1.Nomogram model based on enhanced MRI radiomics,deep learning and clinical features for differentiating spinal tuberculosis and pyogenic spondylitis
Xirui LI ; Dezhi WANG ; Xiaonan YANG ; Jie LI ; Dapeng HAO ; Jiufa CUI
Chinese Journal of Medical Imaging Technology 2025;41(1):122-127
Objective To observe the efficacy of nomogram model based on enhanced MRI radiomics,deep learning(DL)and clinical features for differentiating spinal tuberculosis and pyogenic spondylitis.Methods Totally 59 cases of spinal tuberculosis and 66 of pyogenic spondylitis were retrospectively enrolled.Radiomics,DL and clinical features relevant to differentiating spinal tuberculosis and pyogenic spondylitis were selected.Then a predictive model was constructed using logistic regression based on the selected optimal features,and a comprehensive nomogram model was developed through combination of the above features.The effectiveness of these models for distinguishing spinal tuberculosis from pyogenic spondylitis were visualized based on receiver operating characteristic curves,calidration curves and decision curves.Results The nomogram model demonstrated the highest area under the curve(AUC)in both training set and test set,with AUC of 0.997 and 0.920,respectively.In test set,DeLong test indicated that the difference of AUC between the nomogram model and clinical model was significant(P=0.002),while no significant difference was observed between the nomogram model and the other models(all P>0.05).The nomogram model provided the highest overall net benefit and exhibited good calibration for distinguishing spinal tuberculosis from pyogenic spondylitis.Conclusion Nomogram model based on enhanced MRI radiomics,DL and clinical features demonstrated high efficacy for differentiating spinal tuberculosis from pyogenic spondylitis.
2.Nomogram model based on enhanced MRI radiomics,deep learning and clinical features for differentiating spinal tuberculosis and pyogenic spondylitis
Xirui LI ; Dezhi WANG ; Xiaonan YANG ; Jie LI ; Dapeng HAO ; Jiufa CUI
Chinese Journal of Medical Imaging Technology 2025;41(1):122-127
Objective To observe the efficacy of nomogram model based on enhanced MRI radiomics,deep learning(DL)and clinical features for differentiating spinal tuberculosis and pyogenic spondylitis.Methods Totally 59 cases of spinal tuberculosis and 66 of pyogenic spondylitis were retrospectively enrolled.Radiomics,DL and clinical features relevant to differentiating spinal tuberculosis and pyogenic spondylitis were selected.Then a predictive model was constructed using logistic regression based on the selected optimal features,and a comprehensive nomogram model was developed through combination of the above features.The effectiveness of these models for distinguishing spinal tuberculosis from pyogenic spondylitis were visualized based on receiver operating characteristic curves,calidration curves and decision curves.Results The nomogram model demonstrated the highest area under the curve(AUC)in both training set and test set,with AUC of 0.997 and 0.920,respectively.In test set,DeLong test indicated that the difference of AUC between the nomogram model and clinical model was significant(P=0.002),while no significant difference was observed between the nomogram model and the other models(all P>0.05).The nomogram model provided the highest overall net benefit and exhibited good calibration for distinguishing spinal tuberculosis from pyogenic spondylitis.Conclusion Nomogram model based on enhanced MRI radiomics,DL and clinical features demonstrated high efficacy for differentiating spinal tuberculosis from pyogenic spondylitis.
