Towards Personalized Radio-Chemotherapy – Learning from Clinical Data vs. Model Optimization

Andrzej Świerniak; Jarosław Śmieja; Krzysztof Fujarewicz; Rafał Suwiński

doi:10.1007/978-3-030-41964-6_32

Towards Personalized Radio-Chemotherapy – Learning from Clinical Data vs. Model Optimization

Katedra Inżynierii i Biologii Systemów (RAU/RAU1)

Maria Sklodowska-Curie Institute of Oncology

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1 Cytowanie z bazy Scopus

Abstrakt

We summarize results of our research studies on models of combined anticancer radio- and chemotherapy and their comparison with real clinical data. We use two mathematical techniques, which, to our knowledge, have not been applied simultaneously: optimal control theory and survival analysis. We recall results of analytical optimization of combined chemo-radio-therapy for a simple model of tumor growth with respect to the order, in which these two modes of treatment should be applied. Then we study both structural and parametric sensitivity of this model and related optimal control problem. Afterwards, we present results of survival analysis based on the Kaplan-Meier curves for different protocols of chemo-radio-therapy and compare them with real clinical data and results of optimal treatment protocols.

Język oryginału	angielski
Tytuł publikacji goszczącej	Intelligent Information and Database Systems - 12th Asian Conference, ACIIDS 2020, Proceedings
Redaktorzy	Ngoc Thanh Nguyen, Bogdan Trawinski, Kietikul Jearanaitanakij, Suphamit Chittayasothorn, Ali Selamat
Wydawca	Springer
Strony	371-379
Liczba stron	9
ISBN (drukowany)	9783030419639
Identyfikatory DOI	https://doi.org/10.1007/978-3-030-41964-6_32
Status publikacji	Opublikowano - 2020
Wydarzenie	12th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2020 - Phuket, Tajlandia Czas trwania: 23 mar 2020 → 26 mar 2020

Seria publikacji

Nazwa	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Tom	12033 LNAI
ISSN (drukowany)	0302-9743
ISSN (elektroniczny)	1611-3349

Konferencja

Konferencja	12th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2020
Kraj/Terytorium	Tajlandia
Miejscowość	Phuket
Okres	23/03/20 → 26/03/20

Cele SDG ONZ

Ten wynik przyczynia się do realizacji następujących celów zrównoważonego rozwoju

Cel 3 Dobre zdrowie i dobre samopoczucie

Obszary tematyczne ASJC Scopus

Informatyka teoretyczna
Informatyka ogólna

Uzyskaj dostęp do dokumentu

10.1007/978-3-030-41964-6_32

Inne pliki i linki

Link do publikacji w Scopus

Cytowanie

Świerniak, A., Śmieja, J., Fujarewicz, K., & Suwiński, R. (2020). Towards Personalized Radio-Chemotherapy – Learning from Clinical Data vs. Model Optimization. W N. T. Nguyen, B. Trawinski, K. Jearanaitanakij, S. Chittayasothorn, & A. Selamat (Red.), Intelligent Information and Database Systems - 12th Asian Conference, ACIIDS 2020, Proceedings (str. 371-379). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Tom 12033 LNAI). Springer. https://doi.org/10.1007/978-3-030-41964-6_32

Świerniak, Andrzej ; Śmieja, Jarosław ; Fujarewicz, Krzysztof i in. / Towards Personalized Radio-Chemotherapy – Learning from Clinical Data vs. Model Optimization. Intelligent Information and Database Systems - 12th Asian Conference, ACIIDS 2020, Proceedings. redaktor / Ngoc Thanh Nguyen ; Bogdan Trawinski ; Kietikul Jearanaitanakij ; Suphamit Chittayasothorn ; Ali Selamat. Springer, 2020. str. 371-379 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{5c357a9832f14703a59f71242897fea3,

title = "Towards Personalized Radio-Chemotherapy – Learning from Clinical Data vs. Model Optimization",

abstract = "We summarize results of our research studies on models of combined anticancer radio- and chemotherapy and their comparison with real clinical data. We use two mathematical techniques, which, to our knowledge, have not been applied simultaneously: optimal control theory and survival analysis. We recall results of analytical optimization of combined chemo-radio-therapy for a simple model of tumor growth with respect to the order, in which these two modes of treatment should be applied. Then we study both structural and parametric sensitivity of this model and related optimal control problem. Afterwards, we present results of survival analysis based on the Kaplan-Meier curves for different protocols of chemo-radio-therapy and compare them with real clinical data and results of optimal treatment protocols.",

keywords = "Survival analysis, Therapy optimization",

author = "Andrzej {\'S}wierniak and Jaros{\l}aw {\'S}mieja and Krzysztof Fujarewicz and Rafa{\l} Suwi{\'n}ski",

note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; 12th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2020 ; Conference date: 23-03-2020 Through 26-03-2020",

