BACKGROUND:At present,the treatment methods for necrotizing fasciitis mostly use negative pressure sealing suction after thorough debridement.This method requires repeated debridement to completely remove necrotic infected tissue,causing serious physical and economic burdens to patients. OBJECTIVE:To introduce a rare clinical case of calf compartment syndrome caused by diabetic foot necrotizing fasciitis,and summarize the clinical experience of using antibiotic-loaded bone cement for treatment and comprehensive management. METHODS:A total of 6 patients with calf compartment syndrome caused by diabetic necrotizing fasciitis admitted to Wuxi 9th Affiliated Hospital of Soochow University from August 2017 to August 2020 were selected,including 5 males and 1 female with an average age of 54 years.During the perioperative period,the patients'general condition was evaluated and systemic nutritional support treatment was given.In the first stage,all patients received complete debridement to control infection,antibiotic-loaded bone cement packing,and negative pressure sealed drainage.In the second stage,bone cement was removed and wound repair was performed.The wound healing,as well as the occurrence of redness,swelling,and exudation was observed during the follow-up. RESULTS AND CONCLUSION:(1)The wounds of four patients were fresh after twice antibiotic-loaded bone cement packing,and the membrane formation was good,and one patient was good after three times of antibiotic-loaded bone cement packing,and the wounds of all five patients healed well after the second stage of skin grafting.Due to the difficulty in maintaining intraoperative blood pressure and infection in all four compartments of the lower leg,a patient underwent emergency knee amputation.Meanwhile,the stump wound was placed with antibiotic-loaded bone cement.The wound was closed directly after the secondary bone cement was removed,and the wound healed in the first stage.(2)The six patients were followed up for 6-24 months after discharge.At the last follow-up,all six patients had good wound healing and no symptoms such as redness,swelling,and exudation.The quality of life of the patients was significantly improved,and all of them were satisfied with the curative effect.(3)The occurrence of calf compartment syndrome should be vigilant when diabetic foot necrotizing fasciitis is highly suspected.Early diagnosis and timely incision decompression are of great importance.Besides,the application of antibiotic-loaded bone cement in the treatment of calf compartment syndrome caused by diabetic necrotizing fasciitis has a good short-term effect.

BACKGROUND:Mechanical stimulation has been confirmed to promote osteogenic differentiation of bone marrow stromal stem cells,but the mechanism is unknown.Primary cilia are important mechanoreceptors and regulate various signaling pathways such as TGF-β1/BMP-2/SMAD.They are likely to be important targets for mechanical regulation of bone marrow stromal stem cells. OBJECTIVE:To investigate the effect and mechanism of fluid shear stress on osteogenic differentiation of bone marrow stromal stem cells. METHODS:Rat bone marrow stromal stem cells were divided into control group,mechanical stimulation group(fluid shear mechanics intervention by shaking table),mechanical stimulation + IFT88 silencing group(mechanical stimulation + silencing IFT88 expression with siRNA).After 24 hours of intervention,qRT-PCR was utilized to determine the expression of transforming growth factor β1 and bone morphogenetic protein 2.Western blot assay was used to detect the expression of phosphorylated SMAD2/3 protein.Immunofluorescent staining of primary cilia was conducted and morphology was analyzed. RESULTS AND CONCLUSION:Shear stress stimulation could promote the transcriptional activity of transforming growth factor β1 and bone morphogenetic protein 2 genes,and increase the expression of phosphorylated SMAD2/3 protein.After siRNA interfered with primary cilia,this mechanical response effect was significantly reduced.There was a Spearman correlation between the change ratio of the primary cilium area of bone marrow stromal stem cells and the increased ratio of transforming growth factor β1 and bone morphogenetic protein 2 gene transcription.These findings indicate that primary cilia/intraflagellar transport mediates the activation of fluid shear stress-responsive transforming growth factor β1/bone morphogenetic protein 2/SMAD signaling pathway and promotes osteogenic differentiation of bone marrow stromal stem cells.

