nach oben

Erschienen in:

14.07.2022 | Original Article

Pretreatment [¹⁸F]FDG PET/CT and MRI in the prognosis of nasopharyngeal carcinoma

verfasst von: Amina Gihbid, Ghofrane Cherkaoui Salhi, Imane El Alami, Hasnaa Belgadir, Nezha Tawfiq, Karima Bendahou, Mohammed El Mzibri, Rachida Cadi, Naima El Benna, Amal Guensi, Meriem Khyatti

Erschienen in: Annals of Nuclear Medicine | Ausgabe 10/2022

Einloggen, um Zugang zu erhalten

Abstract

Objective

The present study aimed to assess the prognostic interest of metabolic and anatomic parameters derived from 2-deoxy-2-[¹⁸F]fluoro-d-glucose positron emission tomography/computed tomography ([¹⁸F]FDG PET/CT) and head and neck magnetic resonance imaging (HN-MRI) for better management of nasopharyngeal carcinoma (NPC).

Methods

In this study, pre-treatment [¹⁸F]FDG PET/CT and HN-MRI parameters of NPC patients diagnosed between January 2017 and December 2018, were prospectively investigated. Correlation between those parameters and 4-year patient’s survival outcomes was evaluated using Kaplan–Meier and Cox-regression analyses.

Results

Our results revealed a significant association between pre-treatment nodal-maximum standardized uptake value (N-SUV max) and N categories (p = 0.01), between pre-treatment node-to-tumor SUV ratio (NTR) and both tumor size (p = 0.01) and N categories (p = 0.009), as well as between metabolic tumor volume (MTV) and both tumor size and NPC overall stage (p < 0.000). In multivariate analyses, pre-treatment N-SUV max, NTR and MTV were significant independent predictors of overall survival, distant metastasis-free survival, and progression-free survival (PFS) (p < 0.05). N-SUV max and MTV were also found to be significant independent predictors of loco-regional recurrence-free survival (p < 0.05), whereas HN-MRI detection of skull-base bone invasion was an independent factor associated with worse PFS in NPC (p = 0.03).

Conclusions

The present study highlights N-SUV max, NTR and MTV derived from [¹⁸F]FDG PET/CT, and skull-base bone invasion defined by HN-MRI, as promising metabolic and anatomic prognosis biomarkers for NPC.

Nur mit Berechtigung zugänglich

Chua MLK, Wee JTS, Hui EP, Chan ATC. Nasopharyngeal carcinoma. Lancet. 2016;387:1012–24.PubMed

Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, et al. Global Cancer Statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2021;71:209–49.PubMed

Benider A, Harif M, Karkouri M, Quessar A, Sahraoui S, Sqalli S. Registre des Cancers de la Région du Grand Casablanca 2008–2012. [cited 2021 May 26]. https://www.contrelecancer.ma/fr/documents/registre-des-cancers-de-la-region-du-grand-casab-3/

Lo KW, To KF, Huang DP. Focus on nasopharyngeal carcinoma. Cancer Cell. 2004;5:423–8.PubMed

Wang KH, Austin SA, Chen SH, Sonne DC, Gurushanthaiah D. Nasopharyngeal carcinoma diagnostic challenge in a nonendemic setting: our experience with 101 patients. Perm. J. 2017;21:16–180

Lee AWM, Sze WM, Au JSK, Leung SF, Leung TW, Chua DTT, et al. Treatment results for nasopharyngeal carcinoma in the modern era: The Hong Kong experience. Int J Radiat Oncol Biol Phys. 2005;61:1107–16.PubMed

Yu E, O’Sullivan B, Kim J, Siu L, Bartlett E. Magnetic resonance imaging of nasopharyngeal carcinoma. Expert Rev Anticancer Ther. 2010;10:365–75.PubMed

Bossi P, Chan AT, Licitra L, Trama A, Orlandi E, Hui EP, et al. Nasopharyngeal carcinoma: ESMO-EURACAN Clinical Practice Guidelines for diagnosis, treatment and follow-up†. Ann Oncol. 2021;32:452–65.PubMed

Liang S-B, Sun Y, Liu L-Z, Chen Y, Chen L, Mao Y-P, et al. Extension of local disease in nasopharyngeal carcinoma detected by magnetic resonance imaging: improvement of clinical target volume delineation. Int J Radiat Oncol Biol Phys. 2009;75:742–50.PubMed

10.

