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AJNR Awards, New Junior Editors, and more. Read the latest AJNR updates

Research ArticleHEAD AND NECK IMAGING

Deep Invasion Volume of the Primary Nasopharyngeal Carcinoma Predicts Treatment Outcome

Qi Yong H. Ai, Ho Sang Leung, Frankie K.F. Mo, Lun M. Wong, Linfang Lan, Edwin P. Hui, Brigette B.Y. Ma and Ann D. King
American Journal of Neuroradiology June 2025, DOI: https://doi.org/10.3174/ajnr.A8678
Qi Yong H. Ai
aFrom the Department of Health Technology and Informatics (Q.Y.H.A., L.L.), The Hong Kong Polytechnic University, Kowloon, Hong Kong S.A.R., China
bDepartment of Imaging and Interventional Radiology (Q.Y.H.A., H.S.L., L.M.W., A.D.K.), The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong S.A.R., China
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Ho Sang Leung
bDepartment of Imaging and Interventional Radiology (Q.Y.H.A., H.S.L., L.M.W., A.D.K.), The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong S.A.R., China
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Frankie K.F. Mo
cDepartment of Clinical Oncology, State Key Laboratory of Translational Oncology, Sir Y.K. Pao Centre for Cancer (F.K.F.M., E.P.H., B.B.Y.M.), The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong S.A.R., China
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Lun M. Wong
bDepartment of Imaging and Interventional Radiology (Q.Y.H.A., H.S.L., L.M.W., A.D.K.), The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong S.A.R., China
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Linfang Lan
aFrom the Department of Health Technology and Informatics (Q.Y.H.A., L.L.), The Hong Kong Polytechnic University, Kowloon, Hong Kong S.A.R., China
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Edwin P. Hui
cDepartment of Clinical Oncology, State Key Laboratory of Translational Oncology, Sir Y.K. Pao Centre for Cancer (F.K.F.M., E.P.H., B.B.Y.M.), The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong S.A.R., China
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Brigette B.Y. Ma
cDepartment of Clinical Oncology, State Key Laboratory of Translational Oncology, Sir Y.K. Pao Centre for Cancer (F.K.F.M., E.P.H., B.B.Y.M.), The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong S.A.R., China
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Ann D. King
bDepartment of Imaging and Interventional Radiology (Q.Y.H.A., H.S.L., L.M.W., A.D.K.), The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong S.A.R., China
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References

  1. 1.↵
    1. Ebrahimi A,
    2. Gil Z,
    3. Amit M, et al
    ; International Consortium for Outcome Research (ICOR) in Head and Neck Cancer. Primary tumor staging for oral cancer and a proposed modification incorporating depth of invasion: an international multicenter retrospective study. JAMA Otolaryngol Head Neck Surg 2014;140:1138–48 doi:10.1001/jamaoto.2014.1548 pmid:25075712
    CrossRefPubMed
  2. 2.↵
    1. Kuan EC,
    2. Clair JMS,
    3. Badran KW, et al
    . How does depth of invasion influence the decision to do a neck dissection in clinically N0 oral cavity cancer? Laryngoscope 2016;126:547–48 doi:10.1002/lary.25707 pmid:26666561
    CrossRefPubMed
  3. 3.↵
    1. Aaboubout Y,
    2. van der Toom QM,
    3. de Ridder MAJ, et al
    . Is the depth of invasion a marker for elective neck dissection in early oral squamous cell carcinoma? Front Oncol 2021;11:628320 doi:10.3389/fonc.2021.628320 pmid:33777774
    CrossRefPubMed
  4. 4.↵
    1. Amin MB,
    2. Edge SB,
    3. Greene FL, et al.
    , eds. AJCC Cancer Staging Manual. 8th ed. Springer-Verlag; 2017.
