Article
Oncology
T. N. van de Lindt, M. E. Nowee, T. Janssen, C. Schneider, P. Remeijer, V. W. J. van Pelt, A. Betgen, E. P. M. Jansen, J. J. Sonke
Summary: This study aimed to test the technical feasibility of 4D-MRI guided liver SBRT and investigate target motion and coverage during treatment. The results showed that 4D-MRI guided SBRT was feasible in treating liver metastases, but the occurrence of midposition drifts highlighted the need for motion management strategies to enhance treatment precision.
RADIOTHERAPY AND ONCOLOGY
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Elia Lombardo, Paul Z. Y. Liu, David E. J. Waddington, James Grover, Brendan Whelan, Esther Wong, Michael Reiner, Stefanie Corradini, Claus Belka, Marco Riboldi, Christopher Kurz, Guillaume Landry, Paul J. Keall
Summary: This study compares linear regression (LR) and long-short-term memory (LSTM) motion prediction models for MLC-tracking in MRI-guided radiotherapy. The experiment shows that continuously re-optimized LSTM networks perform the best in reducing system latency and improving localization accuracy, based on multiple patient-derived respiratory motion traces.
Article
Radiology, Nuclear Medicine & Medical Imaging
John A. Charters, Yasin Abdulkadir, Dylan O'Connell, Yingli Yang, James M. Lamb
Summary: This study evaluated the impact of ViewRay's latest upgrade on respiratory gating in radiotherapy. The results showed that respiratory gating at 8 fps with the new tracking algorithms provides similar performance to the original algorithm at 4 fps, but the LDT algorithm had lower accuracy for non-deformable targets.
JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS
(2022)
Article
Computer Science, Artificial Intelligence
Qiaoying Huang, Yikun Xian, Dong Yang, Hui Qu, Jingru Yi, Pengxiang Wu, Dimitris N. Metaxas
Summary: Temporal correlation in dynamic MRI, such as cardiac MRI, is important for understanding motion mechanisms of body regions. Existing deep learning based approaches neglect motion information during reconstruction, while traditional methods are hindered by heuristic parameter tuning and long inference time. The proposed MODRN and MODRN(e2e) enhance reconstruction quality by infusing motion information with deep neural networks, showing effectiveness compared to state-of-the-art approaches.
MEDICAL IMAGE ANALYSIS
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Sihao Chen, Cihat Eldeniz, Tyler J. J. Fraum, Daniel R. R. Ludwig, Weijie Gan, Jiaming Liu, Ulugbek S. S. Kamilov, Deshan Yang, H. Michael Gach, Hongyu An
Summary: A novel method was developed for respiratory motion management in radiation therapy using MRI. This method enables the acquisition of motion-resolved 4D-MRIs and motion-integrated 3D-MRI reconstruction with a single rapid scan, addressing the limitations of existing MRI methods.
Article
Oncology
Valeria Faccenda, Denis Panizza, Martina Camilla Daniotti, Roberto Pellegrini, Sara Trivellato, Paolo Caricato, Raffaella Lucchini, Elena De Ponti, Stefano Arcangeli
Summary: With an increasing acceptance in the radiation oncology community, stereotactic body radiation therapy (SBRT) has become a common option for localized prostate cancer. This study investigated the dosimetric impact of both intrafraction prostate motion and interfraction anatomical changes in dose-escalated SBRT. The results showed that the implemented motion management strategy, along with other treatment optimization strategies, ensured no significant degradation of dose metrics in delivered treatments.
Article
Oncology
Annarita Perillo, Valeria Landoni, Alessia Farneti, Giuseppe Sanguineti
Summary: This study evaluated inter- and intra-fraction organ motion in stereotactic treatment of early stage glottic cancer, finding the need to consider intra-fraction motion during treatment. Margins for CTV to PTV were calculated in X, Y, and Z directions based on CBCT imaging.
RADIATION ONCOLOGY
(2021)
Review
Oncology
Sangjune Laurence Lee, Michael Bassetti, Gert J. Meijer, Stella Mook
Summary: In this review, the potential benefits and future role of MRI and MR-guided radiotherapy (MRgRT) in the management of esophageal cancer are outlined. While not currently widely used, MRI provides useful imaging capabilities for staging, delineation of tumor volumes, and assessing treatment responses. Integrated MRgRT systems can overcome challenges related to esophageal motion, allowing for more precise treatment planning.
FRONTIERS IN ONCOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Xuechun Liu, Chengqiang Li, Jian Zhu, Guanzhong Gong, Hongqiang Sun, Xu Li, Mengdi Sun, Zicheng Zhang, Baosheng Li, Yong Yin, Zhenjiang Li
Summary: The study verified the dosimetric accuracy of an MR-Linac system in treating a moving target and assessed the error with different motion patterns and adaptation methods. The adaptive treatment on the MR-Linac system investigated met the expected performance with tumor motions, showing acceptable clinical differences between measured and calculated doses under various motion patterns.
Article
Radiology, Nuclear Medicine & Medical Imaging
Hassan Jassar, An Tai, Xinfeng Chen, Timothy D. D. Keiper, Eric Paulson, Fabienne Lathuiliere, Silvain Beriault, Francois Hebert, Laurence Savard, David T. T. Cooper, Sneha Cloake, X. Allen Li
Summary: This study develops and tests an improved real-time motion monitoring technique for accurate motion management during radiation therapy. The results show that the technique can achieve accurate motion monitoring on MR-Linac without using contrast agents or radio-opaque implants.
Article
Oncology
Prescilla Uijtewaal, Pim T. S. Borman, Peter L. Woodhead, Charis Kontaxis, Sara L. Hackett, Joost Verhoeff, Bas W. Raaymakers, Martin F. Fast
Summary: This study provides an experimental demonstration of using VMAT + MLC tracking technology on MR-linacs for several lung SBRT indications. The results show that this technique is technically feasible and results in highly conformal dose distribution, potentially becoming an effective tool for lung cancer treatment.
