1.Retrospective study on the treatment of phalanx fractures with absorbable materials
Daojun LU ; Chunliang HU ; Bo WANG ; Xiaohao KE ; Guoqiang ZHAO ; Guoliang ZHANG
Chinese Journal of Postgraduates of Medicine 2023;46(2):150-153
Objective:To investigate the effect of absorbable material internal fixation in the treatment of phalanx fracture and its effect on the complications related to hypersensitive C-reactive protein (hs-CRP), interleukin-10 (IL-10), adrenocorticotropic hormone (ACTH) and foreign body reaction.Methods:The clinical data of 98 patients with phalangeal fracture in Huishan District People′s Hospital of Wuxi City from January 2018 to January 2020 were divided into absorbable group (49 cases, treated with absorbable material internal fixation) and microplate group (49 cases, treated with minimally invasive plate internal fixation). The rates of excellent and good treatment, operation conditions, serum inflammatory stress response indexes levels before and 1 d and 1 week after surgery were compared, and recovery at 3 and 6 months after surgery, the incidence of complications and the degree of treatment satisfaction were counted.Results:The rates of excellent and good treatmentin the absorbable group were higher than that in the micro plate group: 95.92%(47/49) vs. 81.63%(40/49), χ2 = 5.02, P<0.05. The duration of operation in the absorbable group was longer than that in the microplate group: (43.28 ± 12.18) min vs. (31.29 ± 11.69) min; and the duration of hospital stay, fracture healing time and recovery time were shorter than those in the microplate group: (4.09 ± 1.18) d vs. (6.89 ± 2.12) d, (4.35 ± 1.05) weeks vs. (5.69 ± 1.38) weeks, (4.89 ± 1.10) d vs. (6.20 ± 2.01) d; the differences were statistically significant ( P<0.05). The levels of serum hs-CRP, IL-10 and ACTH in absorbable group were lower than those in microplate group at 1 d and 1 week after surgery ( P<0.05). At 3 and 6 months after surgery, the range of motion of metacarpophalangeal joint in the absorbable group was greater than that in the microplate group, and the loss of grip strength of the healthy side was less than that in the microplate group ( P<0.05). The incidence of complications in absorbable group was lower than that in microplate group: 6.12%(3/49) vs. 20.41%(10/49), χ2 = 4.35, P<0.05. Conclusions:The absorbable material internal fixation can achieve good results in the treatment of phalanx fracture, the postoperative recovery is fast, the incidence of complications is lower.
2.Prediction of methylation status of MGMT promoter in WHO gradeⅡ,Ⅲ glioma based on MRI deep learning model
Caiqiang XUE ; Xiaohao DU ; Long JIN ; Xiaoai KE ; Bin ZHANG ; Junlin ZHOU
Chinese Journal of Radiology 2021;55(7):734-738
Objective:To explore the value of a deep learning model based on MRI in predicting the methylation status of MGMT in WHO Ⅱ, Ⅲ gliomas.Methods:The clinical and imaging data of 121 patients with WHO grade Ⅱ, Ⅲ glioma confirmed by surgical pathology and molecular pathology in the Second Hospital of Lanzhou University from June 2016 to June 2020 were retrospectively analyzed. Among them, the MGMT promoter was methylated. A total of 78 cases were metabolized and 43 cases were unmethylated. T 2WI and T 1WI enhanced sequence images of 121 cases of WHO Ⅱ, Ⅲ gliomas were collected, and all the images of each patient including the lesion level were selected manually, and were randomly divided into training set and validation set according to 7∶3. The EfficientNet-B3 convolutional neural network was used to build independent prediction models (T 2-net, T 1C-net, TS-net) based on T 2WI, T 1WI enhancement, T 2WI combined with T 1WI enhancement, and the prediction performance of each model was evaluated separately through the ROC curve. Results:The T 2-net model in the validation set presented an accuracy of 72.3%, a sensitivity of 64.7%, a specificity of 73.3%, and an area under the curve (AUC) of 0.72 for predicting the methylation status of the MGMT promoter in WHO Ⅱ, Ⅲ gliomas. The T 1C-net model showed an accuracy of 66.8%, a sensitivity of 68.3%, a specificity of 66.9%, and an AUC of 0.72. The TS-net model showed an accuracy of 81.8%, a sensitivity of 63.1%, a specificity of 85.0%, and AUC of 0.78. Conclusions:The EfficientNet-B3 convolutional neural network based on MRI can predict the methylation status of the MGMT promoter of WHO Ⅱ, Ⅲ gliomas; the TS-net model has the best prediction performance.