Article
Oncology
Hongbo Guo, Jiazhou Wang, Xiang Xia, Yang Zhong, Jiayuan Peng, Zhen Zhang, Weigang Hu
Summary: The study found that deep learning-based auto-segmentation of OARs has a nonsignificant impact on most PTV and OARs dose-volume metrics for nasopharyngeal and rectal cancer. Correlations between geometric metrics from auto-segmentation and dosimetric differences were not observed for most OARs.
RADIATION ONCOLOGY
(2021)
Article
Engineering, Biomedical
Y. Zhang, J. Duan, Y. Sa, Y. Guo
Summary: In this paper, a multi-atlas based adaptive active contour model is proposed for automatic segmentation of OARs in brain MR images. Experimental results show that the proposed method achieved more accurate segmentation results in brainstem, eyes, and lens.
Article
Oncology
Yinglin Peng, Yimei Liu, Guanzhu Shen, Zijie Chen, Meining Chen, Jingjing Miao, Chong Zhao, Jincheng Deng, Zhenyu Qi, Xiaowu Deng
Summary: In this study, a modified fully convolutional neural network called OrganNet was used for auto-segmentation of 24 organs at risk (OARs) in the head and neck. The model achieved good segmentation results, with an average Dice similarity coefficient of 83.75%. Specifically, it performed well in both large-volume organs and small-volume organs. Compared to manual-delineation, OrganNet showed comparable or better performance in organ segmentation based on the STAPLE contours.
Article
Oncology
Yi Li, Wenjing Wu, Yuchen Sun, Dequan Yu, Yuemei Zhang, Long Wang, Yao Wang, Xiaozhi Zhang, Yongkai Lu
Summary: The influence of atlas library size and CT cross-slice number on the accuracy and efficiency of the atlas-based auto-segmentation (ABAS) method for cervical cancer radiotherapy was investigated. The results showed that 20 atlas library sizes and corresponding CT cross-slice numbers are enough to ensure the accuracy and efficiency of ABAS automatic contouring.
FRONTIERS IN ONCOLOGY
(2022)
Article
Multidisciplinary Sciences
Weijun Chen, Cheng Wang, Wenming Zhan, Yongshi Jia, Fangfang Ruan, Lingyun Qiu, Shuangyan Yang, Yucheng Li
Summary: Deep learning auto-segmentation technology provides good auto-contouring results for most organs in the chest and abdomen, meeting clinical planning requirements with slight modifications. However, using Atlas for auto-contouring yields inferior results compared to deep learning auto-segmentations, with only some organs usable clinically after modifications.
SCIENTIFIC REPORTS
(2021)
Article
Oncology
Asma Amjad, Jiaofeng Xu, Dan Thill, Ying Zhang, Jie Ding, Eric Paulson, William Hall, Beth A. Erickson, X. Allen Li
Summary: A multi-sequence deep learning based auto-segmentation (mS-DLAS) model was developed to segment upper abdominal organs on MRI. The model could generate reasonable contours within 21 seconds and 71% of the auto-segmented contours had relatively high quality. Additionally, the model successfully segmented 9 out of 16 MRI sequences that were not used in the model training. This research is important for accurate organ and target delineation in clinical radiation therapy.
FRONTIERS IN ONCOLOGY
(2023)
Article
Oncology
Jinyuan Wang, Zhaocai Chen, Cungeng Yang, Baolin Qu, Lin Ma, Wenjun Fan, Qichao Zhou, Qingzeng Zheng, Shouping Xu
Summary: This study evaluated and compared an atlas-based and deep learning-based auto-segmentation scheme for organs at risk in nasopharyngeal carcinoma cases. The trained DL-based segmentation method performed significantly better than the atlas-based segmentation, especially for smaller organs.
FRONTIERS IN ONCOLOGY
(2022)
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
Oncology
Xuming Chen, Shanlin Sun, Narisu Bai, Kun Han, Qianqian Liu, Shengyu Yao, Hao Tang, Chupeng Zhang, Zhipeng Lu, Qian Huang, Guoqi Zhao, Yi Xu, Tingfeng Chen, Xiaohui Xie, Yong Liu
Summary: This study introduced a deep learning-based automatic segmentation algorithm, WBNet, which accurately and efficiently delineates major organs at risk (OARs) on CT images. WBNet outperformed other AS algorithms in terms of DSC values and delineation time, showing great effectiveness in clinical practice.
