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Figure.  Comparison of Pathologic Tumor Volume vs Pathologic T Stage in Outcome Prediction
Comparison of Pathologic Tumor Volume vs Pathologic T Stage in Outcome Prediction

DO indicates disease outcome; DSS, disease-specific survival; LR, local recurrence; LRR, locoregional recurrence; and OS, overall survival.

Table 1.  Descriptive Statistics of 159 Patients With Oropharyngeal Cancer Treated With Surgery With or Without Postoperative Radiotherapy
Descriptive Statistics of 159 Patients With Oropharyngeal Cancer Treated With Surgery With or Without Postoperative Radiotherapy
Table 2.  C-Index for pTV vs pT Stage
C-Index for pTV vs pT Stage
1.
Edge SB; American Joint Committee on Cancer. AJCC Cancer Staging Manual. 7th ed. New York, NY: Springer; 2010.
2.
Sobin LH, Gospodarowicz MK, Wittekind C; International Union Against Cancer. TNM Classification of Malignant Tumours. 7th ed. Chichester, England; Wiley-Blackwell; 2010.
3.
Kraas  JR, Underhill  TE, D’Agostino  RB  Jr, Williams  DW  III, Cox  JA, Greven  KM.  Quantitative analysis from CT is prognostic for local control of supraglottic carcinoma.  Head Neck. 2001;23(12):1031-1036.Google ScholarCrossref
4.
Hermans  R, Van den Bogaert  W, Rijnders  A, Doornaert  P, Baert  AL.  Predicting the local outcome of glottic squamous cell carcinoma after definitive radiation therapy: value of computed tomography–determined tumour parameters.  Radiother Oncol. 1999;50(1):39-46.Google ScholarCrossref
5.
Mancuso  AA, Mukherji  SK, Schmalfuss  I,  et al.  Preradiotherapy computed tomography as a predictor of local control in supraglottic carcinoma.  J Clin Oncol. 1999;17(2):631-637.Google Scholar
6.
Chen  SW, Yang  SN, Liang  JA, Tsai  MH, Shiau  AC, Lin  FJ.  Value of computed tomography–based tumor volume as a predictor of outcomes in hypopharyngeal cancer after treatment with definitive radiotherapy.  Laryngoscope. 2006;116(11):2012-2017.Google ScholarCrossref
7.
Pameijer  FA, Mancuso  AA, Mendenhall  WM,  et al.  Evaluation of pretreatment computed tomography as a predictor of local control in T1/T2 pyriform sinus carcinoma treated with definitive radiotherapy.  Head Neck. 1998;20(2):159-168.Google ScholarCrossref
8.
Chua  DT, Sham  JS, Kwong  DL,  et al.  Volumetric analysis of tumor extent in nasopharyngeal carcinoma and correlation with treatment outcome.  Int J Radiat Oncol Biol Phys. 1997;39(3):711-719.Google ScholarCrossref
9.
Mendenhall  WM, Morris  CG, Amdur  RJ, Hinerman  RW, Mancuso  AA.  Parameters that predict local control after definitive radiotherapy for squamous cell carcinoma of the head and neck.  Head Neck. 2003;25(7):535-542.Google ScholarCrossref
10.
Kurek  R, Kalogera-Fountzila  A, Muskalla  K,  et al.  Usefulness of tumor volumetry as a prognostic factor of survival in head and neck cancer.  Strahlenther Onkol. 2003;179(5):292-297.PubMedGoogle ScholarCrossref
11.
Keberle  M, Hoppe  F, Dotzel  S, Hahn  D.  Prognostic value of pretreatment CT regarding local control in oropharyngeal cancer after primary surgical resection [in German].  Rofo. 2003;175(1):61-66.PubMedGoogle ScholarCrossref
12.
Nathu  RM, Mancuso  AA, Zhu  TC, Mendenhall  WM.  The impact of primary tumor volume on local control for oropharyngeal squamous cell carcinoma treated with radiotherapy.  Head Neck. 2000;22(1):1-5.Google ScholarCrossref
13.
Been  MJ, Watkins  J, Manz  RM,  et al.  Tumor volume as a prognostic factor in oropharyngeal squamous cell carcinoma treated with primary radiotherapy.  Laryngoscope. 2008;118(8):1377-1382.Google ScholarCrossref
