Cargando…

Clinical Implementation of Automated Treatment Planning for Rectum Intensity-Modulated Radiotherapy Using Voxel-Based Dose Prediction and Post-Optimization Strategies

PURPOSE: This study aims to demonstrate the feasibility of clinical implementation of automated treatment planning (ATP) using voxel-based dose prediction and post-optimization strategies for rectal cancer on uRT (United Imaging Healthcare, Shanghai, China) treatment planning system. METHODS: A tota...

Descripción completa

Detalles Bibliográficos
Autores principales:	Zhong, Yang, Yu, Lei, Zhao, Jun, Fang, Yingtao, Yang, Yanju, Wu, Zhiqiang, Wang, Jiazhou, Hu, Weigang
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2021
Materias:	Oncology
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8264432/ https://www.ncbi.nlm.nih.gov/pubmed/34249757 http://dx.doi.org/10.3389/fonc.2021.697995

Ejemplares similares

A Preliminary Experience of Implementing Deep-Learning Based Auto-Segmentation in Head and Neck Cancer: A Study on Real-World Clinical Cases
por: Zhong, Yang, et al.
Publicado: (2021)

Implement a knowledge‐based automated dose volume histogram prediction module in Pinnacle(3) treatment planning system for plan quality assurance and guidance
por: Xu, Hao, et al.
Publicado: (2019)

Dosimetric impact of different bladder and rectum filling during prostate cancer radiotherapy
por: Chen, Zhi, et al.
Publicado: (2016)

Geometric and dosimetric evaluation of deep learning based auto‐segmentation for clinical target volume on breast cancer
por: Zhong, Yang, et al.
Publicado: (2023)

An Artificial Intelligence-Based Full-Process Solution for Radiotherapy: A Proof of Concept Study on Rectal Cancer
por: Xia, Xiang, et al.
Publicado: (2021)

Clinical implementation of automated treatment planning for whole‐brain radiotherapy
por: Han, Eun Young, et al.
Publicado: (2021)

Dosimetric Impact of the Positional Imaging Frequency for Hypofractionated Prostate Radiotherapy – A Voxel-by-Voxel Analysis
por: Splinter, Mona, et al.
Publicado: (2020)

On the Importance of Individualized, Non-Coplanar Beam Configurations in Mediastinal Lymphoma Radiotherapy, Optimized With Automated Planning
por: Rossi, Linda, et al.
Publicado: (2021)

Automated Extraction of Dose/Volume Statistics for Radiotherapy-Treatment-Plan Evaluation in Clinical-Trial Quality Assurance
por: Gong, Yutao U. T., et al.
Publicado: (2016)

The benefits evaluation of abdominal deep inspiration breath hold based on knowledge‐based radiotherapy treatment planning for left‐sided breast cancer
por: Xu, Jiaqi, et al.
Publicado: (2020)

Artificial Intelligence-Based Automated Treatment Planning of Postmastectomy Volumetric Modulated Arc Radiotherapy
por: Jiang, Shengpeng, et al.
Publicado: (2022)

A Review on Application of Deep Learning Algorithms in External Beam Radiotherapy Automated Treatment Planning
por: Wang, Mingqing, et al.
Publicado: (2020)

Recommended dose voxel size and statistical uncertainty parameters for precision of Monte Carlo dose calculation in stereotactic radiotherapy
por: Goodall, Simon K., et al.
Publicado: (2020)

MV CBCT-Based Synthetic CT Generation Using a Deep Learning Method for Rectal Cancer Adaptive Radiotherapy
por: Zhao, Jun, et al.
Publicado: (2021)

A parameter optimization algorithm for intensity‐modulated radiotherapy prostate treatment planning
por: Barbiere, J., et al.
Publicado: (2002)

A hybrid automated treatment planning solution for esophageal cancer
por: Ling, Chifang, et al.
Publicado: (2019)

Barriers and facilitators to clinical implementation of radiotherapy treatment planning automation: A survey study of medical dosimetrists
por: Petragallo, Rachel, et al.
Publicado: (2022)

