The impact of audiovisual biofeedback on 4D functional and anatomic imaging: Results of a lung cancer pilot study

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• 作者：Jaewon Yang^a ; ^c ; ¹ ; Tokihiro Yamamoto^d ; ¹ ; Sean Pollock^e ; Jonathan Berger^b ; Maximilian Diehn^c ; Edward E. Graves^c ; Billy W. Loo Jr.^c ; Paul J. Keall^e ; ^{paul.keall@sydney.edu.au" class="auth_mail" title="E-mail the corresponding author}
• 关键词：Motion management ; Audiovisual biofeedback ; Lung cancer ; 4D PET ; 4D CT
• 刊名：Radiotherapy and Oncology
• 出版年：2016
• 出版时间：August 2016
• 年：2016
• 卷：120
• 期：2
• 页码：267-272
• 全文大小：1330 K

文摘

The impact of audiovisual (AV) biofeedback on four dimensional (4D) positron emission tomography (PET) and 4D computed tomography (CT) image quality was investigated in a prospective clinical trial (NCT01172041).

Material and methods

4D-PET and 4D-CT images of ten lung cancer patients were acquired with AV biofeedback (AV) and free breathing (FB). The 4D-PET images were analyzed for motion artifacts by comparing 4D to 3D PET for gross tumor volumes (GTV_PET) and maximum standardized uptake values (SUV_max). The 4D-CT images were analyzed for artifacts by comparing normalized cross correlation-based scores (NCCS) and quantifying a visual assessment score (VAS). A Wilcoxon signed-ranks test was used for statistical testing.

Results

The impact of AV biofeedback varied widely. Overall, the 3D to 4D decrease of GTV_PET was 1.2 ± 1.3 cm³ with AV and 0.6 ± 1.8 cm³ for FB. The 4D-PET increase of SUV_max was 1.3 ± 0.9 with AV and 1.3 ± 0.8 for FB. The 4D-CT NCCS were 0.65 ± 0.27 with AV and 0.60 ± 0.32 for FB (p = 0.08). The 4D-CT VAS was 0.0 ± 2.7.

Conclusion

This study demonstrated a high patient dependence on the use of AV biofeedback to reduce motion artifacts in 4D imaging. None of the hypotheses tested were statistically significant. Future development of AV biofeedback will focus on optimizing the human–computer interface and including patient training sessions for improved comprehension and compliance.