Ultrasonographic Appearances of Cervical Lymph Nodes in Healthy Turkish Adults Subpopulation: Preliminary Study
RESEARCH ARTICLE

Ultrasonographic Appearances of Cervical Lymph Nodes in Healthy Turkish Adults Subpopulation: Preliminary Study

The Open Dentistry Journal 30 Jun 2017 RESEARCH ARTICLE DOI: 10.2174/1874210601711010404

Abstract

Objectives:

The aim of the study was to assess whether there was any relation between age, gender and body mass index (BMI) and nodal forms and vascular type in healthy Turkish adults.

Study Design:

Three neck areas in 25 wholesome patients who were aged from 21 to 58 years, were assessed by gray-scale and color doppler ultrasonography. Ultrasonographic examinations were performed using an ALOKA Prosound Alpha 6 (Hitachi Aloka Medical Systems, Tokyo, Japan) and the images were obtained with a 7.2 MHz linear array transducer. Hajek’s categorization of cervical lymph nodes for sonographic analysis was used. The ultrasonographic characteristics like size, shape, short axis/long axis ratio (S/L), hilum were evaluated. Ultrasonographic examinations of upper cervical, submandibular and submental lymph nodes were carried out and recorded.

Results:

The mean age of patients was 31.84±12.80 years. The ratios of lymph nodes with avascular pattern were 96% for the upper cervical lymph area, 92% for the submandibular area and 96% for the submental area. The lowest and highest ratios of short to long axis diameter (S/L) were calculated as 0.18 and 0.66 in all areas. Most normal nodes in the study were oval with an S/L ratio of less than 0.5.

Conclusion:

Normal cervical lymph nodes are oval, with an unsharp border and an echogenic hilum but no relation between the age, gender and BMI. Also ultrasonography is an applicable imaging modality for the examination of cervical lymph nodes. However, the deficiency in the number of patients might not allow to generalise our findings to the general populations.

Keywords: Cervical, Lymph nodes, Ultrasonography, Normal anatomy.

INTRODUCTION

Cervical lymph nodes consist of lymphoid tissue and lymphatic drainage sites of the oral cavity and located along the lymphatic vessels in the neck [1]. The lymph nodes undergo reactive changes in response to various stimuli which contain microbial agents, chemicals, tissue damage, immune complexes and neoplasia [2]. The cervical lymph nodes are evaluated through computed tomography (CT), but it is less susceptible than ultrasonography (USG) to identify of small nodes [3]. Also lymph nodes are evaluated through magnetic resonance imaging (MRI), but calcification within lymph nodes is not readily defined with MRI [3]. Ultrasonographic examination of cervical lymph nodes is common in clinical application with high sensitivity and specificity due to noninvasive, radiation free, real-time imaging information [4].

The cervical lymph nodes grouped into seven levels using the American Joint Committee on Cancer (AJCC) classification. This classification is generally used by surgeons and oncologists but not specific for ultrasonographic examination [3]. So Hajek et al. [5] identified an alternative classification for ultrasonographic analysis of cervical nodes. In this classification, the nodes were grouped into eight areas by their position in the neck. However it should not be used for staging of cancers which is based on the AJCC classification [3].

Gray scale ultrasonographic nodal features which include size, shape, border sharpness, presence of an echogenic hilum aid in the differantion of normal from abnormal lymph nodes [6]. The Doppler ultrasonography is used to assess the vascularity pattern [7]. It is crucial that evaluation of cervical lymph nodes for patients with head and neck malignancies, is beneficial in defining patient prognosis, and in deciding appropriate treatment procedure [8]. Before making a precise diagnosis of pathological changes in lymph nodes, an obvious knowledge of the normal features of cervical nodes is important [3].

The size of cervical lymph nodes differs with the position in distinct regions of the neck [3]. Lymph nodes in the submandibular and upper cervical regions tend to be greater than the lymph nodes in other regions of the neck [3, 9, 10]. An inflammation in the mouth may cause the improvent of reactive changes in these lymph nodes [3, 10].