RADIOTHERAPY AND ONCOLOGY
(2021)
Article
Oncology
Reza Mohammadi, Iman Shokatian, Mohammad Salehi, Hossein Arabi, Isaac Shiri, Habib Zaidi
Summary: This study proposed a method for automatic contouring of organs at risk in high-dose rate brachytherapy using a deep convolutional neural network. By analyzing images of 113 patients with cervical cancer, the method demonstrated excellent accuracy and consistency in segmenting the bladder, rectum, and sigmoid.
RADIOTHERAPY AND ONCOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Jingwei Duan, Carlos E. E. Vargas, Nathan Y. Y. Yu, Brady S. S. Laughlin, Diego Santos Toesca, Sameer Keole, Jean Claude M. Rwigema, William W. W. Wong, Steven E. E. Schild, Xue Feng, Quan Chen, Yi Rong
Summary: This study evaluated and implemented a commercial deep learning auto-segmentation software with incremental retraining function for definitive treatment of prostate cancer patients in a multi-user environment. The custom retrained model showed significant improvement in quantitative and qualitative evaluations, achieving improved physician acceptance and overall clinical utility.
Article
Computer Science, Artificial Intelligence
Yingfeng Liu, Wenzhong Shen, Dongliang Wu, Jie Shao
Summary: This paper proposes an end-to-end multitask segmentation network called IrisST-Net, which can solve iris segmentation and contour parameter extraction problems simultaneously. By simple postprocessing, the network can generate normalized iris images for direct application in iris recognition systems. Experimental results demonstrate that the proposed method outperforms existing approaches in iris segmentation and contour parameter extraction tasks.
APPLIED INTELLIGENCE
(2023)
Review
Oncology
K. Mackay, D. Bernstein, B. Glocker, K. Kamnitsas, A. Taylor
Summary: Auto-contouring has the potential to revolutionize future radiotherapy treatment planning. However, the lack of consensus on how to assess and validate auto-contouring systems currently limits their clinical use. This review highlights the significant variation in assessment metrics used and calls for standardization in clinical implementation of auto-contouring.
Article
Oncology
Yuka Urago, Hiroyuki Okamoto, Tomoya Kaneda, Naoya Murakami, Tairo Kashihara, Mihiro Takemori, Hiroki Nakayama, Kotaro Iijima, Takahito Chiba, Junichi Kuwahara, Shouichi Katsuta, Satoshi Nakamura, Weishan Chang, Hidetoshi Saitoh, Hiroshi Igaki
Summary: This study conducted automatic segmentations for OAR in patients with prostate and head and neck cancer using atlas- and AI-based models, revealing higher accuracy of the AI-based model for prostate cancer while no significant difference was found for head and neck cancer. Visual evaluation showed less need for manual correction in AI-based segmentation, indicating higher segmentation efficiency than atlas-based model.
RADIATION ONCOLOGY
(2021)
Article
Oncology
Maria Kawula, Dinu Purice, Minglun Li, Gerome Vivar, Seyed-Ahmad Ahmadi, Katia Parodi, Claus Belka, Guillaume Landry, Christopher Kurz
Summary: The aim of this study was to investigate the impact of state-of-the-art 3D U-Net-generated organ delineations on dose optimization in radiation therapy for prostate cancer patients. The study found no strong statistically significant correlation between geometric and dosimetric metrics. It highlighted the importance of adding dosimetric analysis to the standard geometric evaluation.
RADIATION ONCOLOGY
(2022)
Article
Oncology
Wanzun Lin, Xianxin Qiu, Pian Sun, Yuling Ye, Qingting Huang, Lin Kong, Jiade J. Lu
Summary: While successful clinical trials of immunotherapy have shown promising strategies for many cancers, its application in glioma has lagged behind compared to other cancers. This study focused on the molecular alterations affecting therapeutic response in lower-grade glioma (LGG) and characterized the immunological phenotypes with different molecular subtypes to improve our understanding and application of immunotherapies in LGG. The research collected data from 1,052 patients, stratified them into three genetic subgroups, and discovered distinct immunological tumor microenvironments associated with IDH mutations and 1p/19q codeletions in LGG, ultimately leading to the construction of an immune-related prognostic signature that predicts overall survival time in LGG.
