Article
Biology
Bartosz Bak, Agnieszka Skrobala, Anna Adamska, Joanna Kazmierska, Natalia Jozefacka, Tomasz Piotrowski, Julian Malicki
Summary: This study describes a new protocol for adaptive radiotherapy in head and neck cancer patients and evaluates its effectiveness and predictors for the need of replanning. The results show that advanced stage disease, chemoradiation, increased weight loss, and oropharyngeal localization are associated with the need for adaptive radiotherapy.
Article
Oncology
Simon Boeke, David Monnich, Janita E. van Timmeren, Panagiotis Balermpas
Summary: In recent years, the development of new hybrid machines consisting of an MRI and a linear accelerator, MRgRT has revolutionized the field of radiotherapy, especially for HNC patients. However, its application is still in its infancy, and future challenges in terms of new technical, clinical, and logistic aspects need to be addressed.
FRONTIERS IN ONCOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Juan A. Garcia-Alvarez, Hualiang Zhong, Christopher J. Schultz, X. Allen Li, Kristofer Kainz
Summary: This study estimates the dose reconstruction uncertainties in daily deformable dose accumulation during CT-guided radiotherapy of head-and-neck cancer and provides confidence intervals and threshold values to guide clinical decision-making.
Review
Oncology
Danny Lavigne, Sweet Ping Ng, Brian O'Sullivan, Phuc Felix Nguyen-Tan, Edith Filion, Laurent Letourneau-Guillon, Clifton D. Fuller, Houda Bahig
Summary: Magnetic resonance-guided radiation therapy (MRgRT) is a method that uses magnetic resonance imaging (MRI) information to guide radiation treatment planning in patients with head and neck cancer. It has several potential advantages, including enhanced evaluation, adaptive adjustment, hypofractionation, and multiparametric response assessment.
Article
Oncology
Sarah Weppler, Harvey Quon, Colleen Schinkel, Adam Yarschenko, Lisa Barbera, Nabhya Harjai, Wendy Smith
Summary: The study aimed to reduce toxicity incidence among head and neck cancer patients through adaptive radiation therapy (ART). Results showed a strong association between patient-reported dysphagia symptoms and the delivered dose to the pharyngeal constrictor.
FRONTIERS IN ONCOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Abdul K. Parchur, Sara Lim, Haidy G. Nasief, Eenas A. Omari, Ying Zhang, Eric S. Paulson, William A. Hall, Beth Erickson, X. Allen Li
Summary: In this study, a machine learning algorithm based on structural similarity index measure (SSIM) and change in entropy was developed to determine whether daily online adaptive replanning (OLAR) is necessary for a daily MRI set. Results showed that the machine learning classifier was able to predict OLAR necessity with a cross validated AUC of 0.93.
Article
Radiology, Nuclear Medicine & Medical Imaging
David Nash, Antony L. Palmer, Marcel van Herk, Alan McWilliam, Eliana Vasquez Osorio
Summary: This study investigates the impact of using propagated OAR contours for adaptive radiotherapy replanning. The results show that propagated contours can be safely used, but the accuracy of the contours should be assessed for organ doses close to clinical tolerance.
PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS
(2022)
Review
Medicine, Research & Experimental
Yu-Jin Lee, Giri Krishnan, Naoki Nishio, Nynke S. van den Berg, Guolan Lu, Brock A. Martin, Stan van Keulen, Alexander D. Colevas, Shrey Kapoor, Jonathan T. C. Liu, Eben L. Rosenthal
Summary: The rate of positive margins in head and neck cancers has remained steady over the past three decades, indicating the need for significant improvements intraoperatively to ensure negative margins. Fluorescence imaging plays a crucial role in guiding surgical oncology for head and neck cancer, offering promising clinical applications and future possibilities.
