A local effect model (LEM)-based framework capable of interpolating nanoparticle-enhanced photon-irradiated clonogenic cell survival fraction measurements as a function of nanoparticle concentration was developed and experimentally benchmarked for gold nanoparticle (AuNP)-doped bovine aortic endothelial cells (BAECs) under superficial kilovoltage X-ray irradiation. For three different superficial kilovoltage X-ray spectra, the BAEC survival fraction response was predicted for two different AuNP concentrations and compared to experimental data. The ability of the developed framework to predict the cell survival fraction trends is analysed and discussed. This developed framework is intended to fill in the existing gaps of individual cell line response as a function of NP concentration under photon irradiation and assist the scientific community in planning future pre-clinical trials of high Z nanoparticle-enhanced photon radiotherapy.
Keyphrases
- clinical trial
- iron oxide
- endothelial cells
- high resolution
- electronic health record
- living cells
- healthcare
- big data
- radiation induced
- early stage
- mental health
- radiation therapy
- magnetic resonance imaging
- machine learning
- aortic valve
- randomized controlled trial
- heart failure
- dual energy
- rectal cancer
- pulmonary hypertension
- mass spectrometry
- open label
- phase ii
- molecular dynamics
- deep learning
- highly efficient
- free survival
- single molecule