14.
Lok  BH, Setton  J, Caria  N,  et al.  Intensity-modulated radiation therapy in oropharyngeal carcinoma: effect of tumor volume on clinical outcomes.  Int J Radiat Oncol Biol Phys. 2012;82(5):1851-1857.Google ScholarCrossref
15.
Le Tourneau  C, Velten  M, Jung  GM, Bronner  G, Flesch  H, Borel  C.  Prognostic indicators for survival in head and neck squamous cell carcinomas: analysis of a series of 621 cases.  Head Neck. 2005;27(9):801-808.Google ScholarCrossref
16.
Chao  KS, Ozyigit  G, Blanco  AI,  et al.  Intensity-modulated radiation therapy for oropharyngeal carcinoma: impact of tumor volume.  Int J Radiat Oncol Biol Phys. 2004;59(1):43-50.Google ScholarCrossref
17.
Yuen  AP, Lam  KY, Wei  WI, Ho  CM, Chow  TL, Yuen  WF.  A comparison of the prognostic significance of tumor diameter, length, width, thickness, area, volume, and clinicopathological features of oral tongue carcinoma.  Am J Surg. 2000;180(2):139-143.Google ScholarCrossref
18.
Studer  G, Lutolf  UM, El-Bassiouni  M, Rousson  V, Glanzmann  C.  Volumetric staging (VS) is superior to TNM and AJCC staging in predicting outcome of head and neck cancer treated with IMRT.  Acta Oncol. 2007;46(3):386-394.Google ScholarCrossref
19.
Patel  SG, Lydiatt  WM.  Staging of head and neck cancers: is it time to change the balance between the ideal and the practical?  J Surg Oncol. 2008;97(8):653-657.PubMedGoogle ScholarCrossref
20.
Adelstein  DJ, Ridge  JA, Brizel  DM,  et al.  Transoral resection of pharyngeal cancer: summary of a National Cancer Institute Head and Neck Cancer Steering Committee Clinical Trials Planning Meeting, November 6-7, 2011, Arlington, Virginia.  Head Neck. 2012;34(12):1681-1703.PubMedGoogle ScholarCrossref
21.
Weinstein  GS, O’Malley  BW  Jr, Magnuson  JS,  et al.  Transoral robotic surgery: a multicenter study to assess feasibility, safety, and surgical margins.  Laryngoscope. 2012;122(8):1701-1707.PubMedGoogle ScholarCrossref
22.
Dahlstrom  KR, Calzada  G, Hanby  JD,  et al.  An evolution in demographics, treatment, and outcomes of oropharyngeal cancer at a major cancer center: a staging system in need of repair.  Cancer. 2013;119(1):81-89.PubMedGoogle ScholarCrossref
23.
Ang  KK, Harris  J, Wheeler  R,  et al.  Human papillomavirus and survival of patients with oropharyngeal cancer.  N Engl J Med. 2010;363(1):24-35.PubMedGoogle ScholarCrossref
24.
Mellin  H, Friesland  S, Lewensohn  R, Dalianis  T, Munck-Wikland  E.  Human papillomavirus (HPV) DNA in tonsillar cancer: clinical correlates, risk of relapse, and survival.  Int J Cancer. 2000;89(3):300-304.PubMedGoogle ScholarCrossref
Original Investigation
November 2013

Pathologically Determined Tumor Volume vs Pathologic T Stage in the Prediction of Outcome After Surgical Treatment of Oropharyngeal Squamous Cell Carcinoma

Author Affiliations
  • 1Department of Head and Neck Surgery, Memorial Sloan-Kettering Cancer Center, New York, New York
  • 2Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio
  • 3Department of Radiation Oncology, Memorial Sloan-Kettering Cancer Center, New York, New York
JAMA Otolaryngol Head Neck Surg. 2013;139(11):1151-1155. doi:10.1001/jamaoto.2013.4973
Abstract

Importance  Traditional prognostic models for squamous cell carcinoma of the head and neck are based on the TNM staging system. However, there is growing evidence that tumor volume (TV) may be a more accurate predictor of outcome.