BACKGROUND:Cervical neutral position magnetic resonance imaging is widely used for the diagnosis and treatment of cervical spondylotic myelopathy.However,it is not possible for patients to maintain the exact same position of the head and neck during repeated cervical magnetic resonance imaging examinations.The cervical spine undergoes minor flexion and extension movements in the sagittal plane,and the head may have a certain degree of variation in flexion and extension.Whether these changes in the neutral position of the cervical spine affect the volume of cervical discs herniation and cervical curvature is unclear. OBJECTIVE:Using artificial intelligence-assisted measurement,this study aimed to analyze the accuracy and reliability of magnetic resonance imaging examinations for measuring the volume of cervical discs herniation and cervical curvature in patients with cervical spondylotic myelopathy undergoing two consecutive cervical neutral positions in the short term. METHODS:A retrospective study was conducted on patients with cervical spondylotic myelopathy who underwent conservative treatment and underwent two consecutive cervical magnetic resonance imaging examinations within three months between June 2012 and June 2023.We proposed the use of occipital-thoracic distance and occipital-thoracic angle to evaluate the variation in flexion and extension of the head in the neutral position of the cervical spine.Based on the changes in occipital-thoracic angle,patients were divided into occipital-thoracic angle increase group and occipital-thoracic angle decrease group.Cervical discs herniation volume,C2-6 Cobb angle,and cervical(C3-C7)curvature were measured using artificial intelligence-assisted measurement software.Normal distribution data were represented by mean±SD,while non-normal distribution data were represented by the median(interquartile range).Spearman's rank correlation coefficient was used to analyze the correlation between changes in Cobb angle,cervical(C3-C7)curvature,and cervical discs herniation volume. RESULTS AND CONCLUSION:(1)A total of 104 patients and 326 cervical discs herniation were included in the study.There were 47 patients in the occipital-thoracic angle increase group and 57 patients in the occipital-thoracic angle decrease group.(2)Extension and flexion index of the head:There were no significant differences in occipital-thoracic distance and occipital-thoracic angle during the initial diagnosis and follow-up examination.The variation of occipital-thoracic distance was 0.035(3.23)mm,and the variation of occipital-thoracic angle was-0.31(3.28)°.The deviation range of occipital-thoracic distance and occipital-thoracic angle was small,and there was no significant correlation.(3)Cervical curvature index:There were no significant differences in C2-6 Cobb angle and C3-C7 curvature during the initial diagnosis and follow-up examination.There were no significant differences in C2-6 Cobb angle and C3-C7 curvature between the occipital-thoracic angle increase group and occipital-thoracic angle decrease group.(4)There was no significant difference in volume of cervical discs herniation during the initial diagnosis and follow-up examination.There was no significant difference in volume of cervical discs herniation between the occipital-thoracic angle increase group and occipital-thoracic angle decrease group.There was no significant correlation between the change of cervical discs herniation volume and the change of C2-6 Cobb angle and the cervical(C3-C7)curvature.(5)These results indicate that in the neutral position of the cervical spine,there were negligible minor flexion and extension movements in the sagittal plane,and the head was limited to a specific position.Although the head has a certain range of flexion and extension variation,it does not affect the accuracy and reliability of parameters including cervical discs herniation volume,C2-6 Cobb angle,and cervical(C3-C7)curvature.

BackgroundBariatric surgery has emerged as an important tool in the management of obesity. Some patients undergoing bariatric surgery are prone to develop emotional abnormalities and have abnormally elevated concentrations of inflammatory factors level in peripheral blood， whereas current domestic research focusing on the impact of preoperative emotional states and peripheral blood inflammatory factors level on weight loss effect remains limited. ObjectiveTo explore the correlation of preoperative emotional abnormalities with the effectiveness of bariatric surgery in obese patients， and to provide theoretical basis for improving the clinical efficacy of bariatric surgery. MethodsEighty-one obese patients scheduled for bariatric surgery at gastrointestinal surgery Department of West China Hospital， Sichuan University from December 30， 2022 to June 30， 2023 were enrolled and assessed using Hamilton Depression Scale-17 item （HAMD-17） and Hamilton Anxiety Scale （HAMA）. Patients who scored 7 or above on HAMD-17 or HAMA or had a history of previous depression or anxiety diagnoses were classified into emotional abnormality group （n=34）， and samples who scored less than 7 on HAMD-17 and HAMA and were free of history of previous depression and anxiety diagnoses were set as non-emotional abnormality group （n=47）. The data were collected by the self made questionnaire. Patients were subjected to complete the assessment of Beck Scale for Suicide Ideation-Chinese Version （BSI-CV）， Eating Disorder Inventory （EDI） and Pittsburgh Sleep Quality Index （PSQI）. Laboratory tests including peripheral blood C-reactive protein （CRP） and interleukin-6 （IL-6）. Body weight and height assessed in the early morning after an overnight fasting period were recorded in all participants at 1- and 6-month after surgery through outpatient clinic visits or telephone follow-up. Pearson correlation coefficient was used to examine relationship among body mass index （BMI）， preoperative emotional states and peripheral blood inflammation mediators. ResultsAmong 81 obese patients， 62 completed the study， including 27 cases in emotional abnormality group and 35 cases in non-emotional abnormality group. Emotional abnormality group scored higher on BSI-CV （current）， BSI-CV （worst）， EDI and PSQI， and detected higher levels of CRP and IL-6 compared with non-emotional abnormality group （Z=2.677， 2.975， t=3.573， 4.035， 1.990， 2.799， P<0.05 or 0.01）. For BMI， there was no significant group effect and time×group interaction effect （P>0.05）， but a significant time effect （F=227.740， P<0.01）. Within emotional abnormality group， BMI at the baseline， 1- and 6-month after surgery showed a positive correlation with IL-6 level （r=0.419， 0.510， 0.559， P<0.05 or 0.01）， BMI at 6-month after surgery was positively correlated with HAMD-17 total score （r=0.390， P<0.05）， and ΔBMI% at 6-month after surgery was negatively correlated with HAMD-17 total score （r=-0.421， P<0.05）. Within non-emotional abnormality group， baseline BMI was positively correlated with IL-6 level （r=0.338， P<0.01）. ConclusionThe short-term effect of bariatric surgery may be comparable in obese patients with or without emotional abnormalities， while it cannot be ruled out whether the outcome of bariatric surgery is related to the severity of preoperative depression.

