The Prognostic Value of Radiomic Features from Pre- and Post-treatment F-FDG PET Imaging in Patients with Nasopharyngeal Carcinoma

Overview

Journal Sci Rep

Specialty Science

Date 2023 May 25

PMID 37231092

Authors

Soo Jeong Kim

Joon Young Choi

Yong Chan Ahn

Myung-Ju Ahn

Seung Hwan Moon

Affiliations

Soon will be listed here.

Abstract

Positron emission tomography/computed tomography (PET/CT) with F-fluorodeoxyglucose (FDG) is widely used for management of nasopharyngeal carcinoma (NPC). Combining the radiomic features of pre- and post-treatment FDG PET images may improve tumor characterization and prognostic predication. We investigated prognostic value of radiomic features from pre- and post-radiotherapy FDG PET images in patients with NPC. Quantitative radiomic features of primary tumors were extracted from the FDG PET images of 145 NPC patients and the delta values were also calculated. The study population was divided randomly into two groups, the training and test sets (7:3). A random survival forest (RSF) model was adopted to perform analyses of progression-free survival (PFS) and overall survival (OS). There were 37 (25.5%) cases of recurrence and 16 (11.0%) cases of death during a median follow-up period of 54.5 months. Both RSF models with clinical variables and radiomic PET features for PFS and OS showed comparable predictive performance to RSF models with clinical variables and conventional PET parameters. Tumoral radiomic features of pre- and post-treatment FDG PET and the corresponding delta values may predict PFS and OS in patients with NPC.

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References

McKelvey K, Hudson A, Back M, Eade T, Diakos C . Radiation, inflammation and the immune response in cancer. Mamm Genome. 2018; 29(11-12):843-865. PMC: 6267675. DOI: 10.1007/s00335-018-9777-0. View

Jeong Y, Jung I, Kim J, Chang S, Lee S . Clinical significance of the post-radiotherapy F-fludeoxyglucose positron emission tomography response in nasopharyngeal carcinoma. Br J Radiol. 2018; 92(1102):20180045. PMC: 6774585. DOI: 10.1259/bjr.20180045. View

Pickett K, Suresh K, Campbell K, Davis S, Juarez-Colunga E . Random survival forests for dynamic predictions of a time-to-event outcome using a longitudinal biomarker. BMC Med Res Methodol. 2021; 21(1):216. PMC: 8520610. DOI: 10.1186/s12874-021-01375-x. View

Fang Y, Lin C, Shih M, Wang H, Ho T, Liao C . Development and evaluation of an open-source software package "CGITA" for quantifying tumor heterogeneity with molecular images. Biomed Res Int. 2014; 2014:248505. PMC: 3976812. DOI: 10.1155/2014/248505. View

Lin J, Xie G, Liao G, Wang B, Yan M, Li H . Prognostic value of 18F-FDG-PET/CT in patients with nasopharyngeal carcinoma: a systematic review and meta-analysis. Oncotarget. 2016; 8(20):33884-33896. PMC: 5464920. DOI: 10.18632/oncotarget.13934. View

Cheng N, Fang Y, Chang J, Huang C, Tsan D, Ng S . Textural features of pretreatment 18F-FDG PET/CT images: prognostic significance in patients with advanced T-stage oropharyngeal squamous cell carcinoma. J Nucl Med. 2013; 54(10):1703-9. DOI: 10.2967/jnumed.112.119289. View

Bossi P, Chan A, Licitra L, Trama A, Orlandi E, Hui E . Nasopharyngeal carcinoma: ESMO-EURACAN Clinical Practice Guidelines for diagnosis, treatment and follow-up. Ann Oncol. 2020; 32(4):452-465. DOI: 10.1016/j.annonc.2020.12.007. View

Tran W, Suraweera H, Quiaoit K, DiCenzo D, Fatima K, Jang D . Quantitative ultrasound delta-radiomics during radiotherapy for monitoring treatment responses in head and neck malignancies. Future Sci OA. 2020; 6(9):FSO624. PMC: 7668124. DOI: 10.2144/fsoa-2020-0073. View

Bera K, Velcheti V, Madabhushi A . Novel Quantitative Imaging for Predicting Response to Therapy: Techniques and Clinical Applications. Am Soc Clin Oncol Educ Book. 2018; 38:1008-1018. PMC: 6152883. DOI: 10.1200/EDBK_199747. View

10.

