First experience of autonomous, un-supervised treatment planning integrated in adaptive MR-guided radiotherapy and delivered to a patient with prostate cancer.
暂无分享,去创建一个
Daniela Thorwarth | Daniel Zips | Luise A. Künzel | Marcel Nachbar | Markus Hagmüller | Cihan Gani | Simon Boeke | D. Zips | D. Thorwarth | S. Boeke | L. Künzel | M. Nachbar | C. Gani | M. Hagmüller
[1] Charlotte L. Brouwer,et al. Machine learning applications in radiation oncology: Current use and needs to support clinical implementation , 2020, Physics and imaging in radiation oncology.
[2] Annie Gao,et al. Conventional versus hypofractionated high-dose intensity-modulated radiotherapy for prostate cancer: 5-year outcomes of the randomised, non-inferiority, phase 3 CHHiP trial , 2016, The Lancet. Oncology.
[3] Carsten Brink,et al. Automatic planning of head and neck treatment plans. , 2016, Journal of applied clinical medical physics.
[4] T. Davenport,et al. The potential for artificial intelligence in healthcare , 2019, Future Healthcare Journal.
[5] D. Low,et al. A technique for the quantitative evaluation of dose distributions. , 1998, Medical physics.
[6] David A Jaffray,et al. The transformation of radiation oncology using real-time magnetic resonance guidance: A review. , 2019, European journal of cancer.
[7] Robert Jeraj,et al. The role of computational methods for automating and improving clinical target volume definition. , 2020, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.
[8] D. Mönnich,et al. Quality assurance of IMRT treatment plans for a 1.5 T MR-linac using a 2D ionization chamber array and a static solid phantom , 2020, Physics in medicine and biology.
[9] James Wheeler,et al. Variation in external beam treatment plan quality: An inter-institutional study of planners and planning systems. , 2012, Practical radiation oncology.
[10] G. G. Sikkes,et al. Online adaptive MR-guided radiotherapy for rectal cancer; feasibility of the workflow on a 1.5T MR-linac; clinical implementation and initial experience. , 2020, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.
[11] Gilmer Valdes,et al. Artificial intelligence in radiation oncology: A specialty-wide disruptive transformation? , 2018, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.
[12] Paul Aljabar,et al. Clinical evaluation of atlas and deep learning based automatic contouring for lung cancer. , 2017, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.
[13] Jiawei Fan,et al. Automatic treatment planning based on three‐dimensional dose distribution predicted from deep learning technique , 2018, Medical physics.
[14] A. Gladwish,et al. Clinical evaluation of deep learning and atlas based auto-contouring of bladder and rectum for prostate radiotherapy. , 2020, Practical radiation oncology.
[15] Yonggang Lu,et al. A novel MRI segmentation method using CNN‐based correction network for MRI‐guided adaptive radiotherapy , 2018, Medical physics.
[16] Nalee Kim,et al. Clinical evaluation of atlas- and deep learning-based automatic segmentation of multiple organs and clinical target volumes for breast cancer. , 2020, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.
[17] L. Livi,et al. Partial breast irradiation with the 1.5 T MR-Linac: First patient treatment and analysis of electron return and stream effects. , 2019, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.
[18] Daniela Thorwarth,et al. Automatic VMAT planning for post-operative prostate cancer cases using particle swarm optimization: A proof of concept study. , 2019, Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics.
[19] Olivier Salvado,et al. MRI-guided prostate radiation therapy planning: Investigation of dosimetric accuracy of MRI-based dose planning. , 2011, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.
[20] Jiazhou Wang,et al. An Artificial Intelligence-Based Full-Process Solution for Radiotherapy: A Proof of Concept Study on Rectal Cancer , 2021, Frontiers in Oncology.
[21] S. Korreman,et al. The changing role of radiation oncology professionals in a world of AI – Just jobs lost – Or a solution to the under-provision of radiotherapy? , 2020, Clinical and translational radiation oncology.
[22] D. Low,et al. Technical Challenges of Real-Time Adaptive MR-Guided Radiotherapy , 2021, Frontiers in Oncology.
[23] D. Georg,et al. Automated volumetric modulated arc therapy planning for whole pelvic prostate radiotherapy , 2017, Strahlentherapie und Onkologie.
[24] Wouter van Elmpt,et al. Overview of artificial intelligence-based applications in radiotherapy: Recommendations for implementation and quality assurance. , 2020 .
[25] Harini Veeraraghavan,et al. Deep learning-based auto-segmentation of targets and organs-at-risk for magnetic resonance imaging only planning of prostate radiotherapy , 2019, Physics and imaging in radiation oncology.
[26] Mark H. F. Savenije,et al. Clinical implementation of MRI-based organs-at-risk auto-segmentation with convolutional networks for prostate radiotherapy , 2020, Radiation Oncology.
[27] Iori Sumida,et al. Dosimetric comparison of RapidPlan and manually optimized plans in volumetric modulated arc therapy for prostate cancer. , 2017, Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics.
[28] Zhikai Liu,et al. Development and Validation of a Deep Learning Algorithm for Auto-delineation of Clinical Target Volume and Organs at Risk in Cervical Cancer Radiotherapy. , 2020, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.
[29] Rob H.N. Tijssen,et al. Adaptive radiotherapy: The Elekta Unity MR-linac concept , 2019, Clinical and translational radiation oncology.
[30] J. Jonsson,et al. The rationale for MR-only treatment planning for external radiotherapy , 2019, Clinical and translational radiation oncology.