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Table 1 Demographical, clinical and MRI characteristics of the subjects included in this study

From: Automatic segmentation of head and neck primary tumors on MRI using a multi-view CNN

Total cases

220

Demographical data

 

 Age (yrs)

61.9±9.3

 Gender

M: 148 (67%)

Tumor locations

 

 Oral cavity

52 (24%)

 Oropharynx

151 (69%)

 Hypopharynx

17 (7%)

Tumor classification*

 

 T2

78 (35%)

 T3

45 (21%)

 T4

97 (44%)

Lymph node classification**

 

 N0

78 (35%)

 N1

42 (19%)

 N2

97 (44%)

 N3

3 (1%)

MRI Sequences

 

 T1

220 (100%)

 T1gad

213 (97%)

 STIR

220 (100%)

MR vendors

 

 GE

104 (47%)

 Philips

95 (43%)

 Siemens

21 (9%)

  1. * Tumor classification was defined according to the TNM criteria (7th edition): In general, T2 = the tumor is between 2 and 4 cm in the greatest dimension; T3 = the tumor is larger than 4 cm in the greatest dimension or invading surrounding structures; T4 = the tumor invades other (critical) tissues. ** Lymph node classification was defined according to the TNM criteria (7th edition): N0 = no regional lymph-node metastases; N1 = metastases to one or more ipsilateral lymph nodes with the greatest dimension smaller than 6 cm; N2 = metastases to contralateral or bilateral lymph nodes with the greatest dimension smaller than 6 cm; N3 = metastases to one or more lymph nodes with the greatest dimension larger than 6 cm. Abbreviations: T1gad = contrast-enhanced T1-weighted; STIR = short-T1 inversion recovery