The accuracy of extracted target motion trajectories in four-dimensional cone-beam computed tomography for lung cancer patients

Iramina, Hiraku; Nakamura, Mitsuhiro; Iizuka, Yusuke; Mitsuyoshi, Takamasa; Hiraoka, Masahiro; Kanno, Ikuo

doi:10.1016/j.radonc.2016.07.022

Cited by 15 publications

(23 citation statements)

References 14 publications

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“…Figure S3 shows, however, that motion in inferior direction was the most underrepresented, potentially caused by the inspiration phase being shorter than the expiration phase [22] and end-exhale being more stable [23]. This finding is in agreement with the data presented by Iramina et al for reconstruction with FDK [13]. Figure S3 can be used as a tool to estimate the non-isotropic motion underrepresentation in 4DCBCT scans for clinical applications.…”

Section: Accepted Manuscriptsupporting

confidence: 86%

“…In contrast to Iramina et al, who reported on the accuracy of target motion trajectories in dual-source 4DCBCT scans and concluded that amplitude-based binning lead to superior results in terms of an accurate motion representation [13], our study utilized phase-based binning for both Calypso and bellows to avoid large maximum angular gaps and interbin image quality variation due to baseline shifts in the respiratory signal [14], due to an observed drift of the bellows signal and sparse projection data (60s scan). In addition, we present iterative PICCS reconstructions and our results for the maximum errors observed for both FDK and PICCS reconstructions are comparable to their data [13].…”

mentioning

confidence: 75%

“…Previous studies either examined different reconstruction algorithms and compared the results to a reference 4DCBCT [12], or used markers in the lung to quantify the motion underrepresentation for Feldkamp-Davis-Kress (FDK) reconstructions [13], usually suffering from poor image quality [14]. There is currently no data in the literature that quantifies the motion underrepresentation for iterative reconstructions in a patient study by comparing to real-time motion data.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

4-Dimensional Cone Beam Computed Tomography–Measured Target Motion Underrepresents Actual Motion

Steiner

Shieh

Caillet

et al. 2018

International Journal of Radiation Oncology*Biology*Physics

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Section: Accepted Manuscriptsupporting

confidence: 86%

mentioning

confidence: 75%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

4-Dimensional Cone Beam Computed Tomography–Measured Target Motion Underrepresents Actual Motion

Steiner

Shieh

Caillet

et al. 2018

International Journal of Radiation Oncology*Biology*Physics

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“…Recently, several devices have been developed to manage respiratory motion, with four‐dimensional CBCT (4D‐CBCT) being particularly useful . Some reports demonstrated the accuracy of tumor localization and image quality of 4D‐CBCT . Likewise, our research group has reported the ability of 4D‐CBCT to acquire highly accurate images from a respiratory motion phantom .…”

Section: Introductionmentioning

confidence: 97%

Estimation of effective imaging dose and excess absolute risk of secondary cancer incidence for four‐dimensional cone‐beam computed tomography acquisition

Yuasa

Shiinoki

Onizuka

et al. 2019

J Applied Clin Med Phys

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This study was conducted to estimate the organ equivalent dose and effective imaging dose for four‐dimensional cone‐beam computed tomography (4D‐CBCT) using a Monte Carlo simulation, and to evaluate the excess absolute risk (EAR) of secondary cancer incidence. The EGSnrc/BEAMnrc were used to simulate the on‐board imager (OBI) from the TrueBeam linear accelerator. Specifically, the OBI was modeled based on the percent depth dose and the off‐center ratio was measured using a three‐dimensional (3D) water phantom. For clinical cases, 15 lung and liver cancer patients were simulated using the EGSnrc/DOSXYZnrc. The mean absorbed doses to the lung, stomach, bone marrow, esophagus, liver, thyroid, bone surface, skin, adrenal glands, gallbladder, heart, intestine, kidney, pancreas and spleen, were quantified using a treatment planning system, and the equivalent doses to each organ were calculated. Subsequently, the effective dose was calculated as the weighted sum of the equivalent dose, and the EAR of the secondary cancer incidence was determined for each organ with the use of the biologic effects of ionizing radiation (BEIR) VII model. The effective doses were 3.9 ± 0.5, 15.7 ± 2.0, and 7.3 ± 0.9 mSv, for the lung, and 4.2 ± 0.6, 16.7 ± 2.4, and 7.8 ± 1.1 mSv, for the liver in the respective cases of the 3D‐CBCT (thorax, pelvis) and 4D‐CBCT modes. The lung EARs for males and females were 7.3 and 10.7 cases per million person‐years, whereas the liver EARs were 9.9 and 4.5 cases per million person‐years. The EAR increased with increasing time since radiation exposure. In clinical studies, we should use 4D‐CBCT based on consideration of the effective dose and EAR of secondary cancer incidence.

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“…Recent improvements in the technology of 4‐Dimensional Computed Tomography (4DCT) image binning,15, 16, 17, 18 respiratory motion monitoring,18, 19, 20, 21, 22, 23 functional imaging correlation,24, 25, 26 and faster imaging techniques have resulted in several delivery methodologies to decrease the impact of lung motion. Another approach to reducing the impact is to minimize the motion itself by incorporating compression belts27 to restrict diaphragm contraction and expansion, implementing breath hold techniques23, 28, 29, 30 or gating the treatment by restricting delivery to particular components of the breathing cycle 14, 20, 25, 31, 32.…”

Section: Introductionmentioning

confidence: 99%

Robust optimization of VMAT for lung cancer: Dosimetric implications of motion compensation techniques

Archibald-Heeren

Byrne

et al. 2017

J Applied Clin Med Phys

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In inverse planning of lung radiotherapy, techniques are required to ensure dose coverage of target disease in the presence of tumor motion as a result of respiration. A range of published techniques for mitigating motion effects were compared for dose stability across 5 breath cycles of ±2 cm. Techniques included planning target volume (PTV) expansions, internal target volumes with (OITV) and without tissue override (ITV), average dataset scans (ADS), and mini‐max robust optimization. Volumetric arc therapy plans were created on a thorax phantom and verified with chamber and film measurements. Dose stability was compared by DVH analysis in calculations across all geometries. The lung override technique resulted in a substantial lack of dose coverage (−10%) to the tumor in the presence of large motion. PTV, ITV and ADS techniques resulted in substantial (up to 25%) maximum dose increases where solid tissue travelled into low density optimized regions. The results highlight the need for care in optimization of highly heterogeneous where density variations may occur with motion. Robust optimization was shown to provide greater stability in both maximum (<3%) and minimum dose variations (<2%) over all other techniques.

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The accuracy of extracted target motion trajectories in four-dimensional cone-beam computed tomography for lung cancer patients

Cited by 15 publications

References 14 publications

4-Dimensional Cone Beam Computed Tomography–Measured Target Motion Underrepresents Actual Motion

4-Dimensional Cone Beam Computed Tomography–Measured Target Motion Underrepresents Actual Motion

Estimation of effective imaging dose and excess absolute risk of secondary cancer incidence for four‐dimensional cone‐beam computed tomography acquisition

Robust optimization of VMAT for lung cancer: Dosimetric implications of motion compensation techniques

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