BIANCA, a biophysical model of cell survival and chromosome damage by protons, C-ions and He-ions at energies and doses used in hadrontherapy
Open accessAbstract
An upgraded version of the BIANCA II biophysical model, which describes more realistically interphase chromosome organization and the link between chromosome aberrations and cell death, was applied to V79 and AG01522 cells exposed to protons, C-ions and He-ions over a wide LET interval (0.6–502 keV µ m −1 ), as well as proton-irradiated U87 cells. The model assumes that (i) ionizing radiation induces DNA ‘cluster lesions’ (CLs), where by definition each CL produces two independent chromosome fragments; (ii) fragment (distance-dependent) mis-rejoining, or un-rejoining, produces chromosome aberrations; (iii) some aberrations lead to cell death. The CL yield, which mainly depends on radiation quality but is also modulated by the target cell, is an adjustable parameter. The fragment un-rejoining probability, f , is the second, and last, parameter. The value of f , which is assumed to depend on the cell type but not on radiation quality, was taken from previous studies, and only the CL yield was adjusted in the present work. Good agreement between simulations and experimental data was obtained, suggesting that BIANCA II is suitable for calculating the biological effectiveness of hadrontherapy beams. For both V79 and AG01522 cells, the mean number of CLs per micrometer was found to increase with LET in a linear-quadratic fashion before the over-killing region, where a less rapid increase, with a tendency to saturation, was observed. Although the over-killing region deserves further investigation, the possibility of fitting the CL yields is an important feature for hadrontherapy, because it allows performing predictions also at LET values where experimental data are not available. Finally, an approach was proposed to predict the ion-response of the cell line(s) of interest from the ion-response of a reference cell line and the photon response of both. A pilot study on proton-irradiated AG01522 and U87 cells, taking V79 cells as a reference, showed encouraging results.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Allison, J., Amako, K., Apostolakis, J., Arce, P., Asai, M., Aso, T., Bagli, E., Bagulya, A., Banerjee, S., Barrand, G., et al. (2016) · Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment · doi:10.1016/j.nima.2016.06.125 · Cited by 4,194 · see citing works
Relative biological effectiveness (RBE) values for proton beam therapy
Paganetti, H., Niemierko, A., Ancukiewicz, M., Gerweck, L. E., Goitein, M., Loeffler, J. S., & Suit, H. D. (2002) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/s0360-3016(02)02754-2 · Cited by 1,369 · see citing works
Furusawa, Y., Fukutsu, K., Aoki, M., Itsukaichi, H., Eguchi‐Kasai, K., Ohara, H., Yatagai, F., Kanai, T., & Andō, K. (2000) · Radiation Research · doi:10.1667/0033-7587(2000)154[0485:ioaahc]2.0.co;2 · Cited by 480 · see citing works
Microdosimetric Measurements and Estimation of Human Cell Survival for Heavy-Ion Beams
Kase, Y., Kanai, T., Matsumoto, Y., Furusawa, Y., Okamoto, H., Asaba, T., Sakama, M., & Shinoda, H. (2006) · Radiation Research · doi:10.1667/rr0536.1 · Cited by 356 · see citing works
McNamara, A. L., Schuemann, J., & Paganetti, H. (2015) · Physics in Medicine and Biology · doi:10.1088/0031-9155/60/21/8399 · Cited by 346 · see citing works
Cornforth, M. N., & Bedford, J. S. (1987) · Radiation Research · doi:10.2307/3576926 · Cited by 332 · see citing works
Radiotherapy with beams of carbon ions
Amaldi, U., & Kraft, G. (2005) · Reports on Progress in Physics · doi:10.1088/0034-4885/68/8/r04 · Cited by 325 · see citing works
On the Nature of a Defect in Cells from Individuals with Ataxia-Telangiectasia
Cornforth, M. N., & Bedford, J. S. (1985) · Science · doi:10.1126/science.3975628 · Cited by 296 · see citing works
