Literature DB >> 28363486

Magnitude and variability of respiratory-induced diaphragm motion in children during image-guided radiotherapy.

Sophie C Huijskens1, Irma W E M van Dijk2, Jorrit Visser2, Coen R N Rasch2, Tanja Alderliesten2, Arjan Bel2.   

Abstract

BACKGROUND AND
PURPOSE: To analyse the variability of respiratory motion during image-guided radiotherapy in paediatric cancer patients and to investigate possible relationships thereof with patient-specific factors.
MATERIAL AND METHODS: Respiratory-induced diaphragm motion was retrospectively analysed on 480 cone beam CTs acquired during the treatment course of 45 children (<18years). The cranial-caudal positions of the top of the right diaphragm in exhale and inhale phases were manually selected in the projection images. The difference in position between both phases defines the amplitude. The cycle time equalled inspiratory plus expiratory time. We analysed the variability of the intra- and interfractional respiratory motion and studied possible correlations between respiratory-induced diaphragm motion and age, height, and weight.
RESULTS: Over all patients, mean amplitude and cycle time were 10.7mm (range 4.1-17.4mm) and 2.9s (range 2.1-3.9s). Intrafractional variability was larger than interfractional variability (2.4mmvs. 1.4mm and 0.5svs. 0.4s for amplitude and cycle time, respectively). Correlations between mean amplitude and patient-specific factors were significant but weak (p<0.05, ρ≤0.45).
CONCLUSIONS: Large ranges of amplitude and cycle time and weak correlations confirm that respiratory motion is patient-specific and requires an individualized approach to account for. Since interfractional variability was small, we suggest that a pre-treatment 4DCT in children could be sufficiently predictive to quantify the respiratory motion.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  IGRT; Paediatric RT; Respiratory-induced motion

Mesh:

Year:  2017        PMID: 28363486     DOI: 10.1016/j.radonc.2017.03.016

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


  7 in total

1.  Automatic generation of three-dimensional dose reconstruction data for two-dimensional radiotherapy plans for historically treated patients.

Authors:  Ziyuan Wang; Marco Virgolin; Peter A N Bosman; Koen F Crama; Brian V Balgobind; Arjan Bel; Tanja Alderliesten
Journal:  J Med Imaging (Bellingham)       Date:  2020-02-03

2.  Machine learning for the prediction of pseudorealistic pediatric abdominal phantoms for radiation dose reconstruction.

Authors:  Marco Virgolin; Ziyuan Wang; Tanja Alderliesten; Peter A N Bosman
Journal:  J Med Imaging (Bellingham)       Date:  2020-07-30

3.  Paediatric image-guided radiation therapy: determining and evaluating appropriate kilovoltage planar exposure factors for the Varian on-board imager.

Authors:  John Ryan; David Willis
Journal:  J Med Radiat Sci       Date:  2019-09-03

4.  Interplay Effect of Target Motion and Pencil-Beam Scanning in Proton Therapy for Pediatric Patients.

Authors:  Andrew J Boria; Jinsoo Uh; Fakhriddin Pirlepesov; James C Stuckey; Marian Axente; Melissa A Gargone; Chia-Ho Hua
Journal:  Int J Part Ther       Date:  2018-11-30

5.  TEDDI: radiotherapy delivery in deep inspiration for pediatric patients - a NOPHO feasibility study.

Authors:  Anni Young Lundgaard; Lisa Lyngsie Hjalgrim; Laura Ann Rechner; Mirjana Josipovic; Morten Joergensen; Marianne Camille Aznar; Anne Kill Berthelsen; Lise Borgwardt; Christoffer Johansen; Annika Loft; Akmal Safwat; Leila Vaalavirta; Lena Specht; Maja Vestmoe Maraldo
Journal:  Radiat Oncol       Date:  2018-03-27       Impact factor: 3.481

6.  Abdominal organ position variation in children during image-guided radiotherapy.

Authors:  Sophie C Huijskens; Irma W E M van Dijk; Jorrit Visser; Brian V Balgobind; D Te Lindert; Coen R N Rasch; Tanja Alderliesten; Arjan Bel
Journal:  Radiat Oncol       Date:  2018-09-12       Impact factor: 3.481

7.  Predictive value of pediatric respiratory-induced diaphragm motion quantified using pre-treatment 4DCT and CBCTs.

Authors:  Sophie C Huijskens; Irma W E M van Dijk; Jorrit Visser; Brian V Balgobind; Coen R N Rasch; Tanja Alderliesten; Arjan Bel
Journal:  Radiat Oncol       Date:  2018-10-11       Impact factor: 3.481

  7 in total

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