ArticleJournal of radiation research2021
Update of the particle irradiation data ensemble (PIDE) for cell survival.
Article in Journal of radiation research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- Critical methodological concerns regarding the validation of NanOx model in helium SOBP irradiation.Physics and imaging in radiation oncology · 2026Article
- Comparison of experimental and radiobiological model-predicted survival of human laryngeal squamous cell carcinoma cells in a helium spread-out Bragg peak.Physics and imaging in radiation oncology · 2026Article
- Neural network modelling of proton RBE values at predominant survival fractions of in vitro data.Scientific reports · 2026Article
- A neural network embedding the linear-quadratic model for improved prediction of cellular response to ion beam exposure.Scientific reports · 2026Article
- One scale to rule them all: interpretable multi-scale Deep Learning for predicting cell survival after proton and carbon ion irradiation.Frontiers in artificial intelligence · 2026Article
- Equivalent relative biological effectiveness for cell survival and micronuclei formation: insights from a biophysical approach.Medical physics · 2025Article
- Differentiation Stage Predicts Radiosensitivity in Mesenchymal-Like Pancreatic Cancer.International journal of radiation oncology, biology, physics · 2025Article
- Quantifying Sensitivity of Carbon RBE Models to Reference Parameter Variations.Radiation research · 2025Article
- The proton therapy research beamline at the Christie NHS foundation trust.Biomedical physics & engineering express · 2025Article
- Evaluation of relative biological effectiveness ofEJNMMI physics · 2025Article
- An empirical model of carbon-ion relative biological effectiveness based on the linear correlation between radiosensitivity to photons and carbon ions.Physics in medicine and biology · 2024Article
- In vitro and in silico study of biological effects on cancer cells in the presence of metallic materials during radiotherapy.Journal of radiation research · 2024Article
- Particle Beam Radiobiology Status and Challenges: A PTCOG Radiobiology Subcommittee Report.International journal of particle therapy · 2024Review
- Prediction of Cell Survival Rate Based on Physical Characteristics of Heavy Ion Radiation.Toxics · 2024Article
- Ionization Detail Parameters for DNA Damage Evaluation in Charged Particle Radiotherapy: Simulation Study Based on Cell Survival Database.International journal of molecular sciences · 2024Article
- RadPhysBio: A Radiobiological Database for the Prediction of Cell Survival upon Exposure to Ionizing Radiation.International journal of molecular sciences · 2024Article
- High-LET charged particles: radiobiology and application for new approaches in radiotherapy.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2023Review
- Invalidity of, and alternative to, the linear quadratic model as a predictive model for postirradiation cell survival.Cancer science · 2023Article
- The Mayo Clinic Florida Microdosimetric Kinetic Model of Clonogenic Survival: Application to Various Repair-Competent Rodent and Human Cell Lines.International journal of molecular sciences · 2022Article
- Datasets of in vitro clonogenic assays showing low dose hyper-radiosensitivity and induced radioresistance.Scientific data · 2022Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The particle irradiation data ensemble (PIDE) is the largest database of cell survival data measured after exposure to ion beams and photon reference radiation. We report here on the updated version of the PIDE database and demonstrate how to investigate generic properties of radiation dose response using these sets of raw data. The database now contains information of over 1100 pairs of photon and ion dose response curves. It provides the originally published raw data of cell survival in addition to given linear quadratic (LQ) model parameters. If available, the raw data were used to derive LQ model parameters in the same way for all experiments. To demonstrate the extent of the database and the variability among experiments we focus on the dose response curves after ion and photon radiation separately in a first step. Furthermore, we discuss the capability and the limitations of the database for analyzing properties of low and high linear energy transfer (LET) radiation response based on multiple experiments. PIDE is freely available to the research community under www.gsi.de/bio-pide.
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