Hostname: page-component-745bb68f8f-f46jp Total loading time: 0 Render date: 2025-02-05T17:13:59.121Z Has data issue: false hasContentIssue false

Do demographics and tumour-related factors affect nodal yield at neck dissection? A retrospective cohort study

Published online by Cambridge University Press:  27 October 2016

R S Lim*
Affiliation:
Department of Otolaryngology and Head and Neck Surgery, Monash Health, Melbourne, Australia Department of Surgery (Monash Medical Centre), Victoria, Australia
L Evans
Affiliation:
Department of Otolaryngology and Head and Neck Surgery, Monash Health, Melbourne, Australia Department of Surgery (Monash Medical Centre), Victoria, Australia
A P George
Affiliation:
Department of Otolaryngology and Head and Neck Surgery, Monash Health, Melbourne, Australia
N de Alwis
Affiliation:
Department of Otolaryngology and Head and Neck Surgery, Monash Health, Melbourne, Australia
P Stimpson
Affiliation:
Department of Otolaryngology and Head and Neck Surgery, Monash Health, Melbourne, Australia
S Merriel
Affiliation:
Department of Otolaryngology and Head and Neck Surgery, Monash Health, Melbourne, Australia
C E B Giddings
Affiliation:
Department of Otolaryngology and Head and Neck Surgery, Monash Health, Melbourne, Australia Department of Surgery (Monash Medical Centre), Victoria, Australia
B Billah
Affiliation:
School of Public Health, Monash University, Victoria, Australia
J A Smith
Affiliation:
Department of Otolaryngology and Head and Neck Surgery, Monash Health, Melbourne, Australia Department of Surgery (Monash Medical Centre), Victoria, Australia
A Safdar
Affiliation:
Department of Otolaryngology and Head and Neck Surgery, Monash Health, Melbourne, Australia Department of Surgery (Monash Medical Centre), Victoria, Australia
E Sigston
Affiliation:
Department of Otolaryngology and Head and Neck Surgery, Monash Health, Melbourne, Australia Department of Surgery (Monash Medical Centre), Victoria, Australia
*
Address for correspondence: Dr Rebecca S Lim, Department of Otolaryngology and Head and Neck Surgery, Monash Health, Victoria, Australia E-mail: rebecca1188@gmail.com
Rights & Permissions [Opens in a new window]

Abstract

Background:

Nodal metastasis is an important prognostic factor in head and neck squamous cell carcinoma. This study aimed to determine the average nodal basin yield per level of neck dissection, and to investigate if age, gender, body mass index, tumour size, depth of tumour invasion and p16 status influence nodal yield.

Method:

A retrospective review of 185 patients with head and neck squamous cell carcinoma generated 240 neck dissection specimens.

Results:

The respective mean nodal yields for levels I, II, III, IV and V were 5.27, 9.43, 8.49, 7.43 and 9.02 in non-cutaneous squamous cell carcinoma patients, and 4.2, 7.57, 9.65, 4.33 and 12.29 in cutaneous squamous cell carcinoma patients. Multiple regression analysis revealed that p16-positive patients with mucosal squamous cell carcinoma yielded, on average, 2.4 more nodes than their p16-negative peers (p = 0.04, 95 per cent confidence interval = 0.116 to 4.693). This figure was 3.84 (p = 0.008, 95 per cent confidence interval = 1.070 to 6.605) for p16-positive patients with oral cavity squamous cell carcinoma.

Conclusion:

In mucosal squamous cell carcinoma, p16-positive status significantly influenced nodal yield, with the impact being more pronounced in oral cavity squamous cell carcinoma patients.

Type
Main Articles
Copyright
Copyright © JLO (1984) Limited 2016 

Introduction

Head and neck squamous cell carcinoma (SCC) accounts for approximately 3.2 per cent of all malignancies worldwide.Reference Jemal, Siegel, Xu and Ward 1 In Australia, head and neck mucosal malignancies constitute about 2.7 per cent of all new cancer cases, the majority of these being SCCs. 2 The presence of nodal metastases is one of the most important prognostic factors for patients with head and neck SCC. In recent years, lymph node density, which is the number of positive lymph nodes divided by the nodal yield, has been suggested to be a strong predictor of survival in oral SCCs.Reference Gil, Carlson, Boyle, Kraus, Shah and Shaha 3 , Reference Patel, Amit, Yen, Liao, Chaturvedi and Agarwal 4 As nodal yield is often used as a surrogate marker of neck dissection adequacy, it has been suggested that in a neck dissection with a low nodal yield, metastatic lymph nodes could have been missed, thereby affecting the lymph node density and thus the prognosis.Reference Marres, de Ridder, Hegger, van Velthuysen, Hauptmann and Navran 5

Ebrahimi et al. pooled data from 1567 patients treated at 9 cancer centres worldwide, and concluded that for patients with oral SCC and clinically negative necks undergoing a selective neck dissection (levels I–III or I–IV), a minimum adequate lymphadenectomy should include at least 18 nodes.Reference Ebrahimi, Clark, Amit, Yen, Liao and Kowalski 6 Patients whose neck dissection yielded fewer than 18 nodes had reduced overall survival and disease-specific survival, and an increased risk of locoregional recurrence.