  5. 5.↵
    1. Lydiatt WM,
    2. Patel SG,
    3. O’Sullivan B, et al
    . Head and neck cancers—major changes in the American Joint Committee on cancer eighth edition cancer staging manual. CA Cancer J Clin 2017;67:122–37 doi:10.3322/caac.21389 pmid:28128848
    CrossRefPubMed
  6. 6.↵
    1. Lee MK,
    2. Choi Y
    . Correlation between radiologic depth of invasion and pathologic depth of invasion in oral cavity squamous cell carcinoma: a systematic review and meta-analysis. Oral Oncol 2023;136:106249 doi:10.1016/j.oraloncology.2022.106249 pmid:36417807
    CrossRefPubMed
  7. 7.↵
    1. King AD,
    2. Zee B,
    3. Yuen EHY, et al
    . Nasopharyngeal cancers: which method should be used to measure these irregularly shaped tumors on cross-sectional imaging? Int J Radiat Oncol Biol Phys 2007;69:148–54 doi:10.1016/j.ijrobp.2007.02.032 pmid:17513065
    CrossRefPubMed
  8. 8.↵
    1. Wong LM,
    2. Ai QYH,
    3. Poon DMC, et al
    . A convolutional neural network combined with positional and textural attention for the fully automatic delineation of primary nasopharyngeal carcinoma on non-contrast-enhanced MRI. Quant Imaging Med Surg 2021;11:3932–44 doi:10.21037/qims-21-196 pmid:34476179
    CrossRefPubMed
  9. 9.↵
    1. Wong LM,
    2. Ai QYH,
    3. Mo FKF, et al
    . Convolutional neural network in nasopharyngeal carcinoma: how good is automatic delineation for primary tumor on a non-contrast-enhanced fat-suppressed T2-weighted MRI? Jpn J Radiology 2021;39:571–79 doi:10.1007/s11604-021-01092-x pmid:33544302
    CrossRefPubMed
  10. 10.↵
    1. Ke L,
    2. Deng Y,
    3. Xia W, et al
    . Development of a self-constrained 3D DenseNet model in automatic detection and segmentation of nasopharyngeal carcinoma using magnetic resonance images. Oral Oncol 2020;110:104862 doi:10.1016/j.oraloncology.2020.104862 pmid:32615440
    CrossRefPubMed
  11. 11.↵
    1. Wang Y,
    2. Chen H,
    3. Lin J, et al
    . Automatic detection and recognition of nasopharynx gross tumour volume (GTVnx) by deep learning for nasopharyngeal cancer radiotherapy through magnetic resonance imaging. Radiat Oncol 2023;18:76 doi:10.1186/s13014-023-02260-1 pmid:37158943
    CrossRefPubMed
  12. 12.↵
    1. Ng WT,
    2. But B,
    3. Choi HCW, et al
    . Application of artificial intelligence for nasopharyngeal carcinoma management – a systematic review. Cancer Manag Res 2022;14:339–66 doi:10.2147/CMAR.S341583 pmid:35115832
    CrossRefPubMed
  13. 13.↵
    1. King AD,
    2. Ahuja AT,
    3. Leung SF, et al
    . Neck node metastases from nasopharyngeal carcinoma: MR imaging of patterns of disease. Head Neck 2000;22:275–81 doi:10.1002/(SICI)1097-0347(200005)22:3<275::AID-HED10>3.0.CO;2-N pmid:10748451
    CrossRefPubMedWeb of Science
  14. 14.↵
    1. van den Brekel M,
    2. Stel H,
    3. Castelijns J, et al
    . Cervical lymph node metastasis: assessment of radiologic criteria. Radiology 1990;177:379–84 doi:10.1148/radiology.177.2.2217772 pmid:2217772
    CrossRefPubMedWeb of Science
  15. 15.↵
    1. Brierley J,
    2. Gospodarowiez M,
    3. Wittekind C
    , eds. UICC TNM Classification of Malignant Tumours. 8th ed. Wiley-Blackwell Publishing Ltd; 2017:15
  16. 16.↵
    1. Harrell FE,
    2. Lee KL,
    3. Mark DB
    . Tutorial in biostatistics multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors. Statist Med 1996;15:361–87 doi:10.1002/(SICI)1097-0258(19960229)15:4<361::AID-SIM168>3.0.CO;2-4
