Literature DB >> 26247520

First clinical implementation of audiovisual biofeedback in liver cancer stereotactic body radiation therapy.

Sean Pollock1, Regina Tse2, Darren Martin2, Lisa McLean2, Gwi Cho2, Robin Hill2, Sheila Pickard2, Paul Aston2, Chen-Yu Huang1, Kuldeep Makhija1, Ricky O'Brien1, Paul Keall1.   

Abstract

This case report details a clinical trial's first recruited liver cancer patient who underwent a course of stereotactic body radiation therapy treatment utilising audiovisual biofeedback breathing guidance. Breathing motion results for both abdominal wall motion and tumour motion are included. Patient 1 demonstrated improved breathing motion regularity with audiovisual biofeedback. A training effect was also observed.
© 2015 The Authors. Journal of Medical Imaging and Radiation Oncology published by Wiley Publishing Asia Pty Ltd on behalf of The Royal Australian and New Zealand College of Radiologists.

Entities:  

Keywords:  abdomen; intervention; physics; radiation oncology; radiation oncology imaging; respiratory

Mesh:

Year:  2015        PMID: 26247520      PMCID: PMC5054895          DOI: 10.1111/1754-9485.12343

Source DB:  PubMed          Journal:  J Med Imaging Radiat Oncol        ISSN: 1754-9477            Impact factor:   1.735


Introduction

Liver tumours are highly mobile due to their proximity to the thoracic diaphragm. When a patient's breathing motion is irregular, it exacerbates both systematic and random errors which compromise the accuracy of radiation therapy.1, 2 To reduce these errors, breathing guidance strategies have been investigated to facilitate stable and regular breathing.3, 4 This study represents a milestone in breathing guidance investigations as it addresses a gap in the literature by assessing the impact of the breathing guidance system, audiovisual biofeedback (AVB), on intra‐ and inter‐fraction liver tumour motion, via fiducial marker surrogacy, in liver cancer patients undergoing stereotactic body radiation therapy (SBRT). The AVB system, shown in Figure 1, utilises audio and visual prompts to guide the patient to breathe regularly. External breathing motion from the Real‐time Position Management (RPM) system (Varian Medical Systems, Palo Alto, CA, USA) of the patient's abdominal wall is shown on the patient display. The marker block moves up as they inhale and down as they exhale. The patient adjusts their breathing such that the marker block stays within the blue region and traces the motion of the waveguide (white wave in Fig. 1).
Figure 1

Study setup in the linac bunker with the Real‐time Position Management (RPM) marker block and patient display (left). AVB (audiovisual biofeedback) interface (right).

Study setup in the linac bunker with the Real‐time Position Management (RPM) marker block and patient display (left). AVB (audiovisual biofeedback) interface (right).

Case report

Patient 1 was a 65‐year‐old male with metastatic (recurrent) cholangiocarcinoma and received 36 Gy across 6 fractions using volumetric‐modulated arc therapy‐based SBRT to a 30 mm solitary lesion in segment 8 of the liver. Due to previous liver resection, this patient had pre‐existing surgical clips implanted into his liver, which were utilised for image guidance. He had a number of other comorbidities including bronchiectasis with impaired pulmonary function and was of Karnofsky performance status 1. Prior to treatment planning, a screening procedure was performed to ensure that the most regular breathing condition (free breathing (FB) or AVB) was utilised throughout the patient's subsequent course of SBRT. Breathing motion was monitored for 4 minutes for each of the breathing conditions FB and AVB; at the 2‐minute mark, cone beam CT (CBCT) images were acquired. Determining which breathing condition would be selected was based on the regularity of the 4 minutes of external breathing motion (quantified by the root mean square error (RMSE) in displacement and period); the lower the RMSE, the more regular the breathing motion. Decisions were made in situ using a function within the AVB software. Patient 1's screening procedure yielded the decision to utilise AVB for the remainder of their course of SBRT. Patient 1's treatment planning and treatment delivery proceeded as per the currently implemented clinical liver SBRT protocol with the addition of the AVB setup (see Fig. 1). CBCT images were acquired prior to treatment delivery on each day of treatment, motion of the surgical clips was extracted from the CBCT projection images utilising a method developed by Fledelius et al.,5 as a surrogate for tumour motion. Figure 2 and Figure 3 demonstrate the breathing motion results across patient 1's course of radiotherapy. It was also observed that AVB increased the average range of tumour motion from 1.5 cm for FB, to 1.8 cm for AVB.
Figure 2