The paper by Ebrahimi et al. defined an adequate lymphadenectomy for patients with oral SCC and clinically negative necks. However, the target minimum lymph node yield suggested by the authors could potentially be affected by other patient and tumour-related factors. These include age, gender, body mass index (BMI), prior chemotherapy or radiotherapy, primary tumour size, and depth of invasion of the primary tumour. In a decade where the prevalence of p16-positive head and neck SCC is becoming increasingly common, one might also consider if p16 status is a factor influencing nodal yield.Reference Bussu, Sali, Gallus, Petrone, Zannoni and Autorino 7

Prior studies of axillary and retroperitoneal lymph node dissections have examined the influence of these factors on nodal yields, but their results have been equivocal. No studies to date have examined factors influencing nodal yield in neck dissection, yet these may be of clinical importance if interpreted to reflect the adequacy of nodal harvest. This in turn might influence adjuvant radiotherapy planning.

This study aimed to investigate the average nodal basin yield per level of neck dissection, and to determine if age, gender, BMI, tumour size, depth of tumour invasion and p16 status influence nodal yield, and thus lymph node density and prognosis.

Materials and methods

Study population

This retrospective, single tertiary centre study identified patients from January 2005 to January 2015 with head and neck SCC who had undergone elective neck dissection with curative intent. Patients who had received previous chemotherapy or radiotherapy for any malignancy were excluded.

The patients’ scanned medical records and pathology reports were reviewed by the first and second authors. Patients’ age, gender and BMI were recorded from their scanned medical records, while tumour size, depth of tumour invasion and p16 status were recorded from the histopathology reports.

Histopathological analysis

Nodal evaluation was performed by dedicated pathologists at our institution. The pathology reports were reviewed by the investigators to determine the nodal yield per level of the neck dissection. Only lymph nodes in levels I to V were included; intra-parotid, occipital or pre-auricular nodes were excluded.

Statistical analysis

All statistical analyses were performed using IBM SPSS® software, version 22. Patient demographics were reported as means ± standard deviations (SDs) for continuous data and as percentages for categorical data. Multiple regression analysis was performed to evaluate the relationship between average nodal number and tumour size adjusted for age, gender, BMI, depth of invasion and p16 status. The regression analysis was performed for all cases and for an oral cavity SCC group. A p-value of 0.05 or less was considered statistically significant.

Results

Patient demographics

A total of 229 patients with head and neck SCC who were treated at our institution between January 2005 and January 2015 were identified. After excluding patients who had undergone previous chemotherapy or radiotherapy for any malignancy, the final study population consisted of 185 patients. These included 135 males and 50 females. The mean patient age was 66.67 years (range, 29–92 years). Primary tumour sites included the oral cavity, hypopharynx, larynx and skin (Table I). No primary site was found in 26 patients. A total of 240 neck sides were dissected.

Table I Primary tumour sites

Eight of the 185 patients had had specimens sent en bloc and were excluded from analysis of the mean nodal yield per level. These patients, however, were included in the analysis of the factors hypothesised to influence nodal yield.

Neck dissection types

The most common neck dissection performed was selective neck dissection of levels I to IV (25.4 per cent); this was followed by supraomohyoid neck dissection (23.8 per cent), modified radical neck dissection (17.1 per cent), selective neck dissection of levels II to IV (15.8 per cent) and selective neck dissection of levels II to V (7.9 per cent). A radical neck dissection was performed in 5.8 per cent of patients, and 4.2 per cent of patients underwent one- or two-level neck dissection (Table II).

Table II Type of neck dissection

Nodal yield

The mean nodal yield for levels I, II, III, IV and V in patients with mucosal SCC were 5.27, 9.43, 8.49, 7.43 and 9.02, respectively (Table III). In patients with cutaneous SCC, the mean nodal yield for levels I, II, III, IV and V were 4.2, 7.57, 9.65, 4.33 and 12.29, respectively (Table IV).

