Optimizing the Patient Positioning Workflow of Patients with Pelvis, Limb, and Chest/Spine Tumors at an Ion-Beam Gantry based on Optical Surface Guidance

Qubala, Abdallah; Schwahofer, A.; Jersemann, Stefan; Eskandarian, Saleh; Harrabi, Semi; Naumann, Patrick; Winter, Marcus; Ellerbrock, M.; Shafee, Jehad; Abtehi, Samira; Herfarth, Klaus; Debus, Jürgen; Jäkel, Oliver

doi:10.1016/j.adro.2022.101105

Cited by 8 publications

(19 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Based on a fixed 5 cm × 5 cm patch, SimRT calculates the real‐time position deviations of a surface region by using a rigid‐body transformation between the reference and the current surface. The principles used by the software are active stereo photogrammetry and triangulation 32,36 . Moreover, the pod is mounted on the ceiling above the foot of the couch with a view into the CT‐bore and can be used for several applications such as 4DCT or deep inspiration breath hold 37 .…”

Section: Methodsmentioning

confidence: 99%

“…The principles used by the software are active stereo photogrammetry and triangulation. 32 , 36 Moreover, the pod is mounted on the ceiling above the foot of the couch with a view into the CT‐bore and can be used for several applications such as 4DCT or deep inspiration breath hold. 37 SimRT has an automatic learning period before getting ready to detect the breathing pattern which can be reviewed and imported into the CT console retrospectively.…”

Section: Methodsmentioning

confidence: 99%

“…The principles used by the software are active stereo photogrammetry and triangulation. 32,36 Moreover, the pod is mounted on the ceiling above the foot of the couch with…”

Section: Rmssmentioning

confidence: 99%

“…In the last decade, SGRT has been investigated intensively 27 , 32 , 33 , 34 to ensure correct patient positioning and tracking during an RT course without additional doses. Furthermore, SGRT may supply a faster and more precise patient positioning compared with skin marks, reducing the re‐imaging rate in the clinical patient setup workflow.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Comparative evaluation of a surface‐based respiratory monitoring system against a pressure sensor for 4DCT image reconstruction in phantoms

Qubala,

Shafee,

Batista

et al. 2023

J Applied Clin Med Phys

Self Cite

View full text Add to dashboard Cite

Four‐dimensional computed tomography (4DCT), which relies on breathing‐induced motion, requires realistic surrogate information of breathing variations to reconstruct the tumor trajectory and motion variability of normal tissues accurately. Therefore, the SimRT surface‐guided respiratory monitoring system has been installed on a Siemens CT scanner. This work evaluated the temporal and spatial accuracy of SimRT versus our commonly used pressure sensor, AZ‐733 V.A dynamic thorax phantom was used to reproduce regular and irregular breathing patterns acquired by SimRT and Anzai. Various parameters of the recorded breathing patterns, including mean absolute deviations (MAD), Pearson correlations (PC), and tagging precision, were investigated and compared to ground‐truth. Furthermore, 4DCT reconstructions were analyzed to assess the volume discrepancy, shape deformation and tumor trajectory.Compared to the ground‐truth, SimRT more precisely reproduced the breathing patterns with a MAD range of 0.37 ± 0.27 and 0.92 ± 1.02 mm versus Anzai with 1.75 ± 1.54 and 5.85 ± 3.61 mm for regular and irregular breathing patterns, respectively. Additionally, SimRT provided a more robust PC of 0.994 ± 0.009 and 0.936 ± 0.062 for all investigated breathing patterns. Further, the peak and valley recognition were found to be more accurate and stable using SimRT. The comparison of tumor trajectories revealed discrepancies up to 7.2 and 2.3 mm for Anzai and SimRT, respectively. Moreover, volume discrepancies up to 1.71 ± 1.62% and 1.24 ± 2.02% were found for both Anzai and SimRT, respectively.SimRT was validated across various breathing patterns and showed a more precise and stable breathing tracking, (i) independent of the amplitude and period, (ii) and without placing any physical devices on the patient's body. These findings resulted in a more accurate temporal and spatial accuracy, thus leading to a more realistic 4DCT reconstruction and breathing‐adapted treatment planning.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