Schipler, A., & Iliakis, G. E. (2013) · Nucleic Acids Research · doi:10.1093/nar/gkt556 · Cited by 290 · see citing works
Microdosimetric structure of heavy ion tracks in tissue
Chatterjee, A., & SCHAEFER, H. J. (1976) · Radiation and Environmental Biophysics · doi:10.1007/bf01330766 · Cited by 277 · see citing works
The FLUKA Code: An Accurate Simulation Tool for Particle Therapy
Battistoni, G., Bauer, J., Böhlen, T. T., Cerutti, F. M., Chin, M., Augusto, R. D. S., FERRARI, A., Ortega, P. G., Kozłowska, W., Magro, G., et al. (2016) · Frontiers in Oncology · doi:10.3389/fonc.2016.00116 · Cited by 272 · see citing works
Wedenberg, M., Lind, B. K., & Hårdemark, B. (2012) · Acta Oncologica · doi:10.3109/0284186x.2012.705892 · Cited by 270 · see citing works
Range uncertainty in proton therapy due to variable biological effectiveness
Cárabe, A., Moteabbed, M., Depauw, N., Schuemann, J., & Paganetti, H. (2012) · Physics in Medicine and Biology · doi:10.1088/0031-9155/57/5/1159 · Cited by 249 · see citing works
Chaudhary, P., Marshall, T. I., Perozziello, F. M., Manti, L., Currell, F. J., Hanton, F., McMahon, S. J., Kavanagh, J. N., Cirrone, G. A. P., ROMANO, F., et al. (2014) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/j.ijrobp.2014.05.010 · Cited by 229 · see citing works
A model of ion track structure based on classical collision dynamics (radiobiology application)
Kiefer, J., & Straaten, H. (1986) · Physics in Medicine and Biology · doi:10.1088/0031-9155/31/11/002 · Cited by 177 · see citing works
Belli, M. (1998) · International Journal of Radiation Biology · doi:10.1080/095530098141375 · Cited by 173 · see citing works
Scholz, M., & Kraft, G. (1994) · Radiation Protection Dosimetry · doi:10.1093/oxfordjournals.rpd.a082156 · Cited by 168 · see citing works
Inactivation of V79 cells by low-energy protons, deuterons and helium-3 ions
Folkard, M. (1996) · International Journal of Radiation Biology · doi:10.1080/095530096145472 · Cited by 161 · see citing works
Chromosome aberrations and radiation-induced cell death
Carrano, A. V. (1973) · Mutation research. Fundamental and molecular mechanisms of mutagenesis · doi:10.1016/0027-5107(73)90006-7 · Cited by 149 · see citing works
Nuclear architecture and the induction of chromosomal aberrations
Cremer, C. G., Münkel, C., Granzow, M., Jauch, A. T., Dietzel, S., Eils, R., Guan, X., Meltzer, P. S., Trent, J. M., Langowski, J., et al. (1996) · Mutation Research/Reviews in Genetic Toxicology · doi:10.1016/s0165-1110(96)90031-7 · Cited by 127 · see citing works
Tommasino, F., Scifoni, E., & Durante, M. (2015) · International Journal of Particle Therapy · doi:10.14338/ijpt-15-00027.1 · Cited by 125 · see citing works
Biological Considerations When Comparing Proton Therapy With Photon Therapy
Paganetti, H., & van Luijk, P. (2013) · Seminars in Radiation Oncology · doi:10.1016/j.semradonc.2012.11.002 · Cited by 114 · see citing works
The influence of RBE variations in a clinical proton treatment plan for a hypopharynx cancer
Tilly, N. T., Johansson, J., Isacsson, U., Medin, J., Blomquist, E., Grusell, E., & Glimelius, B. L. G. (2005) · Physics in Medicine and Biology · doi:10.1088/0031-9155/50/12/003 · Cited by 114 · see citing works
LET-dependent survival of irradiated normal human fibroblasts and their descendents
Hamada, N., Funayama, T., Wada, S., Sakashita, T., Kakizaki, T., Ni, M., & Kobayashi, Y. (2006) · Radiation Research · doi:10.1667/rr3579.1 · Cited by 75 · see citing works
Marshall, T. I., Chaudhary, P., Michaelidesova, A. J., Vachelová, J., Davídková, M., Vondráček, V., Schettino, G., & Prise, K. M. (2016) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/j.ijrobp.2016.02.029 · Cited by 72 · see citing works
Biologically optimized helium ion plans: calculation approach and its in vitro validation