Guo R, Tang L, Mao Y, Du X, Chen L, Zhang Z . Proposed modifications and incorporation of plasma Epstein-Barr virus DNA improve the TNM staging system for Epstein-Barr virus-related nasopharyngeal carcinoma. Cancer. 2018; 125(1):79-89. DOI: 10.1002/cncr.31741. View

11.

Feliciani G, Fioroni F, Grassi E, Bertolini M, Rosca A, Timon G . Radiomic Profiling of Head and Neck Cancer: F-FDG PET Texture Analysis as Predictor of Patient Survival. Contrast Media Mol Imaging. 2018; 2018:3574310. PMC: 6180924. DOI: 10.1155/2018/3574310. View

12.

Chen Y, Lue K, Chu S, Chang B, Wang L, Liu D . Combining the radiomic features and traditional parameters of F-FDG PET with clinical profiles to improve prognostic stratification in patients with esophageal squamous cell carcinoma treated with neoadjuvant chemoradiotherapy and surgery. Ann Nucl Med. 2019; 33(9):657-670. DOI: 10.1007/s12149-019-01380-7. View

13.

Lee A, Ng W, Chan L, Hung W, Chan C, Sze H . Evolution of treatment for nasopharyngeal cancer--success and setback in the intensity-modulated radiotherapy era. Radiother Oncol. 2014; 110(3):377-84. DOI: 10.1016/j.radonc.2014.02.003. View

14.

Chen Y, Chan A, Le Q, Blanchard P, Sun Y, Ma J . Nasopharyngeal carcinoma. Lancet. 2019; 394(10192):64-80. DOI: 10.1016/S0140-6736(19)30956-0. View

15.

Horng M, Sun Y, Lin X . Texture feature coding method for classification of liver sonography. Comput Med Imaging Graph. 2001; 26(1):33-42. DOI: 10.1016/s0895-6111(01)00029-5. View

16.

Guezennec C, Robin P, Orlhac F, Bourhis D, Delcroix O, Gobel Y . Prognostic value of textural indices extracted from pretherapeutic 18-F FDG-PET/CT in head and neck squamous cell carcinoma. Head Neck. 2018; 41(2):495-502. DOI: 10.1002/hed.25433. View

17.

Guo L, Du S, Gao S, Zhao R, Huang G, Jin F . Delta-Radiomics Based on Dynamic Contrast-Enhanced MRI Predicts Pathologic Complete Response in Breast Cancer Patients Treated with Neoadjuvant Chemotherapy. Cancers (Basel). 2022; 14(14). PMC: 9316501. DOI: 10.3390/cancers14143515. View

18.

Dagogo-Jack I, Shaw A . Tumour heterogeneity and resistance to cancer therapies. Nat Rev Clin Oncol. 2017; 15(2):81-94. DOI: 10.1038/nrclinonc.2017.166. View

19.

Yoon H, Ha S, Kwon S, Park S, Kim J, O J . Prognostic value of tumor metabolic imaging phenotype by FDG PET radiomics in HNSCC. Ann Nucl Med. 2021; 35(3):370-377. DOI: 10.1007/s12149-021-01586-8. View

20.

Sun X, Li X, Chen Q, Tang L, Mai H . Future of Radiotherapy in Nasopharyngeal Carcinoma. Br J Radiol. 2019; 92(1102):20190209. PMC: 6774595. DOI: 10.1259/bjr.20190209. View