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
Oncology
Masahiro Inada, Yasumasa Nishimura, Satoshi Ishikura, Kazuki Ishikawa, Naoya Murakami, Takeshi Kodaira, Yoshinori Ito, Kazuhiko Tsuchiya, Yuji Murakami, Junichi Saito, Tetsuo Akimoto, Kensei Nakata, Michio Yoshimura, Teruki Teshima, Takashi Toshiyasu, Yosuke Ota, Toshiyuki Minemura, Hidetoshi Shimizu, Masahiro Hiraoka
Summary: This study aimed to determine the organ-specific dose constraints for head and neck carcinoma patients treated with IMRT. The results showed that the dose constraint criteria were appropriate for most organs, but stricter dose constraints might be necessary for the inner ear, pharyngeal constrictor muscle, and brainstem.
RADIATION ONCOLOGY
(2022)
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)
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
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
Otorhinolaryngology
Mona Arbab, Yu-Hui Chen, Roy B. Tishler, Lauren Gunasti, Jason Glass, Jo Ann Fugazzotto, Joseph H. Killoran, Rosh Sethi, Eleni Rettig, Donald Annino, Laura Goguen, Ravindra Uppaluri, Carolyn Hsu, Elaine Burke, Glenn J. Hanna, Jochen Lorch, Robert Haddad, Danielle N. Margalit, Jonathan D. Schoenfeld
Summary: This study retrospectively evaluated patient-reported outcomes and dose to organs at risk (OARs) in head and neck cancer patients. The results showed weak associations between patient-reported outcomes and dose to OARs, which can guide treatment management, patient counseling, and serve as a baseline for future investigations.
HEAD AND NECK-JOURNAL FOR THE SCIENCES AND SPECIALTIES OF THE HEAD AND NECK
(2022)
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
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
Computer Science, Interdisciplinary Applications
Bin Huang, Yufeng Ye, Ziyue Xu, Zongyou Cai, Yan He, Zhangnan Zhong, Lingxiang Liu, Xin Chen, Hanwei Chen, Bingsheng Huang
Summary: In this study, a 3D lightweight framework for simultaneous registration and segmentation of organ-at-risk (OAR) in head and neck cancer was proposed. The framework achieved fast, accurate, and robust results, demonstrating its potential to assist oncologists in OAR delineation.
IEEE TRANSACTIONS ON MEDICAL IMAGING
(2022)
Article
Oncology
G. Noel, D. Antoni
Summary: This article presents the updated recommendations of the French Society of Oncological Radiotherapy regarding the use of dose constraints in radiotherapy, including reirradiation.
CANCER RADIOTHERAPIE
(2022)
Article
Health Care Sciences & Services
Chiu-Ping Chen, Tung-Ho Chen, Jeng-Fong Chiou, Yi-Ju Chen, Chia-Chun Kuo, Kuo-Hsiung Tseng, Meng-Yun Chung, Chun-You Chen, Jeng-You Wu, Long-Sheng Lu, Shih-Ming Hsu
Summary: This study evaluated the dose differences in normal organs at risk when using personalized breast holder (PERSBRA) with intensity-modulated radiation therapy (IMRT) and found that PERSBRA greatly reduces the dose to organs at risk such as the heart, left lung, left ventricle, and LAD.
JOURNAL OF PERSONALIZED MEDICINE
(2022)
Article
Oncology
Sarah Grosshagauer, Piero Fossati, Mansure Schafasand, Antonio Carlino, Karin Poljanc, Tobias Radakovits, Markus Stock, Eugen Hug, Petra Georg, Maciej Pelak, Joanna Gora
Summary: This study analyzed the CIRT treatment plans for brain parenchyma, brainstem, and optic system based on the new set of LEM dose constraints and evaluated the early clinical data considering both RBE models. The results showed that the currently applied LEM constraints matched the recommended MKM constraints with deviations. Outliers were observed in some cases where the data did not follow the expected LEM vs MKM trends. Radiological toxicity was detected in two outlier cases. Therefore, it is important to fulfill the constraints for both RBE models and carefully select planning strategies for future CIRT patients at MedAustron.
RADIOTHERAPY AND ONCOLOGY
(2022)
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.