The size of lymph nodes is measured along two axis: the short axis (S) and the long axis (L) [2, 3, 10]. The shape of lymph nodes is usually evaluated by the S/L ratio. A lymph node with a S/L ratio less than 0.5 is oval in shape, however a S/L ratio greater than 0.5 seems round in shape [11]. An oval node demonstrates normality, while malignant nodes tend to be round. However, the normal submandibular nodes have usually a S/L ratio greater or equal than 0.5 [10]. The presence of an echogenic hilum is usually contemplated as an indication of benignity and it is commonly seen in larger nodes [12]. It has been reported that the frequency of echogenic hilus in normal nodes rises with age [13].

The vascular character of cervical nodes is generally classified into four types: hilar, peripheral, mixed and apparently avascular [14]. Normal and reactive lymph nodes usually seem hilar vascularity or apparently avascular whereas malignant nodes show peripheral or mixed vascularity [3, 10].

It is feasible that nodal morphology and vascular pattern of lymph nodes are affected by age, gender and body mass index (BMI). BMI is a parameter of body fat based on height and weight that applies to adults and children and is the cornerstone of the current classification for obesity [15] and cancer [16]. Higher BMI and a longer short-axis diameter may show that patients with wider body size may also have wider lymph nodes [11].

To our knowledge, only one reported study has evaluated the relation between the BMI and nodal form that was performed in Chinese population [11] and there is no reported study with Turkish population. Therefore, the aim of the presented study was to evaluate whether there was any relation between age, gender and body mass index (BMI) and nodal forms and vascular type in healthy Turkish adults subpopulation.

MATERIALS AND METHODS

The study was carried out at the Department of Oral Diagnosis and Radiology, Marmara University Faculty of Dentistry. Twenty five subjects (12 male, 13 female) who were aged from 21 to 58 years, with no anamnesis of head and neck operation, carcinoma, tuberculosis and chronic tonsillitis participated. Confirmation for the study was acquired from the Department of Non-invasive Clinical Research Ethics Committee, Marmara University Faculty of Medicine (Project No: 092015139). The written informed consent was acquired from each subject to inform about the study’s object and procedure.

Ultrasonography was performed by two oral and maxillofacial radiologist (Ö.O. and M.D.). Body height and body weight were measured at the time of the USG examination. BMI was calculated as weight divided by the square of height (kg/m2). Ultrasonographic evaluations were applied using an ALOKA Prosound Alpha 6 (Hitachi Aloka Medical Systems, Tokyo, Japan) and the images were obtained with a 7.2 MHz linear array transducer. Doppler sonography was applied to assess the vascularity of lymph nodes. The submental Fig. (1), upper cervical Fig. (2) and submandibular Fig. (3) nodes were evaluated bilaterally by using Hajek’s classification [5].

Fig. (1). Gray scale US: right submental lymph node with oval shape, echogenic hilus and S/L<0.5.
Fig. (2). Doppler US: right upper cervical lymph node with hilar vascularity.
Fig. (3). Gray scale US: right submandibular lymph node with oval shape, echogenic hilus and S/L<0.5.

The subjects were positioned supine on the examination couch with the neck hyperextended. The evaluation began with a horizontal scan of submental region. Then, the subject’s head was turned towards the opposite side and scanning was followed with series from the submandibular to the upper cervical region. The ultrasonographic properties such as size, shape, short axis/long axis ratio (S/L), hilum were evaluated and recorded.

The data were analysed with the IBM SPSS statistics (IBM SPSS, Turkey) 22.0. The compliance with the normal distribution of parameters was assessed with Shapiro Wilks test. In comparison, the descriptive statistical methods and quantitative data between two groups Student t test was used. The Pearson correlation analysis was used for examining the relationship between parameters.

RESULTS

The mean age of subjects was 31.84±12.80. The ratio of short to long axis diameter (S/L) in right and left cervical nodes, submandibular nodes and submental nodes were shown in (Table 1). The ratios of S/L in right and left cervical nodes were calculated as 0.21-0.64 mm and 0.22-0.46 mm in right and left cervical nodes, respectively. The ratios of S/L were calculated as 0.19-0.54 mm and 0.2-0.66 mm in right and left submandibular nodes, respectively. The ratios of S/L were calculated as 0.2-0.66 mm and 0.18-0.48 mm in right and left submental nodes, respectively.

