Prediction of lung cancer patients’ response to combined chemo-radiotherapy using a personalized hybrid model

• Autorzy: Sebastian Wołkowicz , Krzysztof Fujarewicz , Monika Kurpas , Krzysztof Łakomiec , Jarosław Śmieja , Rafal Suwiński , Andrzej Świerniak
• Języki publikacji: EN

Abstrakty

PL

The paper presents a novel approach to 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 estimated by a neural network based regressor, constituting the second component of the hybrid model. Estimation is based on data from mass spectrometry of patient blood plasma samples. Comparison of clinical and simulation-based survival curves is used to evaluate the quality of the model.

EN

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.

Słowa kluczowe

PL

ersonalised medicine; lung cancer; therapy response pre-diction

EN

therapy response prediction, lung cancer, survival analysis, combined therapy

• Wydawca: Polish Mathematical Society
• Czasopismo: Mathematica Applicanda
• Rocznik: 2019
• Tom: 47
• Numer: 2

Daty

wydano

2019

online

2019-08-27

Twórcy

autor

Sebastian Wołkowicz

autor

Krzysztof Fujarewicz

autor

Monika Kurpas

autor

Krzysztof Łakomiec

autor

Jarosław Śmieja

autor

Rafal Suwiński

autor

Andrzej Świerniak

Identyfikatory

DOI

10.14708/ma.v47i2.6486