Survival of Patients with Primary Brain Tumors: Comparison of
Two Statistical Approaches

J 2016

Survival of Patients with Primary Brain Tumors: Comparison of Two Statistical Approaches

SELINGEROVÁ, Iveta, Hana DOLEŽELOVÁ, Ivanka HOROVÁ, Stanislav KATINA, Jiří ZELINKA et. al.

Základní údaje

Originální název

Survival of Patients with Primary Brain Tumors: Comparison of Two Statistical Approaches

Autoři

SELINGEROVÁ, Iveta (203 Česká republika, garant, domácí), Hana DOLEŽELOVÁ (203 Česká republika), Ivanka HOROVÁ (203 Česká republika, domácí), Stanislav KATINA (703 Slovensko, domácí) a Jiří ZELINKA (203 Česká republika, domácí)

Vydání

PLOS ONE, 2016, 1932-6203

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

10103 Statistics and probability

Stát vydavatele

Spojené státy

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Impakt faktor

Impact factor: 2.806

Kód RIV

RIV/00216224:14310/16:00087816

Organizační jednotka

Přírodovědecká fakulta

DOI

http://dx.doi.org/10.1371/journal.pone.0148733

UT WoS

000370046600103

Klíčová slova anglicky

conditional hazard function; kernel estimation; Cox regression model; brain tumor data

Štítky

AKR, EL OK, podil, rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 20. 10. 2018 09:48, doc. PaedDr. RNDr. Stanislav Katina, Ph.D.

Anotace

V originále

We reviewed the survival time for patients with primary brain tumors undergoing treatment with stereotactic radiation methods at the Masaryk Memorial Cancer Institute Brno. We also identified risk factors and characteristics, and described their influence on survival time.In summarizing survival data, there are two functions of principal interest, namely, the survival function and the hazard function. In practice, both of them can depend on some characteristics. We focused on nonparametric methods, propose a method based on kernel smoothing, and compared our estimates with the results of the Cox regression model. The hazard function is conditional to age and gross tumor volume and visualized as a colorcoded surface. A multivariate Cox model was also designed.There were 88 patients with primary brain cancer, treated with stereotactic radiation. The median survival of our patient cohort was 47.8 months. The estimate of the hazard function has two peaks (about 10 months and about 40 months). The survival time of patients was significantly different for various diagnoses (p0.001), KI (p = 0.047) and stereotactic methods (p = 0.033). Patients with a greater GTV had higher risk of death. The suitable threshold for GTV is 20 cm3. Younger patients with a survival time of about 50 months had a higher risk of death. In the multivariate Cox regression model, the selected variables were age, GTV, sex, diagnosis, KI, location, and some of their interactions. Kernel methods give us the possibility to evaluate continuous risk variables and based on the results offer risk-prone patients a different treatment, and can be useful for verifying assumptions of the Cox model or for finding thresholds of continuous variables.

Návaznosti

GA15-06991S, projekt VaV

Název: Analýza funkcionálních dat a související témata

Investor: Grantová agentura ČR, Analýza funkcionálních dat a související témata

Citovat

SELINGEROVÁ, Iveta, Hana DOLEŽELOVÁ, Ivanka HOROVÁ, Stanislav KATINA a Jiří ZELINKA. Survival of Patients with Primary Brain Tumors: Comparison of Two Statistical Approaches. PLOS ONE. 2016, roč. 11, č. 2, s. "nestrankovano", 12 s. ISSN 1932-6203. Dostupné z: https://dx.doi.org/10.1371/journal.pone.0148733.

@article{1335933,
   author = {Selingerová, Iveta and Doleželová, Hana and Horová, Ivanka and Katina, Stanislav and Zelinka, Jiří},
   article_number = {2},
   doi = {http://dx.doi.org/10.1371/journal.pone.0148733},
   keywords = {conditional hazard function; kernel estimation; Cox regression model; brain tumor data},
   language = {eng},
   issn = {1932-6203},
   journal = {PLOS ONE},
   title = {Survival of Patients with Primary Brain Tumors: Comparison of Two Statistical Approaches},
   url = {http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0148733},
   volume = {11},
   year = {2016}
}

TY  - JOUR
ID  - 1335933
AU  - Selingerová, Iveta - Doleželová, Hana - Horová, Ivanka - Katina, Stanislav - Zelinka, Jiří
PY  - 2016
TI  - Survival of Patients with Primary Brain Tumors: Comparison of Two Statistical Approaches
JF  - PLOS ONE
VL  - 11
IS  - 2
SP  - "nestrankovano"
EP  - "nestrankovano"
SN  - 19326203
KW  - conditional hazard function
KW  - kernel estimation
KW  - Cox regression model
KW  - brain tumor data
UR  - http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0148733
L2  - http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0148733
N2  - We reviewed the survival time for patients with primary brain tumors undergoing treatment with stereotactic radiation methods at the Masaryk Memorial Cancer Institute Brno. We also identified risk factors and characteristics, and described their influence on survival time.In summarizing survival data, there are two functions of principal interest, namely, the survival function and the hazard function. In practice, both of them can depend on some characteristics. We focused on nonparametric methods, propose a method based on kernel smoothing, and compared our estimates with the results of the Cox regression model. The hazard function is conditional to age and gross tumor volume and visualized as a colorcoded surface. A multivariate Cox model was also designed.There were 88 patients with primary brain cancer, treated with stereotactic radiation. The median survival of our patient cohort was 47.8 months. The estimate of the hazard function has two peaks (about 10 months and about 40 months). The survival time of patients was significantly different for various diagnoses (p0.001), KI (p = 0.047) and stereotactic methods (p = 0.033). Patients with a greater GTV had higher risk of death. The suitable threshold for GTV is 20 cm3. Younger patients with a survival time of about 50 months had a higher risk of death. In the multivariate Cox regression model, the selected variables were age, GTV, sex, diagnosis, KI, location, and some of their interactions. Kernel methods give us the possibility to evaluate continuous risk variables and based on the results offer risk-prone patients a different treatment, and can be useful for verifying assumptions of the Cox model or for finding thresholds of continuous variables.
ER  -

SELINGEROVÁ, Iveta, Hana DOLEŽELOVÁ, Ivanka HOROVÁ, Stanislav KATINA a Jiří ZELINKA. Survival of Patients with Primary Brain Tumors: Comparison of Two Statistical Approaches. \textit{PLOS ONE}. 2016, roč.~11, č.~2, s.~''nestrankovano'', 12 s. ISSN~1932-6203. Dostupné z: https://dx.doi.org/10.1371/journal.pone.0148733.

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