Article
Oncology
Imran Petkar, Dualta McQuaid, Alex Dunlop, Justine Tyler, Emma Hall, Chris Nutting
Summary: The study evaluated the inter-observer variation in pharyngeal constrictor muscle contouring, finding high inconsistency and some impact on radiotherapy dosimetry and predicted toxicity. However, delineation variability did not significantly affect the mean dose delivered to the constrictor muscles relative to the gold standard plan.
FRONTIERS IN ONCOLOGY
(2021)
Article
Oncology
Anastassia Loeser, Kerstin Ramke, Maximilian Grohmann, Linda Krause, Pia Roser, Franziska Greinert, Anna Finger, Margaret Sommer, Eva Culmann, Tessa Lorenz, Saskia Becker, Marvin Henze, Daniel Schodrok, Julia von Grundherr, Silke Tribius, Andreas Kruell, Cordula Petersen
Summary: Nutritional counseling has an impact on the development of hypothyroidism in head and neck cancer patients undergoing (chemo)radiotherapy, with baseline TSH and ferritin acting as independent predictors. The newly developed NTCP model showed good performance, based on baseline TSH and ferritin levels.
STRAHLENTHERAPIE UND ONKOLOGIE
(2022)
Article
Oncology
Dan-Wan Wen, Li Lin, Yan-Ping Mao, Chun-Yan Chen, Fo-Ping Chen, Chen-Fei Wu, Xiao-Dan Huang, Zhi-Xuan Li, Si-Si Xu, Jia Kou, Xing-Li Yang, Jun Ma, Ying Sun, Guan-Qun Zhou
Summary: The study aimed to develop predictive models using dosimetric and clinical variables for temporal lobe injury in nasopharyngeal carcinoma patients after intensity-modulated radiotherapy. Results showed that D-0.5cc was the most predictive dosimetric factor and the nomogram accurately predicted temporal lobe injury, guiding personalized follow-up management.
RADIOTHERAPY AND ONCOLOGY
(2021)
Article
Oncology
Ameneh Haghbin, Ahmad Mostaar, Reza Paydar, Mohsen Bakhshandeh, Alireza Nikoofar, Mohammad Houshyari, Susan Cheraghi
Summary: This study aims to predict chronic kidney disease (CKD) in patients with abdominal cancers undergoing radiotherapy by evaluating clinical and functional assays. The researchers found that the mean dose model predicts radiation-induced CKD more accurately than other models. This finding is important for the treatment of abdominal cancers.
JOURNAL OF CANCER RESEARCH AND THERAPEUTICS
(2022)
Article
Oncology
Stefano Ursino, Alessia Giuliano, Fabio Di Martino, Paola Cocuzza, Alessandro Molinari, Antonio Stefanelli, Patrizia Giusti, Giacomo Aringhieri, Riccardo Morganti, Emanuele Neri, Claudio Traino, Fabiola Paiar
Summary: A predictive model for radiation-induced dysphagia (RID) was developed by incorporating DVH parameters of swallowing organs at risk (SWOARs) in machine learning analysis using videofluoroscopy. The relevance of SWOARs DVH features emerged at both 6 and 12 months after treatment, indicating high discriminative ability of the model. Additional training datasets are expected to further improve the predictive power of the model.
STRAHLENTHERAPIE UND ONKOLOGIE
(2021)
Review
Biochemistry & Molecular Biology
Jason Tasoulas, Sonal Srivastava, Xiaonan Xu, Valentina Tarasova, Anastasios Maniakas, Florian A. Karreth, Antonio L. Amelio
Summary: The head and neck region is highly susceptible to cancer, with over 1.5 million new cases reported worldwide in 2020. Significant progress has been made in understanding the disease mechanisms and tailoring treatments to individual tumor characteristics using genetically engineered mouse models. These models have successfully replicated various aspects of head and neck cancers.
Article
Oncology
Anne G. H. Niezink, Arjen van der Schaaf, Robin Wijsman, Olga Chouvalova, Anthonie J. van der Wekken, Steven R. Rutgers, Remge M. Pieterman, John W. G. van Putten, Sander M. de Hosson, Annija H. D. van der Leest, Jan F. Ubbels, Marleen Woltman-van Iersel, Joachim Widder, Johannes A. Langendijk, Christina Muijs
Summary: This study aimed to externally validate the QUANTEC and APPELT models for radiation pneumonitis (RP) prediction in a large cohort of lung cancer patients treated with IMRT or VMAT. These models were revised and updated, with the APPELT model showing better discrimination than the recalibrated QUANTEC model.
