We developed a three-dimensional finite element model of development dysplasia of hip (DDH) of a patient. And then we performed virtual Bernese periacetabular osteotomy (PAO) by rotating the acetabular bone with different angle so as to increase femoral head coverage and distribute the contact pressure over the cartilage surface. Using finite element analysis method, we analyzed contact area, contact pressure, and von Mises stress in the acetabular cartilage to determine the effect of various rotation angle. We also built a normal hip joint model. Compared to the normal hip joint model, the DDH models showed stress concentration in the acetabular edge, and higher stress values. Compared to the DDH models, the post-PAO models showed decreases in the maximum values of von Mises stress and contact pressure while we increased the contact area. An optimal position could be achieved for the acetabulum that maximizes the contact area while minimizing the contact pressure and von Mises stress in the acetabular cartilage. These would provide theoretical bases to pre-operative planning.
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.
Objective To explore the role and effectiveness of three-dimensional (3D) printing technology based on 3D multimodality imaging in surgical treatment of malignant bone tumors of limbs. Methods The clinical data of 15 patients with malignant bone tumors of the limbs who met the selection criteria between January 2016 and January 2019 were retrospectively analyzed. There were 6 males and 9 females, with a median age of 34 years (range, 17-73 years). There were 5 cases of osteosarcoma, 3 cases of chondrosarcoma, 2 cases of Ewing sarcoma, 1 case of hemangiosarcoma, 1 case of ameloblastoma, and 3 cases of metastatic carcinoma. The tumors were located in the humerus in 5 cases, ulna in 2 cases, femur in 3 cases, and tibia in 5 cases. The disease duration was 2-8 months (median, 4 months). Preoperative 3D multimodality imaging was administered first, based on which computer-assisted preoperative planning was performed, 3D printed personalized special instruments and prostheses were designed, and in vitro simulation of surgery was conducted, successively. Two cases underwent knee arthroplasty, 2 had semi-shoulder arthroplasty, 2 had proximal ulna arthroplasty, and 9 had joint-preserving surgery. Surgical margins, operation time, intraoperative blood loss, surgical complications, Musculoskeletal Tumor Society (MSTS) score, and oncological outcome were collected and analyzed. Results All 15 patients completed the operation according to the preoperative plan, and the surgical margins were all obtained wide resection margins. The operation time was 80-240 minutes, with a median of 150 minutes. The intraoperative blood loss was 100-400 mL, with a median of 200 mL. There was no significant limitation of limb function due to important blood vessels or nerves injury during operation. One case of superficial infection of the incision was cured after dressing change, and the incisions of the other patients healed by first intention. All patients were followed up 6-48 months, with a median of 24 months. Two of the patients died of lung metastasis at 6 and 24 months after operation, respectively. No local recurrence, prosthesis dislocation, or prosthesis loosening occurred during follow-up. At last follow-up, the MSTS score ranged from 23 to 30, with an average of 25. Conclusion3D printing tecnology, based on 3D multimodality imaging, facilitates precise resection and reconstruction for malignant bone tumors of limbs, resulting in improved oncological and functional outcome.
In thoracoscopic pulmonary nodule resection surgery, precise preoperative planning is crucial. Artificial intelligence (AI)-assisted three-dimensional (3D) reconstruction technologies have shown great potential in this area. AI-assisted 3D reconstruction technologies can provide accurate, personalized models of the pulmonary vasculature and bronchial anatomy, assisting surgeons in detailed surgical planning and thus enhancing the precision and safety of surgeries. This article reviews the application progress of AI-assisted 3D reconstruction technologies in pulmonary nodule surgery, including their applications in preoperative diagnosis, surgical planning, and intraoperative navigation, as well as the advancements in AI- assisted 3D reconstruction technologies. It analyzes the technical features of all kinds of 3D reconstruction methods, their clinical applications, and the challenges they face.