Mairani, A., Dokic, I., Magro, G., Tessonnier, T., Kamp, F., Carlson, D. J., Ciocca, M., Cerutti, F. M., SALA, P. R., FERRARI, A., et al. (2016) · Physics in Medicine and Biology · doi:10.1088/0031-9155/61/11/4283 · Cited by 66 · see citing works
Neti, P. V. S. V., de Toledo, S. M., Venkatachalam, P., Azzam, E. I., & Howell, R. W. (2004) · Radiation Research · doi:10.1667/rr3181 · Cited by 55 · see citing works
CATANA protontherapy facility: The state of art of clinical and dosimetric experience
Cuttone, G., Cirrone, G. A. P., Franco, G., Monaca, V. L., Nigro, S. L., Ott, J., Pittera, S., Privitera, G., Raffaele, L., REIBALDI, A., et al. (2011) · The European Physical Journal Plus · doi:10.1140/epjp/i2011-11065-1 · Cited by 53 · see citing works
From DNA Radiation Damage to Cell Death: Theoretical Approaches
Ballarini, F. (2010) · Journal of Nucleic Acids · doi:10.4061/2010/350608 · Cited by 53 · see citing works
Self-citationGrün, R., Friedrich, T., Krämer, M., & Scholz, M. (2017) · Physics in Medicine and Biology · doi:10.1088/1361-6560/62/3/890 · Cited by 53 · see citing works
Chromosome aberrations and cell death by ionizing radiation: evolution of a biophysical model
Ballarini, F., & Carante, M. P. (2016) · Radiation Physics and Chemistry · doi:10.1016/j.radphyschem.2016.06.009 · Cited by 45 · see citing works
Self-citationBallarini, F., Altieri, S., Bortolussi, S., Carante, M. P., Giroletti, E., & Protti, N. (2014) · Radiation and Environmental Biophysics · doi:10.1007/s00411-014-0537-6 · Cited by 42 · see citing works
Self-citationModeling radiation-induced cell death: role of different levels of DNA damage clustering
Carante, M. P., Altieri, S., Bortolussi, S., Postuma, I., Protti, N., & Ballarini, F. (2015) · Radiation and Environmental Biophysics · doi:10.1007/s00411-015-0601-x · Cited by 41 · see citing works
Self-citationOttolenghi, A., Ballarini, F., & Merzagora, M. (1999) · Radiation and Environmental Biophysics · doi:10.1007/s004110050132 · Cited by 36 · see citing works
Self-citationCampa, A., Alloni, D., Antonelli, F., Ballarini, F., Belli, M., Dini, V., Esposito, G., Facoetti, A., Friedland, W., Furusawa, Y., et al. (2009) · Radiation Research · doi:10.1667/rr1442.1 · Cited by 35 · see citing works
Self-citationOttolenghi, A., Ballarini, F., & Biaggi, M. (2001) · Advances in Space Research · doi:10.1016/s0273-1177(01)00004-7 · Cited by 34 · see citing works
Self-citationA model of chromosome aberration induction: applications to space research
Ballarini, F., & Ottolenghi, A. (2005) · Radiation Research · doi:10.1667/rr3365.1 · Cited by 33 · see citing works
Self-citationK. GEORGE, T. C. Y. (1999) · International Journal of Radiation Biology · doi:10.1080/095530099140230 · Cited by 33 · see citing works
A model of chromosome aberration induction and chronic myeloid leukaemia incidence at low doses
Ballarini, F., & Ottolenghi, A. (2004) · Radiation and Environmental Biophysics · doi:10.1007/s00411-004-0246-7 · Cited by 32 · see citing works
Self-citationOverview of the PHITS code and its application to medical physics
Sato, T., Niita, K., Matsuda, N., Hashimoto, S., Iwamoto, Y., Noda, S., Iwase, H., Nakashima, H., Fukahori, T., Chiba, S., et al. (2014) · Progress in Nuclear Science and Technology · doi:10.15669/pnst.4.879 · Cited by 32 · see citing works
Antiproton induced DNA damage: proton like in flight, carbon-ion like near rest
Kavanagh, J. N., Currell, F. J., Timson, D. J., Savage, K. I., Richard, D. J., McMahon, S. J., Hartley, O., Cirrone, G. A. P., Romano, F., Prise, K. M., et al. (2013) · Scientific Reports · doi:10.1038/srep01770 · Cited by 26 · cited 2× · see citing works
“The lines are simulation outcomes, whereas the points are experimental data taken from Hamada et al (2006) (76.3 keV µm−1 and 108.0 keV µm−1) and Kavanagh et al (2013) (48.8 keV µm−1 and 147.6 keV µm−1).”