    CrossRef
  17. 17.↵
    1. Uno H,
    2. Cai T,
    3. Pencina MJ, et al
    . On the C-statistics for evaluating overall adequacy of risk prediction procedures with censored survival data. Stat Med 2011;30:1105–17 doi:10.1002/sim.4154 pmid:21484848
    CrossRefPubMed
  18. 18.↵
    1. Correa AF,
    2. Jegede O,
    3. Haas NB, et al
    . Predicting renal cancer recurrence: defining limitations of existing prognostic models with prospective trial-based validation. J Clin Oncol 2019;37:2062–71 doi:10.1200/JCO.19.00107 pmid:31216227
    CrossRefPubMed
  19. 19.↵
    1. Moons KGM,
    2. Altman DG,
    3. Reitsma JB, et al
    . Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): explanation and elaboration. Ann Intern Med 2015;162:W1–73 doi:10.7326/M14-0698 pmid:25560730
    CrossRefPubMed
  20. 20.↵
    1. Sandu K,
    2. Nisa L,
    3. Monnier P, et al
    . Clinicobiological progression and prognosis of oral squamous cell carcinoma in relation to the tumor invasive front: impact on prognosis. Acta Otolaryngol 2014;134:416–24 doi:10.3109/00016489.2013.849818 pmid:24628337
    CrossRefPubMed
  21. 21.↵
    1. Jimenez L,
    2. Jayakar SK,
    3. Ow TJ, et al
    . Mechanisms of invasion in head and neck cancer. Arch Pathol Lab Med 2015;139:1334–48 doi:10.5858/arpa.2014-0498-RA pmid:26046491
    CrossRefPubMed
  22. 22.↵
    1. O-Charoenrat P,
    2. Wongkajornsilp A,
    3. Rhys-Evans PH, et al
    . Signaling pathways required for matrix metalloproteinase-9 induction by betacellulin in head-and-neck squamous carcinoma cells. Int J Cancer 2004;111:174–83 doi:10.1002/ijc.20228 pmid:15197768
    CrossRefPubMedWeb of Science
  23. 23.↵
    1. Curry JM,
    2. Sprandio J,
    3. Cognetti D, et al
    . Tumor microenvironment in head and neck squamous cell carcinoma. Semin Oncol 2014;41:217–34 doi:10.1053/j.seminoncol.2014.03.003 pmid:24787294
    CrossRefPubMed
  24. 24.↵
    1. Feng AC,
    2. Wu MC,
    3. Tsai SYC, et al
    . Prevertebral muscle involvement in nasopharyngeal carcinoma. Int J Radiat Oncol Biol Phys 2006;65:1026–35 doi:10.1016/j.ijrobp.2006.02.012 pmid:16682150
    CrossRefPubMed
  25. 25.↵
    1. Ai QY,
    2. Hu CW,
    3. Bhatia KS, et al
    . Nasopharyngeal carcinoma: relationship between invasion of the prevertebral space and distant metastases. Eur Arch Otorhinolaryngol 2018;275:497–505 doi:10.1007/s00405-017-4825-z pmid:29188437
    CrossRefPubMed
  26. 26.↵
    1. Cheng Y-K,
    2. Liu L-Z,
    3. Jiang N, et al
    . MRI-detected skull-base invasion: prognostic value and therapeutic implication in intensity-modulated radiotherapy treatment for nasopharyngeal carcinoma. Strahlenther Onkol 2014;190:905–11 doi:10.1007/s00066-014-0656-7 pmid:24763663
    CrossRefPubMed
  27. 27.↵
    1. Chen L,
    2. Liu L,
    3. Mao Y, et al
    . Grading of MRI-detected skull-base invasion in nasopharyngeal carcinoma and its prognostic value. Head Neck 2011;33:1309–14 doi:10.1002/hed.21606 pmid:21837701
    CrossRefPubMed
  28. 28.↵
    1. Chen F-P,
    2. Zhou G-Q,
    3. Qi Z-Y, et al
    . Prognostic value of cervical nodal tumor volume in nasopharyngeal carcinoma: analysis of 1230 patients with positive cervical nodal metastasis. PLoS One 2017;12:e0176995 doi:10.1371/journal.pone.0176995 pmid:28489930
    CrossRefPubMed
  29. 29.↵
    1. Yuan H,
