Association between tumor heterogeneity and overall survival in patients with non-small cell lung cancer

Jiangdian Song; Di Dong; Yanqi Huang; Zaiyi Liu; Jie Tian

doi:10.1109/ISBI.2016.7493493

Association between tumor heterogeneity and overall survival in patients with non-small cell lung cancer

Jiangdian Song
, Di Dong
, Yanqi Huang
, Zaiyi Liu
, Jie Tian

Northeastern University China
CAS - Institute of Automation
Guangdong Academy of Medical Sciences

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

7 Scopus citations

Abstract

In this paper, a radiomics approach was proposed to determine whether the tumor heterogeneity of non-small cell lung cancer (NSCLC), which was measured by the texture on computed tomography (CT), could make an independent prediction of overall survival. A primary dataset contained 72 patients (mean survival, 15.9 months) with pathologic diagnosis of NSCLC and a validation dataset contained 67 NSCLC (mean survival, 18.1 months) patients which were used for prognosis trial. The experiment results indicated that the features: «energy of run-length (ERL)» (hazard ratio [HR]: 0.55, 95% confidence interval [CI]: (0.34, 0.89), P = 0.014) and «long-run high gray level emphasis of run-length (LRHGLERL)» (HR: 0.50, 95%CI: (0.32, 0.80), P = 0.005) were significantly associated with overall survival in the primary dataset, and these two texture features also make an consistent performance on the validation cohort. Our study further supported that the quantitative measurement of tumor heterogeneity can be associated with prognosis of NSCLC.

Original language	English
Title of host publication	2016 IEEE International Symposium on Biomedical Imaging
Subtitle of host publication	From Nano to Macro, ISBI 2016 - Proceedings
Publisher	IEEE Computer Society
Pages	1249-1252
Number of pages	4
ISBN (Electronic)	9781479923502
DOIs	https://doi.org/10.1109/ISBI.2016.7493493
State	Published - 15 Jun 2016
Externally published	Yes
Event	13th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016 - Prague, Czech Republic Duration: 13 Apr 2016 → 16 Apr 2016

Publication series

Name	Proceedings - International Symposium on Biomedical Imaging
Volume	2016-June
ISSN (Print)	1945-7928
ISSN (Electronic)	1945-8452

Conference

Conference	13th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016
Country/Territory	Czech Republic
City	Prague
Period	13/04/16 → 16/04/16

UN SDGs

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

SDG 3 Good Health and Well-being

Keywords

Tumor heterogeneity
non-small cell lung cancer
prognosis
radiomics
texture

Access to Document

10.1109/ISBI.2016.7493493

Cite this

Song, J., Dong, D., Huang, Y., Liu, Z., & Tian, J. (2016). Association between tumor heterogeneity and overall survival in patients with non-small cell lung cancer. In 2016 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016 - Proceedings (pp. 1249-1252). Article 7493493 (Proceedings - International Symposium on Biomedical Imaging; Vol. 2016-June). IEEE Computer Society. https://doi.org/10.1109/ISBI.2016.7493493

@inproceedings{69fe2b3614c0477dbffb1330dce76315,

title = "Association between tumor heterogeneity and overall survival in patients with non-small cell lung cancer",

abstract = "In this paper, a radiomics approach was proposed to determine whether the tumor heterogeneity of non-small cell lung cancer (NSCLC), which was measured by the texture on computed tomography (CT), could make an independent prediction of overall survival. A primary dataset contained 72 patients (mean survival, 15.9 months) with pathologic diagnosis of NSCLC and a validation dataset contained 67 NSCLC (mean survival, 18.1 months) patients which were used for prognosis trial. The experiment results indicated that the features: «energy of run-length (ERL)» (hazard ratio [HR]: 0.55, 95\% confidence interval [CI]: (0.34, 0.89), P = 0.014) and «long-run high gray level emphasis of run-length (LRHGLERL)» (HR: 0.50, 95\%CI: (0.32, 0.80), P = 0.005) were significantly associated with overall survival in the primary dataset, and these two texture features also make an consistent performance on the validation cohort. Our study further supported that the quantitative measurement of tumor heterogeneity can be associated with prognosis of NSCLC.",

keywords = "Tumor heterogeneity, non-small cell lung cancer, prognosis, radiomics, texture",

