Technical note: Institutional solution of clinical cine MRI for tumor motion evaluation in radiotherapy
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Applied Clinical Medical Physics"
DOI: 10.1002/acm2.13650
Abstract: Abstract Purpose Since 4D‐MRI is inadequate to capture dynamic respiratory variations, real‐time cinematographic (cine) MRI is actively used in MR‐guided radiotherapy (MRgRT) for tumor motion evaluation, delineation, and tracking. However, most radiotherapy imaging platforms do… read more here.
Keywords: motion evaluation; tumor motion; cine; cine mri ... See more keywords
A new method for assessing lung tumor motion in radiotherapy using dynamic chest radiography
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DOI: 10.1002/acm2.13736
Abstract: Abstract Dynamic chest radiography (DCR) is a recent advanced modality to acquire dynamic and functional images. We developed a new method using DCR and the free analysis software, Kinovea, to assess lung tumor motion. This… read more here.
Keywords: tumor motion; motion; lung tumor; method ... See more keywords
Evaluation of lung tumor motion in a large sample: Target‐related and clinical factors influencing tumor motion based on four‐dimensional CT
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DOI: 10.1002/cam4.4255
Abstract: We aimed to analyze the influence of target‐related and clinical factors on lung tumor motion based on four‐dimensional CT (4DCT), and clarify the motion based on subgroups in lung stereotactic body radiation therapy. read more here.
Keywords: motion; related clinical; tumor motion; target related ... See more keywords
A Super-Learner Model for Tumor Motion Prediction and Management in Radiation Therapy: Development and Feasibility Evaluation
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DOI: 10.1038/s41598-019-51338-y
Abstract: In cancer radiation therapy, large tumor motion due to respiration can lead to uncertainties in tumor target delineation and treatment delivery, thus making active motion management an essential step in thoracic and abdominal tumor treatment.… read more here.
Keywords: motion; tumor motion; super learner; learner model ... See more keywords
Machine learning for predicting accuracy of lung and liver tumor motion tracking using radiomic features
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DOI: 10.21037/qims-22-621
Abstract: Background Internal tumor motion is commonly predicted using external respiratory signals. However, the internal/external correlation is complex and patient-specific. The purpose of this study was to develop various models based on the radiomic features of… read more here.
Keywords: tumor motion; radiomic features; lung liver;
Quantifying 6D tumor motion and calculating PTV margins during liver stereotactic radiotherapy with fiducial tracking
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DOI: 10.3389/fonc.2022.1021119
Abstract: Objective Our study aims to estimate intra-fraction six-dimensional (6D) tumor motion with rotational correction and the related correlations between motions of different degrees of freedom (DoF), as well as quantify sufficient anisotropic clinical target volume… read more here.
Keywords: ptv; tumor motion; ptv margins; fiducial tracking ... See more keywords
Intrafraction tumor motion monitoring and dose reconstruction for liver pencil beam scanning proton therapy
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DOI: 10.3389/fonc.2023.1112481
Abstract: Background Pencil beam scanning (PBS) proton therapy can provide highly conformal target dose distributions and healthy tissue sparing. However, proton therapy of hepatocellular carcinoma (HCC) is prone to dosimetrical uncertainties induced by respiratory motion. This… read more here.
Keywords: beam; tumor motion; proton therapy; motion ... See more keywords