Table III Nodal yield per level in mucosal SCC patients*

* Total number of patients = 148. Values represent minimum or maximum number of nodes per person at each level. SCC = squamous cell carcinoma; SD = standard deviation

Table IV Nodal yield per level in cutaneous SCC patients*

* Total number of patients = 29. Values represent minimum or maximum number of nodes per person at each level. SCC = squamous cell carcinoma; SD = standard deviation

Factors influencing nodal yield

Mean BMI for patients in the study cohort was 25.96 kg/m2 (SD = 4.97), mean age was 66.67 years (SD = 13.57), mean maximum tumour diameter was 29.05 mm (SD = 14.14) and mean depth of invasion was 11.88 mm (SD = 8.63). The p16 status was known for 109 patients, 26 of whom were p16-positive. Twelve patients with oral cavity SCC were p16-positive.

Simple regression analysis of the entire patient cohort (n = 185; Table V), including cutaneous SCC patients, revealed that depth of tumour invasion (beta = −0.096, p = 0.024; 95 per cent confidence interval (CI) = −0.179 to −0.013) and gender (beta = −1.941, p = 0.006; 95 per cent CI = −3.317 to −0.566) influenced nodal yield. Neither of these variables had statistical significance on multiple regression. Tumour size, p16 status, age and BMI did not significantly influence nodal yield on simple or multiple regression analysis.

Table V Regression analysis of all cases*

Adjusted R-square = 11.5 per cent, model fit: F = 1.512, p = 0.187.

* Total number of cases = 185. Indicates significance (p < 0.05). CI = confidence interval; BMI = body mass index

Simple regression analysis of patients with mucosal SCC (n = 153; Table VI) revealed that depth of invasion (beta = −0.096, p = 0.030; 95 per cent CI = −0.182 to −0.010), p16 status (beta = 2.022, p = 0.021; 95 per cent CI = 0.309 to 3.736) and female gender (beta = −1.651, p = 0.017; 95 per cent CI = −3.004 to −0.298) influenced nodal yield. On multiple regression analysis, only p16 status influenced nodal yield (beta = 2.404, p = 0.04; 95 per cent CI = 0.116 to 4.693), with p16-positive patients yielding, on average, 2.4 more nodes than their p16-negative peers. Tumour size, age and BMI did not significantly influence nodal yield on simple or multiple regression analysis.

Table VI Regression analysis of mucosal SCC cases*

Adjusted R-square = 11.1 per cent, model fit: F = 2.586, p = 0.059.

* Total number of cases = 153. Indicates significance (p < 0.05). SCC = squamous cell carcinoma; CI = confidence interval; BMI = body mass index

In the subgroup of patients with oral cavity SCC (n = 96; Table VII), simple regression analysis revealed that p16 status (beta = 2.886, p = 0.022; 95 per cent CI = 0.430 to 5.34), depth of invasion (beta = −0.129, p = 0.024; 95 per cent CI = −0.240 to −0.017) and gender (beta = −2.242, p = 0.011, 95 per cent CI = −3.962 to −0.523) influenced nodal yield. On multiple regression analysis, only p16 status significantly influenced nodal yield. The p16-positive patients yielded, on average, 3.84 more nodes than their p16-negative peers (beta = 3.837, p = 0.008; 95 per cent CI = 1.070 to 6.605). None of the other factors were significant on multiple regression analysis.

Table VII Regression analysis of oral cavity SCC cases*

Adjusted R-square = 20.6 per cent, model fit: F = 2.038, p = 0.079.

* Total number of cases = 96. Indicates significance (p < 0.05). SCC = squamous cell carcinoma; CI = confidence interval; BMI = body mass index

Discussion

Management of head and neck SCC is frequently informed by the results of the pathological staging of a thorough neck dissection. Prior to the study by Ebrahimi et al., in 2014, there was little conclusive evidence that nodal yield affected survival outcomes in patients undergoing neck dissection.Reference Ebrahimi, Clark, Amit, Yen, Liao and Kowalski 6 That study proposed that a minimum of 18 nodes should be removed in neck dissection in patients with oral SCC and clinically negative necks, as a nodal yield of less than 18 was associated with reduced overall survival and disease-specific survival, and an increased risk of locoregional recurrence. However, this figure is potentially influenced by patient and tumour-related factors.

