ObjectiveTo investigate the clinical effect of 3D computed tomography bronchial bronchography and angiography (3D-CTBA) and guidance of thoracoscopic anatomic pulmonary segmentectomy by Mimics software system. MethodsA retrospective analysis was performed on patients who underwent thoracoscopic segmentectomy in the Department of Thoracic Surgery of Affiliated People's Hospital of Jiangsu University from June 2020 to December 2022. The patients who underwent preoperative 3D-CTBA using Materiaise's interactive medical image control system (Mimics) were selected as an observation group, and the patients who did not receive 3D-CTBA were selected as a control group. The relevant clinical indicators were compared between the two groups. ResultsA total of 59 patients were included, including 29 males and 30 females, aged 25-79 years. There were 37 patients in the observation group, and 22 patients in the control group. The operation time (163.0±48.7 min vs. 188.8±43.0 min, P=0.044), intraoperative blood loss [10.0 (10.0, 20.0) mL vs. 20.0 (20.0, 35.0) mL, P<0.001], and preoperative puncture localization rate (5.4% vs. 31.8%, P=0.019) in the observation group were better than those in the control group. There was no statistically significant difference in the thoracic tube placement time, thoracic fluid drainage volume, number of intraoperative closure nail bin, postoperative hospital stay, or postoperative air leakage incidence (P>0.05) between the two groups. ConclusionFor patients who need to undergo anatomical pulmonary segmentectomy, using Mimics software to produce 3D-CTBA before surgery can help accurately identify pulmonary arteriovenous anatomy, reduce surgical time and intraoperative blood loss, help to determine the location of nodules and reduce invasive localization before surgery, and alleviate patients' pain, which is worthy of clinical promotion.
ObjectiveTo investigate the application value of three-dimensional reconstruction and virtual pre-operative planning for Pilon fractures. MethodsBetween July 2010 and June 2014, 16 patients with closed Pilon fracture were treated, including 12 males and 4 females with an average age of 36.5 years (range, 22-53 years) and a mean disease duration of 10.2 days (range, 6-14 days). According to AO/Orthopaedic Trauma Association (AO/OTA) typing, 2 cases were rated as 43.B2 type, 3 cases as 43.B3 type, 3 cases as 43.C1 type, 2 cases as 43.C2 type, and 6 cases as 43.C3 type. The preoperative CT data from 16 patients were imported into Mimics10.01 software to establish the detailed fracture three-dimensional digital models. Virtual operation of fracture reduction and implanting internal fixation was performed on the models, and the optional surgical planning was made. Based on the virtual preoperative planning, operations were performed. ResultsEstablished detailed three-dimensional Pilon fracture digital models could perfectly reflect the fracture characteristics, could be observed at any direction, and aided for fracture classification accurately. Virtual fracture operations of reduction, internal fixation and other could be performed to simulate the clinical operation, which could assist the surgeon better preoperative planning in achieving visual presentation and improving the communication. The operation time was 70-130 minutes (mean, 87.8 minutes); intraoperative blood loss volume was 30-150 mL (mean, 71.9 mL). The wounds healed by first intension in all patients. The mean follow-up time was 11.6 months (range, 8-18 months). Postoperative radiological results at 3 groups showed good anatomic reduction according to the Burwell-Charnley criteria, and the fracture healing time was 3-6 months (mean, 3.7 months). There was no complication of internal fixation loosening or breakage during follow-up. The American Orthopedic Foot and Ankle Society (AOFAS) score was 71-100(mean, 92.3); the results were excellent in 10 cases, good in 5 cases, and fair in 1 case, with an excellent and good rate of 93.8% at last follow-up. No loss of fracture reduction was observed on the X-ray film. ConclusionThe clinical feasibility of virtual reconstruction preoperative planning is good in the treatment of Pilon fractures, which helps surgeons better understanding Pilon fracure and making the surgical planning.
ObjectiveTo introduce sensitivity and homogeneity tests in network meta-analysis and its implementation in R software. MethodsUsing an example, we performed sensitivity analysis by comparing the random effect model with the fixed effect model. Homogeneity analysis was performed using metaphor package and combinat package in R software. ResultsThe results of the two models were similar, and the data was steady. The results of homogeneity analysis showed that the confidential intervals in all loops were crossed over with blank value; and direct and indirect estimates of the effects in network meta-analysis were not significantly different, with good homogeneity. ConclusionNetwork meta-analysis is a kind of indirect comparison analysis method, and its sensitivity is especially important. The introduction of homogeneity makes network meta-analysis more accurate. Using R software for sensitivity and homogeneity analysis in network meta-analysis is a feasible method.
