| Literature DB >> 35255891 |
Mehmet Öztürk1, Emilie Paulin2, Caecilia Charbonnier3, Elise Dupuis-Lozeron4, Nicolas Holzer5.
Abstract
BACKGROUND: Midshaft clavicle fracture shortening measurement is a reported key element for indication to surgical management and reporting of clinical trials. Determination of pre-fracture clavicle length for shortening measurement remains an unresolved issue. The purpose of the study was to assess accuracy of a novel technique of three-dimensional reconstruction and virtual reposition of bone fragments (3D-VR) for determination of pre-fracture clavicle length and measurement of shortening.Entities:
Keywords: 3D analysis; Clavicle fracture; Computed tomography; Shortening
Mesh:
Year: 2022 PMID: 35255891 PMCID: PMC8903646 DOI: 10.1186/s12891-022-05173-4
Source DB: PubMed Journal: BMC Musculoskelet Disord ISSN: 1471-2474 Impact factor: 2.362
Fig. 1A Fracture models were created on standard synthetic bone models and rigidly fixed. Clavicle length was directly measured positioning the point (red arrow) of a handheld caliper at the articular center (white arrow) of intact and fractured models for calculation of shortening. B Three-dimensional reconstruction where obtained and measures were repeated on fractured and virtually reduced bone fragments
Fig. 2Radiographic midshaft clavicle fracture shortening measurement methods: A Jeray et al., B Silva et al., C Smekal et al. and D HUG method. See text for description
Fig. 3Graphic representation of the Bland-Altman analysis. On the X axis, the shortening measurement by CT. On Y axis, the differences between each radiological method and CT measurement. Values are in millimeters
Fig. 4Distribution of differences between 3D-VR and 2D methods for midshaft clavicle fracture shortening measurement (Mean, Confidence interval). Thresholds of 20 mm of shortening indicated, positive value represent shortening (n = 20)
Number of false-positive cases comparing 3D-VR measurements with 2D methods measurements for a 20 mm surgical threshold (n = 20)
| Observer 1 | Observer 2 | |
|---|---|---|
| 2 (10%) | 1 (5%) | |
| 5 (25%) | 5 (25%) | |
| 3 (15%) | 3 (15%) | |
| 7 (35%) | 6 (30%) |