Previous studies have examined the influence of various factors on nodal yields in regions other than the neck at oncological resection, but the results are far from harmonious. Body mass index has been reported to have no effect on nodal yield in patients undergoing lymph node dissections for colorectal cancer, gynaecological malignancies or breast cancer.Reference Lee, Plews, Rawal, Kiluk, Loftus and Laronga 8 Reference Salman, Usubutun, Ozlu, Boynukalin and Yuce 10 This could be due to difficulty identifying nodes within a thickened mesentery, and technical difficulties with exposure which may result in an inadequate lymphadenectomy being performed. Body mass index, however, has been reported to increase nodal yield during retroperitoneal lymph node dissection for testicular cancer.Reference Thompson, Carver, Bosl, Bajorin, Motzer and Feldman 11 Of note, that study did not appear to exclude patients who had undergone previous chemoradiotherapy, thereby potentially confounding their results.

Age has been found to reduce nodal yield in pelvic dissections, but has no effect on nodal yield in axillary dissections.Reference Lee, Plews, Rawal, Kiluk, Loftus and Laronga 8 , Reference Chou, Row, Gonen, Liu, Schrag and Weiser 12 This difference might be due to sample size; one study included 1143 patientsReference Lee, Plews, Rawal, Kiluk, Loftus and Laronga 8 while the other examined 153 483 patients.Reference Chou, Row, Gonen, Liu, Schrag and Weiser 12

A study that investigated the influence of gender on nodal yield in rectal cancer resections found females to have fewer nodes.Reference Morcos, Baker, Al Masri, Haddad and Hashem 13 Tumour size has also been reported to be independently associated with increased nodal yield in colorectal cancer.Reference Aziz, Hsu, Lu, Wei, Yin and Chang 14 However, in our study, none of these were significant influencers of cervical nodal yield on multivariate analysis.

Surgical technique and processing of neck dissection specimens also potentially influence nodal yield. At our institution, most neck dissection specimens are divided into the individual nodal levels prior to being sent for histopathological analysis.

One method of detecting lymph nodes in a specimen is inspection and palpation; this is recommended by the Royal College of Pathologists in the UK, and is the method used by our institution. Each discrete palpable node is dissected out with attached pericapsular adipose tissue. These nodes are placed in a cassette, which is then stained and serially sliced, prior to being loaded onto pathology slides for viewing under the microscope. Occasionally, if the pathologist is unable to yield an adequate number of nodes by palpation, the specimen is placed in Carnoy's solution and left overnight. This is a mixture of ethanol, chloroform and acetic acid that enhances the differentiation between fat and lymph nodes, and thus allows smaller lymph nodes to be seen more easily.Reference Luz, Ribeiro, Chassot, Collet, Cecconello and Corbett 15 The number of palpable nodes found with this technique is influenced by the tactile capabilities and patience of the pathologist.

To our knowledge, no studies have yet examined the relationship between p16 status and nodal yield in neck dissection. Given the increasing prevalence of p16-positive head and neck SCC, and our finding that p16-positive patients have a higher nodal yield, we suggest that any discussion of cervical nodal yield in patients with oral or oropharyngeal SCC should henceforth take into account p16 status.

The authors recognise the limitations of this study, including the retrospective analysis of prospectively collected data. Also, in the interest of obtaining accurate lymph node counts per neck level, we excluded patients whose neck dissection specimens were sent without adequate labelling, as well as those who have had previous chemoradiotherapy as this has been suggested to reduce nodal yields.Reference Lee, Plews, Rawal, Kiluk, Loftus and Laronga 8 , Reference Doll, Gertler, Maak, Friederichs, Becker and Geinitz 16 , Reference Johnstone, Miller and Moore 17

  • The influence of age, gender, body mass index, tumour size, depth of tumour invasion and p16 status on nodal yield from neck dissection for squamous cell carcinoma is not well defined

  • The p16-positive patients in our study had, on average, a greater nodal yield than their p16-negative peers

  • When using nodal yield as a surrogate marker of neck dissection adequacy, clinicians should take into account factors that could potentially influence nodal yield

In conclusion, our results have shown that p16-positive status is independently associated with higher lymph node counts found in neck dissection performed for mucosal SCC. This finding is important when using nodal yield as a surrogate marker of neck dissection adequacy, and raises the question of whether the target minimum nodal yield should be adjusted for such patients.

