Objective:To investigate the value of 3D printing technology in sphenoid ridge meningioma dissection. Methods:By using craniocerebral spiral enhanced CT scan DICOM images, the skull, vessels, and tumor were extracted, reconstructed, and assembled and integrated in the same coordinate system. Then, we constructed a 3D virtual model and a 3D-printed entity model, which was ap-plied for preoperation and postoperation. Results:Virtual models of the brains of five patients were reconstructed successfully and 3D entity models were produced. The models expressed the relationship among tumors, adjacent blood vessels, and the important posi-tion of the nerve tissue. Then, the models were applied to the reference before surgery planning and after surgery. Five cases were successfully performed. Conclusion:The use of the entity model of sphenoid ridge meningioma is important in optimizing operation plans, improving tumor resection, and reducing intraoperative bleeding.

BACKGROUND:The sclerotic zone in the femoral head is an important imaging feature in the progression of steroid-induced femoral head necrosis,which is associated with disease prognosis.Peroxisome proliferator-activated receptor γ coactivator 1α(PGC-1α)has been shown to possess biological activities such as osteogenesis,angiogenesis and anti-mitochondrial apoptosis,which may be closely related to bone repair of steroid-induced femoral head necrosis. OBJECTIVE:To screen for the differential proteins in the sclerotic zone of steroid-induced osteonecrosis of the femoral head versus the normal zone,to screen for hub proteins in the sclerotic zone,and to verify the differential expression of hub proteins in the femoral head specimens following steroid-induced femoral head necrosis,and to to explore the repair pattern of the sclerotic zone following steroid-induced femoral head necrosis. METHODS:Femoral head samples were collected from patients with steroid-induced osteonecrosis of the femoral head receiving total hip arthroplasty.The differentially expressed genes in the sclerotic zone and the normal zone were screened by Tandem Mass Tags and analyzed by GO and KEGG signaling pathways to construct a protein-protein interaction network and screen hub genes.In addition,the expression of hub genes in the sclerotic zone was verified by immunohistochemistry and western blot. RESULTS AND CONCLUSION:Quantitative protein profiling by Tandem Mass Tags revealed that 609 proteins were significantly differentially expressed(Log2FC＞1.20,Log2FC＜0.84 and P＜0.05)in the sclerotic zone of the femoral head compared with the normal zone,of which 290 proteins were upregulated and 319 proteins were downregulated.The GO and KEGG pathway enrichment analyses revealed that among the top 10 enriched pathways,Wnt signaling pathway and life-cycle regulatory pathway were closely related to bone repair;in the life-cycle regulatory pathway,PGC-1α was one of the important proteins.In addition,western blot results verified the low expression of PGC-1α and NRF1 in the sclerotic zone and high expression of Cleaved Caspase-3 in the sclerotic zone compared with the normal zone of steroid-induced femoral head necrosis specimens.Light microscopic immunohistochemical results showed the distribution of PGC-1α,NRF1 and Cleaved Caspase-3 positive expression in the sclerotic and normal zones in the femoral head tissue specimens,indicating the presence of their expression in bone trabeculae,osteoblasts and bone marrow.In contrast,the brown area of the sclerotic zone of femoral head necrosis stained darker and showed more obvious expression of Cleaved Caspase-3.To conclude,in the sclerotic zone of steroid-induced femoral head necrosis,biological behaviors including activation of osteogenesis-related pathways such as Wnt and oxidative apoptosis characterized by low expression of PGC-1 are observed.Low expression of PGC-1α in the sclerotic zone of steroid-induced femoral head necrosis may be associated with the activation of oxidative apoptosis.

Objective:To establish a classification system for the repair band in the subchondral bone origination point in MRI for traumatic osteonecrosis of the femoral head (ONFH) and preliminarily explore the correlation between this classification and the progression of femoral head collapse.Methods:A retrospective analysis was conducted on 73 cases of traumatic ON-FH treated at the Quanzhou Orthopedic-traumatological hospital from January 2000 to December 2019. Among them, there were 46 males and 27 females with an average age of 34.9±8.3 years (range 19-55 years). Clinical and radiological data such as age, gender, side, fracture classification, reduction quality, JIC classification, and bone repair band (BRB) classification were recorded. The progression of traumatic ONFH was assessed using the ARCO staging system, with stages IIIA and IIIB defined as mild collapse and progressive collapse, respectively. The BRB classification was established based on MRI findings, and the inter- and intra-observer consistency of the BRB classification was analyzed using Kappa test. The correlation between the BRB classification and progressive femoral head collapse was analyzed using the Kaplan-Meier survival curve and binary variable Cox regression analysis.Results:According to the BRB classification, 73 cases were divided into type 1 with superficial lesion in 38.4%, type 2 with uncertain lesion in 21.9%, and type 3 with extensive lesion in 39.7%. The inter-observer consistency Kappa value for the BRB classification was 0.798, and the intra-observer consistency Kappa value was 0.896, indicating a high level of consistency. A follow-up of 73 cases (54.8±34.9 months, range 24-165 months) showed a significant correlation between the BRB classification and ARCO staging at the last follow-up (χ 2=37.556, P<0.001), with progression to stages IIIA and IIIB as follows: type 1 had 3 and 1 cases, type 2 had 4 and 1 cases, and type 3 had 14 and 12 cases, respectively. Using the occurrence of progressive collapse (stage IIIB) as the endpoint, the risk of progression to stage IIIB for type 2 was not statistically different from type 1 [ HR=1.766, 95% CI (0.465, 6.702), P=0.403]; the risk of progression to stage IIIB for type 3 was significantly higher than for type 1 [ HR=15.126, 95% CI (4.708, 48.592), P<0.001]. Conclusion:The BRB classification is closely related to the progression of traumatic ONFH and is an independent risk factor for predicting the occurrence of progressive collapse; this classification is helpful for early diagnosis and predicting the progression of collapse and treatment plan decision-making.

Objective:To explore the value of aspartate aminotransferase(AST)and platelet (PLT)ratio index(APRI)in the prognosis of liver transplantation(LT)for hepatocellular carcinoma and establish a nomogram model for evaluating its clinical application potential.Methods:From January 2015 to December 2019, retrospective review was conducted for clinical data of LT for hepatocellular carcinoma(HCC)at First Affiliated Hospital of Zhejiang University School of Medicine and Shulan(Hangzhou)Hospital(601 cases). They were randomized into two groups of modeling (399 cases)and validation(202 cases)and then divided into low and high APRI groups according to the APRI value at Month 1 post-transplantation. The independent risk factors of recurrence and prognosis post-LT were screened in modeling group using univariate and multivariate Cox regression analyses and were further used for constructing a nomogram prediction model. The receiver operating characteristic curve(ROC)and survival curve were utilized for verifying the accuracy of nomogram prediction model.Results:Univariate and multivariate Cox regression analyses revealed that independent risk factors for the prognosis of HCC-LT included cold ischemic time(CIT) >8 h, beyond Hangzhou criteria, surgical bleeding volume >1 000 ml and APRI >1.5. The AUC of HCC-LT recurrence prediction model was 0.734(95%CI: 0.681~0.787)and 0.749(95%CI: 0.671~0.817)in modeling and validation groups; the AUC of HCC-LT mortality prediction model was 0.735(95%CI: 0.679~0.790)and 0.758(95%CI: 0.682~0.834)in modeling and validation groups.Conclusions:APRI>1.5 is an independent risk factor for postoperative recurrence and mortality after HCC-LT. The nomogram prediction model based upon CIT, Hangzhou criteria, intraoperative bleeding volume and APRI can effectively predict the recurrence and overall survival of LT for HCC.