Abstract
Purposes: The purpose of this work is to retrospectively verify treatment dose delivered in patients treated with stereotactic radiotherapy (SRT) to the lung. Method and Materials: In this study, a stereotactic body localizer (SBL) system was used for lung cancer patient immobilization in the CT simulation and stereotactic treatment planning on a prospective dose escalation protocol for malignant lung tumors. Prior to each treatment, a localization CT san was obtained in the treatment room after the patient was immobilized in the SBL. The stereotactic coordinates of three pre-selected bony landmarks were recorded from the pre-treatment scan and compared with those of the planning scan. Couch shifts were made based on the bony-landmark displacements. Image fusion was performed between the simulation CT scan to each pre-treatment CT scan in order to obtain the same planning target volumes (PTVs) and critical structures. The same treatment plans were re-loaded onto each pre-treatment CT scan with their respective stereotactic coordinate system. The changes in dose distributions were assessed by dose-volume histograms of the PTV and normal structures for the old and new isocenter coordinates using the bony-landmark shifts. We compared D95, D99, and V95 for the PTV and GTV, and V20 and V30 for the ipsilateral lung. Results: Our preliminary study for 6 patients with 20 dose reconstructions showed that the average D95, D99, and V95 of the PTVs are 95.9%, 93.6%, and 98.4% of the planned values before bony-landmark shifts. With the bony-landmark shifts, these values are all improved to 100% of the planned values. The average V20 and V30 are 7–8% higher than the planned values without bony‐landmark shifts and recovered the planned values after the corrections. Conclusion: With near real‐time 3D image guidance for setup error correction, the delivered dose distribution can be ensured for SRT hypofractionated lung treatment.
| Original language | English |
|---|---|
| Pages (from-to) | 1941 |
| Number of pages | 1 |
| Journal | Medical Physics |
| Volume | 32 |
| Issue number | 6 |
| DOIs | |
| State | Published - Jun 2005 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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