Literature DB >> 29789896

An offline technique to evaluate residual motion of the diaphragm during deep inspiratory breath-hold from cone-beam CT datasets.

Manuel Blessing1, Julian Hofmann2, Lena Vogel2, Judit Boda-Heggemann2, Frank Lohr3, Frederik Wenz2, Florian Stieler2, Anna Simeonova-Chergou2.   

Abstract

PURPOSE: In radiation therapy, the computer-assisted deep inspiration breath-hold (DIBH) technique is one approach to deal with respiratory motion of tumors in the lung, liver, or upper abdomen. However, inter- and intra-breath-hold deviations from an optimal static tumor position might occur. A novel method is presented to noninvasively measure the diaphragm position and thus estimate its residual deviation (as surrogate for the tumor position) based on cone-beam computed tomography (CBCT) projection data using active breathing control during acquisition.
METHODS: The diaphragm dome (DD) position relative to the isocenter of a linear accelerator is known from the static (DIBH) planning CT. A ball-bearing phantom (BB) is placed at this position, a CBCT dataset is acquired, and in each projection the position of the projected BB is determined automatically based on thresholding. The position of the DD is determined manually in CBCT projections of a patient. The distance between DD and BB (ideal static setting) in craniocaudal direction is calculated for a given angle based on the distance in the projection plane and the relative position of the BB referring to the source and the detector. An angle-dependent correction factor is introduced which takes this geometrical setting into account. The accuracy of the method is assessed.
RESULTS: The method allows a CBCT projection-based estimation of the deviation between the DD and its optimal position as defined in the planning CT, i.e., the residual motion of the DD can be assessed. The error of this estimation is 2.2 mm in craniocaudal direction.
CONCLUSIONS: The developed method allows an offline estimation of the inspiration depth (inter- and intra-breath-hold) over time. It will be useful as a reference for comparison to other methods of residual motion estimation, e.g., surface scanning.

Entities:  

Keywords:  Active breathing control; Cone-beam computed tomography; Deep inspiration breath-hold; Patient positioning; Residual motion

Mesh:

Year:  2018        PMID: 29789896     DOI: 10.1007/s00066-018-1313-3

Source DB:  PubMed          Journal:  Strahlenther Onkol        ISSN: 0179-7158            Impact factor:   3.621


  17 in total

1.  The use of active breathing control (ABC) to reduce margin for breathing motion.

Authors:  J W Wong; M B Sharpe; D A Jaffray; V R Kini; J M Robertson; J S Stromberg; A A Martinez
Journal:  Int J Radiat Oncol Biol Phys       Date:  1999-07-01       Impact factor: 7.038

Review 2.  Motion compensation in radiotherapy.

Authors:  Matthias Guckenberger; Anne Richter; Judit Boda-Heggemann; Frank Lohr
Journal:  Crit Rev Biomed Eng       Date:  2012

3.  Improvement in tumour control probability with active breathing control and dose escalation: a modelling study.

Authors:  Mike Partridge; Alison Tree; Juliet Brock; Helen McNair; Elizabeth Fernandez; Niki Panakis; Michael Brada
Journal:  Radiother Oncol       Date:  2009-06       Impact factor: 6.280

Review 4.  kV cone-beam CT-based IGRT: a clinical review.

Authors:  Judit Boda-Heggemann; Frank Lohr; Frederik Wenz; Michael Flentje; Matthias Guckenberger
Journal:  Strahlenther Onkol       Date:  2011-04-26       Impact factor: 3.621

Review 5.  Motion in radiotherapy: photon therapy.

Authors:  Stine S Korreman
Journal:  Phys Med Biol       Date:  2012-12-07       Impact factor: 3.609

Review 6.  Deep Inspiration Breath Hold-Based Radiation Therapy: A Clinical Review.

Authors:  Judit Boda-Heggemann; Antje-Christin Knopf; Anna Simeonova-Chergou; Hansjörg Wertz; Florian Stieler; Anika Jahnke; Lennart Jahnke; Jens Fleckenstein; Lena Vogel; Anna Arns; Manuel Blessing; Frederik Wenz; Frank Lohr
Journal:  Int J Radiat Oncol Biol Phys       Date:  2015-12-17       Impact factor: 7.038

7.  Short-term and long-term reproducibility of lung tumor position using active breathing control (ABC).

Authors:  Rojano Kashani; Rojano Koshani; James M Balter; James A Hayman; George T Henning; Marcel van Herk
Journal:  Int J Radiat Oncol Biol Phys       Date:  2006-08-01       Impact factor: 7.038

8.  Precise and real-time measurement of 3D tumor motion in lung due to breathing and heartbeat, measured during radiotherapy.

Authors:  Yvette Seppenwoolde; Hiroki Shirato; Kei Kitamura; Shinichi Shimizu; Marcel van Herk; Joos V Lebesque; Kazuo Miyasaka
Journal:  Int J Radiat Oncol Biol Phys       Date:  2002-07-15       Impact factor: 7.038

9.  The deep inspiration breath hold technique using Abches reduces cardiac dose in patients undergoing left-sided breast irradiation.

Authors:  Ha Yoon Lee; Jee Suk Chang; Ik Jae Lee; Kwangwoo Park; Yong Bae Kim; Chang Ok Suh; Jun Won Kim; Ki Chang Keum
Journal:  Radiat Oncol J       Date:  2013-12-31

10.  Intra- and inter-fractional liver and lung tumor motions treated with SBRT under active breathing control.

Authors:  Lan Lu; Claudiu Diaconu; Toufik Djemil; Gregory Mm Videtic; May Abdel-Wahab; Naichang Yu; John Greskovich; Kevin L Stephans; Ping Xia
Journal:  J Appl Clin Med Phys       Date:  2017-11-20       Impact factor: 2.102

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