ABSTRACT
Objective To study the morphology and characteristics of the popliteal tibial nerve and measure relevant structural parameters of the peroneal nerve passing round the fibular head and neck by 3D(three-dimensional)MR advantage sequences,and provide valuable image information for basic research and clinical work.Methods Thirty-six left knee joints of healthy volunteers were scanned using 3D MR sequences,including 3D-FS-CUBE,3D-FS-SPGR.The anatomical features in MR imaging were observed by two doctors.The different level axis section areas of the popliteal tibial nerve were measured by reconstructed 3D MR advantage sequences.The coronal/sagittal diameters and the angle of the fibular head and neck(peroneal tunnel)were also measured and compared.SPSS 19.0 software was used for further statistical analysis.Results Optimum visual rates of the knee nerve of 3D-FS-CUBE,3D-FS-SPGR sequences were 25%,89%(P<0.01).Axial section of the tibial nerve of the popliteal space was as following:top level(Tn1,tibial nerve)(19.3 ± 1.02)mm2,midpoint level(Tn2)(23.6 ± 2.24)mm2,supracondylar level(Tn3)(29.1 ± 3.39)mm2.Coronal and sagittal diameters of the fibular head were(19.8 ± 2.95)mm,(19.7 ± 4.2)mm,and coronal and sagittal diameters of the fibular neck were(12.7 ± 3.1)mm, (13.6 ± 2.5)mm,respectively.The angle between the head and neck was 164°± 6.5°.Conclusion 3D-FS-SPGR sequence is the advantage sequence for displaying the knee nerves.The diameters of the popliteal tibial nerves gradually thicken from Tn 1 to Tn3.The structural measurements of the fibula head and neck have certain significance for fundamental research or prevention and treatment of common peroneal nerve entrapment.
ABSTRACT
Objective To explore the application value of 3.0T MR diffusion tensor imaging (DTI)in 3D reconstruction of the knee peripheral nerve.Methods DTI with 25 motion probing gradients (MPGs)was performed on the left knee in 22 healthy young volunteers;By choosing the original images scaned in the vertical direction,three post-processing methods including maximum intensity proj ection (MIP),volume rendering (VR)and diffusion tensor tractography (DTT)were used.Two radiologists evaluated these images visually.For the same nerve,MIP,VR and DTT were compared using Friedman test.Intraclass correlation coefficient (ICC )analysis was used to compare the correlation among the three imaging methods.Score consistency between two observers was calculated by using the Kappa statistic.Results For the same nerve,there was no significant statistical difference for the MIP,VR and DTT imaging quality scores(P>0.05).The I CC value and the k value were 0.718-0.856,0.668-0.705,respectively.Conclusion Stereoscopic and clear displaying the tibial nerve/the common peroneal nerve in the knee can be achieved by using MIP,VR and DTT post-processing methods based on DTI original images.The reconstruction of MIP,VR is simple and efficient,in which the objectivity is better than DTT.The reconstruction of MIP,VR can be used as effective preview methods before the DTT reconstruction with complexity and strong subjective dependence.
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Objective To evaluate the clinical effect and efficacy of endoscopy treatment for isolated gastric varices 1 with tissue glue and metal clips. Metheds The clinical date of 21 patients who treated tissue glue and metal clips were retrospectively analyzed from Jan 2015 to Dec 2016. Results The treatments were completed successfully and reviewed by endoscopy after 1 week, 1 month, 3 months, 6 months. The gastric varices were reduced, and the serious complications of bleeding, embolism were little. Conclusion The endoscopy treatment for isolated gastric varices 1 with tissue glue and metal clips is contributed to clinical effect, and the treatment provides a reference for clinical treatment.
ABSTRACT
Many applications of wireless sensor networks can benefit from fine-grained localization. In this paper, we proposed an accurate, distributed localization method based on the time difference between radio signal and sound wave. In a trilateration, each node adaptively chooses a neighborhood of sensors and updates its position estimate with trilateration, and then passes this update to neighboring sensors. Application examples demonstrate that the proposed method is more robust and accurate in localizing node than the previous proposals and it can achieve comparable results using much fewer anchor nodes than the previous methods.