1.A retrospective study on the treatment of femoral intertrochanteric fracture with Du's bone-setting manipulation reduction combined with PFNA
Wen XIA ; Fuqing YI ; Rui TANG ; Liyong ZHAO
China Modern Doctor 2025;63(31):12-15
Objective To explore the clinical efficacy of Du's bone-setting manipulation reduction combined with proximal femoral nail antirotation(PFNA)in the treatment of femoral intertrochanteric fracture.Methods A total of 79 femoral intertrochanteric fracture patients who underwent PFNA surgery in Sichuan Second Hospital of Traditional Chinese Medicine from January 2018 to December 2023 were selected.40 patients who underwent Du's bone-setting manipulation reduction combined with PFNA were included in manipulation group,and 39 patients who used a traction bed followed by PFNA were included in traction group.The operation time,intraoperative blood loss,recovery of neck-shaft angle and anteversion angle of femur,and fracture healing time of two groups of patients were compared.Results The operation time and fracture healing time of patients in manipulation group were significantly shorter than those in traction group,intraoperative blood loss was significantly less than that in traction group,and the Harris score of hip joint and the excellent and good rate of reduction were significantly higher than those in traction group(P<0.05).There was no statistically significant difference in postoperative hospital stay,the degree of recovery of neck-shaft angle and anteversion angle of femur between two groups of patients(P>0.05).Conclusion Du's bone-setting manipulation reduction combined with PFNA in the treatment of femoral intertrochanteric fracture has the advantages of short operation time,less intraoperative blood loss,short fracture healing time and good functional recovery of the affected limb.
2.A retrospective study on the treatment of femoral intertrochanteric fracture with Du's bone-setting manipulation reduction combined with PFNA
Wen XIA ; Fuqing YI ; Rui TANG ; Liyong ZHAO
China Modern Doctor 2025;63(31):12-15
Objective To explore the clinical efficacy of Du's bone-setting manipulation reduction combined with proximal femoral nail antirotation(PFNA)in the treatment of femoral intertrochanteric fracture.Methods A total of 79 femoral intertrochanteric fracture patients who underwent PFNA surgery in Sichuan Second Hospital of Traditional Chinese Medicine from January 2018 to December 2023 were selected.40 patients who underwent Du's bone-setting manipulation reduction combined with PFNA were included in manipulation group,and 39 patients who used a traction bed followed by PFNA were included in traction group.The operation time,intraoperative blood loss,recovery of neck-shaft angle and anteversion angle of femur,and fracture healing time of two groups of patients were compared.Results The operation time and fracture healing time of patients in manipulation group were significantly shorter than those in traction group,intraoperative blood loss was significantly less than that in traction group,and the Harris score of hip joint and the excellent and good rate of reduction were significantly higher than those in traction group(P<0.05).There was no statistically significant difference in postoperative hospital stay,the degree of recovery of neck-shaft angle and anteversion angle of femur between two groups of patients(P>0.05).Conclusion Du's bone-setting manipulation reduction combined with PFNA in the treatment of femoral intertrochanteric fracture has the advantages of short operation time,less intraoperative blood loss,short fracture healing time and good functional recovery of the affected limb.
3.Efficacy of local injection of triamcinolone acetonide combined with surgery in the treatment of mass-type granulomatous mastitis
Yanjie LI ; Yonggang LÜ ; Fuqing JI ; Xin XU ; Jun YUN ; Jun YI
Journal of Xi'an Jiaotong University(Medical Sciences) 2023;44(5):773-778
【Objective】 To analyze the efficacy and safety of intralesional triamcinolone acetonide in the treatment of mass granulomatous mastitis (GLM). 【Methods】 Retrospective analysis was made on 67 patients with GLM who were treated in Xijing Hospital from July 2021 to May 2022 and met the inclusion criteria. Among them, 31 patients were treated with local injection of triamcinolone acetonide, while 36 ones were treated with oral methylprednisolone. All the included patients underwent surgical treatment after their condition met the surgical criteria, and the follow-up period lasted for up to six months after surgery. The two groups were compared in improvement of symptoms and signs, treatment time, clinical effectiveness and safety, and recurrence rate. 【Results】 The effective rate of triamcinolone acetonide group and methylprednisolone group was 100%, but the clinical cure rate was significantly higher in triamcinolone acetonide group than in methylprednisolone group in stratified analysis (P<0.05). The improvement time of symptoms and signs in triamcinolone acetonide group was significantly shorter than that in methylprednisolone group (P<0.05). The incidence of side effects in triamcinolone acetonide group was also significantly reduced compared to methylprednisolone group (P<0.05). Follow-up for half a year showed no recurrence in both groups. 【Conclusion】 Compared with the traditional oral methylprednisolone group, local injection of triamcinolone acetonide in the treatment of mass granulomatous mastitis can rapidly relieve clinical symptoms and signs, shorten treatment time, and has higher efficiency and fewer side effects. Local injection of hormone combined with surgery is effective in treating mass granulomatous mastitis with low recurrence rate.
4.A multicenter study of brain T 2WI lesions radiomics machine learning models distinguishing multiple sclerosis and neuromyelitis optica spectrum disorder
Ting HE ; Yi MAO ; Zhi ZHANG ; Zhizheng ZHUO ; Yunyun DUAN ; Lin WU ; Yuxin LI ; Ningnannan ZHANG ; Xuemei HAN ; Yanyan ZHU ; Yao WANG ; Xiao LIANG ; Yongmei LI ; Haiqing LI ; Fuqing ZHOU ; Ya′ou LIU
Chinese Journal of Radiology 2022;56(12):1332-1338
Objective:To investigate the efficacy of a machine learning model based on radiomics of brain lesions on T 2WI in differentiating multiple sclerosis (MS) from neuromyelitis optica spectrum disorders (NMOSD). Methods:Totally 223 MS and NMOSD patients who were treated from January 2009 to September 2018 in Beijing Tiantan Hospital Affiliated to Capital Medical University, Donghu Branch of the First Affiliated Hospital of Nanchang University, Tianjin Medical University General Hospital, and Xuanwu Hospital of Capital Medical University were analyzed retrospectively, and according to the proportion of 7∶3, 223 patients were completely randomly divided into training set (156 cases) and test set (67 cases). A total of 74 patients with MS and NMOSD who were treated in Huashan Hospital Affiliated to Fudan University and China-Japan Friendship Hospital of Jilin University from January 2009 to September 2018 and in Xianghu Branch of the First Affiliated Hospital of Nanchang University from March 2020 to September 2021 were collected as an independent external validation set. All patients underwent brain cross-sectional MR T 2WI, radiomics features were extracted from T 2WI, and features were selected by max-relevance and min-redundancy and least absolute shrinkage and selection operator algorithms. Then various machine learning classifier models (logistic regression, decision tree, AdaBoost, random forest or support vector machine) were constructed to differentiate MS from NMOSD. The area under curve (AUC) of receiver operating characteristics was used to evaluate the performance of each classifier model in the training set, test set and external validation set. Results:Based on multi-center T 2WI, a total of 11 radiomics features related to the discrimination between MS and NMOSD were extracted and classifier models were constructed. Among them, the random forest model had the best efficiency in distinguishing MS from NMOSD, and its AUC values for distinguishing MS from NMOSD in the training set, test set and external validation set were 1.000, 0.944 and 0.902, with specificity of 100%, 76.9% and 86.0%, and sensitivity of 100%, 92.1% and 79.7%, respectively. Conclusion:The random forest model based on the radiomic features of T 2WI of brain lesions can effectively distinguish MS from NMOSD.

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