Xie C, Liang B, Lin H, Wu P. Influence of MRI on the T, N staging system of nasopharyngeal carcinoma. Zhonghua Zhong Liu Za Zhi. 2002;24:181–4.PubMed

11.

Chen Y-K, Cheng R-H, Chi K-H, Liang J-G, Wang S-C, Shen Y-Y, et al. Application of 18F-FDG PET/CT in nasopharyngeal carcinoma. Ann Nucl Med Sci. 2007;20:12.

12.

Su Y, Zhao C, Xie C-M, Lu L-X, Sun Y, Han F, et al. Evaluation of CT, MRI and PET-CT in detecting retropharyngeal lymph node metastasis in nasopharyngeal carcinoma. Ai Zheng. 2006;25:521–5.PubMed

13.

Ng S-H, Chan S-C, Yen T-C, Chang JT-C, Liao C-T, Ko S-F, et al. Staging of untreated nasopharyngeal carcinoma with PET/CT: comparison with conventional imaging work-up. Eur J Nucl Med Mol Imaging. 2009;36:12–22.PubMed

14.

Lai V, Khong PL. Updates on MR imaging and ¹⁸F-FDG PET/CT imaging in nasopharyngeal carcinoma. Oral Oncol. 2014;50:539–48.PubMed

15.

Zhou H, Shen G, Zhang W, Cai H, Zhou Y, Li L. 18F-FDG PET/CT for the diagnosis of residual or recurrent nasopharyngeal carcinoma after radiotherapy: a metaanalysis. J Nucl Med. 2016;57:342–7.PubMed

16.

Mohandas A, Marcus C, Kang H, Truong M-T, Subramaniam RM. FDG PET/CT in the management of nasopharyngeal carcinoma. Am J Roentgenol. 2014;203:W146–57.

17.

Lin J, Xie G, Liao G, Wang B, Yan M, Li H, et al. Prognostic value of 18F-FDG-PET/CT in patients with nasopharyngeal carcinoma: a systematic review and meta-analysis. Oncotarget. 2017;8:33884–96.PubMed

18.

Zhang G-Y, Huang Y, Hu X-F, Chen X-P, Xu T, Liu L-Z, et al. Prognostic value of classifying parapharyngeal extension in nasopharyngeal carcinoma based on magnetic resonance imaging. BioMed Res Int. 2015;2015: e749515.

19.

Zhou G, Mao Y-P, Chen L, Li W-F, Liu L-Z, Sun Y, et al. Prognostic value of prevertebral space involvement in nasopharyngeal carcinoma based on intensity-modulated radiotherapy. Int J Radiat Oncol Biol Phys. 2012;82:1090–7.PubMed

20.

Ng WT, Chan SH, Lee AWM, Lau KY, Yau TK, Hung WM, et al. Parapharyngeal extension of nasopharyngeal carcinoma: still a significant factor in era of modern radiotherapy? Int J Radiat Oncol Biol Phys. 2008;72:1082–9.PubMed

21.

Chong VFH, Zhou J-Y, Khoo JBK, Chan K-L, Huang J. Correlation between MR imaging-derived nasopharyngeal carcinoma tumor volume and TNM system. Int J Radiat Oncol Biol Phys. 2006;64:72–6.PubMed

22.

Fei Z, Chen C, Huang Y, Qiu X, Li Y, Li L, et al. Metabolic tumor volume and conformal radiotherapy based on prognostic PET/CT for treatment of nasopharyngeal carcinoma. Medicine (Baltimore). 2019;98: e16327.

23.

Allal AS, Dulguerov P, Allaoua M, Haenggeli C-A, El Ghazi EA, Lehmann W, et al. Standardized uptake value of 2-[18F] fluoro-2-deoxy-d-glucose in predicting outcome in head and neck carcinomas treated by radiotherapy with or without chemotherapy. JCO Am Soc Clin Oncol. 2002;20:1398–404.

24.

Xie P, Yue J-B, Fu Z, Feng R, Yu J-M. Prognostic value of 18F-FDG PET/CT before and after radiotherapy for locally advanced nasopharyngeal carcinoma. Ann Oncol. 2010;21:1078–82.PubMed

25.