RADIOTHERAPY AND ONCOLOGY
(2023)
Review
Oncology
Patricia Chaves, Maria Garrido, Javier Oliver, Elisabeth Perez-Ruiz, Isabel Barragan, Antonio Rueda-Dominguez
Summary: Head and neck cancer is the sixth most frequent cancer type, and the existing therapies face challenges of drug resistance and toxicity. Reliable preclinical models are crucial for studying molecular mechanisms and improving clinical outcomes. The most frequently used preclinical models for head and neck squamous cell carcinoma, including cell lines and animal models, are discussed in this review. Their efficiency in mimicking the complexity of the disease is evaluated, and the potential of the models for developing personalized therapies is explored.
BRITISH JOURNAL OF CANCER
(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
Bas A. A. de Jong, Cecilia Battinelli, Jeffrey Free, Dirk Wagenaar, Erik Engwall, Guillaume Janssens, Johannes A. A. Langendijk, Erik W. W. Korevaar, Stefan Both
Summary: The effect of the number of beams and energy layers in a proton arc plan on toxicity and delivery time for oropharyngeal cancer patients was investigated. It was found that using a proton arc plan with 360 energy layers and 30 beams can significantly reduce toxicity and achieve treatment within an acceptable time frame.
Article
Radiology, Nuclear Medicine & Medical Imaging
Carmen Seller Oria, Jeffrey Free, Gabriel Guterres Marmitt, Barbara Knaeusl, Sytze Brandenburg, Antje C. C. Knopf, Arturs Meijers, Johannes A. A. Langendijk, Stefan Both
Summary: A method for accurate WEPL measurement using FP-PR with a reduced number of energies selected for individual patient anatomy was established and validated experimentally. The method has the potential to provide in vivo range verification.
Article
Oncology
Artuur Marijn Leeuwenberg, Johannes Bernardus Reitsma, Lisa Griet Lydia Jozef van den Bosch, Jeroen Hoogland, Arjen van der Schaaf, Frank Jozef Pieter Hoebers, Oda Bemadette Wijers, Johannes Albertus Langendijk, Karel Gerardus Maria Moons, Ewoud Schuit
Summary: This study investigated the impact of NTCP model performance measures, including AUC, CITL, and CS, on patient selection outcomes in radiotherapy. The results showed that each measure independently affected patient selection outcomes. The practical approach suggested selecting the model with the highest AUC and recalibrating it if needed.
RADIOTHERAPY AND ONCOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Adrian Thummerer, Erik van der Bijl, Arthur Galapon, Joost J. C. Verhoeff, Johannes A. Langendijk, Stefan Both, Cornelis (Nico) A. T. van den Berg, Matteo Maspero
Summary: This paper presents a dataset of brain and pelvis computed tomography (CT) images with rigidly registered cone-beam CT (CBCT) and magnetic resonance imaging (MRI) images for the development and evaluation of synthetic CT generation for radiotherapy planning.
Article
Radiology, Nuclear Medicine & Medical Imaging
Baoqiang Ma, Jiapan Guo, Tian-Tian Zhai, Arjen van der Schaaf, Roel J. H. M. Steenbakkers, Lisanne V. van Dijk, Stefan Both, Johannes A. Langendijk, Weichuan Zhang, Bingjiang Qiu, Peter M. A. van Ooijen, Nanna M. Sijtsema
Summary: This study developed a deep learning model to predict multiple and associated efficacy endpoints in oropharyngeal squamous cell carcinoma (OPSCC) patients based on computed tomography (CT). The multi-label learning models outperformed the single endpoint models, especially for 2-year regional control, distant metastasis-free survival, disease-specific survival, overall survival, and disease-free survival, with high AUC values.
Article
Oncology
J. M. Alberga, J. Meijer, G. M. Raghoebar, J. A. Langendijk, A. Korfage, R. J. H. M. Steenbakkers, T. W. H. Meijer, H. Reintsema, A. Vissink, M. J. H. Witjes
Summary: This study compared the radiation dosimetrics of tooth-bearing regions in head and neck cancer patients using IMPT and VMAT, and found that IMPT significantly reduces the radiation dose to these regions.
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
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
Jorinde Janssen, Walter Noordzij, Ton Velleman, Igle Jan de Jong, Johannes A. Langendijk, J. Fred Verzijlbergen, Gilles N. Stormezand, Shafak Aluwini
Summary: This study assessed the interobserver variation in reporting non-specific skeletal uptake of F-18-PSMA-1007 on PET/CT. The results showed that most lesions were qualified as not malignant by the observers, and the interobserver agreement was moderate. Importantly, the non-specific skeletal uptake of F-18-PSMA-1007 did not impair the interobserver agreement.
THERAPEUTIC ADVANCES IN MEDICAL ONCOLOGY
(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
Radiology, Nuclear Medicine & Medical Imaging
Arthur Villanueva Galapon Jr, Adrian Thummerer, Johannes Albertus Langendijk, Dirk Wagenaar, Stefan Both
Summary: This study aims to evaluate the predictive value of uncertainty maps generated with Monte Carlo dropout (MCD) for verifying proton dose calculations on deep-learning-based synthetic CTs (sCTs) derived from MRIs in online adaptive proton therapy.
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)