Skip to main content
Log in

Validating the clinical use of Breathe Well, a novel breathe monitoring device

  • Technical Paper
  • Published:
Physical and Engineering Sciences in Medicine Aims and scope Submit manuscript

Abstract

Respiratory motion management has become increasingly important in the accurate delivery of radiotherapy. Recently, a novel device, Breathe Well, has been developed, which provides motion management by tracking the movement of external surrogates. This paper has comprehensively assessed the measurement accuracy of Breathe Well in various clinical conditions. The results suggest that the Breathe Well device has good reproducibility, although it demonstrates larger measurement errors in certain setup positions. However, this measurement error becomes trivial if it is setup consistently over the entire course of treatment. For other setup positions, the Breathe Well device can reach a ± 1.0 mm spatial accuracy when the motion amplitude is less than or equal to 20 mm, similar to that of the Varian RPM system. The phase measurement from Breathe Well agrees well with that of the RPM and the QUASAR phantom, indicating that the device has potentials for phase-related clinical applications such as gating.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Copyright granted by Opus Medical Pty Ltd.) [5]

Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  1. Keall PJ, Mageras GS, Balter JM et al (2006) The management of respiratory motion in radiation oncology report of AAPM Task Group 76. Med Phys 33(10):3874–3900

    Article  Google Scholar 

  2. Ahn S, Yi B, Suh Y et al (2004) A feasibility study on the prediction of tumor location in the lung from skin motion. Br J Radiol 77(919):588–596

    Article  CAS  Google Scholar 

  3. Hoisak JD, Sixel KE, Tirona R, Cheung PC, Pignol JP (2004) Correlation of lung tumor motion with external surrogate indicators of respiration. Int J Radiat Oncol Biol Phys 60(4):1298–1306

    Article  Google Scholar 

  4. Tsunashima Y, Sakae T, Shioyama Y et al (2004) Correlation between the respiratory waveform measured using a respiratory sensor and 3D tumor motion in gated radio-therapy. Int J Radiat Oncol Biol Phys 60(3):951–958

    Article  Google Scholar 

  5. Opus Medical Pty Ltd. Breathe Well Patient Information. https://BreatheWell.co/patient-information/. Accessed 3 Jan 2019

  6. Hu Y, Archibald-Heeren B, Byrne M, Cai E, Wang Y (2019) Investigating the impact of tumour motion on tomotherapy stereotactic ablative body radiotherapy (SABR) deliveries on 3-dimensional and 4-dimensional computed tomography. Aust Phys Sci Eng Med. https://doi.org/10.1007/s13246-019-00727-8

    Article  Google Scholar 

  7. O’Connell BF, Irvine DM, Cole AJ et al (2015) Optimizing geometric accuracy of four-dimensional CT scans acquired using the wall- and couch-mounted Varian Real-time Position Management™ camera systems. Br J Radiol. https://doi.org/10.1259/bjr.20140624

    Article  PubMed  PubMed Central  Google Scholar 

  8. Chang Z, Liu T, Jing C et al (2011) Evaluation of integrated respiratory gating systems on a Novalis Tx system. J Appl Clin Med Phys. https://doi.org/10.1120/jacmp.v12i3.3495

    Article  PubMed  PubMed Central  Google Scholar 

  9. Spadea MF, Baroni G, Gierga DP et al (2011) Evaluation and commissioning of a surface based system for respiratory sensing in 4D CT. J Appl Clin Med Phys. https://doi.org/10.1120/jacmp.v12i1.3288

    Article  Google Scholar 

  10. Kauweloa KI, Ruan D, Park JC et al (2012) GatedCTTM surface tracking system for respiratory signal reconstruction in 4DCT imaging. Med Phys. https://doi.org/10.1118/1.3671941

    Article  PubMed  Google Scholar 

  11. Pollock S (2019) Translational research of Audiovisual Biofeedback: an investigation of respiratory-guidance in lung and liver cancer patient radiation therapy (Doctoral dissertation). Retrieved from Sydney Digital Theses Database. https://hdl.handle.net/2123/15902. Accessed 3 Jan 2019

  12. Noonan PJ, Howard J, Deborah D et al (2012) Accurate markerless respiratory tracking for gated whole body PET using the Microsoft Kinect. IEEE Nucl Sci Symp Med Imaging Conf Rec. https://doi.org/10.1109/NSSMIC.2012.6551910

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yunfei Hu.

Ethics declarations

Conflict of interest

All authors declare that they have no conflict of interest.

Ethical approval

This article does not contain any studies with human participants or animals performed by any of the authors.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Hu, Y., Byrne, M., Archibald-Heeren, B. et al. Validating the clinical use of Breathe Well, a novel breathe monitoring device. Phys Eng Sci Med 43, 693–700 (2020). https://doi.org/10.1007/s13246-020-00871-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13246-020-00871-6

Keywords

Navigation