3.Effects of Hermetia illucens larvae meal on immune function,intestinal morphol-ogy and microflora of Sichuan white geese
Dezhi ZHANG ; Xifeng LI ; Fuxing GUI ; Chonghua ZHONG ; Huan HUANG ; Pingrui YANG ; Yongfeng HAO ; Liting CAO
Chinese Journal of Veterinary Science 2025;45(2):369-378
This experiment was conducted to study the effects of replacing feed protein by Herme-tia illucens larvae meal on immune function,intestinal morphology and microflora of Sichuan white geese.A total of 64 healthy 1-day-old Sichuan white geese were randomly allocated into 4 groups with 4 replicates in each group and 4 geese in each replicate,namely the control group,the 2%HILM,4%HILM and 8%HILM groups fed diets contained 0%,2%,4%and 8%of HILM,re-spectively.The experimental period was 40 days.The results showed that compared with the con-trol group,8%HILM increased the levels of serum IgG1,IgG2a and complement C3,and the difference was statistically significant(P<0.01).4%HILM significantly increased the expression level of CD4(P<0.05),and 8%HILM significantly increased the expression level of IL-10(P<0.05).The ratio of villus length to crypt depth(VH/CD)in the jejunum and ileum in 4%HILM group was significantly increased(P<0.05).The SIgA level of jejunum was significantly increased in all HILM replacement groups(P>0.05).The abundance of Bacteroides in 4%HILM group were extremely significantly increased(P<0.01),and the abundance of Bilophila and Bilophila wadsworthia were significantly decreased in all HILM replacement groups(P<0.05).In conclu-sion,HILM can enhance the immune function of Sichuan white geese,improve the intestinal mor-phology of jejunum and ileum,enhance the local mucosal immunity of jejunum,increase the abun-dance of beneficial bacteria in cecum and decrease the abundance of harmful bacteria in cecum,and protect intestinal health.
4.Effects of Hermetia illucens larvae meal on immune function,intestinal morphol-ogy and microflora of Sichuan white geese
Dezhi ZHANG ; Xifeng LI ; Fuxing GUI ; Chonghua ZHONG ; Huan HUANG ; Pingrui YANG ; Yongfeng HAO ; Liting CAO
Chinese Journal of Veterinary Science 2025;45(2):369-378
This experiment was conducted to study the effects of replacing feed protein by Herme-tia illucens larvae meal on immune function,intestinal morphology and microflora of Sichuan white geese.A total of 64 healthy 1-day-old Sichuan white geese were randomly allocated into 4 groups with 4 replicates in each group and 4 geese in each replicate,namely the control group,the 2%HILM,4%HILM and 8%HILM groups fed diets contained 0%,2%,4%and 8%of HILM,re-spectively.The experimental period was 40 days.The results showed that compared with the con-trol group,8%HILM increased the levels of serum IgG1,IgG2a and complement C3,and the difference was statistically significant(P<0.01).4%HILM significantly increased the expression level of CD4(P<0.05),and 8%HILM significantly increased the expression level of IL-10(P<0.05).The ratio of villus length to crypt depth(VH/CD)in the jejunum and ileum in 4%HILM group was significantly increased(P<0.05).The SIgA level of jejunum was significantly increased in all HILM replacement groups(P>0.05).The abundance of Bacteroides in 4%HILM group were extremely significantly increased(P<0.01),and the abundance of Bilophila and Bilophila wadsworthia were significantly decreased in all HILM replacement groups(P<0.05).In conclu-sion,HILM can enhance the immune function of Sichuan white geese,improve the intestinal mor-phology of jejunum and ileum,enhance the local mucosal immunity of jejunum,increase the abun-dance of beneficial bacteria in cecum and decrease the abundance of harmful bacteria in cecum,and protect intestinal health.