AVB (audiovisual biofeedback) and FB (free breathing) RMSE (root mean square error) results for Screening Procedure (left); and results for AVB across patient 1's course of treatment (right), for RMSE of displacement (RMSE Disp, blue circle markers) and RMSE of period (RMSE Per, purple triangle markers). External motion shown as hollow markers/bars and dotted lines, tumour motion shown as solid markers/bars and unbroken lines.

Figure 3

The external motion (top) and tumour (bottom) individual breathing cycles for FB and AVB Decision Sessions (left) and Fraction 6 (right). Unbroken blue lines represent each individual breathing cycle, and the dotted red line is the average cycle.

AVB (audiovisual biofeedback) and FB (free breathing) RMSE (root mean square error) results for Screening Procedure (left); and results for AVB across patient 1's course of treatment (right), for RMSE of displacement (RMSE Disp, blue circle markers) and RMSE of period (RMSE Per, purple triangle markers). External motion shown as hollow markers/bars and dotted lines, tumour motion shown as solid markers/bars and unbroken lines. The external motion (top) and tumour (bottom) individual breathing cycles for FB and AVB Decision Sessions (left) and Fraction 6 (right). Unbroken blue lines represent each individual breathing cycle, and the dotted red line is the average cycle.

Discussion

This study reported on the first patient recruited into a clinical trial investigating the use of breathing guidance during a course of liver SBRT planning and treatment utilising an initial screening procedure. A training effect was observed, with the patient's breathing motion becoming more regular inter‐fractionally, plateauing at peak regularity around Fraction 3. It was also observed that AVB increased breathing amplitude compared with FB. Given that the AVB waveguide peak‐to‐peak amplitude was set at 1.5 cm and the observed external peak‐to‐peak amplitude was 1.7 cm indicates that Patient 1 ‘over‐shot’ the AVB breathing limits. For future patients in this study further attention will be given to managing breathing motion amplitude and patient training. In conclusion, the first patient recruited into this study yielded the decision to utilise AVB through their course of SBRT. Patient 1 demonstrated good acceptance of the breathing guide in addition to increasingly regular breathing throughout their course of SBRT.
  4 in total

1.  Robust automatic segmentation of multiple implanted cylindrical gold fiducial markers in cone-beam CT projections.

Authors:  Walther Fledelius; Esben Worm; Ulrik V Elstrøm; Jørgen B Petersen; Cai Grau; Morten Høyer; Per R Poulsen
Journal:  Med Phys       Date:  2011-12       Impact factor: 4.071

2.  Audio-visual biofeedback for respiratory-gated radiotherapy: impact of audio instruction and audio-visual biofeedback on respiratory-gated radiotherapy.

Authors:  Rohini George; Theodore D Chung; Sastry S Vedam; Viswanathan Ramakrishnan; Radhe Mohan; Elisabeth Weiss; Paul J Keall
Journal:  Int J Radiat Oncol Biol Phys       Date:  2006-07-01       Impact factor: 7.038

3.  Audiovisual biofeedback improves diaphragm motion reproducibility in MRI.

Authors:  Taeho Kim; Sean Pollock; Danny Lee; Ricky O'Brien; Paul Keall
Journal:  Med Phys       Date:  2012-11       Impact factor: 4.071

4.  Deviations in delineated GTV caused by artefacts in 4DCT.

Authors:  Gitte Fredberg Persson; Ditte Eklund Nygaard; Carsten Brink; Jonas Westberg Jahn; Per Munck af Rosenschöld; Lena Specht; Stine Sofia Korreman
Journal:  Radiother Oncol       Date:  2010-06-01       Impact factor: 6.280

  4 in total

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