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:: Volume 22, Issue 2 (4-2024) ::
Int J Radiat Res 2024, 22(2): 373-378 Back to browse issues page
Establishment of nomogram prediction model for distant metastasis of nasopharyngeal carcinoma after radiotherapy
Y. Fan , M. Hui , F. Li , Y. Chen , J. Liu , C. Huang
Department of ENT, Affiliated Hospital Of Guangdong Medical University, Zhenjiang, 524001, China , Huiminglang@126.com
Abstract:   (434 Views)
Background: The research aims to construct a nomograph model for predicting distant metastasis of nasopharyngeal carcinoma after radiotherapy, and to evaluate the differentiation and consistency of the model. Materials and Methods: 292 nasopharyngeal carcinoma patients are selected and broken into a modeling group (204 cases) and a validation group (88 cases). The modeling group patients are further divided into a distant metastasis group (n=45) and a non-distant metastasis group (n=159). Logistic regression analysis is used to analyze the risk factors for distant metastasis of nasopharyngeal carcinoma after radiotherapy. Radiation therapy is performed on each group of patients and their lactate dehydrogenase, serum albumin, carcinoembryonic antigen are compared. Results: The proportion of age ≥ 60 years old, lymph node cystic invasion, laryngeal lymph node metastasis, T3-T4 staging, and N2-N3 staging in the distant metastasis group were higher than those in the non-distant metastasis group (P<0.05). Multiple logistic regression analysis denoted that age ≥ 60 years old, lymph node cystic invasion, laryngeal lymph node metastasis, T3-T4 stage, N2-N3 stage were risk factors for distant metastasis of nasopharyngeal carcinoma after radiotherapy (P<0.05). The Hosmer Limeshow goodness of fit test showed that the modeling group 2=5.489, P=0.601; Validation group 2=5.231, P=0.733. The areas under the receiver operating characteristic curves of the modeling group and the validation group were 0.828 and 0.822, respectively. Conclusion: The model constructed in this study for forecasting the risk of distant metastasis of nasopharyngeal carcinoma after radiotherapy has high prediction accuracy, good consistency, differentiation, and clinical applicability.
Keywords: Nasopharyngeal carcinoma, radiotherapy, distant metastasis, nomogram, prediction model.
Full-Text [PDF 712 kb]   (116 Downloads)    
Type of Study: Original Research | Subject: Radiation Biology
References
1. Chen Y-P, Ismaila N, Chua MLK, et al. (2021) Chemotherapy in combination with radiotherapy for definitive-intent treatment of Stage II-IVA nasopharyngeal carcinoma: CSCO and ASCO Guideline. J Clin Oncol, 39(7): 840-59. [DOI:10.1200/JCO.20.03237]
2. Dwijayanti F, Prabawa A, Besral, Herawati C (2020) The five-year survival rate of patients with nasopharyngeal carcinoma based on tumor response after receiving neoadjuvant chemotherapy, followed by chemoradiation, in Indonesia: A Retrospective Study. Oncology, 98(3): 154-60. [DOI:10.1159/000504449]
3. Zhang L, Wu X, Liu J, et al. (2021) MRI-based deep-learning model for distant metastasis-free survival in locoregionally advanced nasopharyngeal carcinoma. J Magn Reson Imaging, 53(1): 167-78. [DOI:10.1002/jmri.27308]
4. Tang Q-N, Qiu H-Z, Sun X-Q, et al. (2021) Geriatric nutritional risk index as an independent prognostic factor in locally advanced nasopharyngeal carcinoma treated using radical concurrent chemoradiotherapy: a retrospective cohort study. Ann Transl Med, 9(7): 532. [DOI:10.21037/atm-20-6493]
5. Zeng W, Huang L, Lin H, et al. (2022) Development and validation of a nomogram for predicting postoperative distant metastasis in patients with cervical cancer. Med Sci Monit, 28: e933379. [DOI:10.12659/MSM.933379]