5.Preoperative Evaluation of Cervical Lymph Node Metastasis in Patients With Hashimoto's Thyroiditis Combined With Thyroid Papillary Carcinoma Using Machine Learning and Radiomics-Based Features:A Preliminary Study
Ruqian FU ; Shi DENG ; Yuting HU ; Peng LUO ; Hao YANG ; Hua TENG ; Dezhi ZENG ; Jianli REN
Journal of Sichuan University (Medical Sciences) 2024;55(4):1026-1033
Objective To analyze the radiomic and clinical features extracted from 2D ultrasound images of thyroid tumors in patients with Hashimoto's thyroiditis(HT)combined with papillary thyroid carcinoma(PTC)using machine learning(ML)models,and to explore the diagnostic performance of the method in making preoperative noninvasive identification of cervical lymph node metastasis(LNM).Methods A total of 528 patients with HT combined with PTC were enrolled and divided into two groups based on their pathological results of the presence or absence of LNM.The groups were subsequently designated the With LNM Group and the Without LNM Group.Three ultrasound doctors independently delineated the regions of interest and extracted radiomic features.Two modes,radiomic features and radiomics-clinical features,were used to construct random forest(RF),support vector machine(SVM),LightGBM,K-nearest neighbor(KNN),and XGBoost models.The performance of these five ML models in the two modes was evaluated by the receiver operating characteristic(ROC)curves on the test dataset,and SHapley Additive exPlanations(SHAP)was used for model visualization.Results All five ML models showed good performance,with area under the ROC curve(AUC)ranging from 0.798 to 0.921.LightGBM and XGBoost demonstrated the best performance,outperforming the other models(P<0.05).The ML models constructed with radiomics-clinical features performed better than those constructed using only radiomic features(P<0.05).The SHAP visualization of the best-performing models indicated that the anteroposterior diameter,superoinferior diameter,original_shape_VoxelVolume,age,wavelet-LHL_firstorder_10Percentile,and left-to-right diameter had the most significant effect on the LightGBM model.On the other hand,the superoinferior diameter,anteroposterior diameter,left-to-right diameter,original_shape_VoxelVolume,original_firstorder_InterquartileRange,and age had the most significant effect on the XGBoost model.Conclusion ML models based on radiomics and clinical features can accurately evaluate the cervical lymph node status in patients with HT combined with PTC.Among the 5 ML models,LightGBM and XGBoost demonstrate the best evaluation performance.
6.Differentiating benign and malignant myxoid soft tissue tumors based on multiparametric MRI radiomics and deep learning models
Xiaonan YANG ; Dezhi WANG ; Chengjian WANG ; Dapeng HAO ; Wenjian XU ; Jiufa CUI
Chinese Journal of Medical Imaging Technology 2024;40(7):1078-1082
Objective To observe the value of multiparametric MRI-based radiomics model and deep learning(DL)model for distinguishing benign and malignant myxoid soft tissue tumors(MSTT).Methods A total of 141 MSTT patients confirmed with pathology were retrospectively collected.The patients were randomly divided into training set(n=98,including 51 cases of malignant MSTT and 47 cases of benign MSTT)and test set(n=43,including 22 cases of malignant MSTT and 21 cases of benign MSTT)at the ratio of 7∶3.Based on T1WI and fat suppression(FS)-T2WI in training set,radiomics features and DL features were extracted and selected,then a radiomics model and a DL model were constructed,respectively.Receiver operating characteristic(ROC)curves,calibration curves and decision curves were drawn,and the discrimination,calibration and net benefit of these 2 models were compared.Results In training set,the radiomics model for differentiating benign and malignant MSTT was constructed according to 9 optimal radiomics features,including 2 first order features,1 shape feature,3 gray level co-occurrence matrix features,1 gray level dependence matrix feature and 2 gray level size zone matrix features,while DL model was built based on 7 optimal DL features.In test set,the area under the ROC curve of radiomics model and DL model was 0.758 and 0.911,respectively,the latter was higher than the former(P=0.017).Both models had good calibration,and DL model had higher overall net benefit.Conclusion Compared with radiomics model,DL model based on MRI had better ability to differentiating benign and malignant MSTT,also higher overall net benefit.