year = "2020",

doi = "10.1007/978-3-030-41964-6\_32",

language = "English",

isbn = "9783030419639",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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pages = "371--379",

editor = "Nguyen, \{Ngoc Thanh\} and Bogdan Trawinski and Kietikul Jearanaitanakij and Suphamit Chittayasothorn and Ali Selamat",

booktitle = "Intelligent Information and Database Systems - 12th Asian Conference, ACIIDS 2020, Proceedings",

address = "Germany",

}

Świerniak, A , Śmieja, J , Fujarewicz, K & Suwiński, R 2020, Towards Personalized Radio-Chemotherapy – Learning from Clinical Data vs. Model Optimization. w NT Nguyen, B Trawinski, K Jearanaitanakij, S Chittayasothorn & A Selamat (red), Intelligent Information and Database Systems - 12th Asian Conference, ACIIDS 2020, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), tom 12033 LNAI, Springer, str. 371-379, 12th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2020, Phuket, Tajlandia, 23/03/20. https://doi.org/10.1007/978-3-030-41964-6_32

Towards Personalized Radio-Chemotherapy – Learning from Clinical Data vs. Model Optimization. / Świerniak, Andrzej ; Śmieja, Jarosław ; Fujarewicz, Krzysztof i in.
Intelligent Information and Database Systems - 12th Asian Conference, ACIIDS 2020, Proceedings. red. / Ngoc Thanh Nguyen; Bogdan Trawinski; Kietikul Jearanaitanakij; Suphamit Chittayasothorn; Ali Selamat. Springer, 2020. str. 371-379 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Tom 12033 LNAI).

Wyniki badań: Rozdział w książce/raport/materiał konferencyjny › Wkład w konferencję › recenzja

TY - GEN

T1 - Towards Personalized Radio-Chemotherapy – Learning from Clinical Data vs. Model Optimization

AU - Świerniak, Andrzej

AU - Śmieja, Jarosław

AU - Fujarewicz, Krzysztof

AU - Suwiński, Rafał

PY - 2020

Y1 - 2020

N2 - We summarize results of our research studies on models of combined anticancer radio- and chemotherapy and their comparison with real clinical data. We use two mathematical techniques, which, to our knowledge, have not been applied simultaneously: optimal control theory and survival analysis. We recall results of analytical optimization of combined chemo-radio-therapy for a simple model of tumor growth with respect to the order, in which these two modes of treatment should be applied. Then we study both structural and parametric sensitivity of this model and related optimal control problem. Afterwards, we present results of survival analysis based on the Kaplan-Meier curves for different protocols of chemo-radio-therapy and compare them with real clinical data and results of optimal treatment protocols.

AB - We summarize results of our research studies on models of combined anticancer radio- and chemotherapy and their comparison with real clinical data. We use two mathematical techniques, which, to our knowledge, have not been applied simultaneously: optimal control theory and survival analysis. We recall results of analytical optimization of combined chemo-radio-therapy for a simple model of tumor growth with respect to the order, in which these two modes of treatment should be applied. Then we study both structural and parametric sensitivity of this model and related optimal control problem. Afterwards, we present results of survival analysis based on the Kaplan-Meier curves for different protocols of chemo-radio-therapy and compare them with real clinical data and results of optimal treatment protocols.

KW - Survival analysis

KW - Therapy optimization

UR - https://www.scopus.com/pages/publications/85082294452

U2 - 10.1007/978-3-030-41964-6_32

DO - 10.1007/978-3-030-41964-6_32

M3 - Conference contribution

AN - SCOPUS:85082294452

SN - 9783030419639

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 371

EP - 379

BT - Intelligent Information and Database Systems - 12th Asian Conference, ACIIDS 2020, Proceedings

A2 - Nguyen, Ngoc Thanh

A2 - Trawinski, Bogdan

A2 - Jearanaitanakij, Kietikul

A2 - Chittayasothorn, Suphamit

A2 - Selamat, Ali

PB - Springer

T2 - 12th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2020

Y2 - 23 March 2020 through 26 March 2020

ER -

Świerniak A , Śmieja J , Fujarewicz K, Suwiński R. Towards Personalized Radio-Chemotherapy – Learning from Clinical Data vs. Model Optimization. W Nguyen NT, Trawinski B, Jearanaitanakij K, Chittayasothorn S, Selamat A, redaktorzy, Intelligent Information and Database Systems - 12th Asian Conference, ACIIDS 2020, Proceedings. Springer. 2020. str. 371-379. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-41964-6_32

Towards Personalized Radio-Chemotherapy – Learning from Clinical Data vs. Model Optimization

Abstrakt

Seria publikacji

Konferencja

Cele SDG ONZ

Obszary tematyczne ASJC Scopus

Uzyskaj dostęp do dokumentu

Inne pliki i linki

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Cytowanie