Literature DB >> 28242140

MRI-guided lung SBRT: Present and future developments.

Martin J Menten1, Andreas Wetscherek2, Martin F Fast3.   

Abstract

Stereotactic body radiotherapy (SBRT) is rapidly becoming an alternative to surgery for the treatment of early-stage non-small cell lung cancer patients. Lung SBRT is administered in a hypo-fractionated, conformal manner, delivering high doses to the target. To avoid normal-tissue toxicity, it is crucial to limit the exposure of nearby healthy organs-at-risk (OAR). Current image-guided radiotherapy strategies for lung SBRT are mostly based on X-ray imaging modalities. Although still in its infancy, magnetic resonance imaging (MRI) guidance for lung SBRT is not exposure-limited and MRI promises to improve crucial soft-tissue contrast. Looking beyond anatomical imaging, functional MRI is expected to inform treatment decisions and adaptations in the future. This review summarises and discusses how MRI could be advantageous to the different links of the radiotherapy treatment chain for lung SBRT: diagnosis and staging, tumour and OAR delineation, treatment planning, and inter- or intrafractional motion management. Special emphasis is placed on a new generation of hybrid MRI treatment devices and their potential for real-time adaptive radiotherapy.
Copyright © 2017 Associazione Italiana di Fisica Medica. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Adaptive radiotherapy; Hypo-fractionation; Lung cancer; MRI guidance; SBRT

Mesh:

Year:  2017        PMID: 28242140     DOI: 10.1016/j.ejmp.2017.02.003

Source DB:  PubMed          Journal:  Phys Med        ISSN: 1120-1797            Impact factor:   2.685


  33 in total

1.  Effect of region extraction and assigned mass-density values on the accuracy of dose calculation with magnetic resonance-based volumetric arc therapy planning.

Authors:  Keisuke Usui; Keisuke Sasai; Koichi Ogawa
Journal:  Radiol Phys Technol       Date:  2018-03-14

Review 2.  Magnetic resonance linear accelerator technology and adaptive radiation therapy: An overview for clinicians.

Authors:  William A Hall; Eric Paulson; X Allen Li; Beth Erickson; Christopher Schultz; Alison Tree; Musaddiq Awan; Daniel A Low; Brigid A McDonald; Travis Salzillo; Carri K Glide-Hurst; Amar U Kishan; Clifton D Fuller
Journal:  CA Cancer J Clin       Date:  2021-11-18       Impact factor: 508.702

3.  Automatic liver tumor localization using deep learning-based liver boundary motion estimation and biomechanical modeling (DL-Bio).

Authors:  Hua-Chieh Shao; Xiaokun Huang; Michael R Folkert; Jing Wang; You Zhang
Journal:  Med Phys       Date:  2021-11-19       Impact factor: 4.071

4.  Real-time MRI motion estimation through an unsupervised k-space-driven deformable registration network (KS-RegNet).

Authors:  Hua-Chieh Shao; Tian Li; Michael J Dohopolski; Jing Wang; Jing Cai; Jun Tan; Kai Wang; You Zhang
Journal:  Phys Med Biol       Date:  2022-06-29       Impact factor: 4.174

Review 5.  Magnetic resonance imaging in precision radiation therapy for lung cancer.

Authors:  Hannah Bainbridge; Ahmed Salem; Rob H N Tijssen; Michael Dubec; Andreas Wetscherek; Corinne Van Es; Jose Belderbos; Corinne Faivre-Finn; Fiona McDonald
Journal:  Transl Lung Cancer Res       Date:  2017-12

6.  A pilot study of highly accelerated 3D MRI in the head and neck position verification for MR-guided radiotherapy.

Authors:  Yihang Zhou; Oi Lei Wong; Kin Yin Cheung; Siu Ki Yu; Jing Yuan
Journal:  Quant Imaging Med Surg       Date:  2019-07

7.  Dosimetric impact of uncorrected systematic yaw rotation in VMAT for peripheral lung SABR.

Authors:  Sarah Barrett; Pierre Thirion; Dean Harper; Andrew J Simpkin; Michelle Leech; Kim Hickey; Laoise Ryan; Laure Marignol
Journal:  Rep Pract Oncol Radiother       Date:  2019-09-04

8.  Quantitative assessment of acquisition imaging parameters on MRI radiomics features: a prospective anthropomorphic phantom study using a 3D-T2W-TSE sequence for MR-guided-radiotherapy.

Authors:  Jing Yuan; Cindy Xue; Gladys Lo; Oi Lei Wong; Yihang Zhou; Siu Ki Yu; Kin Yin Cheung
Journal:  Quant Imaging Med Surg       Date:  2021-05

9.  Autoencoder-Inspired Convolutional Network-Based Super-Resolution Method in MRI.

Authors:  Seonyeong Park; H Michael Gach; Siyong Kim; Suk Jin Lee; Yuichi Motai
Journal:  IEEE J Transl Eng Health Med       Date:  2021-04-28

10.  Tumour auto-contouring on 2d cine MRI for locally advanced lung cancer: A comparative study.

Authors:  Martin F Fast; Björn Eiben; Martin J Menten; Andreas Wetscherek; David J Hawkes; Jamie R McClelland; Uwe Oelfke
Journal:  Radiother Oncol       Date:  2017-10-10       Impact factor: 6.280

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