Review
Oncology
Brigid A. McDonald, Cornel Zachiu, John Christodouleas, Mohamed A. Naser, Mark Ruschin, Jan-Jakob Sonke, Daniela Thorwarth, Daniel Letourneau, Neelam Tyagi, Tony Tadic, Jinzhong Yang, X. Allen Li, Uffe Bernchou, Daniel E. Hyer, Jeffrey E. Snyder, Edyta Bubula-Rehm, Clifton D. Fuller, Kristy K. Brock
Summary: MRI-linear accelerator (MR-linac) devices have enabled MR-guided adaptive radiation therapy (MRgART). However, adaptive radiation therapy highlights challenges in calculating the total delivered dose due to anatomical changes and different treatment plans. Dose accumulation strategies can be employed for ART to estimate the delivered dose. In MRgART, plan adaptation on MRI requires additional considerations in the dose accumulation process.
FRONTIERS IN ONCOLOGY
(2023)
Article
Oncology
Michelle L. Qiu, Austin J. Iovoli, Michael Khan, Mark K. Farrugia, Sung Jun Ma, Anurag K. Singh
Summary: Prophylactic high-dose gabapentin can reduce opioid use and delay the need for opioids in patients undergoing radiotherapy for head and neck cancer. In a study of 480 patients, those given high-dose gabapentin had lower opioid use and a longer time before requiring opioids.
Review
Medicine, General & Internal
Mayur D. Mody, James W. Rocco, Sue S. Yom, Robert Haddad, Nabil F. Saba
Summary: Head and neck cancer is the seventh most common type of cancer worldwide, with the predominant risk factors being tobacco use, alcohol abuse, and oncogenic viruses. Treatment typically involves a multidisciplinary approach with surgery, radiotherapy, and systemic therapy, and is challenging due to site-specific and histology-specific variations.
Article
Engineering, Biomedical
Xianjin Dai, Yang Lei, Tonghe Wang, Jun Zhou, Soumon Rudra, Mark McDonald, Walter J. Curran, Tian Liu, Xiaofeng Yang
Summary: This study develops a deep-learning-based automated multi-organ segmentation method using a novel R-CNN architecture, which can accurately and quickly delineate organ-at-risk in head-and-neck cancer radiotherapy, saving labor and time.
PHYSICS IN MEDICINE AND BIOLOGY
(2022)
Article
Otorhinolaryngology
Maria J. Garcia-Anaya, Rafael Ordonez, Maria D. Toledo, Raquel C. Correa, Ana Otero, Alicia Roman, Isabel Garcia-Rios, Jose A. Medina, Jaime Gomez-Millan
Summary: The study found that this palliative hypofractionated radiation therapy regimen for head and neck cancer has a high rate of palliation, with good compliance and acceptable toxicity. Additionally, the radiation dose is an important predictive factor for achieving palliation.
HEAD AND NECK-JOURNAL FOR THE SCIENCES AND SPECIALTIES OF THE HEAD AND NECK
(2021)
Article
Oncology
Falk Roeder, Gerd Fastner, Christoph Fussl, Felix Sedlmayer, Markus Stana, Johannes Berchtold, Tarkan Jaeger, Jaroslav Presl, Philipp Schredl, Klaus Emmanuel, Daniela Colleselli, Gabriel Kotolacsi, Philipp Scherer, Philipp Steininger, Christoph Gaisberger
Summary: This study reports the first abdomino-pelvic application of image-guided intraoperative electron radiation therapy. By using real time dose calculation and individual patient anatomy, this new approach overcomes the limitations of traditional IORT procedures. Necessary adjustments in equipment and workflow were made to implement this technique.
RADIATION ONCOLOGY
(2023)
Article
Medicine, Research & Experimental
Gabriel Raab, Christopher Babu, Yao Yu, Babak Givi, Richard J. Wong, Nancy Y. Lee, Kaveh Zakeri
Summary: The study aimed to determine the rate of inadequate adjuvant radiotherapy for head and neck cancer among older adults and identify associated risk factors. The National Cancer Database was reviewed to identify eligible patients, and various analyses were conducted to evaluate the risk factors for inadequate radiotherapy dosing. The results showed that a substantial proportion of older patients did not complete the full treatment, and older age, year of diagnosis, non-intensity-modulated radiotherapy, and living in a lower-income area were associated with early termination of radiotherapy.
