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An orthotopic non-small cell lung cancer model for image-guided small animal radiotherapy platforms. | LitMetric

AI Article Synopsis

  • - A non-small cell lung cancer model was created in mice to study how micro-CBCT and bioluminescence imaging can provide useful information for radiation treatment planning by using different angles and filter settings.
  • - Exponentially growing tumors in the mice showed a strong correlation between the volume measured by CBCT and the intensity measured by BLI, with specific radiation plans recommended for varying tumor sizes.
  • - This study indicates that advanced preclinical radiation treatment planning can effectively mirror clinical settings for lung cancer, highlighting the importance of using both imaging techniques to optimize therapy based on tumor volume.

Article Abstract

Methods:: An orthotopic non-small cell lung cancer model in NMRI-nude mice was established to investigate the complementary information acquired from 80 kVp microcone-beam CT (micro-CBCT) and bioluminescence imaging (BLI) using different angles and filter settings. Different micro-CBCT-based radiation-delivery plans were evaluated based on their dose-volume histogram metrics of tumor and organs at risk to select the optimal treatment plan.

Results:: H1299 cell suspensions injected directly into the lung render exponentially growing single tumor nodules whose CBCT-based volume quantification strongly correlated with BLI-integrated intensity. Parallel-opposed single angle beam plans through a single lung are preferred for smaller tumors, whereas for larger tumors, plans that spread the radiation dose across healthy tissues are favored.

Conclusions:: Closely mimicking a clinical setting for lung cancer with highly advanced preclinical radiation treatment planning is possible in mice developing orthotopic lung tumors.

Advances In Knowledge:: BLI and CBCT imaging of orthotopic lung tumors provide complementary information in a temporal manner. The optimal radiotherapy plan is tumor volume-dependent.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6541189PMC
http://dx.doi.org/10.1259/bjr.20180476DOI Listing

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