1.Combination of Cervical Perivascular Sympathectomy and Selective Posterior Rhizotomy in Spasticity of Cerebral Palsy: 11 Cases Report
Mengjin YU ; Pinglan HUANG ; Ruixiong YE ; Jia QU ; Weina LIAO ; Yao ZHANG
Chinese Journal of Rehabilitation Theory and Practice 2014;(2):167-170
Objective To investigate the effect of combined application of cervical perivascular sympathectomy (CPVS) and selective posterior rhizotomy (SPR) on spasticity of cerebral palsy. Methods The data on 11 children with cerebral palsy following spasm who were treated by CPVS and SPR were retrospectively analyzed. Results Spasm of most children relieved significantly 1 month after surgery and limb movement function got notable improvement. The effect was confirmed stable and durable 4 months after surgery. Conclusion CPVS and SPR are effective surgical methods for treating spasticity of cerebral palsy.
2.Gynecologic imaging reporting and data system combined with three-dimensional contrast-enhanced ultrasonography for differential diagnosis of benign and malignant ovarian masses
Xiali WANG ; Shuping YANG ; Guorong LYU ; Jianmei LIAO ; Weina ZHANG ; Shufen WU
Chinese Journal of Medical Imaging Technology 2018;34(6):888-892
Objective To evaluate the efficacy of the combination of gynecologic imaging reporting and data system (GI-RADS) uhrasonographic stratification and 3D contrast-enhanced ultrasonography (3D-CEUS) in identifying malignant lesions from benign ovarian masses.Methods Both of 2D ultrasound (2D-US) and 3D-CEUS were performed on 102 patients with ovarian masses.The perfusion characteristics of ovarian masses were observed with 3D-CEUS,and the 2D-US features of ovarian masses were analyzed based on GI-RADS.Simple and multiple Logistic regression analysis were used to investigate whether the independent risk predictors in differential diagnosis of benign and malignant ovarian could be confirmed.In addition,ROC curves were drawn.The diagnostic efficacy of GI-RADS combined with 3D-CEUS scoring system was evaluated and compared with that of only GI-RADS.Results Simple and multiple Logistic regression analysis confirmed that there were 8 independent predictors of malignant masses,including large papillary projections (≥7 mm),separated or wall thickness ≥3 mm,central blood flow,the proportion of solid part ≥50%,combination of ascites,high level enhancement,uneven distribution of contrast media in enhanced solid part and the vascular with characteristics as dense,tortuous and anfractuous.When using 4 points as the cut-off,the area under the curve (AUC) of GI-RADS combined with 3D-CEUS scoring system in identifying malignant ovarian masses was 0.969,higher than that of only GI-RADS (0.839;Z=1.64,P=0.029).Furthermore,the scoring system showed higher sensitivity,specificity,positive predictive value,negative predictive value and accuracy (all P<0.001).Conclusion The combination of GI-RADS with 3D-CEUS can be more effective to distinguish malignant lesions from benign ovarian masses.