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Daily Diagnostic Quality Computed Tomography-on-Rails (CTOR) Image Guidance for Abdominal Stereotactic Body Radiation Therapy (SBRT). | LitMetric

AI Article Synopsis

  • SBRT for abdominal tumors faces challenges like respiratory motion and low tumor contrast, making accurate treatment difficult.
  • Breath-hold treatments using CT-on-rails (CTOR) improve visualization of both tumors and surrounding tissues, helping to better align radiation targets and protect normal tissues.
  • Case studies show that using diagnostic-quality CT guidance allows for precise adjustments in treatment alignment, effectively reducing radiation doses to sensitive organs like the stomach.

Article Abstract

Background/objectives: Stereotactic body radiation therapy (SBRT) for abdominal targets faces a variety of challenges, including motion caused by the respiration and digestion and a relatively poor level of contrast between the tumor and the surrounding tissues. Breath-hold treatments with computed tomography-on-rails (CTOR) image guidance is one way of addressing these challenges, allowing for both the tumor and normal tissues to be well-visualized. Using isodose lines (IDLs) from CT simulations as a guide, the anatomical information can be used to shift the alignment or trigger a replan, such that normal tissues receive acceptable doses of radiation.

Methods: This study aims to describe the workflow involved when using CTOR for pancreas and liver SBRT and demonstrates its effectiveness through several case studies.

Results: In these case studies, using the anatomical information gained through diagnostic-quality CT guidance to make slight adjustments to the alignment, resulted in reductions in the maximum dose to the stomach.

Conclusions: High-quality imaging, such as CTOR, and the use of IDLs to estimate the doses to OARs, enable the safe delivery of SBRT, without the added complexity and resource commitment required by daily online adaptive planning.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11591933PMC
http://dx.doi.org/10.3390/cancers16223770DOI Listing

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