| Literature DB >> 35132782 |
Yaning Hu1, Aqin Peng1, Shuai Wang2, Shuo Pan3, Xiao Zhang1.
Abstract
OBJECTIVE: To identify different injury patterns of flexion tibial plateau fractures (FTPFs) with 3D CT simulation technology. The association between these hypothesized injury patterns and concomitant injuries was also investigated.Entities:
Keywords: Flexion tibial plateau fractures; Injury pattern; Simulation; Subclassification
Mesh:
Year: 2022 PMID: 35132782 PMCID: PMC8926999 DOI: 10.1111/os.13190
Source DB: PubMed Journal: Orthop Surg ISSN: 1757-7853 Impact factor: 2.071
Demographic and clinical data of patients enrolled
| Parameter | Overall | Type IA | Type IB | Type IIA | Type IIB | Type IIC |
|---|---|---|---|---|---|---|
| Patients, n (%) | 108 | 4(3.7) | 29(26.9) | 14(13.0) | 38(35.2) | 23(21.3) |
| Gender, n (%) | ||||||
| Male | 66(61.1) | 2(3.0) | 18(27.3) | 9(13.6) | 22(33.3) | 15(22.7) |
| Female | 42(38.9) | 2(4.8) | 11(26.2) | 5(11.9) | 16(38.1) | 8(19.0) |
| Mean age (range),years | 48(20–76) | 45(30–65) | 52(25–76) | 47(28–59) | 49(20–70) | 46(34–52) |
| Knee, n (%) | ||||||
| Right | 43(39.8) | 1(2.3) | 13(30.2) | 8(18.6) | 14(32.6) | 7(16.3) |
| Left | 65(60.2) | 3(4.6) | 16(24.6) | 6(9.2) | 24(36.9) | 16(24.6) |
| Causes of injury, n (%) | ||||||
| Electric bicycle traffic accidents | 40(37.0) | 1(2.5) | 15(37.5) | 3(7.5) | 15(37.5) | 6(15.0) |
| Car accidents | 25(23.1) | 0(0.0) | 3(12.0) | 5(20.0) | 10(40.0) | 7(28.0) |
| Crash injuries | 16(14.8) | 2(12.5) | 1(6.3) | 2(12.5) | 6(37.5) | 5(31.3) |
| Falls from a height | 15(13.9) | 1(6.7) | 4(26.7) | 3(20.0) | 3(20.0) | 4(26.7) |
| Simple falls | 12(11.1) | 0(0.0) | 6(50.0) | 1(8.3) | 4(33.3) | 1(8.3) |
n, number.
Fig 1Classification of FTPFs. (A) type IA pure flexion‐varus fractures, (B) type IB pure flexion‐valgus fractures, (C) type IIA flexion‐neutral fractures, (D)type IIB flexion‐internal rotation fractures and (E)type IIC flexion‐external rotation fractures. Yellow zone, fracture zone. Red oval, stress zone.
Fracture types and subclassification of FTPFs
| Type | Fracture type | Morphological characteristics | Criteria | Patients, n (%) |
|---|---|---|---|---|
| Type IA | Pure flexion‐varus fracture | The stress zone was located in the posteromedial plateau. | The degree of rotation in the coronal plane (varus < 0°) | 4 (3.7) |
| Type IB | Pure flexion‐valgus fracture |
The stress zone was located in the posterolateral plateau. Most of the posterolateral tibial plateau is depressed. | The degree of rotation in the coronal plane (valgus > 0°) | 29 (26.9) |
| Type IIA | Flexion‐neutral fracture | The main fracture plane starts from the posteromedial region, ends in the posterolateral region. The posteromedial fracture fragment often involves approximately half of the medial condyle, and the posterolateral plateau fracture is often compressed. | The degree of rotation in the axial plane (flexion‐neutral −10° to 10°) | 14 (13.0) |
| Type IIB | Flexion‐internal rotation fracture | The main fracture plane starts from the anteromedial region, ends in the posterolateral region. The posteromedial fracture fragment often involves a large portion of the medial condyle, and centroposterior fractures of the lateral plateau often collapse and comminute. | The degree of rotation in the axial plane (internal rotation > 10°) | 38 (35.2) |
| Type IIC | Flexion‐external rotation fracture | The main fracture plane starts from the anterolateral region, ends in the posteromedial region. Anterolateral fractures of the plateau are often split and collapsed, and the posteromedial fragment often involves a small portion of the medial condyle. | The degree of rotation in the axial plane (external rotation <−10°) | 23 (21.3) |
n, number.
Fig 2Type IA pure flexion‐varus fractures. (A) CT image. (B) 3D CT simulated image. (C) 3D CT injury pattern simulated image. (D) injury pattern simulated hand drawing.
Fig 3Type IB pure flexion‐valgus fractures. (A) CT image. (B) 3D CT simulated image. (C) 3D CT injury pattern simulated image. (D) injury pattern simulated hand drawing.
Fig 4Type IIA flexion‐neutral fractures. (A) CT image. (B) 3D CT simulated image. (C) 3D CT injury pattern simulated image. (D) injury pattern simulated hand drawing.
Fig 5Type IIB flexion‐internal rotation fractures. (A) CT image. (B) 3D CT simulated image. (C) 3D CT injury pattern simulated image. (D) injury pattern simulated hand drawing.
Fig 6Type IIC flexion‐external rotation fractures. (A) CT image. (B) 3D CT simulated image. (C) 3D CT injury pattern simulated image. (D) injury pattern simulated hand drawing.
A comparison of the incidence of concomitant injuries between type IIB and type IIC fractures
| Concomitant injury | Type IIB (n = 38) | Type IIC (n = 23) |
|
|---|---|---|---|
| Proximal fibular fractures, n (%) | 5 (13.2) | 15 (65.2) | <0.001 |
| Avulsion fractures of intercondylar eminence, n (%) | 38 (100) | 13 (56.5) | <0.001 |
| Anterolateral quadrant fractures, n (%) | 2 (5.3) | 21 (91.3) | <0.001 |
| Posterolateral quadrant split fractures, n (%) | 0 (0) | 16 (69.6) | <0.001 |
| Posterolateral quadrant collapse fractures, n (%) | 38 (100) | 7 (30.4) | <0.001 |
n, number.
Fisher test.