“…The principles used by the software are active stereo photogrammetry and triangulation. 32,36 Moreover, the pod is mounted on the ceiling above the foot of the couch with…”

Section: Rmssmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Comparative evaluation of a surface‐based respiratory monitoring system against a pressure sensor for 4DCT image reconstruction in phantoms

Qubala,

Shafee,

Batista

et al. 2023

J Applied Clin Med Phys

Self Cite

View full text Add to dashboard Cite

show abstract

“…To position the CIRS phantom in the treatment room by AlignRT prior to the position verification with planar kV imaging, the reference surface was also created in the TPS and exported to AlingRT including the information of the irradiation plan (RTPlan and RTStruct). A detailed description of how patient positioning using SGRT works is included in our previous study 51 …”

Section: Methodsmentioning

confidence: 99%

Characteristics of breathing‐adapted gating using surface guidance for use in particle therapy: A phantom‐based end‐to‐end test from CT simulation to dose delivery

Qubala,

Shafee,

Tessonnier

et al. 2023

J Applied Clin Med Phys

Self Cite

View full text Add to dashboard Cite

To account for intra‐fractional tumor motion during dose delivery in radiotherapy, various treatment strategies are clinically implemented such as breathing‐adapted gating and irradiating the tumor during specific breathing phases. In this work, we present a comprehensive phantom‐based end‐to‐end test of breathing‐adapted gating utilizing surface guidance for use in particle therapy. A commercial dynamic thorax phantom was used to reproduce regular and irregular breathing patterns recorded by the GateRT respiratory monitoring system. The amplitudes and periods of recorded breathing patterns were analysed and compared to planned patterns (ground‐truth). In addition, the mean absolute deviations (MAD) and Pearson correlation coefficients (PCC) between the measurements and ground‐truth were assessed. Measurements of gated and non‐gated irradiations were also analysed with respect to dosimetry and geometry, and compared to treatment planning system (TPS). Further, the latency time of beam on/off was evaluated. Compared to the ground‐truth, measurements performed with GateRT showed amplitude differences between 0.03 ± 0.02 mm and 0.26 ± 0.03 mm for regular and irregular breathing patterns, whilst periods of both breathing patterns ranged with a standard deviation between 10 and 190 ms. Furthermore, the GateRT software precisely acquired breathing patterns with a maximum MAD of 0.30 ± 0.23 mm. The PCC constantly ranged between 0.998 and 1.000. Comparisons between TPS and measured dose profiles indicated absolute mean dose deviations within institutional tolerances of ±5%. Geometrical beam characteristics also varied within our institutional tolerances of 1.5 mm. The overall time delays were <60 ms and thus within both recommended tolerances published by ESTRO and AAPM of 200 and 100 ms, respectively. In this study, a non‐invasive optical surface‐guided workflow including image acquisition, treatment planning, patient positioning and gated irradiation at an ion‐beam gantry was investigated, and shown to be clinically viable. Based on phantom measurements, our results show a clinically‐appropriate spatial, temporal, and dosimetric accuracy when using surface guidance in the clinical setting, and the results comply with international and institutional guidelines and tolerances.

show abstract

Use of surface tracking recordings to identify pitfalls during surface-guided radiotherapy

Klumpp,

Baumbach,

Wegner

et al. 2024

Strahlenther Onkol

View full text Add to dashboard Cite

Optimizing the Patient Positioning Workflow of Patients with Pelvis, Limb, and Chest/Spine Tumors at an Ion-Beam Gantry based on Optical Surface Guidance

Cited by 8 publications

References 32 publications

Comparative evaluation of a surface‐based respiratory monitoring system against a pressure sensor for 4DCT image reconstruction in phantoms

Comparative evaluation of a surface‐based respiratory monitoring system against a pressure sensor for 4DCT image reconstruction in phantoms

Characteristics of breathing‐adapted gating using surface guidance for use in particle therapy: A phantom‐based end‐to‐end test from CT simulation to dose delivery

Use of surface tracking recordings to identify pitfalls during surface-guided radiotherapy

Contact Info

Product

Resources

About