Geodesic
Prediction of lung cancer patients’ response to combined chemo-radiotherapy using a personalized hybrid model
Mathematica Applicanda, Tome 47 (2019) no. 2, pp. 219-229.

Voir la notice de l'article provenant de la source Annales Societatis Mathematicae Polonae Series

The paper presents a novel approach to the prediction of the combined therapy outcome for non-small lung cancer patients. A hybrid model is proposed, consisting of two parts. The first one is a mathematical model of tumor response to therapy, whose parameters are expressed as linear function of data from massspectrometry of patient blood plasma samples. These linear functions constitute thesecond component of the hybrid model. A comparison of clinical and simulation-based survival curves is used to evaluate the quality of the model.
DOI : 10.14708/ma.v47i2.6486
Classification : 92C50, 62P10
Mots-clés : therapy response prediction, lung cancer, survival analysis, combined therapy 
@article{10_14708_ma_v47i2_6486,
     author = {Sebastian Wo{\l}kowicz and Krzysztof Fujarewicz and Monika Kurpas and Krzysztof {\L}akomiec and Jaros{\l}aw \'Smieja and Rafal Suwi\'nski and Andrzej \'Swierniak},
     title = {Prediction of lung cancer patients{\textquoteright} response to combined chemo-radiotherapy using a personalized hybrid model},
     journal = {Mathematica Applicanda},
     pages = { 219--229},
     publisher = {mathdoc},
     volume = {47},
     number = {2},
     year = {2019},
     doi = {10.14708/ma.v47i2.6486},
     language = {pl},
     url = {http://geodesic.mathdoc.fr/articles/10.14708/ma.v47i2.6486/}
}
TY  - JOUR
AU  - Sebastian Wołkowicz
AU  - Krzysztof Fujarewicz
AU  - Monika Kurpas
AU  - Krzysztof Łakomiec
AU  - Jarosław Śmieja
AU  - Rafal Suwiński
AU  - Andrzej Świerniak
TI  - Prediction of lung cancer patients’ response to combined chemo-radiotherapy using a personalized hybrid model
JO  - Mathematica Applicanda
PY  - 2019
SP  -  219
EP  - 229
VL  - 47
IS  - 2
PB  - mathdoc
UR  - http://geodesic.mathdoc.fr/articles/10.14708/ma.v47i2.6486/
DO  - 10.14708/ma.v47i2.6486
LA  - pl
ID  - 10_14708_ma_v47i2_6486
ER  - 
%0 Journal Article
%A Sebastian Wołkowicz
%A Krzysztof Fujarewicz
%A Monika Kurpas
%A Krzysztof Łakomiec
%A Jarosław Śmieja
%A Rafal Suwiński
%A Andrzej Świerniak
%T Prediction of lung cancer patients’ response to combined chemo-radiotherapy using a personalized hybrid model
%J Mathematica Applicanda
%D 2019
%P  219-229
%V 47
%N 2
%I mathdoc
%U http://geodesic.mathdoc.fr/articles/10.14708/ma.v47i2.6486/
%R 10.14708/ma.v47i2.6486
%G pl
%F 10_14708_ma_v47i2_6486
Sebastian Wołkowicz; Krzysztof Fujarewicz; Monika Kurpas; Krzysztof Łakomiec; Jarosław Śmieja; Rafal Suwiński; Andrzej Świerniak. Prediction of lung cancer patients’ response to combined chemo-radiotherapy using a personalized hybrid model. Mathematica Applicanda, Tome 47 (2019) no. 2, pp.  219-229. doi : 10.14708/ma.v47i2.6486. http://geodesic.mathdoc.fr/articles/10.14708/ma.v47i2.6486/

Cité par Sources :