MethodInfluentialCalculating Variations in Biological Effectiveness for a 62 MeV Proton Beam
Carante, M. P., & Ballarini, F. (2016) · Frontiers in Oncology · doi:10.3389/fonc.2016.00076 · Cited by 26 · see citing works
Self-citationProximity effects in chromosome aberration induction by low-LET ionizing radiation
Tello Cajiao, J. J., Carante, M. P., Bernal Rodriguez, M. A., & Ballarini, F. (2017) · DNA Repair · doi:10.1016/j.dnarep.2017.08.007 · Cited by 25 · see citing works
Self-citationMichaelidesova, A. J., Vachelová, J., Puchalska, M., Brabcová, K. P., Vondráček, V., Sihver, L., & Davídková, M. (2017) · Australasian Physical & Engineering Sciences in Medicine · doi:10.1007/s13246-017-0540-8 · Cited by 21 · see citing works
Tello Cajiao, J. J., Carante, M. P., Bernal Rodriguez, M. A., & Ballarini, F. (2018) · DNA Repair · doi:10.1016/j.dnarep.2018.02.006 · Cited by 19 · see citing works
Self-citationWu, H., Furusawa, Y., George, K. A., Kawata, T., & Cucinotta, F. A. (2002) · Journal of Radiation Research · doi:10.1269/jrr.43.s181 · Cited by 16 · see citing works
Modelling cell death for cancer hadrontherapy
Carante, M. P., & Ballarini, F. (2017) · AIMS Biophysics · doi:10.3934/biophy.2017.3.465 · Cited by 16 · see citing works
Self-citationBallarini, F., Altieri, S., Bortolussi, S., Giroletti, E., & Protti, N. (2013) · Radiation Research · doi:10.1667/rr3285.1 · Cited by 14 · see citing works
Self-citationTesta, A., Ballarini, F., Giesen, U., Gil, O. M., Carante, M. P., Cajiao, J. J. T., Langner, F., Rabus, H., Palma, V., Pinto, M., et al. (2018) · Radiation Research · doi:10.1667/rr15005.1 · Cited by 12 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Mavragani, I. V., Nikitaki, Z., Kalospyros, S. A., & Georgakilas, A. G. (2019) · Cancers · doi:10.3390/cancers11111789 · Cited by 200 · see citing works
“Thus, some codes are extended to the level of providing chromosome aberration dose–response curves [3].”
BackgroundMethodChatzipapas, K., Papadimitroulas, P., Emfietzoglou, D., Kalospyros, S. A., Hada, M., Georgakilas, A. G., & Kagadis, G. C. (2020) · Cancers · doi:10.3390/cancers12040799 · Cited by 91 · see citing works
“Furthermore, the mechanistic model BIANCA provides, in addition to cell survival curves, chromosome aberration dose-response curves, describing the interphase chromosome organization as well as the connection between chromosome aberrations with cell death [171].”
A New Standard DNA Damage (SDD) Data Format
Schuemann, J., McNamara, A. L., Warmenhoven, J.-W., Henthorn, N. T., Kirkby, K. J., Merchant, M. J., Ingram, S., Paganetti, H., Held, K. D., Ramos‐Méndez, J., et al. (2018) · Radiation Research · doi:10.1667/rr15209.1 · Cited by 79 · see citing works
Self-citationInternal microdosimetry of alpha-emitting radionuclides
HOFMANN, W., Li, W. B., Friedland, W., Miller, B. W., Madas, B. G., Bardiès, M., & Balásházy, I. (2019) · Radiation and Environmental Biophysics · doi:10.1007/s00411-019-00826-w · Cited by 57 · see citing works
“The formation of chromosomal aberrations is also addressed by the BIANCA approach, which considers the cell killing effect as well (Ballarini and Carante 2016; Carante et al. 2018).”
MethodThe FLUKA code: Overview and new developments
Ballarini, F., Batkov, K. E., Battistoni, G., Bisogni, M. G., Böhlen, T. T., Campanella, M., Carante, M. P., Chen, D., Gregorio, A. D., Degtiarenko, P., et al. (2024) · EPJ Nuclear Sciences & Technologies · doi:10.1051/epjn/2024015 · Cited by 56 · see citing works
Self-citationHill, M. A. (2019) · Clinical Oncology · doi:10.1016/j.clon.2019.08.006 · Cited by 56 · see citing works
Challenges in Monte Carlo Simulations as Clinical and Research Tool in Particle Therapy: A Review
Muraro, S., Battistoni, G., & Kraan, A. C. (2020) · Frontiers in Physics · doi:10.3389/fphy.2020.567800 · Cited by 55 · see citing works
“188, the coupling of BIANCA with the FLUKA MC is reported.”