Table 1.
The distribution of size of lymph nodes.
Right Left
Min-Max Mean±SD Min-Max Mean±SD
Cervical region
Short-axis diameter (mm) 2-5 3.56±0.73 2.7-5.5 3.84±0.75
Long-axis diameter (mm) 5.9-18 11.11±3.36 7.1-16.9 11.8±2.67
S/L 0.21-0.64 0.34±0.11 0.22-0.46 0.34±0.07
Submandibular region
Short-axis diameter (mm) 1.8-5,8 3.87±1.01 2.6-7.7 4.24±1.07
Long-axis diameter (mm) 5.7-23.3 12.84±4.4 7.6-16 11.94±1.95
S/L 0.19-0.54 0.33±0.11 0.2-0.66 0.36±0.11
Submental region
Short-axis diameter (mm) 2.4-8.8 4.65±1.29 2.3-8 4.54±1.28
Long-axis diameter (mm) 7.4-25.2 15.19±4.62 9.6-29 16.18±4.72
S/L 0.2-0.66 0.32±0.1 0.18-0.48 0.29±0.07

The ratios of lymph nodes with avascular type were 96% for the upper cervical lymph area, 92% for the submandibular area and 96% for the submental area. The remaining lymph nodes were showed hilar vascularity.

(Table 2) presents that there was no statistically significant difference between the subjects' ages and the ratio of short to long axis diameter (S/L) of lymph nodes in all regions (p>0.05).

Table 2.
Correlation of lymph nodes by age.
Age
Right Left
r p r p
Cervical region
Short-axis diameter (mm) 0.019 0.927 0.408 0.043
Long-axis diameter (mm) -0.155 0.459 0.236 0.256
S/L 0.134 0.524 0.124 0.554
Submandibular region
Short-axis diameter (mm) -0.044 0.834 0.215 0.303
Long-axis diameter (mm) -0.071 0.737 -0.115 0.585
S/L 0.107 0.609 0.208 0.318
Submental region
Short-axis diameter (mm) 0.122 0.561 0.016 0.941
Long-axis diameter (mm) -0.010 0.962 0.070 0.741
S/L 0.141 0.503 -0.075 0.722
Pearson Correlation Test p<0.05

(Table 3) shows that among the subjects' BMI and the ratio of short to long axis diameter (S/L) of lymph nodes in all regions were not found statistically significant difference (p>0.05).

Table 3.
Correlation of lymph nodes by BMI.
BMl
Right Left
r p r p
Cervical region
Short-axis diameter (mm) 0.071 0.735 0.335 0.102
Long-axis diameter (mm) 0.073 0.728 0.153 0.465
S/L -0.066 0.756 0.124 0.553
Submandibular region
Short-axis diameter (mm) 0.081 0.701 0.260 0.210
Long-axis diameter (mm) 0.026 0.902 -0.038 0.857
S/L -0.006 0.978 0.210 0.313
Submental region
Short-axis diameter (mm) 0.199 0.341 0.195 0.350
Long-axis diameter (mm) 0.192 0.358 0.141 0.502
S/L -0.098 0.642 0.026 0.903
Pearson Correlation Test p<0.05

(Table 4) presents that among the subjects' gender and the ratio of short to long axis diameter (S/L) of lymph nodes in all regions were not found statistically significant difference (p>0.05).

Table 4.
Correlation of lymph nodes by gender.
Right p Left p
Female Male Female Male
Mean±SD Mean±SD Mean±SD Mean±SD
Cervical region
Short-axis diameter (mm) 3.59±0.78 3.53±0.7 0.823 3.7±0.75 3.99±0.76 0.345
Long-axis diameter (mm) 11.35±4.04 10.85±2.6 0.717 11.75±2.52 11.85±2.95 0.931
S/L 0.34±0.12 0.34±0.1 0.926 0.33±0.08 0.35±0.07 0.403
Submandibular region
Short-axis diameter (mm) 3.82±1.02 3.92±1.05 0.823 3.85±0.59 4.65±1.34 0.063
Long-axis diameter (mm) 12.45±3.55 13.26±5.3 0.654 12.18±2.32 11.68±1.51 0.533
S/L 0.33±0.12 0.32±0.1 0.836 0.32±0.07 0.40±0.12 0.055
Submental region
Short-axis diameter (mm) 4.29±0.85 5.04±1.6 0.152 4.27±0.73 4.83±1.68 0.301
Long-axis diameter (mm) 13.85±3.15 16.64±5.6 0.147 15.45±2.65 16.98±6.29 0.445
S/L 0.33±0.12 0.31±0.07 0.665 0.28±0.07 0.29±0.06 0.741
Student t Test p<0.05

