Literature DB >> 31015172

Both four-dimensional computed tomography and four-dimensional cone beam computed tomography under-predict lung target motion during radiotherapy.

Elisabeth Steiner1, Chun-Chien Shieh2, Vincent Caillet3, Jeremy Booth4, Ricky O'Brien2, Adam Briggs5, Nicholas Hardcastle6, Dasantha Jayamanne5, Kathryn Szymura5, Thomas Eade7, Paul Keall2.   

Abstract

BACKGROUND AND
PURPOSE: To test the hypothesis that 4DCT and 4DCBCT-measured target motion ranges predict target motion ranges during lung cancer SABR.
MATERIALS AND METHODS: Ten lung SABR patients were implanted with Calypso beacons. 4DCBCT was reconstructed for 29 fractions (1-4fx/patient) from a 1 min CBCT scan. The beacon centroid motion segmented for all 4DCT and 4DCBCT bins was compared with the real-time imaging and treatment beacon centroid ("target") motion range (4SDs) for each fraction. We tested the hypotheses that (1) 4DCT and 4CBCT predict treatment motion range and (2) there is no difference between 4DCT and 4DCBCT for predicting treatment motion range. Phase-wise root-mean-square errors (RMSEs) between imaging and treatment motion and reconstructed motion (4DCT, 4DCBCT) were calculated. Relationships between motion ranges in 4DCT and 4DCBCT and imaging and treatment motion ranges were investigated for the superior-inferior (SI), left-right (LR) and anterior-posterior (AP) directions. Baseline drifts and amplitude variability were investigated as potential factors leading to motion misrepresentation.
RESULTS: SI 4DCT, 4DCBCT, imaging and treatment motion ranges were 6.3 ± 3.6 mm, 7.1 ± 4.5 mm, 11.1 ± 7.5 mm and 10.9 ± 6.9 mm, respectively. Similar 4DCT and 4DCBCT under-predictions were observed in the LR and AP directions. Hypothesis (1) was rejected (p < 0.0001). Treatment target motion range was under-predicted in 4DCT by factors of 1.7, 1.9 and 1.7 and in 4DCBCT by factors of 1.5, 1.6 and 1.6 in the SI, LR, and AP directions, respectively. RMSEs were generally lower for end-exhale than inhale. 4DCBCT showed higher correlations with the imaging and treatment target motion than 4DCT and testing hypothesis (2) a statistically significant difference between 4DCT and 4DCBCT was shown in the SI direction (p = 0.03).
CONCLUSION: For lung SABR patients both 4DCT and 4DCBCT significantly under-predict treatment target motion ranges.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Four-dimensional computed tomography; Four-dimensional cone-beam computed tomography; Intrafraction motion; Lung stereotactic ablative body radiotherapy; Lung stereotactic body radiotherapy; Respiratory motion

Mesh:

Year:  2019        PMID: 31015172     DOI: 10.1016/j.radonc.2019.02.019

Source DB:  PubMed          Journal:  Radiother Oncol        ISSN: 0167-8140            Impact factor:   6.280


  13 in total

1.  Software simulation of tumour motion dose effects during flattened and unflattened ITV-based VMAT lung SBRT.

Authors:  Marta Adamczyk; Marta Kruszyna-Mochalska; Anna Rucińska; Tomasz Piotrowski
Journal:  Rep Pract Oncol Radiother       Date:  2020-06-11

2.  On the evaluation of mobile target trajectory between four-dimensional computer tomography and four-dimensional cone-beam computer tomography.

Authors:  Colton Baley; Neil Kirby; Timothy Wagner; Nikos Papanikolaou; Pamela Myers; Karl Rasmussen; Sotirios Stathakis; Daniel Saenz
Journal:  J Appl Clin Med Phys       Date:  2021-06-03       Impact factor: 2.102

3.  Independent review of 4DCT scans used for SABR treatment planning.

Authors:  Rachitha Antony; Peta Lonski; Elena Ungureanu; Nicholas Hardcastle; Adam Yeo; Shankar Siva; Tomas Kron
Journal:  J Appl Clin Med Phys       Date:  2020-02-13       Impact factor: 2.102

4.  Delivery of magnetic resonance-guided single-fraction stereotactic lung radiotherapy.

Authors:  Tobias Finazzi; John R van Sörnsen de Koste; Miguel A Palacios; Femke O B Spoelstra; Berend J Slotman; Cornelis J A Haasbeek; Suresh Senan
Journal:  Phys Imaging Radiat Oncol       Date:  2020-05-20

5.  Four-Dimensional Computed Tomography-Based Correlation of Respiratory Motion of Lung Tumors With Implanted Fiducials and an External Surrogate.

Authors:  Jonas Willmann; Baho Sidiqi; Chunyu Wang; Christian Czmielewski; Henry J Li; Rosalind Dick-Godfrey; Mohit Chawla; Robert P Lee; Emily Gelb; Abraham J Wu; Michael Lovelock; Zhigang Zhang; Ellen D Yorke; Andreas Rimner
Journal:  Adv Radiat Oncol       Date:  2021-12-29

6.  Development of a Margin Determination Framework for Tumor-Tracking Radiation Therapy With Intraoperatively Implanted Fiducial Markers.

Authors:  Jihun Kim; Min Cheol Han; Jee Suk Chang; Chae-Seon Hong; Kyung Hwan Kim; Hwa Kyung Byun; Ryeong Hwang Park; Woong Sub Koom; Seong Yong Park; Jin Sung Kim
Journal:  Front Oncol       Date:  2021-10-07       Impact factor: 6.244

7.  Comparative Evaluation of 4-Dimensional Computed Tomography and 4-Dimensional Magnetic Resonance Imaging to Delineate the Target of Primary Liver Cancer.

Authors:  Yukai Chen; Guanzhong Gong; Yinxing Wang; Chenlu Liu; Ya Su; Lizhen Wang; Bo Yang; Yong Yin
Journal:  Technol Cancer Res Treat       Date:  2021 Jan-Dec

8.  Markerless Real-Time 3-Dimensional kV Tracking of Lung Tumors During Free Breathing Stereotactic Radiation Therapy.

Authors:  Kimmie de Bruin; Max Dahele; Hassan Mostafavi; Berend J Slotman; Wilko F A R Verbakel
Journal:  Adv Radiat Oncol       Date:  2021-04-20

Review 9.  Medical physics challenges in clinical MR-guided radiotherapy.

Authors:  Christopher Kurz; Giulia Buizza; Guillaume Landry; Florian Kamp; Moritz Rabe; Chiara Paganelli; Guido Baroni; Michael Reiner; Paul J Keall; Cornelis A T van den Berg; Marco Riboldi
Journal:  Radiat Oncol       Date:  2020-05-05       Impact factor: 3.481

10.  Validation of a CT-based motion model with in-situ fluoroscopy for lung surface deformation estimation.

Authors:  M Ranjbar; P Sabouri; S Mossahebi; A Sawant; P Mohindra; G Lasio; L D Timmie Topoleski
Journal:  Phys Med Biol       Date:  2021-02-16       Impact factor: 3.609

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