Article
Oncology
Heleen Bollen, Julie van der Veen, Annouschka Laenen, Sandra Nuyts
Summary: IMRT and VMAT have become standard of care in treating head and neck cancer. By analyzing treatment failure patterns, this study indirectly investigated the quality of target volume delineation and treatment delivery, which were performed accurately with few recurrences outside high-dose regions and no marginal failures observed.
FRONTIERS IN ONCOLOGY
(2021)
Article
Oncology
J. John Lucido, Todd A. DeWees, Todd R. Leavitt, Aman Anand, Chris J. Beltran, Mark D. Brooke, Justine R. Buroker, Robert L. Foote, Olivia R. Foss, Angela M. Gleason, Teresa L. Hodge, Cian O. Hughes, Ashley E. Hunzeker, Nadia N. Laack, Tamra K. Lenz, Michelle Livne, Megumi Morigami, Douglas J. Moseley, Lisa M. Undahl, Yojan Patel, Erik J. Tryggestad, Megan Z. Walker, Alexei Zverovitch, Samir H. Patel
Summary: This study evaluated the use of a deep learning (DL) model to reduce the time required for organ-at-risk contouring in head and neck cancer radiation therapy, while maintaining contour accuracy. The results showed that using the DL model significantly reduced contouring time and resulted in higher contour accuracy compared to contouring by a medical dosimetry assistant (MDA).
FRONTIERS IN ONCOLOGY
(2023)
Article
Oncology
Ariel E. Marciscano, Adriana Haimovitz-Friedman, Percy Lee, Phuoc T. Tran, Wolfgang A. Tome, Chandan Guha, Feng-Ming (Spring) Kong, Arjun Sahgal, Issam El Naqa, Andreas Rimner, Lawrence B. Marks, Silvia C. Formenti, Theodore L. DeWeese
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Lee Goddard, Kyoungkeun Jeong, Wolfgang A. Tome
Summary: The Radixact Synchrony system allows for target motion correction, requiring a series of QA tests. The evaluation of the Synchrony system using a range of QA devices shows consistently high dosimetric accuracy, with large improvements in dose distribution when motion is accounted for.
Article
Radiology, Nuclear Medicine & Medical Imaging
Hania A. Al-Hallaq, Laura Cervino, Alonso N. Gutierrez, Amanda Havnen-Smith, Susan A. Higgins, Malin Kugele, Laura Padilla, Todd Pawlicki, Nicholas Remmes, Koren Smith, Xiaoli Tang, Wolfgang A. Tome
Summary: The clinical use of surface imaging has significantly increased for patient positioning, motion monitoring, and beam gating. Task Group 302 commissioned by the American Association of Physicists in Medicine reviewed the current uses and emerging applications of surface imaging in clinical settings, providing technical guidelines and recommendations.
Letter
Oncology
Nitin Ohri, Wolfgang A. Tome, Alejandra Mendez Romero, Moyed Miften, Randall K. Ten Haken, Laura A. Dawson, Jimm Grimm, Ellen Yorke, Andrew Jackson
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
N. Patrik Brodin, Leslie Schulte, Christian Velten, William Martin, Sydney Shen, Jin Shen, Amar Basavatia, Nitin Ohri, Madhur K. Garg, Colin Carpenter, Wolfgang A. Tome
Summary: This study quantifies the clinical performance of a machine learning algorithm for organ-at-risk (OAR) dose prediction for lung stereotactic body radiation therapy (SBRT). It shows the potential for improved OAR dose sparing and more consistent plan quality using dose predictions for patient-specific planning guidance.
JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Yunjie Yang, Chengyu Shi, Chin-Cheng Chen, Pingfang Tsai, Minglei Kang, Sheng Huang, Chih-Hsun Lin, Fu-Xiong Chang, Arpit M. Chhabra, J. Isabelle Choi, Wolfgang A. Tome, Charles B. Simone, Haibo Lin
Summary: This study aims to investigate the experimental measurement methods for two-dimensional (2D) dose rate distributions in proton pencil beam scanning (PBS) FLASH radiation therapy (RT). A newly designed 2D strip-segmented ionization chamber array (SICA) with high spatial and temporal resolution was characterized and tested in a modern proton PBS delivery system. The results demonstrated that the SICA has excellent accuracy, linearity, and can accurately measure 2D dose and dose rate distributions.