DISCUSSION

Ultrasonography (USG) has many advantages involving radiation free, broadly available, simple-to-use, noninvasive, inexpensive [17]. USG is a helpful imaging technique in the evaluation of cervical lymph nodes. For a proper examination of this region it is essential that the clinician has good information of the normal anatomy of the region [18]. So ultrasound examination of soft tissue structures including cervical lymph nodes is applicable by clinicians for routine practice. The ultrasonographic appearance of normal lymph nodes differs from the abnormal nodes. Sonographic characteres that may be assessed and help in distinguishing normal from pathologic lymph nodes include the following: node size, shape, border sharpness, presence of an echogenic hilum and vascularity [19]. A normal lymph node should be oval, with a hilus, sharp margins and avascular or hilar vascularity [20].

Most prior works of ultrasonographic characters of nodes in the cervical region have centered on pathologic lymph nodes [21-23] while the normal anatomy of cervical lymph nodes and their association between age, gender, BMI was investigated in the study. van den Brekel et al. [21] examined 55 patients with head and neck cancer and lymph nodes’ location, number, diameter, and the quantity of necrosis and fatty metaplasia were recorded. They reported that the minimum diameter in the axial plane was the most proper size measure for forecasting lymph node metastasis and a minimum axial diameter of 10 mm was defined to be the most efficient size criterion.

Ying et al. [13] reported that 133 healthy subjects (67 men and 66 women) had performed ultrasonographic investigations of the neck and 1299 lymph nodes were found. The nodes were evaluated for their size, shape (short-to-long-axis ratio), border sharpness and for the entity of an echogenic hilum. The samples were classified by age (20-29, 30-39, 40-49, and > or = 50 years) and subclassified by gender. They observed that nodal size has no significantly difference between gender and age groups. Alike, this study has also found no stastically significant difference between gender and age groups and nodal size (p>0.05). Osanai et al. [11] similarly with our results, no significant relation was shown between age and the S/L ratio. On the contrary Marchal et al. [24] hypothesized that normal nodes in younger subjects tend to be smaller than those in older subjects. This distinction may be associated the raised fatty deposition in nodes in the elders [24].

Nodal shape and size are also useful criteria for distinguishing normal and pathologic lymph nodes [25, 26]. Tohnosu et al. [25] reported that the S/L ratio of lymph node exceeding 0.5 demonstrated a much higher rate of metastasis than S/L under 0.5. The authors identified 126 lymph nodes in 58 patients with esophageal cancer. They observed the mean cancer content in the metastatic lymph nodes with S/L under 0.5 and over 0.5 was 26.0% and 59.1%, respectively. Most the S/L ratios of lymph nodes were over 0.5. Contrary, in presented study, most the S/L ratios of lymph nodes were observed under 0.5 with oval shape. Ahuja and Ying [27] reported that metastatic lymph nodes were round shaped with S/L over 0.5 while benign nodes were oval shaped with S/L under 0.5. Also they verified that the common ultrasonographic features of different reasons of cervical lymphadenopathy explored with comparing the normal anatomy of cervical lymph nodes.

In this study it is shown that no statistically significant difference was found between gender and the ratio of short to long axis diameter (S/L) of lymph nodes in all regions (p>0.05). Contrary, Osanai et al. [11] reported that the S/L of female was significantly larger than that of male.

To our knowledge the present study was the first study evaluating the relation of age, gender and BMI with vascular pattern and nodal morphology in Turkish people. Osanai et al. [11] found that a higher BMI was significantly related with S/L ratio in all regions, whereas our results observed no significant difference between BMI and nodal size (p>0.05). Kawamoto et al. [28] assessed the relation between BMI and high sensitivity C-reactive protein (CRP) concentrations and found that adiposity increases low-grade systemic inflammation. C-reactive protein (CRP) is a crucial inflammation sensitive plasma protein in humans [29]. Similarly in the other study it has been reported that higher BMI is related with higher CRP concentrations [29]. Thus low-grade systemic inflammation may be a possible process relation gender and BMI with nodal form [11]. Osanai et al. [11] suggested that gender and BMI should be considered when lymphadenopathy is determined as well as the presence of metastatic lymph nodes.