Personalized Automation of Treatment Planning for Linac-Based Stereotactic Body Radiotherapy of Spine Cancer
por: Cilla, Savino, et al.
Publicado: (2022)

Automated field‐in‐field whole brain radiotherapy planning
por: Huang, Kai, et al.
Publicado: (2022)

Evaluation of rectum and bladder dose accumulation from external beam radiotherapy and brachytherapy for cervical cancer using two different deformable image registration techniques
por: Kadoya, Noriyuki, et al.
Publicado: (2017)

Radiotherapy for gastric lymphoma: a planning study of 3D conformal radiotherapy, the half-beam method, and intensity-modulated radiotherapy
por: Inaba, Koji, et al.
Publicado: (2014)

Single click automated breast planning with iterative optimization
por: Archibald‐Heeren, Ben, et al.
Publicado: (2020)

Optimizing efficiency and safety in external beam radiotherapy using automated plan check (APC) tool and six sigma methodology
por: Liu, Shi, et al.
Publicado: (2019)

Automated IMRT planning with regional optimization using planning scripts
por: Xhaferllari, Ilma, et al.
Publicado: (2013)

Bladder neck necrosis resulting in fistulae to rectum and bilateral thighs post radical prostatectomy and salvage radiotherapy
por: Southall, Thomas M., et al.
Publicado: (2021)

Prognostic and Predicted Significance of FENDRR in Colon and Rectum Adenocarcinoma
por: Yang, Fan, et al.
Publicado: (2021)

A new plan quality index for dose painting radiotherapy
por: Park, Yang‐Kyun, et al.
Publicado: (2014)

Is internal target volume accurate for dose evaluation in lung cancer stereotactic body radiotherapy?
por: Peng, Jiayuan, et al.
Publicado: (2016)

Automated treatment planning for proton pencil beam scanning using deep learning dose prediction and dose‐mimicking optimization
por: Maes, Dominic, et al.
Publicado: (2023)

Combining distance and anatomical information for deep-learning based dose distribution predictions for nasopharyngeal cancer radiotherapy planning
por: Chen, Xinyuan, et al.
Publicado: (2023)

Dose differences in intensity‐modulated radiotherapy plans calculated with pencil beam and Monte Carlo for lung SBRT
por: Liu, Han, et al.
Publicado: (2015)

Leveraging intelligent optimization for automated, cardiac-sparing accelerated partial breast treatment planning
por: Pogue, Joel A., et al.
Publicado: (2023)

Voxel based BED and EQD(2) Evaluation of the Radiotherapy Treatment Plan
por: Singh, Gaganpreet, et al.
Publicado: (2018)

An Automated Treatment Plan Quality Control Tool for Intensity-Modulated Radiation Therapy Using a Voxel-Weighting Factor-Based Re-Optimization Algorithm
por: Song, Ting, et al.
Publicado: (2016)

Automated Radiotherapy Planning for Patient-Specific Exploration of the Trade-Off Between Tumor Dose Coverage and Predicted Radiation-Induced Toxicity—A Proof of Principle Study for Prostate Cancer
por: Bijman, Rik, et al.
Publicado: (2020)

Are simple IMRT beams more robust against MLC error? Exploring the impact of MLC errors on planar quality assurance and plan quality for different complexity beams
por: Wang, Jiazhou, et al.
Publicado: (2016)

Comparison of dose calculated by an intensity modulated radiotherapy treatment planning system and an independent monitor unit verification program
por: Haslam, J. J., et al.
Publicado: (2003)

Intermediate Dose-Volume Parameters, Not Low-Dose Bath, Is Superior to Predict Radiation Pneumonitis for Lung Cancer Treated With Intensity-Modulated Radiotherapy
por: Meng, Yinnan, et al.
Publicado: (2020)

Planning National Radiotherapy Services
por: Rosenblatt, Eduardo
Publicado: (2014)

Validation of clinical acceptability of deep-learning-based automated segmentation of organs-at-risk for head-and-neck radiotherapy treatment planning
por: Lucido, J. John, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_gtc1b5jlq8heekg910drif7eko