Analysis of the uninjured tibiofibular syndesmosis using conventional CT-imaging and axial force in different foot positions

To explore the computed tomography (CT) imaging characteristics and BPF algorithm fine lung CT image efficiency for the diagnosis of pelvic fracture patients and assist clinicians to carry out the disease care and treatment, CT images based on optimized back-projection filtering (BPF) algorithm were utilized to diagnose postoperative reduction of pelvic fractures and penetrating lung infection caused by long-term bed rest. A total of 100 patients with pelvic fracture were selected and all of them underwent pelvic fracture surgery and were rolled into conventional CT diagnosis group (conventional group) and BPF algorithm optimized CT image diagnosis group (BPF group). One group used conventional CT images to guide pelvic reduction and detect lung infections, and the other used BPF algorithm to optimize the images. The results showed that the BPF group was superior to the conventional CT group in both image clarity and shadow area, and the peak signal-to-noise ratio (PSNR) was significantly better than that of the conventional group ( P < 0.05 ). Nine more cases were detected in the algorithm group than in the conventional group, and the incidence of complications was 48% in the conventional group and 28% in the BPF group, with a statistical difference of 20% between the two groups ( P < 0.05 ). In addition, the satisfaction of returning patients was 96% in the BPF group and 77% in the conventional group ( P < 0.05 ). The diagnosis of pulmonary infection was more obvious in the BPF group, indicating that BPF optimization of the CT image was suitable for clinical diagnosis and had a practical application value.

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Risk of vertebral fractures: evaluation on vertebral trabecular attenuation value and hydroxyapatite concentration in patients by chest spectral CT

British Journal of Radiology ◽

10.1259/bjr.20200234 ◽

2021 ◽

pp. 20200234

Author(s):

Qiang Ma ◽

Yuangang You ◽

Xinmeng Hou ◽

Xiaoyue Cheng ◽

Zhenghan Yang ◽

...

Keyword(s):

Vertebral Fractures ◽

Roc Curve ◽

Predictive Value ◽

Bone Fractures ◽

Ct Imaging ◽

Optimal Threshold ◽

Spectral Ct ◽

Attenuation Value ◽

High Area ◽

Conventional Ct

Objectives: To analyze vertebral fractures risk in patients with chest scans by evaluating vertebral hydroxyapatite concentration measured on spectral CT compared to trabecular attenuation value measured on conventional CT. Methods: Our retrospectively study reviewed CT of 216 patients. Analysis of vertebral (T11 – L1) hydroxyapatite concentration by spectral imaging and trabecular attenuation value by conventional CT imaging were performed in patients with chest CT examinations. Specificity, sensitivity, negative predictive value (NPV), and positive predictive value (PPV) were performed by using receiver operating characteristic curves (ROC) in patients with and without vertebral fractures. Results: In male patients, vertebral hydroxyapatite concentration had high area under the ROC curve (0.916); by using the optimal threshold of 72.27 mg/cm3, specificity, sensitivity, NPV, and PPV were 91.7, 80.2, 36.7, and 98.7%, respectively. In female patients, vertebral hydroxyapatite concentration also had high area under the ROC curve (0.870); by using the optimal threshold of 74.79 mg/cm3, specificity, sensitivity, NPV, and PPV were 100.0, 77.8, 47.4, and 100.0%, respectively. Area under the ROC curve was significantly different between spectral CT-measured bone hydroxyapatite concentration and conventional CT-measured attenuation value in distinguishing vertebral fractures (p = 0.007 for males; p = 0.005 for females). Conclusions: Quantitative assessment with spectral CT may appear as higher accuracy than that of conventional CT imaging to analyze risk of vertebral fractures. Hydroxyapatite concentration measured with chest spectral CT may be used to evaluate risk of bone fractures. Advances in knowledge: Hydroxyapatite concentration measured with chest spectral CT may be used to evaluate risk of bone fractures.

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