Objective  To determine whether pathologic TV (pTV) in patients with oropharyngeal squamous cell carcinoma treated surgically is a more significant predictor of outcome compared with pathologic tumor (pT) stage.

Design, Setting, and Participants  Review of patients whose treatment was managed between January 1, 1985, and December 2005 at a US tertiary referral cancer center. The participants included 159 patients who had undergone primary surgery for oropharyngeal squamous cell carcinoma and had 3 dimensions reported on histopathologic testing.

Main Outcomes and Measures  The pTV was calculated as the product of the 3 dimensions expressed in cubic centimeters. For comparison of pT stage with pTV in outcome prediction, concordance indexes were generated using the bootstrap method (n = 1000) to quantify the predictive accuracy of recurrence and survival outcomes. Concordance indexes were then compared and a significant difference was considered when P < .05.

Results  The median age of the patients was 59 years (range, 22-84 years) and 106 were male (67%). Sites of the tumors were base of the tongue (86 patients [54%]), tonsil (48 [30%]), soft palate (24 [15%]), and posterior pharyngeal wall (1 [1%]). The median follow-up time was 64 months (range, 1-272 months). The median tumor volume was 6.8 cm3 (range, 0.1-162.5 cm3). Pathologic TV was a significant predictor of disease-specific mortality. Unlike pT stage, pTV was a significant predictor of local recurrence, regional recurrence, and distant recurrence. Comparison of concordance indexes showed that pTV was a significantly better predictor of disease-specific mortality, local recurrence, and distant recurrence (all P < .05).

Conclusions and Relevance  Pathologic TV outperforms pT stage in the prediction of outcome following surgical treatment of oropharyngeal cancer. Tumor volume should be considered in the design of prospective surgical trials.

The current combined American Joint Committee on Cancer and Union for International Cancer Control staging manual uses the anatomic descriptions of tumor (T), nodal (N), and distant metastases (M) to predict outcome in a validated model.1,2 Radiologic estimated tumor volume (TV) has been shown to be a reliable predictor of outcome in squamous cell carcinoma of the larynx,3-5 hypopharynx,6,7 and nasopharynx8 treated with primary radiotherapy.9,10 The role of TV in predicting outcome for patients with oropharyngeal squamous cell carcinoma (OPC) is less clear, with several groups reporting little influence on outcome.9,11-13 In contrast to this, a recent review14 of outcomes from Memorial Sloan-Kettering Cancer Center suggested that radiologic TV was of prognostic significance in patients who received intensity-modulated radiotherapy. This is in keeping with the findings of a surgical series that included OPC as its largest subsite.15 The aim of our study was to determine whether pathologic TV (pTV) in patients with oropharyngeal cancer who underwent surgical resection is also prognostic of outcome. We also wanted to determine whether pTV outperformed pathologic tumor (pT) stage in predicting outcome.

Methods

With institutional review board approval, 159 consecutive patients who had primary surgical resection of OPC and had 3 dimensions reported on histopathologic testing within Memorial Sloan-Kettering Cancer Center between 1985 and 2005 were identified from our institutional database. Data extracted included patient demographics, surgical procedure, histopathologic report, adjuvant therapy, and outcome. The pTV was calculated as the product of the 3 dimensions expressed in cubic centimeters.15 Oncologic outcomes were determined using the Kaplan-Meier method except for disease-specific death, which was estimated by cumulative incidence functions after treating death from other causes as competing risks. The outcomes assessed included overall mortality, disease-specific mortality (DSM), local recurrence (LR), regional recurrence (RR), locoregional recurrence, and distant recurrence (DR). The relationship between pT stage and outcomes was evaluated using the log-rank test or the nonparametric Gray test for DSM. The relationship between pTV and outcome was based on univariable analysis by treating the volume as a continuous predictor with splines to accommodate nonlinear relation without categorization. For comparison of pT stage with pTV in outcome prediction, concordance indexes were generated using the bootstrap method (n = 1000) to quantify predictive accuracy. Concordance indexes were then compared and a significant difference was considered when P < .05.

