AIM:To compare the therapeutic effect of three types of interventional management for primary liver cancer.
METHODS:A total of 468 patients with primary liver cancer were randomly allocated to the following three groups: 138 cases treated with chemotherapy alone using mitomycin C, adriamycin and 5-FU (group A); 158 cases treated with chemoembolization using lipiodol (group B); and 172 cases with chemoembolization using lipiodol and gelfoam (group C). All patients were angiographically and sonographically followed-up.
RESULTS:In group C, 67.5% patients had AFP value decreased by > 50%, which was much higher than the 43.3% in group B and 32.2% in group A. Tumor size reduction by ≥ 50% occurred in 20.3% of patients in group A, 41.2% of patients in group B and 44.8% of patients in group C. The intergroup differences between group A and group B or C were significant (P < 0.01). The 1-year and 3-year survival rates were 20.5% ± 3.6% and 1.9% ± 2.4% for group A, 51.3% ± 4.4% and 10.1% ± 4.9% for group B, and 63.0% ± 2.4% and 13.9% ± 5.0% for group C, respectively. The differences between all three groups were significant (P < 0.05). The mean survival time for patients in groups A, B and C were 9.6 mo, 16.1 mo and 17.9 mo, respectively.
CONCLUSION:Chemoembolization with lipiodol and gelfoam was the most effective therapy for primary liver cancer in this study. The position of the embolization should be far and middle sections of the hepatic artery, and the proximal section should be reserved as the route of the next intra-arterial chemoembolization.
Objective
To evaluate the safety and effectiveness of osteotomy adjacent to the articular surface of the metatarsal head combined with basal opening wedge osteotomy for severe hallux valgus.
Methods
The double osteotomy procedure was carried out in 56 patients (72 feet) with severe hallux valgus deformity, with an average follow‐up of 25 months from March 2010 to February 2019. Hallux valgus angle (HVA), distal metatarsal articular angle (DMAA), intermetatarsal angle (IMA), and distal articular set angle (DASA) were measured for all patients
via
weight‐bearing anteroposterior (AP) X‐ray images. In addition, the American Orthopedic Foot & Ankle Society (AOFAS) scale was used for evaluating the function of the hallux.
Results
The HVA, IMA, and DMAA reduced from 49.30 ± 6.60, 19.33 ± 4.70, and 29.85 ± 10.96 to 13.19 ± 6.10, 5.97 ± 3.13, and 5.63 ± 3.44, respectively (
P
< 0.01). DASA decreased from 4.33 ± 2.34 to 4.08 ± 1.91 and did not show a statistically significant difference (
P
= 0.48). Among the 72 feet, 69 feet healed normally, and 3 feet had bone resorption at the osteotomy edges. No cases of bone sclerosis, bone necrosis, bone nonunion, or ankylosis were observed. On average, the AOFAS score improved from 34.66 ± 12.07 (preoperative) to 88.78 ± 5.73 (postoperative).
Conclusions
The proposed double osteotomy procedure can maintain the match metatarsophalangeal joints without ischemic necrosis of bones, and is demonstrated to be safe, effective, and feasible for correcting severe hallux valgus.
A novel condition monitoring method based on the adaptive multivariate control charts and the supervisory control and data acquisition (SCADA) system is developed. Two types of control charts are adopted: one is the adaptive exponential weighted moving average (AEWMA) control chart for abnormal state detection, and the other is the multivariate exponential weighted moving average (MEWMA) control chart for anomaly location determination. Optimization procedures for these control charts are implemented to achieve minimum out-of-control average running length. Multivariate regression analysis is utilized to obtain the normal condition prediction model of wind turbine with fault-free SCADA data. After comparing the regression accuracy of several popular algorithms in the MRA, the random forest is adopted for feature selection and regression prediction. Various tests on the wind turbine with normal and abnormal states are conducted. The performance and robustness of various control charts are compared comprehensively. Compared with conventional control charts, the AEWMA control chart is more sensitive to the abnormal state and thus has a more effective anomaly identification ability and better robustness. It is shown that the MEWMA control chart combined with the out-of-limit number index can effectively locate and identify the abnormal component.
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