7.Effect and safety of double plasma molecular absorption in treatment of patients with severe wasp stings injury: a multicenter historical cohort study
Tingqiu WEI ; Huafeng LIAO ; Junxin XIAO ; Dezhi ZENG ; Shaowu CHEN ; Hao JU ; Hua WANG ; Wencong FENG ; Jiazheng HUANG
Chinese Critical Care Medicine 2023;35(3):263-268
Objective:To compare the effect and safety of continuous veno-venous hemofiltration (CVVH)+double plasma molecular absorption (DPMA)+hemoperfusion (HP), CVVH+HP, and CVVH+plasma exchange (PE) in treatment of patient with severe wasp stings injury.Methods:Multicenter, historical cohort study and superiority test were used. From July 2020 to October 2022, patients with wasp sting injury and multiple organ damage admitted to the intensive care units (ICU) of five hospitals were consecutively screened and recruited into the CVVH+DPMA+HP group (intervention group). Propensity score matching was used to establish historical cohorts. Patients with severe wasp sting injury who hospitalized from January 2016 to June 2020 in each ICU were collected and matched 1∶1 with the intervention group, and divided into CVVH+HP group and CVVH+PE group according to their actual hemopurification protocols (historical control groups). The primary outcome was the acute physiology and chronic health evaluation Ⅱ (APACHE Ⅱ) score on days 3 and 7 after initiation of treatment. Secondary outcomes included complications, length of ICU and hospital stays, and all-cause mortality. Multivariate Cox proportional risk regression was used to analyze the prognosis of patients.Results:After propensity score matching, 56 patients in intervention group and each of the two historical control groups were matched successfully. There were no significant differences in age, gender, comorbidities, biochemical test indices and critical illness scores among the groups. After treatment, APACHE Ⅱ score markedly declined in all groups, and the decrease was faster in the intervention group; treatment with DPMA [hazard ratio ( HR) = 1.04, 95% confidence interval (95% CI) was 1.02-1.08, P = 0.00], the decreased levels of body temperature ( HR = 1.02, 95% CI was 1.00-1.03, P = 0.02), serum creatine kinase (CK; HR = 0.98, 95% CI was 0.96-1.00, P = 0.05) and myoglobin (MYO; HR = 2.88, 95% CI was 1.24-6.69, P = 0.01) were independent risk factors for APACHE Ⅱ score decline to the target value (15 scores). There were no significant differences in the incidence of bleeding complications, filter or perfusion thrombosis, blood pressure reduction, catheter-related infection and anaphylaxis among the groups. Conclusion:CVVH+DPMA+HP regimen can significantly reduce the APACHE Ⅱ score of patients with severe wasp sting injury, and the efficacy is superior to CVVH+HP and CVVH+PE regimens, with safety.
8.Drug Discovery Investigation of Nourishing Kidney-yin And Warming Kidney-yang Granules in Prevention And Treatment of Primary Osteoporosis Based on Theory of "Treating Both Disease And Traditional Chinese Medicine Syndrome"
Dongfeng ZHAO ; Bing SHU ; Dezhi TANG ; Yan ZHANG ; Yongjian ZHAO ; Chenguang LI ; Qiang WANG ; Qianqian LIANG ; Xuejun CUI ; Yanping YANG ; Hao XU ; Qi SHI ; Yongjun WANG
World Science and Technology-Modernization of Traditional Chinese Medicine 2017;19(11):1768-1772
Nourishing kidney-yin (NKY) granules and warming kidney-yang (WKY) granules represent one of the prescriptions that prescribed in treating primary osteoporosis (POP) in light of tonifying kidney and nourishing essence principle as well as the theory of "treating both the disease and traditional Chinese medicine (TCM) syndrome".Both granules were created through the systematic analysis of clinic prescriptions by Professor Shi Qi.Consequently clinical investigations have well established that NKY granules significant improved bone mineral density (BMD) as well as relieved the kidney-yin deficiency syndromes in POP patients.Meanwhile,WKY granules relieve kidney-yang deficiency syndrome and the quality of life (QOL).What is more,pharmacological study established the application of common cnidium fruit,and fructus ligustri lucidi alleviated bone loss in OVX-induced mice.In addition,investigation with effective components identified that both NKY and WKY granules play systematic pharmacological effects on bone remodeling by regulating the expression of BMP/Smad,Wnt/β-catenin,RANKL/RANK/OPG axis,and Notch.The drug discovery was performed by the lead of traditional Chinese medicine (TCM) theory.It is one successful transformation investigation based on pharmacological effects,clinical intervention,animal model,cell culture and molecular investigation.