Statistical analysis was carried out using commercial software (JMP, version 4.0, SAS Institute Inc; and SPSS, version 19.0; IBM). Open-source statistical software R-2.14.2 (www.r-project.org) was also used.

Results

The descriptive statistics of the group overall are reported in Table 1. The median age of the cohort was 59 years (range, 22-84 years). There were 106 men (67%) and 53 women (33%). Sites of the tumors were base of the tongue (86 patients [54%]), tonsil (48 [30%]), soft palate (24 [15%]), and posterior pharyngeal wall (1 [1%]). Pathologic T-stage categories were pT1 (20 patients [13%]), pT2 (64 [40%]), pT3 (37 [23%]), and pT4 (38 [24%]). Pathologic N-stage categories were pN0 (34 patients [21%]), pN1 (24 [15%]), pN2 (90 [57%]), and pN3 (2 [1%]). Tissue was available for human papilloma virus (HPV) analysis using p16 immunohistochemistry in 122 patients. Sixty-six of the tissue samples (42%) were p16 positive. Tumor dimensions ranged from 0.1 cm to 8 cm, corresponding to a median calculated volume of 6.8 cm3 (range, 0.1-162.5 cm3). Overall American Joint Committee on Cancer categorization was stage I (8 patients [5%]), stage II (19 [12%]), stage III (33 [21%]), and stage IV (99 [62%]).

Eight patients underwent surgery on the primary lesion alone (5%); 6 of these patients had pT1 disease, 1 patient had pT2 disease, and 1 had pT3 disease. Two patients underwent surgery for the primary lesion and received postoperative radiotherapy to the pharynx and neck. Treatment in 46 patients (29%) was managed with surgery for the primary site and neck without postoperative radiotherapy, and the remaining 103 patients (65%) had surgery to both the primary lesion and neck with postoperative radiotherapy. No patients received postoperative chemotherapy, as this was not standard care during the period studied.

With a median follow-up of 64 months (range, 1-272 months), the 5-year DSM, LR, RR, and DR were 23%, 16%, 13%, and 17%, respectively. Pathologic T stage was a significant predictor of 5-year DSM; 5-year DSM for pT1 was 6%; pT2, 12%; pT3, 25%; and pT4, 46% (P < .001). However, pT stage did not predict LR, RR, or DR (pT1, 2, 3, and 4: 5-year LR, 16%, 8%, 17%, and 29%, respectively [P = .09]; 5-year RR, 11%, 6%, 19%, and 20%, respectively [P = .055]; and 5-year DR, 6%, 14%, 20%, and 23%, respectively [P = .18]).

On univariate analysis, pTV was a significant predictor of DSM. However, unlike pT stage, pTV was also a significant predictor of LR, RR, and DR. On comparison with pT stage, pTV was a significantly better predictor of DSM, LR, and DR (P < .05) (Table 2 and Figure).

Discussion

Current internationally recognized staging systems in head and neck cancer are based on anatomic details of tumor, as well as nodal and distant metastases.1,2 In the case of OPC, categories T1 to T3 are based on the single largest dimension, with T4 reserved for locally invasive disease. The system’s use of a single measurement fails to capture data in 3 dimensions. Cross-sectional imaging has given clinicians a way of calculating the 3-dimensional tumor volume prior to definitive therapy, leading to interest in its use as a predictor of outcome. Many groups have analyzed the impact of primary radiologic TV across multiple subsites of head and neck cancer, with reproducibly favorable results.3-7 For example, Hermans et al4 demonstrated that radiologic TV calculated on pretreatment computed tomographic scanning of glottic carcinomas could be correlated with rates of local recurrence. The same finding was reported by Mancuso et al5 and Kraas et al3 for lesions of the supraglottis, again using pretreatment computed tomographic scans. The value of radiologic TV in lesions of the hypopharynx has been reported by Pameijer et al7 and Chen et al6 in early- and late-stage tumors of the hypopharynx.