MethodParisi, A., Sato, T., Matsuya, Y., Kase, Y., Magrin, G., Verona, C., Tran, L. T., Rosenfeld, A. B., Bianchi, A., Olko, P., et al. (2020) · Physics in Medicine and Biology · doi:10.1088/1361-6560/abbf96 · Cited by 43 · see citing works
Modelling of Cellular Survival Following Radiation-Induced DNA Double-Strand Breaks
Wang, W., Li, C., Qiu, R., Chen, Y., Wu, Z., Zhang, H., & Li, J. (2018) · Scientific Reports · doi:10.1038/s41598-018-34159-3 · Cited by 37 · see citing works
Bertolet, A., Ramos‐Méndez, J., McNamara, A. L., Yoo, D. H., Ingram, S., Henthorn, N. T., Warmenhoven, J.-W., Faddegon, B., Merchant, M. J., McMahon, S. J., et al. (2022) · Radiation Research · doi:10.1667/rade-21-00179.1 · Cited by 34 · see citing works
“For example, Cornforth and Bedford observed correspondence between fibroblast cell death and asymmetrical chromosome aberrations (2), and Ballarini and Carante implemented this idea in the BIANCA biophysical model to predict the biological effectiveness of different hadrontherapy beams (3, 4).”
BackgroundA Mission to Mars: Prediction of GCR Doses and Comparison with Astronaut Dose Limits
Ramos, R. L., Carante, M. P., FERRARI, A., SALA, P. R., Vercesi, V. I., & Ballarini, F. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24032328 · Cited by 32 · see citing works
“Since, in space research, a major uncertainty is related to the RBE of space radiation [21], in this work, we applied the BIANCA biophysical model [22,23] to calculate the RBE of galactic cosmic rays for the induction of both chromosome aberrations, which are indicators of cancer risk [24–29], and cell death, which is…”
Self-citationPfuhl, T., Friedrich, T., & Scholz, M. (2021) · Medical Physics · doi:10.1002/mp.15343 · Cited by 29 · see citing works
Carante, M. P., Aricò, G., Ferrari, A., Kozlowska, W., Mairani, A., & Ballarini, F. (2019) · Physics in Medicine & Biology · doi:10.1088/1361-6560/ab490f · Cited by 23 · see citing works
Self-citationParisi, A., Furutani, K. M., & Beltran, C. J. (2022) · Physics in Medicine and Biology · doi:10.1088/1361-6560/ac5fdf · Cited by 23 · see citing works
“…the giant loop binary lesionmodel (GLOBE, Friedrich et al 2012), the biophysical analysis of cell death and chromosome aberrationsmodel (BIANCA,Carante et al 2018), nanodosimetric models (Villegas et al 2016, Conte et al 2018, Schneider et al 2020), themulti scale approach (MSA, Surdutovich…”
BackgroundIn vivo validation of the BIANCA biophysical model: benchmarking against rat spinal cord RBE data
Carante, M. P., Aricò, G., Ferrari, A., Karger, C. P., Kozlowska, W., Mairani, A., Sala, P., & Ballarini, F. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21113973 · Cited by 21 · see citing works
“, [16,27,35], the main input information for running a simulation with BIANCA consist of the radiation type (photons, light ions or heavy ions), the yield of CLs and the f value, the shape of the cell nucleus (that can be either spherical or cylindrical) and its size, as well as the treatment parameters LET and absorb…”
BackgroundMethodSelf-citationTechnological Developments and Future Perspectives in Particle Therapy: A Topical Review
Kraan, A. C., & Guerra, A. D. (2024) · IEEE Transactions on Radiation and Plasma Medical Sciences · doi:10.1109/trpms.2024.3372189 · Cited by 19 · see citing works
“Another recent development in the coupling of radio-biological models with general purpose MC regards the BIophysical ANalysis of Cell death and chromosome Aberrations (BIANCA) model [119].”