6. Lang J, Gao L, Guo Y, et al. (2014) Comprehensive treatment of squamous cell cancer of head and neck: Chinese expert consensus 2013. Future Oncol, 10(9): 1635-48. [DOI:10.2217/fon.14.44]
7. Edge SB and Compton CC (2010) The American joint committee on cancer: the 7th edition of the AJCC cancer staging manual and the future of TNM. Ann Surg Oncol, 17(6): 1471-4. [DOI:10.1245/s10434-010-0985-4]
8. Chang ET, Ye W, Zeng Y-X, Adami H-O (2021) The Evolving Epidemiology of Nasopharyngeal Carcinoma. Cancer Epidemiol Biomarkers Prev, 30(6): 1035-47. [DOI:10.1158/1055-9965.EPI-20-1702]
9. Chen Y-P, Chan ATC, Le Q-T, et al. (2019) Nasopharyngeal carcinoma. Lancet, 394(10192): 64-80. [DOI:10.1016/S0140-6736(19)30956-0]
10. Hung T-M, Fan K-H, Kang C-J, et al. (2020) Lymph node-to-primary tumor standardized uptake value ratio on PET predicts distant metastasis in nasopharyngeal carcinoma. Oral Oncol, 110: 104756. [DOI:10.1016/j.oraloncology.2020.104756]
11. Lee AWM, Ng WT, Chan JYW, et al. (2019) Management of locally recurrent nasopharyngeal carcinoma. Cancer Treat Rev, 79: 101890. [DOI:10.1016/j.ctrv.2019.101890]
12. Pfister DG, Spencer S, Adelstein D, et al. (2020) Head and neck cancers, version 2.2020, NCCN clinical practice guidelines in oncology. J Natl Compr Canc Netw, 18(7): 873-98.
13. Jiang Y, Qu S, Pan X, et al. (2020) Prognostic nomogram for locoregionally advanced nasopharyngeal carcinoma. Sci Rep, 10(1): 861. [DOI:10.1038/s41598-020-57968-x]
14. Liu Y-C, Wang W-Y, Twu C-W, et al. (2017) Prognostic impact of adjuvant chemotherapy in high-risk nasopharyngeal carcinoma patients. Oral Oncol, 64: 15-21. [DOI:10.1016/j.oraloncology.2016.11.008]
15. Liu S-L, Sun X-S, Li X-Y, et al. (2019) The diagnostic and prognostic values of plasma Epstein-Barr virus DNA for residual cervical lymphadenopathy in nasopharyngeal carcinoma patients: a retrospective study. Cancer Commun (Lond), 39(1): 14. [DOI:10.1186/s40880-019-0357-9]
16. Lu Z-J, Liu L-T, Sun X-S, et al. (2021) Establishment and validation of a prognostic nomogram to predict early metastasis in nasopharyngeal carcinoma patients within six months after radiotherapy and to guide intensive treatment. Radiother Oncol 162: 202-11. [DOI:10.1016/j.radonc.2021.03.035]
17. Yeung DCM, Yeung Z, Wong EWY, et al. (2020) Neck lymph node status on survival of regionally recurrent or persistent nasopharyngeal carcinoma. Sci Rep, 10(1): 5622. [DOI:10.1038/s41598-020-62625-4]
18. Zhong L, Dong D, Fang X, et al. (2021) A deep learning-based radiomic nomogram for prognosis and treatment decision in advanced nasopharyngeal carcinoma: A multicentre study. EBioMedicine, 70:103522. [DOI:10.1016/j.ebiom.2021.103522]
19. Pan X-B, Huang S-T, Qu S, et al. (2021) Retropharyngeal lymph node metastasis on N stage of nasopharyngeal carcinoma. PLoS One, 16(6): e0253424. [DOI:10.1371/journal.pone.0253424]
20. Peng H, Chen L, Mao Y-P, et al. (2021) Nomogram-aided individual induction chemotherapy regimen selection in advanced nasopharyngeal carcinoma. Oral Oncol, 122: 105555. [DOI:10.1016/j.oraloncology.2021.105555]
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Fan Y, Hui M, Li F, Chen Y, Liu J, Huang C. Establishment of nomogram prediction model for distant metastasis of nasopharyngeal carcinoma after radiotherapy. Int J Radiat Res 2024; 22 (2) :373-378
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Volume 22, Issue 2 (4-2024) Back to browse issues page
International Journal of Radiation Research
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