The volume of disease in regional nodes and its influence on outcome has also been studied but found to be less predictive than primary TV.14,16 The vast majority of these TV studies rely on radiologic measurements, with few groups reporting volumes calculated using surgical specimens.15,17

In the setting of OPC, there is conflicting evidence of the predictive power of radiologic TV on outcome. Some groups have demonstrated a strong link between primary radiologic TV and outcome.14-16,18 Groups from Europe and America have demonstrated that gross radiologic TV predicts recurrence and survival following treatment with intensity-modulated radiotherapy. Others have found radiologic TV to be of little or no use.9,11-13 Nathu et al,12 Mendenhall et al,9 and Been et al13 found that radiologic T stage was more useful in outcome prediction in patients with OPC than was TV. Keberle et al11 showed that, although volume had a minor influence on recurrence rates, the effect of tumors crossing the midline was more significant. The reasons for the differences in these findings are unclear and may include potential treatment biases,14 limitations in imaging, confounding factors such as HPV, or the lack of a correlation.

In the present study, we selected only patients who received primary surgical resection. We limited the cohort to patients who had all 3 dimensions recorded in the histopathologic report to allow volume calculation. This method avoided any limitations of dental amalgam or swallowing artifact that could bias imaging-based studies. We report on 159 patients who were monitored for a median of more than 5 years, giving ample time to detect failure and death due to disease. As expected, most patients had disease involving the base of the tongue (54%) or the tonsil (30%) and had treatment to both the primary site and neck (95%).

As expected, pT stage was predictive of disease-specific survival. However, when compared with pTV as a predictor, pT stage performed less well in the prediction of local and distant failure as well as disease-specific death. Our data therefore suggest pTV to be a significant predictor of outcome. As the American Joint Committee on Cancer moves from the traditional TNM system to more advanced modular staging systems,19 it is important that variables that predict outcome are identified and refined. In a time when the pendulum of treatment has swung toward chemotherapy plus radiotherapy and seems likely to return to the direction of surgical management of OPC,20,21 it is increasingly relevant to analyze oncologic outcomes for patients who undergo surgical treatment for this disease. Encompassing pathologic or radiologic TV into these staging systems will improve the prognostic value of such systems. In addition, recent studies22 suggest that the current staging system for OPC is inadequate and in need of improvement. This highlights the need for critical analysis of factors prognostic for outcome in this group, such as the use of pTV measurements.

Our study does have limitations. The retrospective design makes it susceptible to the limitations of such analyses. There was also some heterogeneity of treatment approach. The cohort predates the use of postoperative chemotherapy plus radiotherapy. The surgical series includes advanced-stage disease, which would now be offered postoperative chemotherapy plus radiotherapy for treatment of positive margins, extracapsular spread, and multiple positive lymph nodes. In addition, the study excluded the most advanced cases of inoperable disease. We also had limited details of HPV status on the excised tissue, which has become increasingly important in recent years.23 However, although HPV-positive tumors tend to present with a lower T stage,24 advanced T stage remains an independent risk factor for both recurrence and death. Our findings therefore suggest that pTV may represent an improvement on T stage, regardless of HPV status.

In conclusion, our data add weight to the growing consensus that pTV outperforms traditional pT stage in the prediction of outcome following treatment of OPC. Its use should therefore be considered in modifications of the staging system for this increasingly prevalent disease.

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Article Information

Submitted for Publication: February 19, 2013; final revision received June 5, 2013; accepted July 19, 2013.