MOLECULAR THERAPY-ONCOLYTICS
(2021)
Review
Cell Biology
Vivek Kumar, Mohit Vashishta, Lin Kong, Xiaodong Wu, Jiade J. Lu, Chandan Guha, B. S. Dwarakanath
Summary: Resistance to therapy is a major challenge in cancer management, with cancer cells rewiring their cellular processes to resist the deleterious effects of various therapeutic approaches. Understanding the role of developmental pathways in cancer and their contribution to resistance can lead to insights for developing novel therapeutic approaches. Recognizing the importance of molecular networks in overcoming drug resistance can provide a rational basis for improving cancer treatment with safer and more effective combined therapeutic strategies.
FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY
(2021)
Article
Oncology
Jian Chen, Jingfang Mao, Ningyi Ma, Kai-Liang Wu, Jiade Lu, Guo-Liang Jiang
Summary: The study evaluated the effects and toxicities of carbon ion radiotherapy in the management of tracheobronchial adenoid cystic carcinoma. Among 18 eligible patients, the 2-year overall survival, local control, and progression-free survival rates were 100%, 100%, and 61.4%, respectively, with an overall response rate of 88.2%. Only one patient experienced severe tracheal stenosis after CIRT, which was relieved after stent implantation.
Article
Radiology, Nuclear Medicine & Medical Imaging
Shubing Jia, Jian Chen, Ningyi Ma, Jingfang Zhao, Jingfang Mao, Guoliang Jiang, Jiade Lu, Kailiang Wu
Summary: This study demonstrates the dosimetric benefits of adaptive carbon ion radiotherapy (CIRT) for locally advanced non-small cell lung cancer (LANSCLC) and compares the differences between patients with and without adaptive plans. The results show that adaptive plans can ensure target coverage and reduce spinal cord dose. Patients with adaptive plans have larger tumor volumes and greater volume changes. iGTV volume changes and iGTV center movements are the main factors influencing adaptive planning.
Article
Oncology
Fangzhu Wan, Haojiong Zhang, Jiyi Hu, Li Chen, Shikai Geng, Lin Kong, Jiade J. Lu
Summary: This study identified miR-125a as highly expressed in normal nasopharyngeal epithelial tissue compared to nasopharyngeal carcinoma. It demonstrated that miR-125a inhibits the migration and vasculogenic mimicry (VM) formation in nasopharyngeal carcinoma cells, targeting TAZ. Additionally, artificial engineering of mesenchymal stem cells (MSCs) allowed the generation of miR-125a-overexpressing exosomes which attenuated VM formation and migration in nasopharyngeal carcinoma, providing a potential therapeutic approach.
FRONTIERS IN ONCOLOGY
(2022)
Article
Ophthalmology
Jingli Guo, Xianxin Qiu, Wenyi Tang, Gezhi Xu, Michael F. Moyers, Wei Ren, Ying Xing, Jin Gao, Jiayao Sun, Jiade Lu, Lin Kong, Wei Liu
Summary: The study demonstrates that PBI combined with IVC may help promote regression and closure of polyps in PCV, reduce central macular thickness, and improve BCVA with good safety profile after 12 months. Hence, PBI may be a useful adjuvant therapy for patients with refractory or recurrent PCV.
OPHTHALMOLOGY AND THERAPY
(2022)
Article
Oncology
Dong Yang, Weiwei Wang, Jiyi Hu, Weixu Hu, Xiyu Zhang, Xiaodong Wu, Jiade J. Lu, Lin Kong
Summary: This study investigated the feasibility of lattice radiotherapy (LRT) using proton or carbon-ion beams in the treatment of sinonasal malignancies. The results showed that proton and carbon-ion LRT plans can better protect critical organs compared to photon LRT plans, despite minimal differences in PVDR.
ANNALS OF TRANSLATIONAL MEDICINE
(2022)
Article
Oncology
Yun Chiang, Yu-Chieh Tsai, Chung-Chieh Wang, Fu-Jen Hsueh, Chao-Yuan Huang, Shiu-Dong Chung, Chung-Hsin Chen, Yeong-Shiau Pu, Jason Chia-Hsien Cheng
Summary: This study investigates the interaction between tumor-associated macrophages (TAMs) and radiation therapy (RT) in the context of bladder cancer radioresistance. The findings suggest that bladder cancer cells respond to RT by producing CCL2, which recruits TAM precursors from the bone marrow and polarizes M1-type TAMs toward the M2 type. This phenotypic TAM transformation promotes the pulmonary metastasis of bladder cancer cells after RT.