MethodForster, J. C., Douglass, M. J. J., Phillips, W. M., & Bezak, E. (2019) · Scientific Reports · doi:10.1038/s41598-019-54941-1 · Cited by 21 · see citing works
Buglewicz, D. J., Banks, A. B., Hirakawa, H., Fujimori, A., & Kato, T. A. (2019) · Scientific Reports · doi:10.1038/s41598-019-42600-4 · Cited by 19 · see citing works
Ramos, R. L., Embriaco, A., Carante, M. P., Ferrari, A., Sala, P., Vercesi, V., & Ballarini, F. (2022) · Journal of Radiological Protection · doi:10.1088/1361-6498/ac6991 · Cited by 17 · see citing works
“Since analogous predictions have been obtained in a previous work for AG01522 human fibroblasts exposed to proton beams [11], in the present work the comparison with AG01522 data was extended to different C-ion beams (with LET of 48.”
Self-citationCarante, M. P., Embriaco, A., Aricò, G., Ferrari, A., Mairani, A., Mein, S., Ramos, R., Sala, P., & Ballarini, F. (2021) · Physics in Medicine & Biology · doi:10.1088/1361-6560/ac25d4 · Cited by 15 · see citing works
Self-citationCalculation of direct DNA damages by a new approach for carbon ions and protons using Geant4-DNA
Ganjeh, Z. A., Eslami-Kalantari, M., Loushab, M. E., & Mowlavi, A. A. (2020) · Radiation Physics and Chemistry · doi:10.1016/j.radphyschem.2020.109249 · Cited by 14 · see citing works
Embriaco, A., Ramos, R., Carante, M., Ferrari, A., Sala, P., Vercesi, V., & Ballarini, F. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms221910877 · Cited by 13 · see citing works
Self-citationFirst application of the BIANCA biophysical model to carbon-ion patient cases
Kozłowska, W., Carante, M. P., Aricò, G., Embriaco, A., FERRARI, A., Magro, G., Mairani, A., Ramos, R. L., SALA, P. R., Georg, D., et al. (2022) · Physics in Medicine and Biology · doi:10.1088/1361-6560/ac702b · Cited by 12 · see citing works
Self-citationKalospyros, S. A., Nikitaki, Z., Kyriakou, I., Kokkoris, M., Emfietzoglou, D., & Georgakilas, A. G. (2021) · Molecules · doi:10.3390/molecules26040840 · Cited by 12 · see citing works
“The mechanistic model BIANCA (BIophysical ANalysis of Cell death and chromosome Aberrations) in addition to cell survival curves predicts chromosome aberrations, in the form of chromosome aberration dose-response curves which are considered as an important indicator of tissue damage [37,38].”
BackgroundParisi, A., Furutani, K. M., & Beltran, C. J. (2025) · Medical Physics · doi:10.1002/mp.17755 · Cited by 10 · see citing works
Ramos, R. L., Carante, M. P., Bernardini, E., FERRARI, A., SALA, P. R., Vercesi, V. I., & Ballarini, F. (2024) · Life Sciences in Space Research · doi:10.1016/j.lssr.2024.03.006 · Cited by 10 · see citing works
“First, such work has been performed for ions with Z between 1 (protons) and 8 (Oxygen) (Carante et al., 2018; Carante et al., 2019), thus allowing for applications in the field of cancer hadrontherapy (Carante et al., 2019; Carante et al., 2020; Carante et al., 2021; Embriaco et al., 2021;…”
Self-citationFormalism of the NanOx biophysical model for radiotherapy applications
Alcocer‐Ávila, M., Monini, C., Cunha, M., Testa, É., & Beuve, M. (2023) · Frontiers in Physics · doi:10.3389/fphy.2023.1011062 · Cited by 9 · see citing works
“BIANCA (BIophysical ANalysis of Cell death and chromosome Aberrations) [16,55,56] is a biophysical model allowing to compute cell survival probabilities as well as chromosome aberration doseresponse curves for different types of irradiation.”
BackgroundParisi, A., Struelens, L., & Vanhavere, F. (2021) · Physics in Medicine and Biology · doi:10.1088/1361-6560/ac344e · Cited by 9 · see citing works
“…and Paganetti 2016), different approaches (i.e. Kellerer andRossi 1978,Hawkins 1994, Scholz andKraft 1994, Kanai et al 1997, Kase et al 2006, Carlson et al 2008, Sato and Furusawa 2012, Carante et al 2018)were developed in parallel tomore-directly assess the biological endpoints of interest.”
