Assessment of Respiration-Induced Motion and Its Impact on Treatment Outcome for Lung Cancer

Wang, Yan; Bao, Yong; Zhang, Li; Fan, Wei; He, Hong; Sun, Zong Wen; Hu, Xiao; Huang, Shao Min; Chen, Ming; Deng, Xiao Wu

doi:10.1155/2013/872739

Cited by 20 publications

(19 citation statements)

References 30 publications

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“…Diaphragm (24) and lung tumor rotation (25) was observed in 4-dimensional computed tomography but not quantified. Given the complexity of lung motion, we present the first attempt to demonstrate high-frequency respiratory-induced rotation from general lung movement.…”

Section: Discussionmentioning

confidence: 94%

Six Degrees-of-Freedom Prostate and Lung Tumor Motion Measurements Using Kilovoltage Intrafraction Monitoring

Huang

Tehrani

et al. 2015

International Journal of Radiation Oncology*Biology*Physics

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Section: Discussionmentioning

confidence: 94%

Six Degrees-of-Freedom Prostate and Lung Tumor Motion Measurements Using Kilovoltage Intrafraction Monitoring

Huang

Tehrani

et al. 2015

International Journal of Radiation Oncology*Biology*Physics

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“…A challenge in cancer treatment is improving the precision of dose delivery. The tumour position is often not fixed during treatment and can move by as much as the tumour size during extended treatment times 30,31 . Therefore, use of a single beam, as considered here, would be of value when tumour motion is important.…”

Section: Discussionmentioning

confidence: 99%

Focused very high-energy electron beams as a novel radiotherapy modality for producing high-dose volumetric elements

Kokurewicz

Brunetti

Welsh

et al. 2019

Sci Rep

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The increased inertia of very high-energy electrons (VHEEs) due to relativistic effects reduces scattering and enables irradiation of deep-seated tumours. However, entrance and exit doses are high for collimated or diverging beams. Here, we perform a study based on Monte Carlo simulations of focused VHEE beams in a water phantom, showing that dose can be concentrated into a small, well-defined volumetric element , which can be shaped or scanned to treat deep-seated tumours. The dose to surrounding tissue is distributed over a larger volume, which reduces peak surface and exit doses for a single beam by more than one order of magnitude compared with a collimated beam.

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“…Respiratory-gated 4-dimensional computed tomography (4D-CT) offers spatial and temporal information for tumor motion and has become indispensable for the highly conformal treatment of lung tumors (2). Despite revolutionizing high-dose conformal lung cancer therapy, conventional 4D-CT methods suffer from image artifacts that can distort structures of interest (4) and inaccurately characterize breathing motion (5, 6) due to their inability to account for irregular breathing.…”

Section: Introductionmentioning

confidence: 99%

A Novel Fast Helical 4D-CT Acquisition Technique to Generate Low-Noise Sorting Artifact–Free Images at User-Selected Breathing Phases

Thomas

Lamb

White

et al. 2014

International Journal of Radiation Oncology*Biology*Physics

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Purpose To develop a novel 4-dimensional computed tomography (4D-CT) technique that exploits standard fast helical acquisition, a simultaneous breathing surrogate measurement, deformable image registration, and a breathing motion model to remove sorting artifacts. Methods and Materials Ten patients were imaged under free-breathing conditions 25 successive times in alternating directions with a 64-slice CT scanner using a low-dose fast helical protocol. An abdominal bellows was used as a breathing surrogate. Deformable registration was used to register the first image (defined as the reference image) to the subsequent 24 segmented images. Voxel-specific motion model parameters were determined using a breathing motion model. The tissue locations predicted by the motion model in the 25 images were compared against the deformably registered tissue locations, allowing a model prediction error to be evaluated. A low-noise image was created by averaging the 25 images deformed to the first image geometry, reducing statistical image noise by a factor of 5. The motion model was used to deform the low-noise reference image to any user-selected breathing phase. A voxel-specific correction was applied to correct the Hounsfield units for lung parenchyma density as a function of lung air filling. Results Images produced using the model at user-selected breathing phases did not suffer from sorting artifacts common to conventional 4D-CT protocols. The mean prediction error across all patients between the breathing motion model predictions and the measured lung tissue positions was determined to be 1.19 ± 0.37 mm. Conclusions The proposed technique can be used as a clinical 4D-CT technique. It is robust in the presence of irregular breathing and allows the entire imaging dose to contribute to the resulting image quality, providing sorting artifact–free images at a patient dose similar to or less than current 4D-CT techniques.

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Assessment of Respiration-Induced Motion and Its Impact on Treatment Outcome for Lung Cancer

Cited by 20 publications

References 30 publications

Six Degrees-of-Freedom Prostate and Lung Tumor Motion Measurements Using Kilovoltage Intrafraction Monitoring

Six Degrees-of-Freedom Prostate and Lung Tumor Motion Measurements Using Kilovoltage Intrafraction Monitoring

Focused very high-energy electron beams as a novel radiotherapy modality for producing high-dose volumetric elements

A Novel Fast Helical 4D-CT Acquisition Technique to Generate Low-Noise Sorting Artifact–Free Images at User-Selected Breathing Phases

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