Table 1 Clinical characteristics of the study patients.

From: Deep learning-based ordinal classification overcomes subjective assessment limitations in intraoral free flap monitoring

Characteristics

Patients (N = 131)

Age (mean)

58.1

Sex

 Male

81 (61.8%)

 Female

50 (38.2%)

Primary site

 Tongue

47 (35.9%)

 Mandible\(^*\)

39 (29.8%)

 Maxilla

11 (8.4%)

 Floor of mouth

10 (7.6%)

 Buccal mucosa

7 (5.3%)

 Soft palate

2 (1.5%)

 Lower gingiva

1 (0.7%)

 Retromolar trigone

1 (0.7%)

Composite

13 (9.9%)

 Mandible + Skin

4

 Mandible + oropharynx

2

 Maxilla + Skin

2

 Parotidectomy defect

2

 Mandible + Base of the tongue

1

 Buccal mucosa + Skin

1

 Hypopharynx + Skin

1

Type of free flap

 Anterolateral thigh free flap

64 (48.9%)

 Fibula free flap

45 (34.3%)

 Radial forearm free flap

22 (16.8%)

Occurrence of vascular compromise

10 (7.6%)

 Arterial insufficiency

4

 Venous congestion

4

 Anonymous late failure

2

Total flap loss

2 (1.5%)

  1. \(^{*}\) Include all cases that involve the mandible, not just the lower gingiva.