Normal lymph nodes frequently have an echogenic hilum, while malign nodes generally do not [28, 29]. Toriyabe et al. [30] reported that benign nodes had internal echo structure with eccentric hyperechoic. At the same time Vassallo [31] reported that the central hilus was the sonographic criteria for differentiation of benign from malignant lymph nodes. In this study, all the examined lymph nodes were a central or eccentric hilus, consistent with the previous studies.

Normal cervical lymph nodes have apparently avascular or hilar vascularity [10]. Ying and Ahuja [10] reported that the grade of vascularity of submental and submandibular lymph nodes is significantly higher than the other regions. The most of lymph nodes showed avascular pattern in this study. The ratio of lymph nodes with a vascular type was 96% for the upper cervical lymph area, 92% for the submandibular area and 96% for the submental area. However, Osanai [11] showed a hilar or avascular type were 35% for the upper cervical area, 20% for the submandibular area and 21% for the submental area. Also hilar vascularity was observed as the most common pattern. This difference may be associated with inadequate number of patients.

On the other hand, a limitation should be recognized in the study. The deficiency in the number of patients might not allow to generalise our findings to the general population.

CONCLUSION

In conclusion, normal cervical lymph nodes are oval, with an unsharp border and an echogenic hilum but no relation was found between lymph nodes and the age, gender and BMI.

ETHICS APPROVAL AND CONSENT TO PARTICIPATE

Not applicable.

HUMAN AND ANIMAL RIGHTS

No Animals/Humans were used for studies that are base of this research.

CONSENT FOR PUBLICATION

Not applicable.

CONFLICT OF INTEREST

The editor declares no conflict of interest, financial or otherwise.

ACKNOWLEDGEMENTS

This study was presented in 6. National Symposium and 1. International Congress of ODMFR, İzmir, 2015.

