A clinical application of magnetic resonance imaging combined with the diagnosis of bone scanning in bone tumors of knee / 中国医学装备

ABSTRACT

Objective: To investigate the clinical value of magnetic resonance imaging (MRI) combined with the diagnosis of bone scanning in bone tumors of knee. Methods: 70 patients with bone tumor of knee were enrolled in the research. And all of them were divided into MRI group (37 cases), bone scanning group (14 cases) and combined detection group (19 cases) according to different imageological examination mode when they were hospitalized. These images of imageological examination and pathological results were collected, and lesion property, lesion boundary, lesion range, invasiveness of lesion and homogeneousness of lesion interior in the images were analyzed and researched. The diagnostic values of various examination technique for bone tumor of knee were compared. Results:The diagnostic accordance rates of benign and malignant bone tumor of knee in the combined group were 100% and 92.86%, and they were 76.4% and 70% in MRI group, and they were 57.14% and 85.71% in bone scanning group. And the difference of diagnostic accordance rate between MRI group and bone scanning group was not significant (x2=2.336, P>0.05). The differences of diagnostic accordance rates of benign and malignant bone tumor of knee between MRI group and combined detection group were significant (x2=2.936, x2=3.524, P<0.05), respectively. And the diagnostic accordance rates of benign and malignant bone tumor of knee between bone scanning group and combined detection group also were significant (x2=3.718, x2=2.947, P<0.05), respectively. Besides, the differences of lesion boundary, lesion range and homogeneousness of lesion interior among the three group were significant (x2=4.001, x2=3.695, x2=2.852, P<0.05), respectively. Conclusion: The combination of MRI and bone scanning examination can partially increase the diagnostic efficiency at early stage for bone tumor of knee, and provide more comprehensive and more reliable image data for clinical practice. Therefore, it is beneficial to improve the prognosis of patients and it has higher application value in clinical practice.