Preliminary results from a study of a respiratory motion tracking system: underestimation of target volume with conventional CT simulation

Kini, Vijay R.; Keall, P.; Vedam, S; Arthur, D. W. G.; Kavanagh, Brian D.; Cardinale, Robert M.; Mohan, Ravi

doi:10.1016/s0360-3016(00)80122-4

Cited by 22 publications

(12 citation statements)

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“…However, there were some notable differences in their findings and findings in the current study. While the MGH group reported both overestimations and underestimations of moving target volumes, as did Caldwell and colleagues [3] and Kini and colleagues [7], only in one instance was a slight amount of underestimation observed in the present study. This was an interesting variation in findings, which may be attributable to several subtle, but important, technical differences in the methods utilized in these related studies.…”

Section: Discussionsupporting

confidence: 61%

Phantom investigation of 3D motion-dependent volume aliasing during CT simulation for radiation therapy planning

Tanyi

Fuß

Varchena³

et al. 2007

Radiat Oncol

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Purpose: To quantify volumetric and positional aliasing during non-gated fast-and slow-scan acquisition CT in the presence of 3D target motion. Methods:Single-slice fast, single-slice slow, and multi-slice fast scan helical CTs were acquired of dynamic spherical targets (1 and 3.15 cm in diameter), embedded in an anthropomorphic phantom. 3D target motions typical of clinically observed tumor motion parameters were investigated. Motion excursions included ± 5, ± 10, and ± 15 mm displacements in the S-I direction synchronized with constant displacements of ± 5 and ± 2 mm in the A-P and lateral directions, respectively. For each target, scan technique, and motion excursion, eight different initial motion-to-scan phase relationships were investigated.Results: An anticipated general trend of target volume overestimation was observed. The mean percentage overestimation of the true physical target volume typically increased with target motion amplitude and decreasing target diameter. Slow-scan percentage overestimations were larger, and better approximated the time-averaged motion envelope, as opposed to fast-scans. Motion induced centroid misrepresentation was greater in the S-I direction for fast-scan techniques, and transaxial direction for the slow-scan technique. Overestimation is fairly uniform for slice widths < 5 mm, beyond which there is gross overestimation. Conclusion:Non-gated CT imaging of targets describing clinically relevant, 3D motion results in aliased overestimation of the target volume and misrepresentation of centroid location, with little or no correlation between the physical target geometry and the CT-generated target geometry. Slow-scan techniques are a practical method for characterizing time-averaged target position. Fastscan techniques provide a more reliable, albeit still distorted, target margin.

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Section: Discussionsupporting

confidence: 61%

Phantom investigation of 3D motion-dependent volume aliasing during CT simulation for radiation therapy planning

Tanyi

Fuß

Varchena³

et al. 2007

Radiat Oncol

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“…Three other centers have published results using the same commercially available system (1,11,19). The purpose of these studies was different from ours, and the combined number of patients was significantly smaller than in our study.…”

Section: Introductionmentioning

confidence: 56%

“…With technical advances in radiotherapy imaging and treatment delivery, and with the goal of increasing accuracy of treatment to minimize normal tissue toxicity or increase dose to the target volume, several articles on respiratory gating have been published (1)(2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18). Several methods to reduce respiratory-induced motion have been described, including active breathing control (4,18) with airflow valves (Wong) and deep inspiration breath hold (3,17).…”

Section: Introductionmentioning

confidence: 99%

Clinical experience using respiratory gated radiation therapy: Comparison of free-breathing and breath-hold techniques

Berson

Emery

Rodriguez

et al. 2004

International Journal of Radiation Oncology*Biology*Physics

149

112

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“…Visualization of tumor characteristics by CT has been performed using a number of scan techniques, including RGCT [24], slow scan CT (SSCT) [25,26], 4DCT [11,27], 4DCT time average [28], and respiratory-correlated segment CT (RSCT) [6,29]. These methods are classified into three general categories, namely definition of total tumor displacement (SSCT and 4DCT time average), tumor displacement at the most stable phase (RGCT), and tumor displacement at respective times (4DCT and RSCT).…”

Section: Discussionmentioning

confidence: 99%

Four-dimensional measurement of lung tumor displacement using 256-multi-slice CT-scanner

Mori¹,

Endo²,

Komatsu³

et al. 2007

Lung Cancer

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Preliminary results from a study of a respiratory motion tracking system: underestimation of target volume with conventional CT simulation

Cited by 22 publications

References 0 publications

Phantom investigation of 3D motion-dependent volume aliasing during CT simulation for radiation therapy planning

Phantom investigation of 3D motion-dependent volume aliasing during CT simulation for radiation therapy planning

Clinical experience using respiratory gated radiation therapy: Comparison of free-breathing and breath-hold techniques

Four-dimensional measurement of lung tumor displacement using 256-multi-slice CT-scanner

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