Tumor texture analysis in PET: Relationship between the level of uptake of radio-label at the time of treatment and the level of uptake of radio-label before and after treatment

Aleksandra Juraszczyk; Kamil Gorczewski; Damian Borys

doi:10.1007/978-3-319-47154-9_25

Tumor texture analysis in PET: Relationship between the level of uptake of radio-label at the time of treatment and the level of uptake of radio-label before and after treatment

Aleksandra Juraszczyk
, Kamil Gorczewski
, Damian Borys

Department of Systems Biology and Engineering (RAU/RAU1)

Silesian University of Technology
Maria Sklodowska-Curie Institute of Oncology

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

In this paper we present an analysis of relationship between the level of uptake of radio-label at the time of treatment and the level of uptake of radio-label before and after treatment. The analysis is based on correlation analysis of the tumor features. The patients had 3 examinations: before, during, and after the therapy within 1 month. The fusion of the examinations was performed and the tumors were designated. Then, 108 features were calculated. 3 features determine the tumor: maximum, minimum and average value of Standardized Uptake Value (SUV). 105 features are the texture indices indices based on histogram, histogram of sums, histogram of differences and co-occurrence matrix. The relationship between the features and the uptake levels was analyzed using the Pearson correlation. 29 features proved to be relevant for the correlation.

Original language	English
Title of host publication	Advances in Intelligent Systems and Computing
Publisher	Springer Verlag
Pages	211-218
Number of pages	8
DOIs	https://doi.org/10.1007/978-3-319-47154-9_25
Publication status	Published - 1 Oct 2017

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	526
ISSN (Print)	2194-5357

Keywords

PET/CT
Texture indices
Tumor characterization

ASJC Scopus subject areas

Control and Systems Engineering
General Computer Science

Access to Document

10.1007/978-3-319-47154-9_25

Cite this

Juraszczyk, A., Gorczewski, K., & Borys, D. (2017). Tumor texture analysis in PET: Relationship between the level of uptake of radio-label at the time of treatment and the level of uptake of radio-label before and after treatment. In Advances in Intelligent Systems and Computing (pp. 211-218). (Advances in Intelligent Systems and Computing; Vol. 526). Springer Verlag. https://doi.org/10.1007/978-3-319-47154-9_25

Juraszczyk, Aleksandra ; Gorczewski, Kamil ; Borys, Damian. / Tumor texture analysis in PET : Relationship between the level of uptake of radio-label at the time of treatment and the level of uptake of radio-label before and after treatment. Advances in Intelligent Systems and Computing. Springer Verlag, 2017. pp. 211-218 (Advances in Intelligent Systems and Computing).

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title = "Tumor texture analysis in PET: Relationship between the level of uptake of radio-label at the time of treatment and the level of uptake of radio-label before and after treatment",

abstract = "In this paper we present an analysis of relationship between the level of uptake of radio-label at the time of treatment and the level of uptake of radio-label before and after treatment. The analysis is based on correlation analysis of the tumor features. The patients had 3 examinations: before, during, and after the therapy within 1 month. The fusion of the examinations was performed and the tumors were designated. Then, 108 features were calculated. 3 features determine the tumor: maximum, minimum and average value of Standardized Uptake Value (SUV). 105 features are the texture indices indices based on histogram, histogram of sums, histogram of differences and co-occurrence matrix. The relationship between the features and the uptake levels was analyzed using the Pearson correlation. 29 features proved to be relevant for the correlation.",

keywords = "PET/CT, Texture indices, Tumor characterization",

author = "Aleksandra Juraszczyk and Kamil Gorczewski and Damian Borys",

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Juraszczyk, A, Gorczewski, K & Borys, D 2017, Tumor texture analysis in PET: Relationship between the level of uptake of radio-label at the time of treatment and the level of uptake of radio-label before and after treatment. in Advances in Intelligent Systems and Computing. Advances in Intelligent Systems and Computing, vol. 526, Springer Verlag, pp. 211-218. https://doi.org/10.1007/978-3-319-47154-9_25

Tumor texture analysis in PET: Relationship between the level of uptake of radio-label at the time of treatment and the level of uptake of radio-label before and after treatment. / Juraszczyk, Aleksandra; Gorczewski, Kamil; Borys, Damian.
Advances in Intelligent Systems and Computing. Springer Verlag, 2017. p. 211-218 (Advances in Intelligent Systems and Computing; Vol. 526).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

TY - CHAP

T1 - Tumor texture analysis in PET

T2 - Relationship between the level of uptake of radio-label at the time of treatment and the level of uptake of radio-label before and after treatment

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Juraszczyk A, Gorczewski K, Borys D. Tumor texture analysis in PET: Relationship between the level of uptake of radio-label at the time of treatment and the level of uptake of radio-label before and after treatment. In Advances in Intelligent Systems and Computing. Springer Verlag. 2017. p. 211-218. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-319-47154-9_25

Tumor texture analysis in PET: Relationship between the level of uptake of radio-label at the time of treatment and the level of uptake of radio-label before and after treatment

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