Corresponding Author: Ian Ganly, MD, PhD, Department of Head and Neck Surgery, Memorial Sloan-Kettering Cancer Center, 1275 York Ave, New York, NY 10065 (ganlyi@mskcc.org).

Published Online: October 3, 2013. doi:10.1001/jamaoto.2013.4973.

Author Contributions: Drs Nixon and Ganly had full access to all the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.

Study concept and design: Nixon, Palmer, Ganly.

Acquisition of data: Nixon, Palmer, Ganly.

Analysis and interpretation of data: All authors.

Drafting of the manuscript: Nixon, Lakin, Kattan, Lee, Ganly.

Critical revision of the manuscript for important intellectual content: Palmer, Kattan, Ganly.

Statistical analysis: Nixon, Palmer, Lakin.

Administrative, technical, and material support: Palmer.

Study supervision: Ganly.

Conflict of Interest Disclosures: None reported.

Previous Presentation: This study was presented at the American Head and Neck Society 2013 Annual Meeting; April 11, 2013; Orlando, Florida.

References
1.
Edge SB; American Joint Committee on Cancer. AJCC Cancer Staging Manual. 7th ed. New York, NY: Springer; 2010.
2.
Sobin LH, Gospodarowicz MK, Wittekind C; International Union Against Cancer. TNM Classification of Malignant Tumours. 7th ed. Chichester, England; Wiley-Blackwell; 2010.
3.
Kraas  JR, Underhill  TE, D’Agostino  RB  Jr, Williams  DW  III, Cox  JA, Greven  KM.  Quantitative analysis from CT is prognostic for local control of supraglottic carcinoma.  Head Neck. 2001;23(12):1031-1036.Google ScholarCrossref
4.
Hermans  R, Van den Bogaert  W, Rijnders  A, Doornaert  P, Baert  AL.  Predicting the local outcome of glottic squamous cell carcinoma after definitive radiation therapy: value of computed tomography–determined tumour parameters.  Radiother Oncol. 1999;50(1):39-46.Google ScholarCrossref
5.
Mancuso  AA, Mukherji  SK, Schmalfuss  I,  et al.  Preradiotherapy computed tomography as a predictor of local control in supraglottic carcinoma.  J Clin Oncol. 1999;17(2):631-637.Google Scholar
6.
Chen  SW, Yang  SN, Liang  JA, Tsai  MH, Shiau  AC, Lin  FJ.  Value of computed tomography–based tumor volume as a predictor of outcomes in hypopharyngeal cancer after treatment with definitive radiotherapy.  Laryngoscope. 2006;116(11):2012-2017.Google ScholarCrossref
7.
Pameijer  FA, Mancuso  AA, Mendenhall  WM,  et al.  Evaluation of pretreatment computed tomography as a predictor of local control in T1/T2 pyriform sinus carcinoma treated with definitive radiotherapy.  Head Neck. 1998;20(2):159-168.Google ScholarCrossref
8.
Chua  DT, Sham  JS, Kwong  DL,  et al.  Volumetric analysis of tumor extent in nasopharyngeal carcinoma and correlation with treatment outcome.  Int J Radiat Oncol Biol Phys. 1997;39(3):711-719.Google ScholarCrossref
9.
Mendenhall  WM, Morris  CG, Amdur  RJ, Hinerman  RW, Mancuso  AA.  Parameters that predict local control after definitive radiotherapy for squamous cell carcinoma of the head and neck.  Head Neck. 2003;25(7):535-542.Google ScholarCrossref
10.
Kurek  R, Kalogera-Fountzila  A, Muskalla  K,  et al.  Usefulness of tumor volumetry as a prognostic factor of survival in head and neck cancer.  Strahlenther Onkol. 2003;179(5):292-297.PubMedGoogle ScholarCrossref
11.