Meta-analysis of survival data is becoming more and more popular. The data could be extracted from the original literature, such as hazard ratio (HR) and its 95% confidence interval, the difference of actual frequency and theoretical frequency (O - E) and its standard deviation. The data can be used to calculate the combined HR using Review Manager (RevMan), Stata and R softwares. RevMan software is easy to learn, but there are some limitations. Stata and R software are powerful and flexible, and they are able to draw a variety of graphics, however, they need to be programmed to achieve.
Network meta-analysis may be performed by fitting multivariate meta-analysis models with Stata software mvmeta command; however, there are various challenges such as preprocessing the data, parameterising the model, and making good graphical displays of results. A suite of Stata programs, network, may meet these challenges. In this article, we introduce how to use the network commands to implement network meta-analysis by the example of continuous data.
R software is a free, powerful statistical and graphing software, including metafor, meta as well as metaplus packages. They can be used to conduct meta-analysis. This article introduces detailed operations of the metaplus package for meta-analysis using cases.
ITC (Indirect Treatment Comparison) software and indirect procedure of Stata software are especially used for indirect comparison nowadays, both of which possess the characteristics of friendly concise interface and support for menu operation. ITC software needs the application of other software to yield effect estimation and its confidence interval of direct comparison firstly; while Stata-indirect procedure can complete direct comparison internally and also operate using commands, which simplifies complicated process of indirect comparison. However, both of them only perform "single-pathway" of data transferring and pooling, which is a common deficiency. From the results, their results are of high-degree similarity.
Objective To evaluate the predictive performance of the geometric characteristics, centerline (CL) of pulmonary nodules for prognosis in patients with surgically treatment in the National Lung Screening Trial (NLST). MethodsCT images of 178 patients who underwent surgical treatment and were diagnosed with non-small cell lung cancer (NSCLC) in the low-dose CT (LDCT) cohort from the NLST image database were selected, including 99 males and 79 females, with a median age of 64 (59, 68) years. CT images were processed using commercial software Mimics 21.0 to record the volume, surface area, CL and the area perpendicular to the centerline of pulmonary nodules. Receiver operating characteristic (ROC) curve was used to compare the predictive performance of LD, AD and CL on prognosis. Univariate Cox regression was used to explore the influencing factors for postoperative disease-free survival (DFS) and overall survival (OS), and meaningful independent variables were included in the multivariate Cox regression to construct the prediction model. ResultsThe area under the curve (AUC) of CL for postoperative recurrence and death were 0.650 and 0.719, better than LD (0.596, 0.623) and AD (0.600, 0.631). Multivariate Cox proportional risk regression analysis showed that pulmonary nodule volume (P=0.010), the maximum area perpendicular to the centerline (MApc) (P=0.028) and lymph node metastasis (P<0.001) were independent risk factors for DFS. Meanwhile, age (P=0.010), CL (P=0.043), lymph node metastasis (P<0.001), MApc (P=0.022) and the average area perpendicular to the centerline (AApc) (P=0.016) were independently associated with OS. ConclusionFor the postoperative outcomes of NSCLC patients in the LDCT cohort of the NLST, the CL of the pulmonary nodule prediction performance for prognosis is superior to the LD and AD, CL can effectively predict the risk stratification and prognosis of lung cancer, and spheroid tumors have a better prognosis.
Health economics analysis has become increasingly important in recent years. It is essential to master the use of relevant software to conduct research in health economics. TreeAge Pro software is widely used in the healthcare decision analysis. It can carry out decision analysis, cost-effectiveness analysis, and Monte Carlo simulation. With powerful functionlity and outstanding visualization, it can build Markov disease transition models to analyze Markov processes according to disease models and accomplish decision analysis with decision trees and influence diagrams. This paper introduces cost-effectiveness analysis based on Markov model with examples and explains the main graphs.
Objective To explore the solutions of problems with the ROC analysis for different types data. Method Two kinds of ROC analyses of three cardiac infarction markers, cTNT, CK-MB mass and MYO, were performed with the ROC program developed by Yunnan Provincial Clinical Laboratory Center. Results The distribution of prime data had a large range, which produced a bad analysis result. After logarithmic transformation, the prime data that had smaller range now can be analyzed with full-span method. The results were similar to the ROC analyzed with the overlapped data. Conclusions We should choose different statistical method depend on the distribution of data when we performed ROC analyses.