Lin P, Min M, Lee M, Holloway L, Forstner D, Bray V, et al. Prognostic utility of (18)F-FDG PET-CT performed prior to and during primary radiotherapy for nasopharyngeal carcinoma: index node is a useful prognostic imaging biomarker site. Radiother Oncol. 2016;120:87–91.PubMed

26.

Soret M, Bacharach SL, Buvat I. Partial-volume effect in PET tumor imaging. J Nucl Med Soc Nucl Med. 2007;48:932–45.

27.

Türkölmez Ş, Aksoy SY, Özdemir E, Kandemir Z, Yıldırım N, Özsavran AY, et al. Prognostic significance of standardized uptake value on 18Fluorine-fluorodeoxyglucose positron emission tomography/computed tomography in patients with nasopharyngeal carcinoma. World J Nucl Med. 2017;16:33–8.PubMedPubMedCentral

28.

Jeong Y, Baek S, Park JW, Joo JH, Kim JS, Lee S-W. Lymph node standardized uptake values at pre-treatment 18F-fluorodeoxyglucose positron emission tomography as a valuable prognostic factor for distant metastasis in nasopharyngeal carcinoma. Br J Radiol. 2017;90:20160239.PubMedPubMedCentral

29.

John C, Venkatasai J, Kondaveeti SS, Murali A, Periakaruppan G, et al. Prognostic significance of metabolic tumour volume and maximum standard uptake value of fluor-18-fluorodeoxyglucose positron emission tomography with computed tomography in nasopharyngeal carcinoma. Contemp Oncol (Pozn). 2021;25:153–9.PubMedPubMedCentral

30.

Chen W-H, Tang L-Q, Zhang L, Chen Q-Y, Guo S-S, Liu L-T, et al. Combining plasma Epstein–Barr virus DNA and nodal maximal standard uptake values of 18F-fluoro-2-deoxy-d-glucose positron emission tomography improved prognostic stratification to predict distant metastasis for locoregionally advanced nasopharyngeal carcinoma. Oncotarget. 2015;6:38296–307.PubMedPubMedCentral

31.

Chung HH, Cheon GJ, Kim J-W, Park N-H, Song YS. Prognostic importance of lymph node-to-primary tumor standardized uptake value ratio in invasive squamous cell carcinoma of uterine cervix. Eur J Nucl Med Mol Imaging. 2017;44:1862–9.PubMed

32.

Cirak K. Are ratio of lymph node to primary focus SUV-max and PET/CT 18FDG standard uptake value of lymph nodes meaningful in staging non-small cell lung cancer? UHOD. 2011;21:217–22.

33.

Chen P-J, Yap W-K, Chang Y-C, Tseng C-K, Chao Y-K, Hsieh JC-H, et al. Prognostic value of lymph node to primary tumor standardized uptake value ratio in unresectable esophageal cancer. BMC Cancer. 2020;20:1–9.

34.

Hung T-M, Fan K-H, Kang C-J, Huang S-F, Lin C-Y, Ho AT-Y, et al. Lymph node-to-primary tumor standardized uptake value ratio on PET predicts distant metastasis in nasopharyngeal carcinoma. Oral Oncol. 2020;110:104756.PubMed

35.

Yi-Liang Shen E, Hung T-M, Tsan D-L, Cheng N-M, Kang C-J, Huang S-F, et al. Utilization of the lymph node-to-primary tumor ratio of PET standardized uptake value and circulating epstein–barr virus DNA to predict distant metastasis in nasopharyngeal carcinoma. Radiotherapy and Oncology. 2022;11:S0167-8140(22)00240–7

36.

Li Q, Zhang J, Cheng W, Zhu C, Chen L, Xia F, et al. Prognostic value of maximum standard uptake value, metabolic tumor volume, and total lesion glycolysis of positron emission tomography/computed tomography in patients with nasopharyngeal carcinoma. Medicine (Baltimore). 2017;96: e8084.

37.

Xie P, Yue J-B, Zhao H-X, Sun X-D, Kong L, Fu Z, et al. Prognostic value of 18F-FDG PET-CT metabolic index for nasopharyngeal carcinoma. J Cancer Res Clin Oncol. 2010;136:883–9.PubMed

38.

39.