REFERENCES

1
Ying M, Ahuja A. Ultrasonography of cervical lymph nodes. Available from: www.diir.cuhk.edu.hk/specials/lymph_nodes/lymph_nodes.htm
2
Vj R, Sa A, Mufeed A, Vadivazhagan , Issac JK. Characterization of cervicofacial lymph- nodes: A clinical and ultrasonographic study. J Clin Diagn Res 2014.
3
Ying M, Ahuja AT. Ultrasound of neck lymph nodes: How to do it and how do they look? Radiography 2006; 12(2): 105-17.
4
Baatenburg de Jong RJ, Rongen RJ, Verwoerd CD, van Overhagen H, Laméris JS, Knegt P. Ultrasound-guided fine-needle aspiration biopsy of neck nodes. Arch Otolaryngol Head Neck Surg 1991; 117(4): 402-4.
5
Hajek PC, Salomonowitz E, Turk R, Tscholakoff D, Kumpan W, Czembirek H. Lymph nodes of the neck: evaluation with US. Radiology 1986; 158(3): 739-42.
6
Khanna R, Sharma AD, Khanna S, Kumar M, Shukla RC. Usefulness of ultrasonography for the evaluation of cervical lymphadenopathy. World J Surg Oncol 2011; 9: 29.
7
Ying M, Ahuja A, Brook F, Metreweli C. Vascularity and grey-scale sonographic features of normal cervical lymph nodes: variations with nodal size. Clin Radiol 2001; 56(5): 416-9.
8
Ahuja A, Ying M. Sonography of neck lymph nodes. Part II: abnormal lymph nodes. Clin Radiol 2003; 58(5): 359-66.
9
Ying M, Ahuja A, Brook F, Brown B, Metreweli C. Sonographic appearance and distribution of normal cervical lymph nodes in a Chinese population. J Ultrasound Med 1996; 15(6): 431-6.
10
Ying M, Ahuja A. Sonography of neck lymph nodes. Part I: normal lymph nodes. Clin Radiol 2003; 58(5): 351-8.
11
Osanai H, Kuroiwa H, Uchida K, Kagami H, Yamada K, Taguchi A. Sonographic appearances of cervical lymph nodes in healthy young Japanese adults: Association with age, sex, and body mass index. J Clin Ultrasound 2015; 43(5): 295-301.
12
Solbiati L, Cioffi V, Ballarati E. Ultrasonography of the neck. Radiol Clin North Am 1992; 30(5): 941-54. [abstract].
13
Ying M, Ahuja A, Brook F. Sonographic appearances of cervical lymph nodes: Variations by age and sex. J Clin Ultrasound 2002; 30(1): 1-11.
14
Ying M, Ahuja A, Brook F, Metreweli C, Metreweli C. Power Doppler sonography of normal cervical lymph nodes. J Ultrasound Med 2000; 19(8): 511-7.
15
Prentice AM, Jebb SA. Beyond body mass index. Obes Rev 2001; 2(3): 141-7.
16
Mazzarella L. Why does obesity promote cancer? Epidemiology, biology, and open questions. Ecancermedicalscience 2015; 9: 554.
17
Joshi PS, Pol J, Sudesh AS. Ultrasonography: A diagnostic modality for oral and maxillofacial diseases. Contemp Clin Dent 2014; 5(3): 345-51.
18
Lenghel LM, Baciuţ G, Botar-Jid C, Vasilescu D, Bojan A, Dudea SM. Ultrasonographic identification of the anatomical landmarks that define cervical lymph nodes spaces. Med Ultrason 2013; 15(1): 29-34.
19
Nyman HT, OBrien RT. The sonographic evaluation of lymph nodes. Clin Tech Small Anim Pract 2007; 22(3): 128-37.
20
Giacomini CP, Jeffrey RB, Shin LK. Ultrasonographic evaluation of malignant and normal cervical lymph nodes. Semin Ultrasound CT MR 2013; 34(3): 236-47.
21
van den Brekel MW, Stel HV, Castelijns JA, et al. Cervical lymph node metastasis: assessment of radiologic criteria. Radiology 1990; 177(2): 379-84.
22
Baatenburg de Jong RJ, Rongen RJ, Laméris JS, Harthoorn M, Verwoerd CD, Knegt P. Metastatic neck disease. Palpation vs ultrasound examination. Arch Otolaryngol Head Neck Surg 1989; 115(6): 689-90.
23
Bruneton JN, Roux P, Caramella E, Demard F, Vallicioni J, Chauvel P. Ear, nose, and throat cancer: Ultrasound diagnosis of metastasis to cervical lymph nodes. Radiology 1984; 152(3): 771-3.
24
Marchal G, Oyen R, Verschakelen J, Gelin J, Baert AL, Stessens RC. Sonographic appearance of normal lymph nodes. J Ultrasound Med 1985; 4(8): 417-9.
25
Tohnosu N, Onoda S, Isono K. Ultrasonographic evaluation of cervical lymph node metastases in esophageal cancer with special reference to the relationship between the short to long axis ratio (S/L) and the cancer content. J Clin Ultrasound 1989; 17(2): 101-6. [abstract].
26
Vassallo P, Edel G, Roos N, Naguib A, Peters PE. In-vitro high-resolution ultrasonography of benign and malignant lymph nodes. A sonographic-pathologic correlation. Invest Radiol 1993; 28(8): 698-705.
27
Ahuja AT, Ying M. Sonographic evaluation of cervical lymph nodes. AJR Am J Roentgenol 2005; 184(5): 1691-9.
28
Kawamoto R, Kusunoki T, Abe M, Kohara K, Miki T. An association between body mass index and high-sensitivity C-reactive protein concentrations is influenced by age in community-dwelling persons. Ann Clin Biochem 2013; 50(Pt 5): 457-64.
29
Visser M, Bouter LM, McQuillan GM, Wener MH, Harris TB. Elevated C-reactive protein levels in overweight and obese adults. JAMA 1999; 282(22): 2131-5.
30
Toriyabe Y, Nishimura T, Kita S, Saito Y, Miyokawa N. Differentiation between benign and metastatic cervical lymph nodes with ultrasound. Clin Radiol 1997; 52(12): 927-32.
31
Vassallo P, Wernecke K, Roos N, Peters PE. Differentiation of benign from malignant superficial lymphadenopathy: The role of high-resolution US. Radiology 1992; 183(1): 215-20.