Publication detail
Mathematical Model of Serum PSA - Urinary Sarcosine Dependency and Its Impact On Prostate Tumor Geometry
KOVÁR, M. HEGER, Z. CERNEI, N. PŘÍBORSKÝ, J.
Original Title
Mathematical Model of Serum PSA - Urinary Sarcosine Dependency and Its Impact On Prostate Tumor Geometry
Type
conference paper
Language
English
Original Abstract
Coming out from the well-known Brunn-Minkowski Theorem and its immediate consequence, the isoperimetric inequality, we attempt to reveal the geometrical information regarding the prostate tumor, hiding behind the dependency between the two biomarkers - serum prostate specific antigen (PSA) and urinary sarcosine.
Keywords
Sarcosine, PSA, prostate cancer, tumor geometry, isoperimetric inequality, linear regression, Pearson correlation coefficient
Authors
KOVÁR, M.; HEGER, Z.; CERNEI, N.; PŘÍBORSKÝ, J.
Released
31. 1. 2017
Publisher
STU Bratislava
Location
Bratislava
ISBN
978-80-227-4650-2
Book
Aplimat 2017, proceedings
Edition number
1
Pages from
878
Pages to
887
Pages count
10
URL
BibTex
@inproceedings{BUT138820,
author="Martin {Kovár} and Zbyněk {Heger} and Natalia Vladimirovna {Cernei} and Jan {Příborský}",
title="Mathematical Model of Serum PSA - Urinary Sarcosine Dependency and Its Impact On Prostate Tumor Geometry",
booktitle="Aplimat 2017, proceedings",
year="2017",
number="1",
pages="878--887",
publisher="STU Bratislava",
address="Bratislava",
isbn="978-80-227-4650-2",
url="http://evlm.stuba.sk/APLIMAT/indexe.htm"
}