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 observe the volume and distribution of necrotic tissue of femoral head in steroid-induced osteonecrosis of femoral head (SONFH) patients by three-dimensional reconstruction of CT.MethodsA clinical data of 25 patients with SONFH between September 2016 and December 2018 was analyzed. There were 22 males and 3 females, with an average age of 38.8 years (range, 20-63 years). The necrosis of the femoral head was in stage Ⅱ of Association Research Circulation Osseous (ARCO). The disease duration ranged from 3 to 18 months, with an average of 9.2 months. A three-dimensional reconstruction with CT data of SONFH patients were performed by Mimics Research 21.0 software and the femoral head was segmented into eight regions by 3-matic Research 13.0 software. The volume of necrotic tissue of the femoral head and the volume rate of necrotic tissue to femoral head were calculated and the distribution was also analyzed.ResultsThe three-dimensional digital model of the femoral head showed that the necrotic tissue of the femoral head was located above the anterior superior medial, and the area of the necrotic tissue was in a dome-like shape. The results showed that the necrotic tissue in the femoral head was mainly concentrated on the anterior superior internal area, the anterior superior outer area, and the posterior superior internal area. The volume of femoral head was (48 399.52±9 408.90) mm3, and the volume of necrotic tissue was (20 917.08±6 566.94) mm3, and the volume ratio of necrotic tissue to femoral head was 44.75%±15.72%. The proportion of necrotic volume in different regions was different, and the necrotic tissues were mainly distributed in the anterior superior internal area, the anterior superior outer area, and the posterior superior internal area.ConclusionThe volume and distribution of necrotic tissue in femoral head can be evaluated quickly and intuitively by three-dimensional reconstruction of CT in Mimics software.
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.
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 analyze the application effects of artificial intelligence (AI) software and Mimics software in preoperative three-dimensional (3D) reconstruction for thoracoscopic anatomical lung segment resection. MethodsA retrospective analysis was conducted on patients who underwent thoracoscopic lung segment resection surgery at the Second People's Hospital of Huai'an from October 2019 to March 2024. Patients who underwent AI software 3D reconstruction were included in the AI group, those who underwent Mimics software 3D reconstruction were included in the Mimics group, and those who did not undergo 3D reconstruction were included in the control group. Perioperative related indicators of each group were compared. ResultsA total of 168 patients were included, including 73 males and 95 females, aged 25-81 (61.61±10.55) years. There were 79 patients in the AI group, 53 patients in the Mimics group, and 36 patients in the control group. There were no statistically significant differences in gender, age, smoking history, nodule size, number of lymph node dissection groups, postoperative pathological results, and postoperative complications among the three groups (P>0.05). There were statistically significant differences in operation time (P<0.001), extubation time (P<0.001), drainage volume (P<0.001), bleeding volume (P<0.001), and postoperative hospital stay (P=0.001) among the three groups. There were no statistically significant differences in operation time, extubation time, bleeding volume, and postoperative hospital stay between the AI group and the Mimics group (P>0.05). There was no statistically significant difference in drainage volume between the AI group and the control group (P>0.05). ConclusionFor patients requiring thoracoscopic anatomical lung segment resection, preoperative 3D reconstruction and preoperative planning based on 3D images can shorten the operation time, postoperative extubation and hospital stay, and reduce intraoperative bleeding and postoperative drainage volume compared with reading CT images only. The use of AI software for 3D reconstruction is not inferior to Mimics manual 3D reconstruction in terms of surgical guidance and postoperative recovery, which can reduce the workload of clinicians and is worth promoting.
Hemodynamic situation is an important factor of recurrence of postoperative carotid artery aneurysm. In order to investigate the hemodynamic factors of postoperative carotid artery aneurysm affect carotid artery aneurysm recurrence, we established a 3D finite element carotid artery aneurysm for the preoperative and postoperative periods using the three-dimensional reconstruction techniques. And then we measured the hemodynamic factors of carotid artery aneurysm of preoperative and postoperative by the finite element method. The carotid artery aneurysm model has an accurate and realistic shape; the pressure of the recurrence of aneurysm was reduced significantly after surgery,wall shear stress increased significantly at residual neck, and blood flow velocity increased significantly, which will increase the risk of recurrence. The hemodynamic analysis provides a reference for development of aneurysm clinical treatment programs and prevention of recurrence.