References

1 Jemal, A, Siegel, R, Xu, J, Ward, E. Cancer statistics, 2010. CA Cancer J Clin 2010;60:277300 CrossRefGoogle ScholarPubMed
2 AIHW and AACR. Cancer in Australia: An Overview 2012, Cancer series no. 74, Cat. no. CAN 70. Canberra: AIHW, 2012 Google Scholar
3 Gil, Z, Carlson, DL, Boyle, JO, Kraus, DH, Shah, JP, Shaha, AR et al. Lymph node density is a significant predictor of outcome in patients with oral cancer. Cancer 2009;115:5700–10CrossRefGoogle ScholarPubMed
4 Patel, SG, Amit, M, Yen, TC, Liao, CT, Chaturvedi, P, Agarwal, JP et al. Lymph node density in oral cavity cancer: results of the International Consortium for Outcomes Research. Br J Cancer 2013;109:2087–95CrossRefGoogle Scholar
5 Marres, CC, de Ridder, M, Hegger, I, van Velthuysen, ML, Hauptmann, M, Navran, A et al. The influence of nodal yield in neck dissections on lymph node ratio in head and neck cancer. Oral Oncol 2014;50:5964 CrossRefGoogle ScholarPubMed
6 Ebrahimi, A, Clark, JR, Amit, M, Yen, TC, Liao, CT, Kowalski, LP et al. Minimum nodal yield in oral squamous cell carcinoma: defining the standard of care in a multicenter international pooled validation study. Ann Surg Oncol 2014;21:3049–55CrossRefGoogle Scholar
7 Bussu, F, Sali, M, Gallus, R, Petrone, G, Zannoni, GF, Autorino, R et al. Human papillomavirus (HPV) infection in squamous cell carcinomas arising from the oropharynx: detection of HPV DNA and p16 immunohistochemistry as diagnostic and prognostic indicators--a pilot study. Int J Radiat Oncol Biol Phys 2014;89:1115–20CrossRefGoogle ScholarPubMed
8 Lee, MC, Plews, R, Rawal, B, Kiluk, JV, Loftus, L, Laronga, C. Factors affecting lymph node yield in patients undergoing axillary node dissection for primary breast cancer: a single-institution review. Ann Surg Oncol 2012;19:1818–24CrossRefGoogle ScholarPubMed
9 Linebarger, JH, Mathiason, MA, Kallies, KJ, Shapiro, SB. Does obesity impact lymph node retrieval in colon cancer surgery? Am J Surg 2010;200:478–82CrossRefGoogle ScholarPubMed
10 Salman, MC, Usubutun, A, Ozlu, T, Boynukalin, K, Yuce, K. Obesity does not affect the number of retrieved lymph nodes and the rate of intraoperative complications in gynecologic cancers. J Gynecol Oncol 2010;21:24–8CrossRefGoogle Scholar
11 Thompson, RH, Carver, BS, Bosl, GJ, Bajorin, D, Motzer, R, Feldman, D et al. Body mass index is associated with higher lymph node counts during retroperitoneal lymph node dissection. Urology 2012;79:361–4CrossRefGoogle ScholarPubMed
12 Chou, JF, Row, D, Gonen, M, Liu, YH, Schrag, D, Weiser, MR. Clinical and pathologic factors that predict lymph node yield from surgical specimens in colorectal cancer: a population-based study. Cancer 2010;116:2560–70CrossRefGoogle ScholarPubMed
13 Morcos, B, Baker, B, Al Masri, M, Haddad, H, Hashem, S. Lymph node yield in rectal cancer surgery: effect of preoperative chemoradiotherapy. Eur J Surg Oncol 2010;36:345–9CrossRefGoogle ScholarPubMed
14 Aziz, SA, Hsu, T-W, Lu, H-J, Wei, C-K, Yin, W-Y, Chang, C-M et al. Clinical and pathologic factors affecting lymph node yields in colorectal cancer. PLoS One 2013;8:e68526 Google Scholar
15 Luz, DA, Ribeiro, U Jr, Chassot, C, Collet, ES, Cecconello, I, Corbett, CE. Carnoy's solution enhances lymph node detection: an anatomical dissection study in cadavers. Histopathology 2008;53:740–2CrossRefGoogle ScholarPubMed
16 Doll, D, Gertler, R, Maak, M, Friederichs, J, Becker, K, Geinitz, H et al. Reduced lymph node yield in rectal carcinoma specimen after neoadjuvant radiochemotherapy has no prognostic relevance. World J Surg 2009;33:340–7CrossRefGoogle ScholarPubMed
17 Johnstone, PA, Miller, ED, Moore, MG. Preoperative radiotherapy decreases lymph node yield of neck dissections for head and neck cancer. Otolaryngol Head Neck Surg 2012;147:278–80CrossRefGoogle ScholarPubMed
Figure 0

Table I Primary tumour sites

Figure 1

Table II Type of neck dissection

Figure 2

Table III Nodal yield per level in mucosal SCC patients*

Figure 3

Table IV Nodal yield per level in cutaneous SCC patients*

Figure 4

Table V Regression analysis of all cases*

Figure 5

Table VI Regression analysis of mucosal SCC cases*

Figure 6

Table VII Regression analysis of oral cavity SCC cases*