Automated Author Profile

Radhia M´ Kacher

Current S-Index

1.0

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.5

Average Dataset Index per dataset

Total Datasets

2

Total datasets for this author

Average FAIR Score

84.6%

Average FAIR Score per dataset

Total Citations

0

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Web based scoring is useful for validation and harmonisation of scoring criteria within RENEB

Purpose: To establish a training data set of digital images and to investigate the scoring criteria and dose assessment of the dicentric assay within the European network of biodosimetry (RENEB), a web based scoring inter-comparison was undertaken by 17 RENEB partners. Materials and methods: Two sets of 50 high resolution images were uploaded onto the RENEB website. One set included metaphases after a moderate exposure (1.3 Gy) and the other set consisted of metaphases after a high dose exposure (3.5 Gy). The laboratories used their own calibration curves for estimating doses based on observed aberration frequencies. Results: The dose estimations and 95% confidence limits were compared to the actual doses and the corresponding z-values were satisfactory for the majority; only the dose estimations from two laboratories were too low or too high. The coefficients of variation were 17.6% for the moderate and 11.2% for the high dose. Metaphases with controversial results could be identified for training purposes. Conclusions: Overall, the web based scoring of the two galleries by the 17 laboratories produced very good results. Application of web based scoring for the dicentric assay may therefore be a relevant strategy for an operational biodosimetry assistance network.

Authors

  • Romm, Horst ;
  • Ainsbury, Elizabeth A. ;
  • Barquinero, Joan Francesc ;
  • Barrios, Leonardo ;
  • Beinke, Christina ;
  • Cucu, Alexandra ;
  • Domene, Mercedes Moreno ;
  • Filippi, Silvia ;
  • Gil, Octávia Monteiro ;
  • Gregoire, Eric ;
  • Hadjidekova, Valeria ;
  • Vasia Hatzi ;
  • Lindholm, Carita ;
  • Radhia M´ Kacher ;
  • Montoro, Alegria ;
  • Moquet, Jayne ;
  • Noditi, Mihaela ;
  • Oestreicher, Ursula ;
  • Palitti, Fabrizio ;
  • Pantelias, Gabriel ;
  • Prieto, María Jesús ;
  • Popescu, Irina ;
  • Rothkamm, Kai ;
  • Sebastià, Natividad ;
  • Sommer, Sylwester ;
  • Terzoudi, Georgia ;
  • Testa, Antonella ;
  • Wojcik, Andrzej
0 Citations0 Mentions85% FAIR0.5 Dataset Index
10.6084/m9.figshare.37498982016

Web based scoring is useful for validation and harmonisation of scoring criteria within RENEB

Purpose: To establish a training data set of digital images and to investigate the scoring criteria and dose assessment of the dicentric assay within the European network of biodosimetry (RENEB), a web based scoring inter-comparison was undertaken by 17 RENEB partners. Materials and methods: Two sets of 50 high resolution images were uploaded onto the RENEB website. One set included metaphases after a moderate exposure (1.3 Gy) and the other set consisted of metaphases after a high dose exposure (3.5 Gy). The laboratories used their own calibration curves for estimating doses based on observed aberration frequencies. Results: The dose estimations and 95% confidence limits were compared to the actual doses and the corresponding z-values were satisfactory for the majority; only the dose estimations from two laboratories were too low or too high. The coefficients of variation were 17.6% for the moderate and 11.2% for the high dose. Metaphases with controversial results could be identified for training purposes. Conclusions: Overall, the web based scoring of the two galleries by the 17 laboratories produced very good results. Application of web based scoring for the dicentric assay may therefore be a relevant strategy for an operational biodosimetry assistance network.

Authors

  • Romm, Horst ;
  • Ainsbury, Elizabeth A. ;
  • Barquinero, Joan Francesc ;
  • Barrios, Leonardo ;
  • Beinke, Christina ;
  • Cucu, Alexandra ;
  • Domene, Mercedes Moreno ;
  • Filippi, Silvia ;
  • Gil, Octávia Monteiro ;
  • Gregoire, Eric ;
  • Hadjidekova, Valeria ;
  • Vasia Hatzi ;
  • Lindholm, Carita ;
  • Radhia M´ Kacher ;
  • Montoro, Alegria ;
  • Moquet, Jayne ;
  • Noditi, Mihaela ;
  • Oestreicher, Ursula ;
  • Palitti, Fabrizio ;
  • Pantelias, Gabriel ;
  • Prieto, María Jesús ;
  • Popescu, Irina ;
  • Rothkamm, Kai ;
  • Sebastià, Natividad ;
  • Sommer, Sylwester ;
  • Terzoudi, Georgia ;
  • Testa, Antonella ;
  • Wojcik, Andrzej
0 Citations0 Mentions85% FAIR0.5 Dataset Index
10.6084/m9.figshare.3749898.v12016