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Exploring feasibility criteria for stereotactic radiosurgical treatment of multiple brain metastases using five linac machines. | LitMetric

AI Article Synopsis

  • This study explored how to assess the safety of fractionated stereotactic radiosurgery (SRS) for patients with multiple brain metastases (BMs) by analyzing the impact on normal brain tissue across five different linac machines.
  • The researchers enrolled 32 patients and measured various tumor characteristics, such as the number of tumors, planning target volume (PTV), and total surface area (TSA), finding significant correlations with the amount of radiation received by normal brain tissue.
  • The study concluded that TSA is a strong predictor for evaluating the feasibility of SRS treatment for multiple BMs, demonstrating effective outcomes across all analyzed machines.

Article Abstract

Purpose: This study aimed to find descriptors that correlates with normal brain dose to determine the feasibility of performing fractionated stereotactic radiosurgery (SRS) for multiple brain metastases (BMs) using five linac machines.

Methods: Thirty-two patients with 1-30 BMs were enrolled. Treatment plans were created using TrueBeam, Novalis Tx, TrueBeam Edge, Halcyon, and Tomotherapy linacs. The sum of all planning target volumes (PTVs) was defined as PTV, and the brain region excluding PTV was defined as normal brain. The total surface area (TSA) of the PTV was calculated from the sum of the surface areas of the equivalent spheres for each PTV. Volumes receiving more than 5, 12, and 18 Gy (V, V, and V, respectively) were used for evaluation of normal brain dose. Correlations between normal brain dose and each tumor characteristic (number, PTV, and TSA) were investigated using the Spearman rank correlation coefficient.

Results: Correlations between each characteristic and normal brain dose were statistically significant (p < 0.05) across all machines. The correlation coefficients between each characteristic and V for the five machines were as follows: tumor number, 0.39-0.60; PTV, 0.79-0.93; TSA, 0.93-0.99. The fit equations between TSA and V exhibited high coefficients of determination, ranging from 0.92 to 0.99 across five machines.

Conclusion: This study devised fractionated SRS plans using for 1-30 BMs across five linac machines to find descriptors for determining SRS feasibility based on normal brain dose. TSA proved to be a promising descriptor of SRS feasibility for treating multiple BMs.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11492394PMC
http://dx.doi.org/10.1002/acm2.14413DOI Listing

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