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
(2022)
Article
Oncology
Robert L. Foote, Hirohiko Tsujii, Reiko Imai, Hiroshi Tsuji, Eugen B. Hug, Tatsuaki Kanai, Jiade J. Lu, Juergen Debus, Rita Engenhart-Cabillic, Anita Mahajan
Summary: As of December 31, 2020, there were 12 facilities in Asia and Europe providing carbon ion radiotherapy (CIRT) for cancer patients, with a total of 37,548 patients treated worldwide. The absence of CIRT facilities in the U.S. limits access to this treatment for American cancer patients and prevents their inclusion in phase III clinical trials, which are essential for FDA approval and insurance coverage. Overcoming this barrier would require establishing a limited number of CIRT facilities in the U.S.
FRONTIERS IN ONCOLOGY
(2022)
Article
Gastroenterology & Hepatology
Chiao-Ling Tsai, Po-Sheng Yang, Feng-Ming Hsu, Ann-Lii Cheng, Wan-Ni Yu, Jason Chia-Hsien Cheng
Summary: This study investigated the effect of TOP1 inhibition and DNA-PKcs/RNF144A mechanism on radiosensitization mediated by natural killer (NK) cells in radiation therapy (RT). The results showed that TOP1 inhibitors and RT had a synergistic effect on hepatocellular carcinoma (HCC) cells, enhancing the anti-HCC effect of RT through increased DNA damage and DNA-PKcs signaling. RNF144A mediated DNA-PKcs ubiquitination and provided a reason for the difference in radiosensitization effect between HCC cells.
JOURNAL OF CLINICAL AND TRANSLATIONAL HEPATOLOGY
(2023)
Article
Oncology
Yu-Chieh Tsai, Tzu-Yin Wang, Chia-Lang Hsu, Wei-Chou Lin, Jyun-Yu Chen, Jia-Hua Li, Yeong-Shiau Pu, Ann-Lii Cheng, Jason Chia-Hsien Cheng, Sheng-Fang Su
Summary: This study found that inhibiting HDAC6 can enhance the radiosensitivity of bladder cancer and reduce the expression of genes related to cell migration, angiogenesis, and metastasis induced by radiotherapy, thereby improving therapeutic efficacy.
BRITISH JOURNAL OF CANCER
(2023)
Article
Medicine, General & Internal
Mei -Chi Tsui, Jason Chia-Hsien Cheng, Chang-Ping Lin
Summary: This study investigates the treatment outcome, visual outcome, and adverse effects of five-fraction stereotactic radiosurgery (SRS) combined with a non-invasive eye immobilization device for medium-to-large sized uveal melanoma. The results show that SRS with the eye immobilization device is an effective and safe alternative for preserving the eye.
JOURNAL OF THE FORMOSAN MEDICAL ASSOCIATION
(2023)
Article
Oncology
Jina Kim, Jason Chia-Hsien Cheng, Taek-Keun Nam, Jin Hee Kim, Byoung Kuk Jang, Wen-Yen Huang, Hiroshi Aikata, Myungsoo Kim, Jung Hyun Kwon, Jinbo Yue, Victor Ho Fun Lee, Zhaochong Zeng, Jinsil Seong
Summary: This study compared the efficacy of liver-directed combined radiotherapy (LD combined RT) with sorafenib in hepatocellular carcinoma patients presenting portal vein tumor thrombosis. The LD combined RT group showed significantly improved overall survival and a higher conversion rate to curative surgery. Despite the multimodality of the treatment, LD combined RT had comparable toxicity rates to sorafenib.
Article
Immunology
Wanzun Lin, Jing Gao, Haojiong Zhang, Li Chen, Xianxin Qiu, Qingting Huang, Jiyi Hu, Lin Kong, Jiade J. Lu
Summary: This study classified lower-grade glioma (LGG) into inflammation-, low, -mid, and -high subtypes based on the inflammatory response, which have distinct clinicopathologic features, prognosis, and tumor microenvironment. An inflammation-related prognostic model was also established with strong predictive power for prognosis assessment.
INFLAMMATION AND REGENERATION
(2022)
Review
Oncology
Anna Lee, Sarin Kitpanit, Marina Chilov, Johannes A. Langendijk, Jiade Lu, Nancy Y. Lee
Summary: This study systematically reviewed the literature on proton therapy in nasopharyngeal cancer patients, finding that proton therapy can maintain good treatment outcomes while reducing toxic dose to normal tissues. Compared with intensity-modulated radiation therapy, proton therapy showed lower rates of feeding tube and mucositis, indicating an improved toxicity profile in NPC patients.
INTERNATIONAL JOURNAL OF PARTICLE THERAPY
(2021)
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)