Ultrasound GLCM texture analysis of radiation-induced acute toxicity following breast cancer radiotherapy

Boran Zhou; Mingquan Lin; Xiaofeng Yang; Simone Henry; Jolinta Lin; Karen Godette; Shannon T. Kahn; Walter J. Curran; Mylin A. Torres; Tian Liu

doi:10.1117/12.2581139

Ultrasound GLCM texture analysis of radiation-induced acute toxicity following breast cancer radiotherapy

Boran Zhou, Mingquan Lin, Xiaofeng Yang, Simone Henry, Jolinta Lin, Karen Godette, Shannon T. Kahn, Walter J. Curran, Mylin A. Torres, Tian Liu

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

The aim of this study is to identify ultrasound texture features to characterize radiation-associated acute breast toxicity in women following radiotherapy treatment for breast cancer. We investigated a series of sonographic features obtained from the gray level co-occurrence matrix (GLCM) – a second order statistical method of texture analysis. These features were tested in a pilot study of 42 postradiotherapy patients. The mean follow-up time for the postradiotherapy patients was 6 weeks. Each participant underwent an ultrasound study in which ultrasound scans were performed on the bilateral breast, generating a total of 42 post irradiation breasts exams. After specifying the region of interest on the B-mode images and computing the sonographic features based off the severity grading, we observed statistically significant differences in the quantification of the autocorrelation, correlation, entropy, homogeneity between moderate and severe groups. These results demonstrate the feasibility and efficacy of the GLCM method for assessing breast toxicity levels from ultrasound imaging data.

Original language	English (US)
Title of host publication	Medical Imaging 2021
Subtitle of host publication	Ultrasonic Imaging and Tomography
Editors	Brett C. Byram, Nicole V. Ruiter
Publisher	SPIE
ISBN (Electronic)	9781510640337
DOIs	https://doi.org/10.1117/12.2581139
State	Published - 2021
Externally published	Yes
Event	Medical Imaging 2021: Ultrasonic Imaging and Tomography - Virtual, Online, United States Duration: Feb 15 2021 → Feb 19 2021

Publication series

Name	Progress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume	11602
ISSN (Print)	1605-7422

Conference

Conference	Medical Imaging 2021: Ultrasonic Imaging and Tomography
Country/Territory	United States
City	Virtual, Online
Period	2/15/21 → 2/19/21

Bibliographical note

Publisher Copyright:
© 2021 SPIE

Keywords

Breast cancer
Radiation-induced toxicity
Texture analysis
Ultrasound imaging

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Publisher link

10.1117/12.2581139

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Cite this

Zhou, B., Lin, M., Yang, X., Henry, S., Lin, J., Godette, K., Kahn, S. T., Curran, W. J., Torres, M. A., & Liu, T. (2021). Ultrasound GLCM texture analysis of radiation-induced acute toxicity following breast cancer radiotherapy. In B. C. Byram, & N. V. Ruiter (Eds.), Medical Imaging 2021: Ultrasonic Imaging and Tomography Article 1160205 (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 11602). SPIE. https://doi.org/10.1117/12.2581139

Ultrasound GLCM texture analysis of radiation-induced acute toxicity following breast cancer radiotherapy. / Zhou, Boran; Lin, Mingquan; Yang, Xiaofeng et al.
Medical Imaging 2021: Ultrasonic Imaging and Tomography. ed. / Brett C. Byram; Nicole V. Ruiter. SPIE, 2021. 1160205 (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 11602).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Zhou, B, Lin, M, Yang, X, Henry, S, Lin, J, Godette, K, Kahn, ST, Curran, WJ, Torres, MA & Liu, T 2021, Ultrasound GLCM texture analysis of radiation-induced acute toxicity following breast cancer radiotherapy. in BC Byram & NV Ruiter (eds), Medical Imaging 2021: Ultrasonic Imaging and Tomography., 1160205, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 11602, SPIE, Medical Imaging 2021: Ultrasonic Imaging and Tomography, Virtual, Online, United States, 2/15/21. https://doi.org/10.1117/12.2581139

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abstract = "The aim of this study is to identify ultrasound texture features to characterize radiation-associated acute breast toxicity in women following radiotherapy treatment for breast cancer. We investigated a series of sonographic features obtained from the gray level co-occurrence matrix (GLCM) – a second order statistical method of texture analysis. These features were tested in a pilot study of 42 postradiotherapy patients. The mean follow-up time for the postradiotherapy patients was 6 weeks. Each participant underwent an ultrasound study in which ultrasound scans were performed on the bilateral breast, generating a total of 42 post irradiation breasts exams. After specifying the region of interest on the B-mode images and computing the sonographic features based off the severity grading, we observed statistically significant differences in the quantification of the autocorrelation, correlation, entropy, homogeneity between moderate and severe groups. These results demonstrate the feasibility and efficacy of the GLCM method for assessing breast toxicity levels from ultrasound imaging data.",

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author = "Boran Zhou and Mingquan Lin and Xiaofeng Yang and Simone Henry and Jolinta Lin and Karen Godette and Kahn, {Shannon T.} and Curran, {Walter J.} and Torres, {Mylin A.} and Tian Liu",

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doi = "10.1117/12.2581139",

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AU - Kahn, Shannon T.

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AU - Liu, Tian

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AB - The aim of this study is to identify ultrasound texture features to characterize radiation-associated acute breast toxicity in women following radiotherapy treatment for breast cancer. We investigated a series of sonographic features obtained from the gray level co-occurrence matrix (GLCM) – a second order statistical method of texture analysis. These features were tested in a pilot study of 42 postradiotherapy patients. The mean follow-up time for the postradiotherapy patients was 6 weeks. Each participant underwent an ultrasound study in which ultrasound scans were performed on the bilateral breast, generating a total of 42 post irradiation breasts exams. After specifying the region of interest on the B-mode images and computing the sonographic features based off the severity grading, we observed statistically significant differences in the quantification of the autocorrelation, correlation, entropy, homogeneity between moderate and severe groups. These results demonstrate the feasibility and efficacy of the GLCM method for assessing breast toxicity levels from ultrasound imaging data.

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KW - Radiation-induced toxicity

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Ultrasound GLCM texture analysis of radiation-induced acute toxicity following breast cancer radiotherapy

Abstract

Publication series

Conference

Bibliographical note

Keywords

UN SDGs

Publisher link

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