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Table 3 Routine MRI characteristics across four head and neck conditions

From: A Stepwise decision tree model for differential diagnosis of Kimura’s disease in the head and neck

Characteristics

 

KD

(n = 36)

SS&MALT (n = 42)

NF

(n = 53)

Lymphoma

(n = 71)

p

*Skin thickening

 

26

(72.2%)

0

50

(94.3%)

1

(1.4%)

< 0.001

Lymphadenopathy

 

31

(86.1%)

0

0

45

(63.4%)

< 0.001

*Cluster

 

10

(27.8%)

  

24

(33.8%)

0.661

*Primary lesions

 

n = 31

n = 42

n = 53

n = 47

 

T1WI

Isointense

31 (100.0%)

42

(100.0%)

53

(100.0%)

47 (100.0%)

 

T2WI

Hyperintense

31 (100.0%)

42

(100.0%)

53

(100.0%)

47

(100.0%)

 

Enhancement

Homogeneous, marked

2

(6.5%)

11

(26.2%)

18

(34.0%)

40

(85.1%)

< 0.001

Heterogeneous, marked

28

(90.3%)

31

(73.8%)

35 (66.0%)

5

(10.6%)

Homogeneous, mild

0

0

0

2

(4.3%)

Heterogeneous, mild

1

(3.2%)

0

0

0

Lymphadenopathy

n = 31

  

n = 45

 

T1WI

Isointense

31 (100.0%)

  

45 (100.0%)

 

T2WI

Hyperintense

31 (100.0%)

  

45

(100.0%)

 

Enhancement

Homogeneous, marked

29

(93.5%)

  

31

(68.9%)

< 0.001

Heterogeneous, marked

0

  

14

(31.1%)

Homogeneous, mild

2

(6.5%)

  

0

  1. *Skin thickening: a thickness ratio of para-lesion skin to contralateral normal skin ≥ 1.2:1
  2. *Cluster: three or more lymph nodes involved within the typical drainage area of the lesion
  3. *Primary lesions: extra-nodal soft tissue lesions. Abbreviations: KD: Kimura’s disease, SS&MALT: Sjogren’s syndrome with mucosa-associated lymphoid tissue lymphoma, NF: neurofibromatosis