ArticleBMC cancer2018
Moving targets in 4D-CTs versus MIP and AIP: comparison of patients data to phantom data.
Article in BMC cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Evaluation of the reliability of markerless tumor tracking with single-energy and dual-energy imaging using machine learning.Journal of applied clinical medical physics · 2026Article
- Evaluating the utility of simulated respiratory-gated four-dimensional computed tomography in internal-target-volume-based treatment planning for irregular breathing patterns.Radiological physics and technology · 2026Article
- Effect of respiration-induced motion on a three-dimensional magnetic resonance imaging-based adaptive radiotherapy workflow in a 1.5T magnetic resonance linear accelerator.Quantitative imaging in medicine and surgery · 2025Article
- Smart contours: deep learning-driven internal gross tumor volume delineation in non-small cell lung cancer using 4D CT maximum and average intensity projections.Radiation oncology (London, England) · 2025Article
- Dosimetric investigation of multi-parametric 4D-MRI for radiotherapy in liver cancer.Radiation oncology (London, England) · 2025Article
- Article
- A novel internal target volume definition based on velocity and time of respiratory target motion for external beam radiotherapy.Radiological physics and technology · 2024Article
- A deep learning-informed interpretation of why and when dose metrics outside the PTV can affect the risk of distant metastasis in SBRT NSCLC patients.Radiation oncology (London, England) · 2024Article
- Improving motion management in radiation therapy: findings from a workshop and survey in Australia and New Zealand.Physical and engineering sciences in medicine · 2024Article
- Evaluation of target volume and dose accuracy in intrafractional cases of lung cancer based on 4D-CT and 4D-CBCT images using an in-house dynamic thorax phantom.Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology · 2022Article
- Functional lung imaging in thoracic tumor radiotherapy: Application and progress.Frontiers in oncology · 2022Review
- Lung tumor segmentation in 4D CT images using motion convolutional neural networks.Medical physics · 2021Article
- Experimental evaluation of four-dimensional Magnetic Resonance Imaging for radiotherapy planning of lung cancer.Physics and imaging in radiation oncology · 2021Article
- Evaluation of Lung Tumor Target Volume in a Large Sample: Target and Clinical Factors Influencing the Volume Derived From Four-Dimensional CT and Cone Beam CT.Frontiers in oncology · 2021Article
- Validation of the RayStation Monte Carlo dose calculation algorithm using a realistic lung phantom.Journal of applied clinical medical physics · 2019Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeMaximum (MIP) and average intensity projection (AIP) CTs allow rapid definition of internal target volumes in a 4D-CT. The purpose of this study was to assess the accuracy of these techniques in a large patient cohort in combination with simulations on a lung phantom.
methods4DCT data from a self-developed 3D lung phantom and from 50 patients with lung tumors were analyzed. ITVs were contoured in maximum (ITV
resultsITV
conclusionThe application of MIP and AIP in the clinical practice should not be a standard procedure for every patient, since relevant underestimation of tumor volumes may occur. This is especially true if the tumor borders the mediastinum, the chest wall or the diaphragm and if tumors show a large motion amplitude.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.