RADIOTHERAPY AND ONCOLOGY
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Long Lei, Li Huang, Baoliang Zhao, Ying Hu, Zhongliang Jiang, Jianwei Zhang, Bing Li
Summary: A data-driven patient-specific hierarchical respiratory motion estimation framework is proposed for accurately estimating the position of tumors and surrounding vital tissues in real-time during percutaneous image-guided interventions. Experimental results demonstrate the efficacy of the method in improving accuracy and clinical relevance in both animal and human subjects.
Article
Oncology
Guus Grimbergen, Giulia G. Pötgens, Hidde Eijkelenkamp, Bas W. Raaymakers, Martijn P. W. Intven, Gert J. Meijer
Summary: This study assessed the feasibility of using highly accelerated 3D cine MRI to reconstruct the delivered dose during MR-guided SBRT for pancreatic cancer. The results showed that the deformable image registration technique using the 3D cine MRI images was accurate and reliable for dose warping and reconstruction.
RADIOTHERAPY AND ONCOLOGY
(2023)
Review
Oncology
Manju Sharma, Tomi F. Nano, Meghana Akkati, Michael T. Milano, Olivier Morin, Mary Feng
Summary: This study provides PTV margin suggestions for liver SBRT with different motion management strategies based on a systematic review and meta-analysis, offering specific margin recommendations for patients under different breathing conditions.
RADIOTHERAPY AND ONCOLOGY
(2022)
Article
Oncology
Dennis Winkel, Anita M. Werensteijn-Honingh, Wietse S. C. Eppinga, Martijn P. W. Intven, Jochem Hes, Louk M. W. Snoeren, Sanne A. Visser, Gijsbert H. Bol, Bas W. Raaymakers, Ina M. Jurgenliemk-Schulz, Petra S. Kroon
Summary: The study investigated the dosimetric feasibility and plan quality of hypofractionated radiotherapy for patients with lymph node oligometastases using the 1.5T MR-linac system. The results showed that hypofractionated treatment is feasible based on dose criteria and plan quality metrics, but it is important to consider the location of the target relative to critical structures when choosing the fractionation scheme. Meeting all dose criteria in the pre-treatment situation does not guarantee the same outcome during online treatment.
RADIOTHERAPY AND ONCOLOGY
(2021)
Article
Oncology
Jyoti Mayadev, Sonja Dieterich, Rick Harse, Susan Lentz, Mathew Mathai, Sunita Boddu, Marianne Kern, Jean Courquin, Robin L. Stern
Article
Oncology
Dominique Rash, Blythe Durbin-Johnson, Jihoon Lim, Sonja Dieterich, Adam Huddleston, Sun Yi, Jyoti Mayadev
INTERNATIONAL JOURNAL OF GYNECOLOGICAL CANCER
(2015)
Article
Veterinary Sciences
Katherine S. Hansen, Alain P. Theon, Sonja Dieterich, Michael S. Kent
VETERINARY RADIOLOGY & ULTRASOUND
(2015)
Article
Veterinary Sciences
Sonja Dieterich, Allison Zwingenberger, Katherine Hansen, Isabella Pfeiffer, Alain Theon, Michael S. Kent
VETERINARY RADIOLOGY & ULTRASOUND
(2015)
Meeting Abstract
Radiology, Nuclear Medicine & Medical Imaging
Sonja Dieterich
Article
Oncology
Eric Ford, Sonja Dieterich
SEMINARS IN RADIATION ONCOLOGY
(2017)
Article
Oncology
Chad Tang, Nancy J. Fischbein, James D. Murphy, Karen P. Chu, Brindha Bavan, Sonja Dieterich, Wendy Hara, Michael J. Kaplan, Alexander Dimitrios Colevas, Quynh-Thu Le
AMERICAN JOURNAL OF CLINICAL ONCOLOGY-CANCER CLINICAL TRIALS
(2013)
Article
Oncology
Jyoti Mayadev, Lihong Qi, Susan Lentz, Stanley Benedict, Jean Courquin, Sonja Dieterich, Mathew Mathai, Robin Stern, Richard Valicenti
Article
Radiology, Nuclear Medicine & Medical Imaging
Julian C. Hong, Neville C. W. Eclov, Yao Yu, Aarti K. Rao, Sonja Dieterich, Quynh-Thu Le, Maximilian Diehn, Daniel Y. Sze, Billy W. Loo, Nishita Kothary, Peter G. Maxim
JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS
(2013)
Article
Radiology, Nuclear Medicine & Medical Imaging
Kathleen Malinowski, Thomas J. McAvoy, Rohini George, Sonja Dieterich, Warren D. D'Souza
Editorial Material
Radiology, Nuclear Medicine & Medical Imaging
Tewfik Bichay, Sonja Dieterich, Colin G. Orton
Article
Engineering, Biomedical
Lei Wang, Kayla N. Kielar, Ed Mok, Annie Hsu, Sonja Dieterich, Lei Xing
PHYSICS IN MEDICINE AND BIOLOGY
(2012)
Article
Oncology
Emmelyn S. Hsieh, Katherine S. Hansen, Michael S. Kent, Sanjeev Saini, Sonja Dieterich
PRACTICAL RADIATION ONCOLOGY
(2017)
Article
Oncology
Michael B. Liu, Neville C. W. Eclov, Nicholas Trakul, James Murphy, Maximilian Diehn, Quynh-Thu Le, Sonja Dieterich, Peter G. Maxim, Billy W. Loo
PRACTICAL RADIATION ONCOLOGY
(2013)