Feng Y, Cao C, Hu Q, Chen X. Grading of MRI-detected skull-base invasion in nasopharyngeal carcinoma with skull-base invasion after intensity-modulated radiotherapy. Radiat Oncol. 2019;14:10.PubMedPubMedCentral

40.

Mo H-Y, Sun R, Sun J, Zhang Q, Huang W-J, Li Y-X, et al. Prognostic value of pretreatment and recovery duration of cranial nerve palsy in nasopharyngeal carcinoma. Radiat Oncol. 2012;7:149.PubMedPubMedCentral

41.

Huang W, Quan T, Zhao Q, Li S, Cai Y, Zhou J, et al. MRI of nasopharyngeal carcinoma: parapharyngeal subspace involvement has prognostic value and influences T-staging in the IMRT era. Eur Radiol. 2021;32:262–71.PubMed

42.

Tang L-L, Sun Y, Mao Y-P, Chen Y, Li W-F, Chen L, et al. Prognostic value of parapharyngeal extension in nasopharyngeal carcinoma treated with intensity modulated radiotherapy. Radiother Oncol. 2014;110:404–8.PubMed

43.

Nishioka T, Shirato H, Kagei K, Abe S, Hashimoto S, Ohmori K, et al. Skull-base invasion of nasopharyngeal carcinoma: magnetic resonance imaging findings and therapeutic implications. Int J Radiat Oncol Biol Phys. 2000;47:395–400.PubMed

44.

Li Q, Wang T, Huang Y, Li Q, Liu P, Grimm R, et al. Whole-tumor histogram and texture imaging features on magnetic resonance imaging combined with Epstein–Barr virus status to predict disease progression in patients with nasopharyngeal carcinoma. Front Oncol. 2021. https://doi.org/10.3389/fonc.2021.610804.CrossRefPubMedPubMedCentral

45.

Li H-J, Hu Y-Y, Huang L, Zhou J, Li J-J, Xie C-B, et al. Subclassification of skull-base invasion for nasopharyngeal carcinoma using cluster, network and survival analyses: a double-center retrospective investigation. Radiother Oncol. 2019;134:37–43.PubMed

46.

Becker M, Zaidi H. Imaging in head and neck squamous cell carcinoma: the potential role of PET/MRI. Br J Radiol. 2014;87:20130677.PubMedPubMedCentral

47.

Qin C, Liu F, Huang J, Ruan W, Liu Q, Gai Y, et al. A head-to-head comparison of 68Ga-DOTA-FAPI-04 and 18F-FDG PET/MR in patients with nasopharyngeal carcinoma: a prospective study. Eur J Nucl Med Mol Imaging. 2021;48:3228–37.PubMed

Titel: Pretreatment [18F]FDG PET/CT and MRI in the prognosis of nasopharyngeal carcinoma
verfasst von: Amina Gihbid
Ghofrane Cherkaoui Salhi
Imane El Alami
Hasnaa Belgadir
Nezha Tawfiq
Karima Bendahou
Mohammed El Mzibri
Rachida Cadi
Naima El Benna
Amal Guensi
Meriem Khyatti
Publikationsdatum: 14.07.2022
Verlag: Springer Nature Singapore
Erschienen in: Annals of Nuclear Medicine / Ausgabe 10/2022
Print ISSN: 0914-7187
Elektronische ISSN: 1864-6433
DOI: https://doi.org/10.1007/s12149-022-01770-4

Springer Medizin

Abstract

Objective

Methods

Results

Conclusions

Bitte loggen Sie sich ein, um Zugang zu diesem Inhalt zu erhalten

Weitere Artikel der Ausgabe 10/2022

Deep-learning prediction of amyloid deposition from early-phase amyloid positron emission tomography imaging

The feasibility of ultralow-activity 18F-FDG dynamic PET imaging in lung adenocarcinoma patients through total-body PET/CT scanner

Automated semi-quantitative amyloid PET analysis technique without MR images for Alzheimer’s disease

Radiological predictive factors on preoperative multimodality imaging are related to Oncotype DX recurrence score in estrogen-positive/human epidermal growth factor receptor 2-negative invasive breast cancer: a cross-sectional study

18F FDG-PET/CT analysis of spread through air spaces (STAS) in clinical stage I lung adenocarcinoma

Brain PET motion correction using 3D face-shape model: the first clinical study