Animation and radiobiological analysis of 3D motion in conformal radiotherapy

Mackay, Ranald I; Graham, Paul; Moore, Christopher; Logue, John P; Sharrock, Phillip J

doi:10.1016/s0167-8140(99)00081-x

Cited by 12 publications

(2 citation statements)

References 20 publications

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“…CRT of the prostate typically delivers a highly uniform dose to the CTV, 64 minimizing the potential impact of dose heterogeneity upon the TCP model. Furthermore, CRT has been shown to be a very robust treatment delivery technique, 65 increasing confidence in the validity of the reported delivered doses.…”

Section: Ivi the Effect Of Dose Heterogeneitymentioning

confidence: 99%

A TCP model for external beam treatment of intermediate‐risk prostate cancer

Walsh

Putten

2013

Medical Physics

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Section: Ivi the Effect Of Dose Heterogeneitymentioning

confidence: 99%

A TCP model for external beam treatment of intermediate‐risk prostate cancer

Walsh

Putten

2013

Medical Physics

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“…Tumor target movement data compiled both from simulations 12 and from the clinical study of repeat CT scans 24 have been incorporated into conformal treatment plans. 15,16 The promise of improvements to therapeutic ratio, by dose escalation and intensity modulation of radiation beams, is leading clinical practice towards techniques that will require explicit knowledge of the changing body surface topology of the patient in the treatment room. This is simply because the importance of body surface shape is increased for these techniques and cannot simply be subsumed into the planning target envelope alone.…”

Section: Introductionmentioning

confidence: 99%

3D dynamic body surface sensing and CT-body matching: A tool for patient set-up and monitoring in radiotherapy

Moore

Graham

2000

Comput. Aided Surg.

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Recent advances in radical broad-beam conformal radiotherapy for disease at non-rigid sites suggest that the treatment room set-up of patients should be performed using the CT-plan digital body surface as a reference standard. In effect, the CT-plan surface is a "virtual shell" and should be used as such. To do this requires 3D body surface information to be captured live in the treatment room and then manipulated for comparison with the CT virtual shell. To address this situation, a near real-time prototype opto-electronic dynamic 3D surface sensor has been developed and equipped with a novel software utility for visualizing and matching the disparate surfaces arising from planning and treatment environments. Using the CT virtual shell and height-maps produced by the sensor, a two-phase 3D positioning strategy for patient set-up and monitoring is described. Phase one is an image-guided manual "approach". Phase two is automated "docking" using simulated annealing to determine optimum set-up corrections. The concepts and implementation are illustrated using archival patient data and an anthropomorphic phantom "patient" in a treatment room environment.

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