BackgroundNgcezu, S. A., & Rabus, H. (2021) · Radiation and Environmental Biophysics · doi:10.1007/s00411-021-00936-4 · Cited by 8 · see citing works
Mokari, M., Moeini, H., & Farazmand, S. (2023) · International Journal of Radiation Biology · doi:10.1080/09553002.2023.2173824 · Cited by 7 · see citing works
Fattori, S., Petringa, G., Agosteo, S., Bortot, D., Conte, V., Cuttone, G., Fini, A. D., Farokhi, F., Mazzucconi, D., Pandola, L., et al. (2022) · Physics in Medicine and Biology · doi:10.1088/1361-6560/ac776f · Cited by 7 · see citing works
Fornalski, K. W., Adamowski, Ł., Bugała, E., Jarmakiewicz, R., Kirejczyk, M., Kopyciński, J., Krasowska, J., Kukulski, P., Piotrowski, Ł., Ponikowska, J., et al. (2022) · Dose-Response · doi:10.1177/15593258221138506 · Cited by 7 · see citing works
Ramos, R. L., Bernardini, E., Carante, M. P., FERRARI, A., SALA, P. R., Vercesi, V. I., & Ballarini, F. (2024) · Journal of Radiological Protection · doi:10.1088/1361-6498/ad7ff6 · Cited by 5 · see citing works
“In a previous work [14] we have proposed a different approach, based on cell-survival RBE values calculated by means of the BIANCA biophysical model developed by our research group e.g. [15, 16].”
Self-citationPREDICTING BIOLOGICAL EFFECTS ALONG HADRONTHERAPY DOSE PROFILES BY THE BIANCA BIOPHYSICAL MODEL
Carante, M. P., Cajiao, J. J. T., & Ballarini, F. (2018) · Radiation Protection Dosimetry · doi:10.1093/rpd/ncy263 · Cited by 5 · see citing works
Self-citationRamos, R. L., Embriaco, A., Carante, M. P., FERRARI, A., SALA, P. R., Vercesi, V. I., & Ballarini, A. F. (2022) · EPJ Web of Conferences · doi:10.1051/epjconf/202226103001 · Cited by 5 · see citing works
“In previous works [15,18,19], an approach has been developed to predict cell survival following ion irradiation of an arbitrary cell line for which the photon doseresponse is known, starting from a reference cell line; V79 cells have been chosen as a reference.”
BackgroundMethodSelf-citationCasali, A., Ramos, R. L., Ballarini, F., & Carante, M. P. (2024) · Physics in Medicine and Biology · doi:10.1088/1361-6560/ad98e1 · Cited by 3 · see citing works
“More details can be found in previous works (Ballarini and Carante 2016, Carante et al 2018, Ramos et al 2022).”
Self-citationPoignant, F., Pariset, E., Plante, I., Ponomarev, A. L., Evain, T., Viger, L., Slaba, T. C., Blattnig, S. R., & Costes, S. V. (2024) · Integrative Biology · doi:10.1093/intbio/zyae015 · Cited by 3 · see citing works
Formation of spread-out Bragg peak for helium-ion beam using microdosimetric kinetic model
Akagi, T., Maeda, T., Suga, M., & Yamashita, T. (2023) · Physica Medica · doi:10.1016/j.ejmp.2023.102587 · Cited by 3 · see citing works
Canay, E. I., Carante, M. P., Casali, A., Bernardini, E., Dondi, D., Vadivel, D., Cansolino, L., Delgrosso, E., Ferrari, C., Pullia, M. G., et al. (2025) · Life Sciences in Space Research · doi:10.1016/j.lssr.2025.09.002 · Cited by 2 · see citing works
Self-citationPoignant, F., Huff, J. L., Kunkel, S. R., Plante, I., & Slaba, T. C. (2025) · Life Sciences in Space Research · doi:10.1016/j.lssr.2025.04.009 · Cited by 2 · see citing works
Carante, M. P., Madonnini, A., Casali, A., Canay, E. I., Ramos, R. L., & Ballarini, F. (2026) · Biomedicines · doi:10.3390/biomedicines14030542 · Cited by 1 · see citing works
“The CL yield (mean number of CLs per Gy and per cell) and the chromosome fragment un-rejoining probability are the only two adjustable parameters; a detailed discussion on the model assumptions, as well as a description of the main simulation steps, can be found elsewhere [25].”
