Mathematical models of tumor growth using Voronoi tessellations in pathology slides of kidney cancer Conference Paper


Authors: Saribudak, A.; Dong, Y.; Gundry, S.; Hsieh, J.; Uyar, M. U.
Title: Mathematical models of tumor growth using Voronoi tessellations in pathology slides of kidney cancer
Conference Title: 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Abstract: The impact of patient-specific spatial distribution features of cell nuclei on tumor growth characteristics was analyzed. Tumor tissues from kidney cancer patients were allowed to grow in mice to apply H&E staining and to measure tumor volume during preclinical phase of our study. Imaging the H&E stained slides under a digital light microscope, the morphological characteristics of nuclei positions were determined. Using artificial intelligence based techniques, Voronoi features were derived from diagrams, where cell nuclei were considered as distinct nodes. By identifying the effect of each Voronoi feature, tumor growth was expressed mathematically. Consistency between the computed growth curves and preclinical measurements indicates that the information obtained from the H&E slides can be used as biomarkers to build personalized mathematical models for tumor growth. © 2015 IEEE.
Keywords: kidney cancer; exponential linear model; h&e slides; tumor growth models; voronoi tessellations
Journal Title IEEE Engineering in Medicine and Biology Society. Conference Proceedings
Volume: 2015
Conference Dates: 2015 Aug 25-29
Conference Location: Milan, Italy
ISBN: 1557-170X
Publisher: IEEE  
Date Published: 2015-01-01
Start Page: 4454
End Page: 4457
Language: English
DOI: 10.1109/embc.2015.7319383
PROVIDER: scopus
PUBMED: 26737283
DOI/URL:
Notes: Proc. Annu. Int. Conf. IEEE Eng. Med. Biol. Soc. EMBS -- Conference code: 116805 -- Export Date: 3 February 2016 -- Conference Paper -- 25 August 2015 through 29 August 2015 -- Source: Scopus
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  1. Yiyu Dong
    26 Dong
  2. James J Hsieh
    125 Hsieh