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"
}