Self-citationCasali, A., Ramos, R. L., Ballarini, F., & Carante, M. P. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4815608
Self-citationComparison of in vitro cell survival predictions using Monte Carlo methods for proton irradiation
Buvinic, L., Galvez, S., Valenzuela, M. P., Sebastian, S., & Russomando, A. (2024) · Physica Medica · doi:10.1016/j.ejmp.2024.104867
Toumia, Y., Pullia, M. G., Charalampopoulou, A., Vitaliti, A., Domenici, F., Ferrarini, M., Facoetti, A., & Paradossi, G. (2025) · ACS Omega · doi:10.1021/acsomega.5c01785
Calculation of Doses and Biological Damage for Astronauts Exposed to Space Radiation
Ramos, R. L., Carante, M. P., Bernardini, E., Canay, E. I., Casali, A., Vercesi, V. I., & Ballarini, F. (2025) · IEEE International Workshop on Metrology for AeroSpace (MetroAeroSpace) · doi:10.1109/metroaerospace64938.2025.11114547
Self-citationTang, N. (2019) · doi:10.70675/5c028ef5z5b10z4510z9c39z4ef8f75b4449 · Cited by 1 · see citing works
Bernardini, E., Carante, M. P., Casali, A., Canay, E. I., Vercesi, V. I., Ballarini, F., & Ramos, R. L. (2026) · Health and Technology · doi:10.1007/s12553-026-01072-z
Self-citationThe photon isoeffective dose model for proton therapy
Valeriano, M. L., Ramos, R. L., Casali, A., Carante, M. P., Ballarini, F., Bortolussi, S., Cruz, G. A. S., & González, S. J. (2026) · Physics in Medicine and Biology · doi:10.1088/1361-6560/ae788d
Self-citationCasali, A., Madonnini, A., Ramos, R. L., Canay, E. I., Ballarini, F., & Carante, M. P. (2026) · The European Physical Journal Special Topics · doi:10.1140/epjs/s11734-026-02396-7
Self-citationXiao, N., Cao, T., Liu, T., & Dai, Z. (2026) · Zeitschrift für Medizinische Physik · doi:10.1016/j.zemedi.2026.07.001
Liu, G. (2026) · The FASEB Journal · doi:10.1096/fj.202505071rrr
“Instead, more research is needed to further understand the effects of low-dose radiation” [19].”
Parisi, A., Furutani, K. M., Hartzell, S., 谭骏, Lu, B., Park, J. C., Yaddanapudi, S., Liang, X., & Beltran, C. J. (2026) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/j.ijrobp.2026.08.046
- Authors
- Carante, M. P., Aimè, C., Cajiao, J. J. T., & Ballarini, F.
- Affiliations
- University of Pavia (IT)
- Universidade Estadual de Campinas (UNICAMP) (BR)
- Corresponding author
- Ballarini, Francesca
- Venue
- Physics in Medicine & Biology
- Publisher
- IOP Publishing
- Published
- 2018-03-26
- Volume
- 63
- Issue
- 7
- Pages
- 075007
- ISSN
- 0031-9155 (ISSN-L)
- 1361-6560
- OpenAlex
- W2790484694
- Cited by
- 52
- References
- 49
- Citations by year
- 2026: 7 · 2025: 5 · 2024: 8 · 2023: 4 · 2022: 7 · 2021: 6 · 2020: 5 · 2019: 7 · 2018: 3
- FWCI
- 3.95
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Physics in Medicine and Biology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Nuclear Physics
- Topics
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Radiation Therapy and Dosimetry
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Effects of Radiation Exposure
- Physical Sciences › Physics and Astronomy › Radiation › Advanced Radiotherapy Techniques
- Keywords
- particle therapy, carbon ion radiotherapy, helium ion therapy, proton therapy, chromosomal abnormalities, cell survival, linear-quadratic model, LET dependence, biological effectiveness, V79 cells, U87 cells
- MeSH terms
- Animals, Cell Survival, Cells, Cultured, Chromosome Aberrations, Cricetulus, Dose-Response Relationship, Radiation, Fibroblasts, Glioma, Cricetinae, Helium, Humans, Models, Biological, Pilot Projects, Radiation, Ionizing, Proton Therapy, Heavy Ion Radiotherapy
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review