Article
Radiology, Nuclear Medicine & Medical Imaging
Bo Liu, Tianyu Xiong, Jian Lu, Shengwei Li, Xiangzhi Bai, Fugen Zhou, Qiuwen Wu
Summary: This study proposed a fast and accurate analytical dose calculation method for seed-loaded stent treatment planning, utilizing dose perturbation kernels and inhomogeneity corrections to effectively handle the presence of stents and tissue heterogeneity. The proposed method showed good agreement with Monte Carlo calculations and demonstrated computational efficiency, making it suitable for dose evaluation and optimization in clinical practice.
Article
Oncology
Wentao Wang, Yang Sheng, Manisha Palta, Brian Czito, Christopher Willett, Martin Hito, Fang-Fang Yin, Qiuwen Wu, Yaorong Ge, Q. Jackie Wu
Summary: A deep learning framework was proposed for pancreas stereotactic body radiation therapy planning, with plans completed on average in under 2 minutes. Testing showed predicted plans achieved similar dose distribution compared with benchmark plans, with high clinical acceptability.
ADVANCES IN RADIATION ONCOLOGY
(2021)
Article
Oncology
Bradley G. Ackerson, Qiuwen Wu, Oana Craciunescu, Taofik Oyekunle, Donna Niedzwiecki, Jennie Gupton, Patrick Laug, Karibee Brumfield, Erin Crain, Colin E. Champ, Chris R. Kelsey
Summary: This study aimed to compare the dosimetric and clinical results of a recumbent total skin electron beam therapy (TSEBT) technique with a conventional standing TSEBT technique. Results showed significant differences in measured dose at certain body sites between the two techniques, with higher dose delivery with the standing technique. However, rates of complete response, partial response, and stable disease were similar between the two cohorts. The recumbent technique was found to be a viable alternative to the standing method for eligible patients.
ADVANCES IN RADIATION ONCOLOGY
(2021)
Article
Engineering, Biomedical
Xinyi Li, Q. Jackie Wu, Qiuwen Wu, Chunhao Wang, Yang Sheng, Wentao Wang, Hunter Stephens, Fang-Fang Yin, Yaorong Ge
Summary: This study systematically analyzes the prediction errors of a deep-learning-based fluence map prediction model to understand its impact on clinical planning. The findings show significant correlations between most planning target volume metrics and error decompositions, with errors in the low-frequency region having the most significant impact on overall plan quality.
PHYSICS IN MEDICINE AND BIOLOGY
(2021)
Article
Engineering, Biomedical
Wentao Wang, Yang Sheng, Manisha Palta, Brian Czito, Christopher Willett, Fang-Fang Yin, Qiuwen Wu, Yaorong Ge, Q. Jackie Wu
Summary: Transfer learning significantly reduces the number of training cases and training time needed to train a DL framework. The adrenal transfer learning model achieved validation plan scores of 85.4/91.2/90.7/89.4 with 5/10/15/20 training cases, suggesting model performance saturated with 10 cases. Models using all 20 adrenal training cases without transfer learning scored lower at 80.5. In the final test set, the 5/10/15/20-case models achieved scores of 73.5/75.3/78.9/83.3.
PHYSICS IN MEDICINE AND BIOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Martin Hito, Wentao Wang, Hunter Stephens, Yibo Xie, Ruilin Li, Fang-Fang Yin, Yaorong Ge, Q. Jackie Wu, Qiuwen Wu, Yang Sheng
Summary: This study investigated a clinical robustness assessment tool for AI based treatment planning methods in pancreatic SBRT. The results showed promising robustness of the AI tool, indicating its readiness for clinical implementation. Establishing workflow could guide the process of assuring clinical readiness of future AI based treatment planning tools.
QUANTITATIVE IMAGING IN MEDICINE AND SURGERY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Hunter Stephens, Q. Jackie Wu, Qiuwen Wu
Summary: This study investigates the impact of introducing matrix sparsity through kernel truncation on dose calculation for fluence optimization in radiation therapy treatment planning using deep learning algorithms. The results show that sparsity can significantly reduce computation time and storage space while maintaining high accuracy rates. The potential cost savings of over 10 times compared to dense calculations make this approach not only faster but also capable of calculations that dense algorithms cannot perform on the same system.