    2. Ai QY,
    3. Kwong DLW, et al
    . Cervical nodal volume for prognostication and risk stratification of patients with nasopharyngeal carcinoma, and implications on the TNM-staging system. Sci Rep 2017;7:10387 doi:10.1038/s41598-017-10423-w pmid:28871162
    CrossRefPubMed
  30. 30.↵
    1. Ai Q-Y,
    2. King AD,
    3. Mo FKF, et al
    . Prediction of distant metastases from nasopharyngeal carcinoma: improved diagnostic performance of MRI using nodal volume in N1 and N2 stage disease. Oral Oncol 2017;69:74–79 doi:10.1016/j.oraloncology.2017.04.008 pmid:28559024
    CrossRefPubMed
  31. 31.↵
    1. Miyoshi M,
    2. Ueno H,
    3. Hashiguchi Y, et al
    . Extent of mesorectal tumor invasion as a prognostic factor after curative surgery for T3 rectal cancer patients. Ann Surg 2006;243:492–98 doi:10.1097/01.sla.0000205627.05769.08 pmid:16552200
    CrossRefPubMed
  32. 32.↵
    1. Mukoyama N,
    2. Suzuki H,
    3. Hanai N, et al
    . Pathological tumor volume predicts survival outcomes in oral squamous cell carcinoma. Oncol Lett 2018;16:2471–77 doi:10.3892/ol.2018.8951 pmid:30013639
    CrossRefPubMed
  33. 33.↵
    1. Chen C,
    2. Fei Z,
    3. Pan J, et al
    . Significance of primary tumor volume and T-stage on prognosis in nasopharyngeal carcinoma treated with intensity-modulated radiation therapy. Jpn J Clin Oncol 2011;41:537–42 doi:10.1093/jjco/hyq242 pmid:21242183
    CrossRefPubMed
  34. 34.↵
    1. Lee C,
    2. Huang T,
    3. Lee M, et al
    . Clinical application of tumor volume in advanced nasopharyngeal carcinoma to predict outcome. Radiat Oncol 2010;5:2–7 doi:10.1186/1748-717X-5-20
    CrossRefPubMed
  35. 35.↵
    1. Tian Y-M,
    2. Xiao W-W,
    3. Bai L, et al
    . Impact of primary tumor volume and location on the prognosis of patients with locally recurrent nasopharyngeal carcinoma. Chin J Cancer 2015;34:247–53 doi:10.1186/s40880-015-0019-5 pmid:26063113
    CrossRefPubMed
  36. 36.↵
    1. Qin L,
    2. Wu F,
    3. Lu H, et al
    . Tumor volume predicts survival rate of advanced nasopharyngeal carcinoma treated with concurrent chemoradiotherapy. Otolaryngol Head Neck Surg 2016;155:598–605 doi:10.1177/0194599816644408 pmid:27071443
    CrossRefPubMed
  37. 37.↵
    1. Lee AWM,
    2. Foo W,
    3. Law SCK, et al
    . Recurrent nasopharyngeal carcinoma: the puzzles of long latency. Int J Radiat Oncol Biol Phys 1999;44:149–56 doi:10.1016/s0360-3016(98)00524-0 pmid:10219808
    CrossRefPubMed
  38. 38.↵
    1. Wong ECY,
    2. Hung JLC,
    3. Ng WT
    . Potential pitfalls in incorporating plasma Epstein-Barr virus DNA in the management of nasopharyngeal carcinoma. Head Neck 2020;42:446–55 doi:10.1002/hed.26018 pmid:31778007
    CrossRefPubMed
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Cite this article
Qi Yong H. Ai, Ho Sang Leung, Frankie K.F. Mo, Lun M. Wong, Linfang Lan, Edwin P. Hui, Brigette B.Y. Ma, Ann D. King
Deep Invasion Volume of the Primary Nasopharyngeal Carcinoma Predicts Treatment Outcome
American Journal of Neuroradiology Jun 2025, DOI: 10.3174/ajnr.A8678

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DIVr of NPC Predicted Outcome
Qi Yong H. Ai, Ho Sang Leung, Frankie K.F. Mo, Lun M. Wong, Linfang Lan, Edwin P. Hui, Brigette B.Y. Ma, Ann D. King
American Journal of Neuroradiology Jun 2025, DOI: 10.3174/ajnr.A8678
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