Journal of Advances in Developmental Research

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Stereotactic Body Radiotherapy for Lung Cancer: Insights from an Institutional CyberKnife Study

Author(s) Priya Jacob
Country United States
Abstract This retrospective study aimed to evaluate the treatment plans and analyse the dosimetric parameters for stereotactic body radiotherapy (SBRT) using the CyberKnife® system in patients with inoperable primary or metastatic lung cancer. Ten lung cancer patients treated with SBRT using the CyberKnife® were included in the study. Treatment plans were designed using the Precision 3.3.1.2 treatment planning system, with optimization performed using the Monte Carlo algorithm. Two tracking methods were employed: fiducial markers with Synchrony® in five cases and direct tumor visualization using Xsight® Lung in the remaining five cases. Patient-specific quality assurance (QA) was conducted using SRS MapCHECK® and StereoPHAN™ phantom, with gamma analysis performed using 2%/2 mm criteria and a 10% threshold.
Results demonstrated that the dose distribution for the planning target volume (PTV) and surrounding organs at risk (OARs) met clinical prescription requirements. The target conformity index (CI) and new conformity index (nCI) for PTV were 1.03 ± 0.103 and 1.09 ± 0.10, respectively. The dose gradient index (GI) was 3.412 ± 1.108, and the homogeneity index (HI) was 1.2 ± 0.13. Doses to OARs were minimal, indicating effective sparing of normal tissues. The study concluded that CyberKnife®-based SBRT plans for lung cancer achieve clinically acceptable dosimetric outcomes for both PTV and OARs, ensuring optimal treatment efficacy while minimizing risks to surrounding structures.
Field Engineering
Published In Volume 16, Issue 1, January-June 2025
Published On 2025-03-08
Cite This Stereotactic Body Radiotherapy for Lung Cancer: Insights from an Institutional CyberKnife Study - Priya Jacob - IJAIDR Volume 16, Issue 1, January-June 2025. DOI 10.5281/zenodo.15155231
DOI https://doi.org/10.5281/zenodo.15155231
Short DOI https://doi.org/g9cs44
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