Objective To evaluate the feasibility and effectiveness of computer-assisted preoperative planning system—ACL Detector in anterior cruciate ligament (ACL) reconstruction. Methods Between March 2009 and January 2012, 80 patients with ACL rupture received arthroscopic ACL single-bundle reconstruction with autologous hamstring tendon transplantation. Before operation, the preoperative planning was done by computer-assisted preoperative planning system—ACL Detector (trial group, n=40) or by conventional method (control group, n=40). There was no significant difference in gender, age, disease duration, injury cause, preoperative Lysholm score, and preoperative International Knee Documentation Committee (IKDC) score between 2 groups (P gt; 0.05). After operation, the effectiveness was evaluated by Lachman test, pivot shift test, Lysholm score, and IKDC score; the digital three-dimensinal model of knee was reconstructed, and the impingement rate of ACL graft was measured. Results All incisions healed by first intention, and no complication was found. The patients were followed up 18-25 months (mean, 20 months) in trial group and 18-24 months (mean, 21 months) in control group. The Lysholm score and IKDC score were significantly increased at 18 months after operation when compared with preoperative scores (P lt; 0.05), but no significant difference was found between 2 groups (P gt; 0.05). The results of Lachman test and pivot shift test at 18 months after operation were significantly better than those before operation in 2 groups (P lt; 0.05), but no significant difference between 2 groups after operation (P gt; 0.05). MRI showed that impingement was observed in 1 case of trial group (2.50%) and in 8 cases of control group (20.00%), showing significant difference (χ2=4.51, P=0.03). Conclusion The computer-assisted preoperative planning system—ACL Detector could be successfully applied to ACL reconstruction. It has the same improvement in knee functional score as conventional surgery, but it is better than conventional surgery in reducing the impingement incidence.
ObjectiveTo assess the feasibility of 3D digital lung software used in preoperative planning of patients with multiple pulmonary nodules and poor pulmonary function. MethodsFive patients with multiple pulmonary nodules in the left lung, meanwhile with a history of single lung lobectomy in the right lung were included in our hospital between June and December 2015. There were 4 males and 1 female at an average age of 50.4±2.6 years. A 320-slice volumetric CT scanner was used to the CT angiography (CTA) of the pulmonary artery. The data of CT images were imported into the 3D digital lung software that was researched and developed by Xiamen QiangBen Science and Technology Company. The 3D reconstruction of digital virtual lung was completed by this software based on those data. At the same time the soft-ware completed the automatic segmentation of the lung based on the pulmonary artery system and the 3D reconstruction of the pulmonary nodules. The 3D digital lung software calculated the volume proportion of the intended removal (segm-ental lesions) to the whole lung, estimated the effect of surgery on forced expired volume in one second (FEV1), and the patient's tolerance ability to surgery. After the preoperative planning, the patients received multiple pulmonary segmental/subsegmental resection under the general anesthesia by video-assisted thoracoscopic surgery (VATS). ResultsThe 3d reconstruction of the pulmonary arteries reached 5 levels in 5 patients. And the software automatically identified out the lung segment/subsegment to show the lung nodules of lung segment/subsegment. The preselection lung volume of 5 patients accounted for 14.00%-27.00% of total lung volume. The software estimated FEV1 as 1.16-1.46 L which can tolerate the operation. The 5 patients were successfully performed surgery of multiple pulmonary segmental/subsegmental resection under the general anesthesia by VATS. The software located lung nodules from the resection of pulmonary segments during operation immediately. Then we sent them to the rapid pathological examination for diagnosis. After operation, the patients recovered well, and had no respiratory insufficiency. Hospitalization day was 4 days. ConclusionThe 3D digital pulmonary software can not only automatically identify the pulmonary segments, precisely position the pulmonary nodule, show the relationship among the target pulmonary segments artery, vein, bronchus and the surroun-ding artery, vein, and bronchus, but also calculate the volume of the pulmonary segments, estimate the impact of the pulmonary segmentectomy on the FEV1. It is useful for precise evaluation of the tolerant capacity of multiple pulmonary nodules in patients with unstaged multiple pulmonary segments.