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

Sebastian Wołkowicz; Krzysztof Fujarewicz; Monika Kurpas; Krzysztof Łakomiec; Jarosław Śmieja; Rafał Suwiński; Andrzej Świerniak

doi:10.14708/ma.v47i2.6486

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

Przetłumaczony tytuł wkładu: Predykcja odpowiedzi na kombinowaną terapiędla niedrobnokomórkowego raka płuc przy użyciu modelu hybrydowego

Katedra Inżynierii i Biologii Systemów (RAU/RAU1)

Silesian University of Technology

Wyniki badań: Wkład do czasopisma › Artykuł › recenzja

1 Cytowanie z bazy Scopus

Abstrakt

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 expressed as a linear functions of data from mass spectrometry of patient blood plasma samples. These linear functions constitute the second component of the hybrid model. A comparison of clinical and simulation-based survival curves is used to evaluate the quality of the model.

Przetłumaczony tytuł wkładu	Predykcja odpowiedzi na kombinowaną terapiędla niedrobnokomórkowego raka płuc przy użyciu modelu hybrydowego
Język oryginału	angielski
Strony (od–do)	219-228
Liczba stron	10
Czasopismo	Mathematica Applicanda
Tom	47
Numer wydania	2
Identyfikatory DOI	https://doi.org/10.14708/ma.v47i2.6486
Status publikacji	Opublikowano - 2019

Cele SDG ONZ

Ten wynik przyczynia się do realizacji następujących celów zrównoważonego rozwoju

Cel 3 Dobre zdrowie i dobre samopoczucie

Obszary tematyczne ASJC Scopus

Matematyka ogólna
Nauki o podejmowaniu decyzji (różne)

Uzyskaj dostęp do dokumentu

10.14708/ma.v47i2.6486

Inne pliki i linki

Link do publikacji w Scopus

Cytowanie

@article{f20c8871ec164d59b628a3187880092e,

title = "Prediction of lung cancer patients' response to combined chemo-radiotherapy using a personalized hybrid model",

abstract = "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 expressed as a linear functions of data from mass spectrometry of patient blood plasma samples. These linear functions constitute the second component of the hybrid model. A comparison of clinical and simulation-based survival curves is used to evaluate the quality of the model.",

keywords = "Combined therapy, Lung cancer, Survival analysis, Therapy response prediction",

author = "Sebastian Wo{\l}kowicz and Krzysztof Fujarewicz and Monika Kurpas and Krzysztof {\L}akomiec and Jaros{\l}aw {\'S}mieja and Rafa{\l} Suwi{\'n}ski and Andrzej {\'S}wierniak",

year = "2019",

doi = "10.14708/ma.v47i2.6486",

language = "English",

volume = "47",

pages = "219--228",

journal = "Mathematica Applicanda",

issn = "1730-2668",

publisher = "Polish Mathematical Society",

number = "2",

}

TY - JOUR

T1 - Prediction of lung cancer patients' response to combined chemo-radiotherapy using a personalized hybrid model

AU - Wołkowicz, Sebastian

AU - Fujarewicz, Krzysztof

AU - Kurpas, Monika

AU - Łakomiec, Krzysztof

AU - Śmieja, Jarosław

AU - Suwiński, Rafał

AU - Świerniak, Andrzej

PY - 2019

Y1 - 2019

N2 - 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 expressed as a linear functions of data from mass spectrometry of patient blood plasma samples. These linear functions constitute the second component of the hybrid model. A comparison of clinical and simulation-based survival curves is used to evaluate the quality of the model.

AB - 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 expressed as a linear functions of data from mass spectrometry of patient blood plasma samples. These linear functions constitute the second component of the hybrid model. A comparison of clinical and simulation-based survival curves is used to evaluate the quality of the model.

KW - Combined therapy

KW - Lung cancer

KW - Survival analysis

KW - Therapy response prediction

UR - https://www.scopus.com/pages/publications/85082296294

U2 - 10.14708/ma.v47i2.6486

DO - 10.14708/ma.v47i2.6486

M3 - Article

AN - SCOPUS:85082296294

SN - 1730-2668

VL - 47

SP - 219

EP - 228

JO - Mathematica Applicanda

JF - Mathematica Applicanda

IS - 2

ER -

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

Abstrakt

Cele SDG ONZ

Obszary tematyczne ASJC Scopus

Uzyskaj dostęp do dokumentu

Inne pliki i linki

Fingerprint

Cytowanie