International Journal of Radiation Oncology * Biology * Physics
Volume 70, Issue 4 , Pages 1229-1238, 15 March 2008

Comparison of Different Strategies to Use Four-Dimensional Computed Tomography in Treatment Planning for Lung Cancer Patients

Department of Radiation Oncology, The Netherlands Cancer Institute – Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands

Received 9 August 2007; received in revised form 3 October 2007; accepted 9 November 2007.

Purpose

To discuss planning target volumes (PTVs) based on internal target volume (PTVITV), exhale-gated radiotherapy (PTVGating), and a new proposed midposition (PTVMidP; time-weighted mean tumor position) and compare them with the conventional free-breathing CT scan PTV (PTVConv).

Methods and Materials

Respiratory motion induces systematic and random geometric uncertainties. Their contribution to the clinical target volume (CTV)-to-PTV margins differs for each PTV approach. The uncertainty margins were calculated using a dose–probability-based margin recipe (based on patient statistics). Tumor motion in four-dimensional CT scans was determined using a local rigid registration of the tumor. Geometric uncertainties for interfractional setup errors and tumor baseline variation were included. For PTVGating, the residual motion within a 30% gating (time) window was determined. The concepts were evaluated in terms of required CTV-to-PTV margin and PTV volume for 45 patients.

Results

Over the patient group, the PTVITV was on average larger (+6%) and the PTVGating and PTVMidP smaller (−10%) than the PTVConv using an off-line (bony anatomy) setup correction protocol. With an on-line (soft tissue) protocol the differences in PTV compared with PTVConv were +33%, −4%, and 0, respectively.

Conclusions

The internal target volume method resulted in a significantly larger PTV than conventional CT scanning. The exhale-gated and mid-position approaches were comparable in terms of PTV. However, mid-position (or mid-ventilation) is easier to use in the clinic because it only affects the planning part of treatment and not the delivery.

Computed tomography, Lung cancer, Geometric uncertainties, Planning target volume margin

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 Supported by a grant from the Dutch Cancer Society (NKI 03-2943).

 Presented in part at the 2006 (Leipzig, Germany) and 2007 (Barcelona, Spain) Annual Meetings of the European Society for Therapeutic Radiology and Oncology (ESTRO).

 Conflict of interest: J.-J. Sonke is partly sponsored by Elekta Oncology Systems.

PII: S0360-3016(07)04592-0

doi:10.1016/j.ijrobp.2007.11.042

International Journal of Radiation Oncology * Biology * Physics
Volume 70, Issue 4 , Pages 1229-1238, 15 March 2008