Accuracy of a Time-of-Flight (ToF) Imaging System for Monitoring Deep-Inspiration Breath-Hold Radiotherapy (DIBH-RT) for Left Breast Cancer Patients

Author:

Abubakar Auwal1,Shaukat Shazril Imran2,Karim Noor Khairiah A2,Kassim Mohd Zakir2,Appalanaido Gokula Kumar2,Zin Hafiz2ORCID

Affiliation:

1. University of Maiduguri

2. Universiti Sains Malaysia

Abstract

Abstract Deep inspiration breath-hold radiotherapy (DIBH-RT) reduces cardiac dose by over 50%. However poor breath-hold reproducibility could result in target miss which compromises the treatment success. This study aimed to benchmark the accuracy of a Time-of-Flight (ToF) imaging system for monitoring breath-hold during DIBH-RT. The accuracy of an Argos P330 3D ToF camera (Bluetechnix, Austria) was evaluated for patient setup verification and intra-fraction monitoring among 13 DIBH-RT left breast cancer patients. The ToF imaging was performed simultaneously with in-room cone beam computed tomography (CBCT) and electronic portal imaging device (EPID) imaging systems during patient setup and treatment delivery, respectively. Patient surface depths (PSD) during setup were extracted from the ToF and the CBCT images during free breathing (FB) and DIBH using MATLAB (MathWorks, Natick, MA) and the chest surface displacement (CSD) were compared. The mean difference ± standard deviation, correlation coefficient, and limit of agreement (LOA) between the CBCT and ToF were 2.88 ± 5.89 mm, 0.92, and -7.36, 1.60 mm, respectively. The breath-hold stability and reproducibility were estimated using the central lung depth (CLD) extracted from the EPID images during treatment and compared with the PSD from the ToF. The average correlation between ToF and EPID was -0.84. The average intra-field reproducibility for all the fields was within 2.70 mm. The average intra-fraction reproducibility and stability were 3.74 mm, and 0.80 mm, respectively. The study demonstrated the feasibility of using ToF camera for monitoring breath-hold during DIBH-RT and shows good breath-hold reproducibility and stability during the treatment delivery.

Publisher

Research Square Platform LLC

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