9.Sebaceoma:a clinicopathological analysis of 31 cases
Lixiong GU ; Dezhi ZHANG ; Xiaoyan WU ; Xuebao SHAO ; Amei LI ; Shengju YANG ; Shuanglin CAO ; Xiaodong CHEN ; Hao CHEN
Chinese Journal of Dermatology 2016;49(8):555-557
Objective To analyze clinicopathologic features of sebaceoma. Methods Clinical, pathologic and immunohistochemical findings from 31 cases of sebaceoma were retrospectively analyzed. The clinicopathologic features of sebaceoma were investigated. Results There were 9 males and 22 females. The patients′ age was 53.90 ± 15.40 years, and the clinical course was 9.41 ± 13.75 years. Sebaceoma predominantly affected the face. The common lesion of sebaceoma was red, yellowish?red, skin?colored or slight brown papules, with no subjective symptoms in most cases. Histopathologically, neoplasms had symmetric structures, and were located in the dermis. Epidermal involvements were found in 9 cases. The neoplasm cells were mainly composed of basaloid cells, a few mature sebocytes and some transition cells. The proportion of mature sebocyts was less than 1%in 26 cases, less than 20%in 2 cases, and 20%-40%in 3 cases. Mitoses were occasionally found in 5 cases. One patient was complicated by eccrine poroma. Varying amounts of ducts were found in all the patients. Immunohistochemical staining showed that epithelial membrane antigen was expressed on ducts and mature sebocytes in all the patients, while epithelial antigen was undetected in any of the patients. Carcinoembryonic antigen, androgen receptor and D2?40 were found in 20, 24 and 28 patients with sebaceoma, respectively. Conclusions The diagnosis of sebaceoma mainly depends on histopathological examination. Combined immunohistochemical detection of epithelial membrane antigen, androgen receptor and D2?40 is beneficial to its differential diagnosis.
10.Effect of Complex of Neural Stem Cells, Schwann Cells, and Poly (Lactic-co-glycolic Acid) Scaffolds Transplant on Spinal Cord Injured Rats
Lei XIA ; Shuyu HAO ; Dezhi LI ; Gang CHEN ; Chuanchuan GAO ; Junhua LI ; Hong WAN
Chinese Journal of Rehabilitation Theory and Practice 2012;18(5):417-419
Objective To explore the effect of transplanting poly (lactic-co-glycolic acid) (PLGA) scaffolds seeded with neural stemcells (NSCs) and Schwann cells (SCs) on spinal cord injured rats and the mechanism. Methods NSCs and SCs were cultured in vitro andthen seeded into the directional PLGA scaffolds. Then PLGA-cell complexes were implanted into the spinal cord hemisected rats, whichwere divided into PLGA group, PLGA+NSCs group and PLGA+ NSC+SCs group. The rats were tested with cortical motor evoked potentials(CMEPs) and Basso-Beattle-Bresnahan (BBB) score. Then, the rats were further ipsilaterally or contralateral hemisected at T6 and testedwith CMEPs and BBB score again. Results The incidence of recovery and the amplitudes of CMEPs were the highest in PLGA+NSCs+SCs group. The rats exhibited a gradual improvement in hindlimb locomotor function in score. The BBB score was the least in the PLGAgroup in the 2nd week or later. After retransected ipsilaterally, the CMEPs disappeared again and the BBB score improved quickly. But afterretransected contralaterally, the rats were completely paraplegia. Conclusion The directional PLGA scaffolds seeded with NSCs and SCs facilitatethe recovery in spinal cord injured rats, which may associate with axonal regeneration and functional connections, but play a limitedrole.


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