Radiomics analysis of baseline F-FDG PET/CT images for improved prognosis in nasopharyngeal carcinoma

Wenbing Lv; Qingyu Yuan; Quanshi Wang; Jianhua Ma; Qianjin Feng; Wufan Chen; Arman Rahmim; Lijun Lu

doi:10.1109/ISBI.2018.8363701

Radiomics analysis of baseline F-FDG PET/CT images for improved prognosis in nasopharyngeal carcinoma

Wenbing Lv, Qingyu Yuan, Quanshi Wang, Jianhua Ma, Qianjin Feng, Wufan Chen, Arman Rahmim, Lijun Lu

School of Medicine

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

Abstract

The purpose of this study is to investigate the prognostic performance of radiomics features on nasopharyngeal carcinoma (NPC) patients imaged with baseline ¹⁸F-FDG PET/CT. 128 NPC patients were retrospectively enrolled with 3348 radiomics features and 13 clinical features. Kaplan-Meier analysis was used to estimate progression-free survival (PFS), and log-rank test was used to screen the significant features. Cox proportional hazards regression modal with forward stepwise feature selection was adopted to identify independent predictors of PFS. 24 radiomics features and 8 clinical features were found to be significantly associated with PFS in univariate analysis. Radiomics features HGZE-GLSZM-HLL-32 (p=0.0061, HR: 0.66, 95%CI: 0.49-0.89), as well as clinical features N-stage, M-stage, antibody VCA-IgA and platelet count (PLT) retained the independent prognostic significance for PFS in multivariate analysis. Overall, radiomics features can provide complementary prognostic information for NPC patients imaged with baseline ¹⁸F-FDG PET/CT compared to clinical features.

Original language	English (US)
Title of host publication	2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018
Publisher	IEEE Computer Society
Pages	835-838
Number of pages	4
Volume	2018-April
ISBN (Electronic)	9781538636367
DOIs	https://doi.org/10.1109/ISBI.2018.8363701
State	Published - May 23 2018
Event	15th IEEE International Symposium on Biomedical Imaging, ISBI 2018 - Washington, United States Duration: Apr 4 2018 → Apr 7 2018

Other

Other	15th IEEE International Symposium on Biomedical Imaging, ISBI 2018
Country	United States
City	Washington
Period	4/4/18 → 4/7/18

Keywords

F-FDG PET/CT
Clinical features
Nasopharyngeal carcinoma
Prognosis
Progression-free survival
Radiomics

ASJC Scopus subject areas

Biomedical Engineering
Radiology Nuclear Medicine and imaging

Access to Document

10.1109/ISBI.2018.8363701

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Radiomics analysis of baseline F-FDG PET/CT images for improved prognosis in nasopharyngeal carcinoma. / Lv, Wenbing; Yuan, Qingyu; Wang, Quanshi; Ma, Jianhua; Feng, Qianjin; Chen, Wufan; Rahmim, Arman; Lu, Lijun.

2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. Vol. 2018-April IEEE Computer Society, 2018. p. 835-838.

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

Lv, W, Yuan, Q, Wang, Q, Ma, J, Feng, Q, Chen, W, Rahmim, A & Lu, L 2018, Radiomics analysis of baseline F-FDG PET/CT images for improved prognosis in nasopharyngeal carcinoma. in 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. vol. 2018-April, IEEE Computer Society, pp. 835-838, 15th IEEE International Symposium on Biomedical Imaging, ISBI 2018, Washington, United States, 4/4/18. https://doi.org/10.1109/ISBI.2018.8363701

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abstract = "The purpose of this study is to investigate the prognostic performance of radiomics features on nasopharyngeal carcinoma (NPC) patients imaged with baseline 18F-FDG PET/CT. 128 NPC patients were retrospectively enrolled with 3348 radiomics features and 13 clinical features. Kaplan-Meier analysis was used to estimate progression-free survival (PFS), and log-rank test was used to screen the significant features. Cox proportional hazards regression modal with forward stepwise feature selection was adopted to identify independent predictors of PFS. 24 radiomics features and 8 clinical features were found to be significantly associated with PFS in univariate analysis. Radiomics features HGZE-GLSZM-HLL-32 (p=0.0061, HR: 0.66, 95%CI: 0.49-0.89), as well as clinical features N-stage, M-stage, antibody VCA-IgA and platelet count (PLT) retained the independent prognostic significance for PFS in multivariate analysis. Overall, radiomics features can provide complementary prognostic information for NPC patients imaged with baseline 18F-FDG PET/CT compared to clinical features.",

keywords = "F-FDG PET/CT, Clinical features, Nasopharyngeal carcinoma, Prognosis, Progression-free survival, Radiomics",

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AB - The purpose of this study is to investigate the prognostic performance of radiomics features on nasopharyngeal carcinoma (NPC) patients imaged with baseline 18F-FDG PET/CT. 128 NPC patients were retrospectively enrolled with 3348 radiomics features and 13 clinical features. Kaplan-Meier analysis was used to estimate progression-free survival (PFS), and log-rank test was used to screen the significant features. Cox proportional hazards regression modal with forward stepwise feature selection was adopted to identify independent predictors of PFS. 24 radiomics features and 8 clinical features were found to be significantly associated with PFS in univariate analysis. Radiomics features HGZE-GLSZM-HLL-32 (p=0.0061, HR: 0.66, 95%CI: 0.49-0.89), as well as clinical features N-stage, M-stage, antibody VCA-IgA and platelet count (PLT) retained the independent prognostic significance for PFS in multivariate analysis. Overall, radiomics features can provide complementary prognostic information for NPC patients imaged with baseline 18F-FDG PET/CT compared to clinical features.

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