Article
Oncology
Vinai Gondi, Glenn Bauman, Lisa Bradfield, Stuart H. Burri, Alvin R. Cabrera, Danielle A. Cunningham, Bree R. Eaton, Jona A. Hattangadi-Gluth, Michelle M. Kim, Rupesh Kotecha, Lianne Kraemer, Jing Li, Seema Nagpal, Chad G. Rusthoven, John H. Suh, Wolfgang A. Tome, Tony J. C. Wang, Alexandra S. Zimmer, Mateo Ziu, Paul D. Brown
Summary: This article presents the latest guidelines for the management of brain metastases, including advanced radiation therapy techniques and systemic therapies with central nervous system activity. The guidelines are based on a systematic review and provide recommendations using a predefined consensus-building methodology and grading system. Strong recommendations are made for the use of stereotactic radiosurgery (SRS) and upfront local therapy, with conditional recommendations for surgical resection and safe deferral of local therapy. Additional recommendations are made for patients with limited metastases and favorable prognosis.
PRACTICAL RADIATION ONCOLOGY
(2022)
Article
Oncology
Christian Velten, Lee Goddard, Kyoungkeun Jeong, Madhur K. Garg, Wolfgang A. Tom
Summary: The study assessed the image quality metrics of helical fan beam kVCT and found its comparability in localization and setup verification, but unsuitability for simulation or planning of stereotactic procedures.
ADVANCES IN RADIATION ONCOLOGY
(2022)
Article
Oncology
Brett I. Bell, Justin Vercellino, N. Patrik Brodin, Christian Velten, Lalitha S. Y. Nanduri, Prashanth K. B. Nagesh, Kathryn E. Tanaka, Yanan Fang, Yanhua Wang, Rodney Macedo, Jeb English, Michelle M. Schumacher, Phaneendra K. Duddempudi, Patrik Asp, Wade Koba, Shahin Shajahan, Laibin Liu, Wolfgang A. Tome, Weng-Lang Yang, Richard Kolesnick, Chandan Guha
Summary: This study compared the effects of orthovoltage X-rays and Cs-137 gamma-rays on mouse models of acute radiation syndrome. The results showed that orthovoltage X-rays caused more severe damage to bone marrow, spleen, and intestinal tissue, requiring dose reduction to achieve similar biological effects.
Article
Oncology
Ying Liang, Karen Lee, Joseph A. Bovi, Joshua D. Palmer, Paul D. Brown, Vinai Gondi, Wolfgang A. Tome, Tammie L. S. Benzinger, Minesh P. Mehta, X. Allen Li
Summary: This study investigated the application of deep convolutional neural networks (DCNN) for brain metastases (BM) detection and segmentation on a highly heterogeneous multi-institutional data set. The results showed that the developed DCNN model can automatically detect and segment brain metastases with reasonable accuracy, high sensitivity, and low false positive rate on a multi-institutional data set with non-prespecified and highly variable magnetic resonance imaging sequences.
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
(2022)
Article
Oncology
Fardeen Bhimani, Kelly Johnson, N. Patrik Brodin, Wolfgang A. Tome, Jana Fox, Keyur Mehta, Maureen McEvoy, Sheldon Feldman
Summary: This study aimed to investigate the feasibility and safety of using Intra-operative radiotherapy (IORT) in breast cancer patients with pacemakers. The case reports demonstrated the successful use of targeted IORT for breast-conserving surgery without any pacemaker malfunctions, providing a new treatment option for these patients. Further clinical studies are recommended to explore the effects of IORT on pacemakers and reinforce safety guidelines.
FRONTIERS IN ONCOLOGY
(2022)
Article
Oncology
Megi Gjini, Sadia Ahmed, Shalom Kalnicki, Wolfgang A. Tome, Madhur K. Garg, Rafi Kabarriti, N. Patrik Brodin
Summary: This study aimed to evaluate the changes in parotid glands during mid-treatment of IMRT and the association between radiation dose to parotid gland stem cell (PGSC) region and patient-reported xerostomia. The results showed that there were significant anatomical changes in the size and position of the parotid glands during mid-treatment, and the association between radiation dose to the PGSC region and xerostomia was not stronger than that of the whole parotid gland. Adaptive planning strategies are needed to evaluate the true benefit of parotid stem cell sparing.
