Imaging tumour motion for radiotherapy planning using MRI

Kauczor, Hans‐Ulrich; Plathow, Christian

doi:10.1102/1470-7330.2006.9027

Cited by 25 publications

(14 citation statements)

References 22 publications

(20 reference statements)

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“…This sequence has been widely used for real-time tumor motion imaging. [14][15][16][17][18] MRI parameters were optimized to balance signal-to-noise ratio (SNR), spatial resolution ($1.5 mm in-plane pixel size), and temporal resolution ($3 frames=s).…”

Section: Iib 4d-mri Techniquementioning

confidence: 99%

Four‐dimensional magnetic resonance imaging (4D‐MRI) using image‐based respiratory surrogate: A feasibility study

et al. 2011

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Purpose: Four-dimensional computed tomography (4D-CT) has been widely used in radiation therapy to assess patient-specific breathing motion for determining individual safety margins. However, it has two major drawbacks: low soft-tissue contrast and an excessive imaging dose to the patient. This research aimed to develop a clinically feasible four-dimensional magnetic resonance imaging (4D-MRI) technique to overcome these limitations. Methods: The proposed 4D-MRI technique was achieved by continuously acquiring axial images throughout the breathing cycle using fast 2D cine-MR imaging, and then retrospectively sorting the images by respiratory phase. The key component of the technique was the use of body area (BA) of the axial MR images as an internal respiratory surrogate to extract the breathing signal. The validation of the BA surrogate was performed using 4D-CT images of 12 cancer patients by comparing the respiratory phases determined using the BA method to those determined clinically using the Real-time position management (RPM) system. The feasibility of the 4D-MRI technique was tested on a dynamic motion phantom, the 4D extended Cardiac Torso (XCAT) digital phantom, and two healthy human subjects. Results: Respiratory phases determined from the BA matched closely to those determined from the RPM: mean (6SD) difference in phase: À3.9% (66.4%); mean (6SD) absolute difference in phase: 10.40% (63.3%); mean (6SD) correlation coefficient: 0.93 (60.04). In the motion phantom study, 4D-MRI clearly showed the sinusoidal motion of the phantom; image artifacts observed were minimal to none. Motion trajectories measured from 4D-MRI and 2D cine-MRI (used as a reference) matched excellently: the mean (6SD) absolute difference in motion amplitude: À0.3 (60.5) mm. In the 4D-XCAT phantom study, the simulated "4D-MRI" images showed good consistency with the original 4D-XCAT phantom images. The motion trajectory of the hypothesized "tumor" matched excellently between the two, with a mean (6SD) absolute difference in motion amplitude of 0.5 (60.4) mm. 4D-MRI was able to reveal the respiratory motion of internal organs in both human subjects; superior-inferior (SI) maximum motion of the left kidney of Subject #1 and the diaphragm of Subject #2 measured from 4D-MRI was 0.88 and 1.32 cm, respectively. Conclusions: Preliminary results of our study demonstrated the feasibility of a novel retrospective 4D-MRI technique that uses body area as a respiratory surrogate.

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Section: Iib 4d-mri Techniquementioning

confidence: 99%

Four‐dimensional magnetic resonance imaging (4D‐MRI) using image‐based respiratory surrogate: A feasibility study

et al. 2011

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“…The alveolar architecture of the lung, the related magnetic susceptibility effects, and motion from breathing and cardiac pulsation results in a low signalto-noise ratio and limits overall image quality (21)(22)(23). Modern MR imaging has recently shown potential to overcome these hurdles through technical breakthroughs such as fast imaging sequences, parallel acquisition, and triggering techniques (22)(23)(24). These advances enable MR imaging to depict even small cancerous lesions (25,26).…”

mentioning

confidence: 99%

The Diagnostic Value of MR Imaging in Determining the Lymph Node Status of Patients with Non–Small Cell Lung Cancer: A Meta-Analysis

Peerlings¹,

Troost²,

Nelemans³

et al. 2016

Radiology

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Purpose To summarize existing evidence of thoracic magnetic resonance (MR) imaging in determining the nodal status of non-small cell lung cancer (NSCLC) with the aim of elucidating its diagnostic value on a per-patient basis (eg, in treatment decision making) and a per-node basis (eg, in target volume delineation for radiation therapy), with results of cytologic and/or histologic examination as the reference standard. Materials and Methods A systematic literature search for original diagnostic studies was performed in PubMed, Web of Science, Embase, and MEDLINE. The methodologic quality of each study was evaluated by using the Quality Assessment of Diagnostic Accuracy Studies 2, or QUADAS-2, tool. Hierarchic summary receiver operating characteristic curves were generated to estimate the diagnostic performance of MR imaging. Subgroup analyses, expressed as relative diagnostic odds ratios (DORs) (rDORs), were performed to evaluate whether publication year, methodologic quality, and/or method of evaluation (qualitative [ie, lesion size and/or morphology] vs quantitative [eg, apparent diffusion coefficients in diffusion-weighted images]) affected diagnostic performance. Results Twelve of 2551 initially identified studies were included in this meta-analysis (1122 patients; 4302 lymph nodes). On a per-patient basis, the pooled estimates of MR imaging for sensitivity, specificity, and DOR were 0.87 (95% confidence interval [CI]: 0.78, 0.92), 0.88 (95% CI: 0.77, 0.94), and 48.1 (95% CI: 23.4, 98.9), respectively. On a per-node basis, the respective measures were 0.88 (95% CI: 0.78, 0.94), 0.95 (95% CI: 0.87, 0.98), and 129.5 (95% CI: 49.3, 340.0). Subgroup analyses suggested greater diagnostic performance of quantitative evaluation on both a per-patient and per-node basis (rDOR = 2.76 [95% CI: 0.83, 9.10], P = .09 and rDOR = 7.25 [95% CI: 1.75, 30.09], P = .01, respectively). Conclusion This meta-analysis demonstrated high diagnostic performance of MR imaging in staging hilar and mediastinal lymph nodes in NSCLC on both a per-patient and per-node basis. (©) RSNA, 2016 Online supplemental material is available for this article.

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“…These features highlight the potential of MRI to improve treatment accuracy and precision across the entire radiotherapy workflow, particularly in the presence of organ motion. For treatment planning, the superior soft-tissue contrast of MRI can decrease organ delineation uncertainties (Schmidt and Payne 2015), whilst the dose-free nature of MRI enables multiple and extended acquisitions, accounting for cycleto-cycle breathing variations (Kauczor and Plathow 2006, Biederer et al 2010, Jaffray 2012. During treatment, the new generation of in-room MRI / X-ray treatment unit systems (Ménard and van der Heide 2014, Keall, Barton and Crozier 2014, Fallone 2014, Lagendijk et al 2014, Jaffray et al 2014, Mutic and Dempsey 2014 allows direct imaging and both inter-and intra-fraction treatment adaptation strategies (Bainbridge et al 2017a, Hunt et al 2018.…”

Section: Introductionmentioning

confidence: 99%

MRI-guidance for motion management in external beam radiotherapy: current status and future challenges

et al. 2018

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Imaging tumour motion for radiotherapy planning using MRI

Cited by 25 publications

References 22 publications

Four‐dimensional magnetic resonance imaging (4D‐MRI) using image‐based respiratory surrogate: A feasibility study

Four‐dimensional magnetic resonance imaging (4D‐MRI) using image‐based respiratory surrogate: A feasibility study

The Diagnostic Value of MR Imaging in Determining the Lymph Node Status of Patients with Non–Small Cell Lung Cancer: A Meta-Analysis

MRI-guidance for motion management in external beam radiotherapy: current status and future challenges

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