BIOMEDICAL PHYSICS & ENGINEERING EXPRESS
(2022)
Article
Oncology
Bin Liang, Ran Wei, Jianghu Zhang, Yongbao Li, Tao Yang, Shouping Xu, Ke Zhang, Wenlong Xia, Bin Guo, Bo Liu, Fugen Zhou, Qiuwen Wu, Jianrong Dai
Summary: The study successfully utilized a deep learning framework for the optimization of circular cone based robotic radiotherapy, achieving more efficient treatment outcomes compared to commercial systems and significantly reducing the time and complexity of plan optimization.
RADIATION ONCOLOGY
(2022)
Article
Engineering, Biomedical
Xinyi Li, Yaorong Ge, Qiuwen Wu, Chunhao Wang, Yang Sheng, Wentao Wang, Hunter Stephens, Fang-Fang Yin, Q. Jackie Wu
Summary: This study aimed to improve the input feature design in a deep learning (DL) model for fluence map prediction (FMP) in intensity-modulated radiation therapy (IMRT). Different input feature designs were examined and the results showed that local anatomical information is crucial for predicting fluence maps, while input features from beam angles are needed for optimal planning target volume (PTV) coverage.
PHYSICS IN MEDICINE AND BIOLOGY
(2022)
Article
Oncology
Xile Zhang, Fugen Zhou, Bo Liu, Tianyu Xiong, Xiangzhi Bai, Qiuwen Wu
Summary: The study investigates the need for multiple photon energies in modern Linacs for radiation therapy. Through the principle of photon energy synthesis, it is shown that a Linac with two photon energies can produce dosimetrically equivalent plans of any energy in-between. This finding supports the idea that there is no need for more than two photon energies on each Linac, which can significantly reduce equipment costs for radiation therapy.
FRONTIERS IN ONCOLOGY
(2022)
Article
Oncology
David J. Carpenter, Pranalee Patel, Donna Niedzwiecki, Mairead Dillon, Alexander K. Diaz, Abhishek Kumar, Yvonne M. Mowery, Kerri-Anne Crowell, Rachel D'Anna, Qiuwen Wu, Anna Rodrigues, Amy J. Wisdom, Jennifer A. Dorth, Pretesh R. Patel, Cynthia K. Shortell, David M. Brizel
Summary: The study found that HNC survivors are at high risk for post-RT carotid artery stenosis (CAS), with a dose response effect observed for asymptomatic CAS at doses as low as 10 Gy.
Article
Radiology, Nuclear Medicine & Medical Imaging
Zhuo Xiao, Tianyu Xiong, Lishen Geng, Fugen Zhou, Bo Liu, Haitao Sun, Zhe Ji, Yuliang Jiang, Junjie Wang, Qiuwen Wu
Summary: This study aims to develop an accurate and efficient deep convolutional neural network dose engine (DCNN-DE) and an automatic SIBT planning method for head and neck cancers. The DCNN-DE accurately predicts the dose map using a modified TG-43 method, CT images, and a novel inter-seed shadow map. The proposed planning method automatically generates needle paths and optimizes seed positions. The study validates the accuracy and feasibility of the methods.
Meeting Abstract
Oncology
P. Patel, D. J. Carpenter, A. K. Diaz, Y. M. Mowery, R. D'Anna, D. Niedzwiecki, A. Rodrigues, A. J. Wisdom, J. A. Dorth, P. R. Patel, C. K. Shortell, D. M. Brizel
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
(2022)
Article
Surgery
P. James Jensen, Jordan A. Torok, C. Rory Goodwin, Scott R. Floyd, Qiuwen Wu, Q. Jackie Wu, John P. Kirkpatrick
Summary: Targeting the epidural space in SSRS may increase control in the epidural space without significantly increasing the risk of spinal cord toxicity, as evidenced by higher doses to epidural regions and statistically significant differences in D-95% values between supplemented plans and base plans. Further clinical trials of this approach should be considered.
JOURNAL OF RADIOSURGERY AND SBRT
(2022)
Meeting Abstract
Radiology, Nuclear Medicine & Medical Imaging
W. Wang, Y. Sheng, M. Palta, B. Czito, C. Willett, F. Yin, Q. Wu, Q. J. Wu, Y. Ge