author = "Jiangdian Song and Di Dong and Yanqi Huang and Zaiyi Liu and Jie Tian",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 13th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016 ; Conference date: 13-04-2016 Through 16-04-2016",

year = "2016",

month = jun,

day = "15",

doi = "10.1109/ISBI.2016.7493493",

language = "英语",

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Song, J, Dong, D, Huang, Y, Liu, Z & Tian, J 2016, Association between tumor heterogeneity and overall survival in patients with non-small cell lung cancer. in 2016 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016 - Proceedings., 7493493, Proceedings - International Symposium on Biomedical Imaging, vol. 2016-June, IEEE Computer Society, pp. 1249-1252, 13th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016, Prague, Czech Republic, 13/04/16. https://doi.org/10.1109/ISBI.2016.7493493

Association between tumor heterogeneity and overall survival in patients with non-small cell lung cancer. / Song, Jiangdian; Dong, Di; Huang, Yanqi et al.
2016 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016 - Proceedings. IEEE Computer Society, 2016. p. 1249-1252 7493493 (Proceedings - International Symposium on Biomedical Imaging; Vol. 2016-June).

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

TY - GEN

T1 - Association between tumor heterogeneity and overall survival in patients with non-small cell lung cancer

AU - Song, Jiangdian

AU - Dong, Di

AU - Huang, Yanqi

AU - Liu, Zaiyi

AU - Tian, Jie

PY - 2016/6/15

Y1 - 2016/6/15

N2 - In this paper, a radiomics approach was proposed to determine whether the tumor heterogeneity of non-small cell lung cancer (NSCLC), which was measured by the texture on computed tomography (CT), could make an independent prediction of overall survival. A primary dataset contained 72 patients (mean survival, 15.9 months) with pathologic diagnosis of NSCLC and a validation dataset contained 67 NSCLC (mean survival, 18.1 months) patients which were used for prognosis trial. The experiment results indicated that the features: «energy of run-length (ERL)» (hazard ratio [HR]: 0.55, 95% confidence interval [CI]: (0.34, 0.89), P = 0.014) and «long-run high gray level emphasis of run-length (LRHGLERL)» (HR: 0.50, 95%CI: (0.32, 0.80), P = 0.005) were significantly associated with overall survival in the primary dataset, and these two texture features also make an consistent performance on the validation cohort. Our study further supported that the quantitative measurement of tumor heterogeneity can be associated with prognosis of NSCLC.

AB - In this paper, a radiomics approach was proposed to determine whether the tumor heterogeneity of non-small cell lung cancer (NSCLC), which was measured by the texture on computed tomography (CT), could make an independent prediction of overall survival. A primary dataset contained 72 patients (mean survival, 15.9 months) with pathologic diagnosis of NSCLC and a validation dataset contained 67 NSCLC (mean survival, 18.1 months) patients which were used for prognosis trial. The experiment results indicated that the features: «energy of run-length (ERL)» (hazard ratio [HR]: 0.55, 95% confidence interval [CI]: (0.34, 0.89), P = 0.014) and «long-run high gray level emphasis of run-length (LRHGLERL)» (HR: 0.50, 95%CI: (0.32, 0.80), P = 0.005) were significantly associated with overall survival in the primary dataset, and these two texture features also make an consistent performance on the validation cohort. Our study further supported that the quantitative measurement of tumor heterogeneity can be associated with prognosis of NSCLC.

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KW - non-small cell lung cancer

KW - prognosis

KW - radiomics

KW - texture

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M3 - 会议稿件

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T3 - Proceedings - International Symposium on Biomedical Imaging

SP - 1249

EP - 1252

BT - 2016 IEEE International Symposium on Biomedical Imaging

PB - IEEE Computer Society

T2 - 13th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016

Y2 - 13 April 2016 through 16 April 2016

ER -

Song J, Dong D, Huang Y, Liu Z, Tian J. Association between tumor heterogeneity and overall survival in patients with non-small cell lung cancer. In 2016 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016 - Proceedings. IEEE Computer Society. 2016. p. 1249-1252. 7493493. (Proceedings - International Symposium on Biomedical Imaging). doi: 10.1109/ISBI.2016.7493493

Association between tumor heterogeneity and overall survival in patients with non-small cell lung cancer

Abstract

Publication series

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UN SDGs

Keywords

Access to Document

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