1.Biomechanical research of calcium phosphate cement in fixating distal radius fractures
Huasong LUO ; Yongqing XU ; Lijun ZENG
Orthopedic Journal of China 2006;0(14):-
[Objective]To test the biomechanical effects of calcium phosphate cement in fixating distal tadius fractures,and to provid biomechanical foundation for clinical treating distal tadius fractures.[Method]A models of 18 human distal radius fracture of adult upper limbs specimen were made and randomly divided into three groups:fixed with Kirschner wire(Kirschner group),CPC(CPC group),and CPC combined with Kirschner wire(combination group).Wrist joint was vertically loaded with 98 N,and palmar flexion with dorsal extention motion was dimulated,which range of movement was from palmar flexion 5?to dorsal extention 30? and frequency was 2000 cycles.Displace data of distal radius were measured by sliding caliper at every 500 cycles,we had tested Young' s modulus of two samples of CPC.[Result]Multiple factor variance analysis was used,Kirschner group and others had significantly statistical difference(P0.05).[Conclusion]CPC can provide enough fixation strength for distal radius fracture with bone defect and Young' s modulus of CPC is about 30 MPa,which is between those of cancellous bone and compact bone.
2.Intestinal microflora changes in children with Henoch-Sch?nlein purpura
Wen LUO ; Hua XU ; Xiaoqing CHEN ; Huasong ZENG ; Zhuoyin LIN
Journal of Clinical Pediatrics 2014;(10):907-911
Objective To study the intestinal microflora changes in children with Henoch-Sch?nlein purpura (HSP). Methods The feces of 64 children with HSP (the experimental group) and 25 healthy children (the control group) were collected. 16S rRNA/DNA fluorescent quantitative polymerase chain reaction were performed to detect bacterial content of Lactobacillus, Biifdobacterium and Escherichia coli in feces. Results The amounts of Lactobacillus, and Biifdobacterium in the HSP group were lower than those of the healthy group, and the amounts of E.coli were higher, but the differences were not statistically signiifcant. The amounts of Lactobacillus and Biifdobacterium in the HSP children with gastrointestinal symptoms (abdominal pain, vomiting, e.g.) were signiifcantly lower than those in HSP children without gastrointestinal symptoms and in the healthy group. The difference was signiifcant (P<0.05). Conclusions It suggests that intestinal microlfora in children with HSP in acute phase may exist disorders, especially in the HSP children with gastrointestinal symptoms.
3.Manifestation of Intestinal Tuberculosis on Multi-slice Computed Tomography Enteroclysis
Weiqiang LIANG ; Jing ZHAO ; Yingmei JIA ; Huasong CAI ; Chenyu SONG ; Yanji LUO
Journal of Sun Yat-sen University(Medical Sciences) 2017;38(3):468-474
[Objective] To summarize image manifestations in intestinal tuberculosis (ITB) examined by multi-slice computed tomography enteroclysis (MSCT) and evaluate the diagnostic value of MSCTE in ITB,[Methods] The imaging findings were retrospectively analyzed in 15 cases of ITB that were confirmed by endoscopy or postoperative pathologic examination,including the location,number,shape,edge,surrounding tissue alterations of ITB and other associated changes in the peritoneum,mesentery and solid abdominal organs,and compared with endoscopy and pathology.[Results] In 15 patients,ileocecum was involved in 13 cases (87%),4 cases (27%) showed multi-segmental symmetric intestinal mural thickening,9 patients (60%) showed solid masses,1 case (7%) showed multi-segmental symmetric intestinal mural thickening and solid masses,1 case (7%) showed homogenous enhanced masses and perforation,12 cases (86%) showed enlarged lymph nodes (LNs) with rim enhancement,and 2 cases (13%) showed the comb sign of enhanced mesenteric vessels.Based on enhancement pattern of MSCTE,ITB was divided into three types:homogenous enhancement type (n=5);target sign type (n=2);caseous necrosis type (n=2).[Conclusion] The imaging features of ITB are diverse.MSCTE can clearly display the shape of intestinal mucosa,the alterations of intestinal wall and the relationship between lesion and adjacent tissues,which provides valuable information for the clinic diagnosis of ITB.
4.Visceral abdominal adiposity tissue volume quantification using noninvasive MRI in prediction of type 2 diabetes
Meng WANG ; Yanji LUO ; Huasong CAI ; Jinyun GAO ; Yingmei JIA ; Ziping LI ; Quanfei MENG ; Shiting FENG
Chinese Journal of Medical Imaging Technology 2017;33(12):1844-1849
Objective To investigate the feasibility of utilizing visceral abdominal adiposity tissue (VAT) volume quantification using MRI to predict type 2 diabetes mellitus (T2DM).Methods Forty-eight subjects including 15 T2DM (T2DM group),17 impaired glucose tolerance (IGT,IGT group) and 16 normal glucose tolerance (NGT,NGT group) were enrolled in this study.All subjects underwent upper abdominal iterative decomposition of water and fat with echo asymmetry and least square estimation-image quantification (IDEAL-IQ) MRI scanning.VAT volume of the second and third lumber vertebral body ranges (VATV L2,VATV L3),sum of VATV L2 and L3 (total VATV),hepatic and pancreatic fat were measured in fat fraction mapping of T1WI IDAEL-IQ sequence on post-processing workstation.The accuracy of predicting T2DM using VAT was evaluated by Logistic regression equation via ROC curve.Results The mean of VATV L2,VATV L3 and total VATV in T2DM group were significantly higher than those of IGT group and NGT group (P<0.05),while there were no significant difference of these metrics between IGT group and NGT group (P>0.05).Taking 460.34 ml as the cut-off value for VATV L2 to predict T2DM,sensitivity was 73.33%,specificity was 75.76% and accuracy was 75.00%,respectively.Taking 429.46 ml as the cut-off value for VATV L3 to predict T2DM,sensitivity was 86.67%,specificity was 72.73% and accuracy was 77.08%,respectively.Taking 887.83 ml as the cut-off value for total VATV to predict T2DM,the sensitivity,specificity and accuracy were 86.67%,72.73% and 77.08%,respectively.Only VATV L3 was enrolled by Logistic regression equation (P=0.01,OR=1.01),and the sensitivity,specificity and total accuracy of prediction for T2DM were 80.00 %,88.20 %,and 84.40 %,respectively.Conelnsion It is feasible to utilize VAT volume quantification with MRI to predict T2DM.VATV L3 is a better predictor.