Article
Radiology, Nuclear Medicine & Medical Imaging
Christian Velten, Wolfgang A. Tome
Summary: In this research, the physical simulation and biological modeling of nanoparticle-derived radiosensitization were replicated. Monte Carlo simulations were performed to study the interactions between nanoparticles and photons or protons, and biological modeling was used to evaluate the survival fractions of breast cancer cells. The results showed good agreement with previous data, highlighting the importance of a detailed description of photon spectra and reproducibility of experiments. Further investigation of the stochastic nature of nanoparticle radiosensitization is ongoing.
BIOMEDICAL PHYSICS & ENGINEERING EXPRESS
(2023)
Correction
Radiology, Nuclear Medicine & Medical Imaging
Vitali Moiseenko, Wolfgang A. Tome, Stanley H. Benedict
Article
Oncology
N. Patrik Brodin, Christian Velten, Jonathan Lubin, Jeremy Eichler, Shaoyu Zhu, Sneha Saha, Chandan Guha, Shalom Kalnicki, Wolfgang A. Tome, Madhur K. Garg, Rafi Kabarriti
Summary: This study investigated whether pre-treatment primary tumor PET features could predict progression-free survival or distant metastases in oropharyngeal cancer patients. The results showed that radiomic features could predict PFS and DM risk, potentially providing immunotherapy for high-risk patients.
PHYSICS & IMAGING IN RADIATION ONCOLOGY
(2022)
Article
Oncology
Vanita Noronha, Aditya Dhanawat, Vijay Maruti Patil, Nandini Menon, Ajay Kumar Singh, Pankaj Chaturvedi, Prathamesh Pai, Devendra Chaukar, Sarbani Ghosh Laskar, Kumar Prabhash
Summary: Neo-adjuvant chemotherapy has shown long term survival benefits in patients with locally advanced oral cavity squamous cell carcinomas.
Article
Oncology
Andrea Costantino, Claudio Sampieri, Gian Marco Pace, Bianca Maria Festa, Luca Cerri, Giorgio Gregory Giordano, Michael Dale, Giuseppe Spriano, Giorgio Peretti, Armando De Virgilio
Summary: This study aimed to predict the necessity of enteral nutrition at 28 days after surgery in patients with head and neck cancers. The results showed that the machine learning models had optimistic accuracy in predicting the need for enteral nutrition, but had moderate sensitivity.
Article
Oncology
Lirui Zhang, Qiaoshi Xu, Zhien Feng
Summary: This study presents a comprehensive clinical, genomic, and transcriptomic analysis of primary ghost cell odontogenic carcinoma (GCOC). The results provide the first comprehensive molecular atlas for primary GCOC, including previously identified CTNNB1 mutation and novel alterations in MAP3K, EP300, and the 22q11.21 region. The transcriptome analysis reveals significant involvement of cytokine-cytokine receptor interaction and the PI3K-Akt signaling pathway. More GCOC cases should be compared to validate these findings for accurate clinical guidance.
Article
Oncology
Emily Capone, Vittoria Perrotti, Ilaria Cela, Rossano Lattanzio, Lucrezia Togni, Corrado Rubini, Vito Carlo Alberto Caponio, Lorenzo Lo Muzio, Martina Colasante, Francesco Giansanti, Rodolfo Ippoliti, Stefano Iacobelli, Michael J. Wick, Nicole Spardy Burr, Gianluca Sala
Summary: This study explores the potential of galectin-3 binding protein (LGALS3BP) as a novel target for antibody-drug conjugate (ADC) therapy in adenoid cystic carcinoma (ACC). The results show that LGALS3BP is highly expressed in ACC tissues and treatment with anti-LGALS3BP ADC leads to durable tumor growth inhibition in animal models.
Article
Oncology
Andrea Costantino, Claudio Sampieri, Piero Giuseppe Meliante, Armando De Virgilio, Se-Heon Kim
Summary: This study compares the outcomes of transoral resections using the da Vinci SP and da Vinci Xi systems for oropharyngeal squamous cell carcinoma (OPSCC). The results indicate that the da Vinci SP system has advantages in terms of reduced docking and console times, as well as improved rates of wide negative resection margins. However, there were no significant differences in complication rates or postoperative functional outcomes between the two systems.