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1.
Acta Radiol ; 62(12): 1610-1617, 2021 Dec.
Article in English | MEDLINE | ID: mdl-33455412

ABSTRACT

BACKGROUND: Isolated sternal fracture, a benign injury, has been increasing in the pan-scan era, although one-third of patients with sternal fracture still has trouble with concomitant injury. The differentiation of these two entities is important to optimize patient management. PURPOSE: To evaluate correlation between retrosternal hematoma and concomitant injury in patients with sternal fracture and to identify predicting factors for concomitant injury in sternal fracture. MATERIAL AND METHODS: A total of 139 patients (84 men; mean age = 54.9 ± 15.3 years) with traumatic sternal fracture were enrolled in this study. We reviewed medical charts and multiplanar computed tomography (CT) images to evaluate cause, location, and degree of sternal fracture, retrosternal hematoma, and concomitant injury. Univariate and multivariate analysis were used to identify variables that were associated with concomitant injury. RESULTS: Concomitant injury on chest CT was observed in 85 patients with sternal fracture. Of the patients, 98 (70.5%) were accompanied by retrosternal hematoma. Multivariate analysis revealed that retrosternal hematoma (odds ratio [OR] = 5.350; P < 0.001), manubrium fracture (OR = 6.848; P = 0.015), and motor vehicle accident (OR = 0.342; P = 0.015) were significantly associated with sternal fracture with concomitant injury. CONCLUSION: Manubrium fracture and retrosternal hematoma portend a high risk of concomitant injury and indicate the need for further clinical and radiologic work-up.


Subject(s)
Fractures, Bone/diagnostic imaging , Hematoma/diagnostic imaging , Multidetector Computed Tomography/methods , Radiography, Thoracic/methods , Sternum/injuries , Accidents, Traffic , Adolescent , Adult , Aged , Aged, 80 and over , Analysis of Variance , Child , Female , Fractures, Bone/classification , Fractures, Bone/etiology , Fractures, Multiple/diagnostic imaging , Hematoma/etiology , Hematoma/pathology , Humans , Incidental Findings , Male , Manubrium/diagnostic imaging , Manubrium/injuries , Middle Aged , Multiple Trauma/diagnostic imaging , Odds Ratio , Retrospective Studies , Rib Fractures/diagnostic imaging , Spinal Fractures/diagnostic imaging , Sternum/diagnostic imaging , Young Adult
2.
Eur Radiol ; 28(2): 459-467, 2018 Feb.
Article in English | MEDLINE | ID: mdl-28828623

ABSTRACT

OBJECTIVE: To investigate the efficacy of double inversion recovery (DIR) sequence for evaluating the synovium of the femoro-patellar joint without contrast enhancement (CE). METHODS: Two radiologists independently evaluated the axial DIR and CE T1-weighted fat-saturated (CET1FS) images of 33 knees for agreement; the visualisation and distribution of the synovium were evaluated using a four-point visual scaling system at each of the five levels of the femoro-patellar joint and the location of the thickest synovium. The maximal synovial thickness at each sequence was measured by consensus. RESULTS: The interobserver agreement was good (κ = 0.736) for the four-point scale, and was excellent for the location of the thickest synovium on DIR and CET1FS (κ = 0.955 and 0.954). The intersequential agreement for the area with the thickest synovium was also excellent (κ = 0.845 and κ = 0.828). The synovial thickness on each sequence showed excellent correlation (r = 0.872). CONCLUSION: The DIR showed as good a correlation as CET1FS for the evaluation of the synovium at the femoro-patellar joint. DIR may be a useful MR technique for evaluating the synovium without CE. KEY POINTS: • DIR can be useful for evaluating the synovium of the femoro-patellar joint. • Interobserver and intersequential agreements between DIR and CET1FS were good. • Mean thickness of the synovium was significantly different between two sequences.


Subject(s)
Contrast Media/pharmacology , Femur/pathology , Image Enhancement/methods , Knee Joint/pathology , Magnetic Resonance Imaging/methods , Patella/pathology , Synovial Membrane/pathology , Adult , Female , Humans , Male , Middle Aged , ROC Curve
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