Keberle  M, Hoppe  F, Dotzel  S, Hahn  D.  Prognostic value of pretreatment CT regarding local control in oropharyngeal cancer after primary surgical resection [in German].  Rofo. 2003;175(1):61-66.PubMedGoogle ScholarCrossref
12.
Nathu  RM, Mancuso  AA, Zhu  TC, Mendenhall  WM.  The impact of primary tumor volume on local control for oropharyngeal squamous cell carcinoma treated with radiotherapy.  Head Neck. 2000;22(1):1-5.Google ScholarCrossref
13.
Been  MJ, Watkins  J, Manz  RM,  et al.  Tumor volume as a prognostic factor in oropharyngeal squamous cell carcinoma treated with primary radiotherapy.  Laryngoscope. 2008;118(8):1377-1382.Google ScholarCrossref
14.
Lok  BH, Setton  J, Caria  N,  et al.  Intensity-modulated radiation therapy in oropharyngeal carcinoma: effect of tumor volume on clinical outcomes.  Int J Radiat Oncol Biol Phys. 2012;82(5):1851-1857.Google ScholarCrossref
15.
Le Tourneau  C, Velten  M, Jung  GM, Bronner  G, Flesch  H, Borel  C.  Prognostic indicators for survival in head and neck squamous cell carcinomas: analysis of a series of 621 cases.  Head Neck. 2005;27(9):801-808.Google ScholarCrossref
16.
Chao  KS, Ozyigit  G, Blanco  AI,  et al.  Intensity-modulated radiation therapy for oropharyngeal carcinoma: impact of tumor volume.  Int J Radiat Oncol Biol Phys. 2004;59(1):43-50.Google ScholarCrossref
17.
Yuen  AP, Lam  KY, Wei  WI, Ho  CM, Chow  TL, Yuen  WF.  A comparison of the prognostic significance of tumor diameter, length, width, thickness, area, volume, and clinicopathological features of oral tongue carcinoma.  Am J Surg. 2000;180(2):139-143.Google ScholarCrossref
18.
Studer  G, Lutolf  UM, El-Bassiouni  M, Rousson  V, Glanzmann  C.  Volumetric staging (VS) is superior to TNM and AJCC staging in predicting outcome of head and neck cancer treated with IMRT.  Acta Oncol. 2007;46(3):386-394.Google ScholarCrossref
19.
Patel  SG, Lydiatt  WM.  Staging of head and neck cancers: is it time to change the balance between the ideal and the practical?  J Surg Oncol. 2008;97(8):653-657.PubMedGoogle ScholarCrossref
20.
Adelstein  DJ, Ridge  JA, Brizel  DM,  et al.  Transoral resection of pharyngeal cancer: summary of a National Cancer Institute Head and Neck Cancer Steering Committee Clinical Trials Planning Meeting, November 6-7, 2011, Arlington, Virginia.  Head Neck. 2012;34(12):1681-1703.PubMedGoogle ScholarCrossref
21.
Weinstein  GS, O’Malley  BW  Jr, Magnuson  JS,  et al.  Transoral robotic surgery: a multicenter study to assess feasibility, safety, and surgical margins.  Laryngoscope. 2012;122(8):1701-1707.PubMedGoogle ScholarCrossref
22.
Dahlstrom  KR, Calzada  G, Hanby  JD,  et al.  An evolution in demographics, treatment, and outcomes of oropharyngeal cancer at a major cancer center: a staging system in need of repair.  Cancer. 2013;119(1):81-89.PubMedGoogle ScholarCrossref
23.
Ang  KK, Harris  J, Wheeler  R,  et al.  Human papillomavirus and survival of patients with oropharyngeal cancer.  N Engl J Med. 2010;363(1):24-35.PubMedGoogle ScholarCrossref
24.
Mellin  H, Friesland  S, Lewensohn  R, Dalianis  T, Munck-Wikland  E.  Human papillomavirus (HPV) DNA in tonsillar cancer: clinical correlates, risk of relapse, and survival.  Int J Cancer. 2000;89(3):300-304.PubMedGoogle ScholarCrossref
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