Literature DB >> 32506452

A modern review of the uncertainties in volumetric imaging of respiratory-induced target motion in lung radiotherapy.

Irina Vergalasova1, Jing Cai2.   

Abstract

Radiotherapy has become a critical component for the treatment of all stages and types of lung cancer, often times being the primary gateway to a cure. However, given that radiation can cause harmful side effects depending on how much surrounding healthy tissue is exposed, treatment of the lung can be particularly challenging due to the presence of moving targets. Careful implementation of every step in the radiotherapy process is absolutely integral for attaining optimal clinical outcomes. With the advent and now widespread use of stereotactic body radiation therapy (SBRT), where extremely large doses are delivered, accurate, and precise dose targeting is especially vital to achieve an optimal risk to benefit ratio. This has largely become possible due to the rapid development of image-guided technology. Although imaging is critical to the success of radiotherapy, it can often be plagued with uncertainties due to respiratory-induced target motion. There has and continues to be an immense research effort aimed at acknowledging and addressing these uncertainties to further our abilities to more precisely target radiation treatment. Thus, the goal of this article is to provide a detailed review of the prevailing uncertainties that remain to be investigated across the different imaging modalities, as well as to highlight the more modern solutions to imaging motion and their role in addressing the current challenges.
© 2020 American Association of Physicists in Medicine.

Entities:  

Keywords:  4D imaging; IGRT; lung radiotherapy; motion management

Mesh:

Year:  2020        PMID: 32506452     DOI: 10.1002/mp.14312

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  5 in total

1.  Intrafraction target shift comparison using two breath-hold systems in lung stereotactic body radiotherapy.

Authors:  Alejandro Prado; Daniel Zucca; Miguel Ángel De la Casa; Jaime Martí; Leyre Alonso; Paz García de Acilu; Juan García; Ovidio Hernando; Pedro Fernández-Letón; Carmen Rubio
Journal:  Phys Imaging Radiat Oncol       Date:  2022-04-29

Review 2.  Patient positioning and immobilization procedures for hybrid MR-Linac systems.

Authors:  Francesco Cuccia; Filippo Alongi; Claus Belka; Luca Boldrini; Juliane Hörner-Rieber; Helen McNair; Michele Rigo; Maartje Schoenmakers; Maximilian Niyazi; Judith Slagter; Claudio Votta; Stefanie Corradini
Journal:  Radiat Oncol       Date:  2021-09-20       Impact factor: 3.481

3.  Evaluation of lung tumor motion in a large sample: Target-related and clinical factors influencing tumor motion based on four-dimensional CT.

Authors:  Fengxiang Li; Yanlin Qu; Tingting Zhang; Zhen Cui; Xin Sun; Tao Zhang; Jianbin Li
Journal:  Cancer Med       Date:  2021-09-14       Impact factor: 4.452

4.  Clinical Evaluation of Fiducial Marker Pre-Planning for Virtual Bronchoscopic Navigation Implantation in Lung Tumour Patients Treated With CyberKnife.

Authors:  Ki Man Ku; Bing Lam; Vincent W C Wu; Kwok Ting Chan; Chloe Y Y Chan; H C Cheng; Kamy M Y Yuen; Jing Cai
Journal:  Front Oncol       Date:  2022-06-16       Impact factor: 5.738

5.  The dosimetric impact of deep learning-based auto-segmentation of organs at risk on nasopharyngeal and rectal cancer.

Authors:  Hongbo Guo; Jiazhou Wang; Xiang Xia; Yang Zhong; Jiayuan Peng; Zhen Zhang; Weigang Hu
Journal:  Radiat Oncol       Date:  2021-06-23       Impact factor: 3.481

  5 in total

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