Objective To evaluate the performance of magnetic resonance imaging(MRI)multi-sequence feature imputation and fusion mutual model based on sequence deletion in differentiating high-grade glioma(HGG)from low-grade glioma(LGG).Methods We retrospectively collected multi-sequence MR images from 305 glioma patients,including 189 HGG patients and 116 LGG patients.The region of interest(ROI)of T1-weighted images(T1WI),T2-weighted images(T2WI),T2 fluid attenuated inversion recovery(T2_FLAIR)and post-contrast enhancement T1WI(CE_T1WI)were delineated to extract the radiomics features.A mutual-aid model of MRI multi-sequence feature imputation and fusion based on sequence deletion was used for imputation and fusion of the feature matrix with missing data.The discriminative ability of the model was evaluated using 5-fold cross-validation method and by assessing the accuracy,balanced accuracy,area under the ROC curve(AUC),specificity,and sensitivity.The proposed model was quantitatively compared with other non-holonomic multimodal classification models for discriminating HGG and LGG.Class separability experiments were performed on the latent features learned by the proposed feature imputation and fusion methods to observe the classification effect of the samples in two-dimensional plane.Convergence experiments were used to verify the feasibility of the model.Results For differentiation of HGG from LGG with a missing rate of 10%,the proposed model achieved accuracy,balanced accuracy,AUC,specificity,and sensitivity of 0.777,0.768,0.826,0.754 and 0.780,respectively.The fused latent features showed excellent performance in the class separability experiment,and the algorithm could be iterated to convergence with superior classification performance over other methods at the missing rates of 30%and 50%.Conclusion The proposed model has excellent performance in classification task of HGG and LGG and outperforms other non-holonomic multimodal classification models,demonstrating its potential for efficient processing of non-holonomic multimodal data.

Objective To evaluate the performance of magnetic resonance imaging(MRI)multi-sequence feature imputation and fusion mutual model based on sequence deletion in differentiating high-grade glioma(HGG)from low-grade glioma(LGG).Methods We retrospectively collected multi-sequence MR images from 305 glioma patients,including 189 HGG patients and 116 LGG patients.The region of interest(ROI)of T1-weighted images(T1WI),T2-weighted images(T2WI),T2 fluid attenuated inversion recovery(T2_FLAIR)and post-contrast enhancement T1WI(CE_T1WI)were delineated to extract the radiomics features.A mutual-aid model of MRI multi-sequence feature imputation and fusion based on sequence deletion was used for imputation and fusion of the feature matrix with missing data.The discriminative ability of the model was evaluated using 5-fold cross-validation method and by assessing the accuracy,balanced accuracy,area under the ROC curve(AUC),specificity,and sensitivity.The proposed model was quantitatively compared with other non-holonomic multimodal classification models for discriminating HGG and LGG.Class separability experiments were performed on the latent features learned by the proposed feature imputation and fusion methods to observe the classification effect of the samples in two-dimensional plane.Convergence experiments were used to verify the feasibility of the model.Results For differentiation of HGG from LGG with a missing rate of 10%,the proposed model achieved accuracy,balanced accuracy,AUC,specificity,and sensitivity of 0.777,0.768,0.826,0.754 and 0.780,respectively.The fused latent features showed excellent performance in the class separability experiment,and the algorithm could be iterated to convergence with superior classification performance over other methods at the missing rates of 30%and 50%.Conclusion The proposed model has excellent performance in classification task of HGG and LGG and outperforms other non-holonomic multimodal classification models,demonstrating its potential for efficient processing of non-holonomic multimodal data.

Objective To improve the CT image quality of the anorectal junction in venous phase using a new deep learning image reconstruction(DLIR)algorithm.Methods A retrospective analysis was conducted on 71 patients undergoing pelvic computed tomography(CT)scans.All CT images were reconstructed at a thin slice thickness of 0.625 mm using 50%ASiR-V,low-,medium-and high-intensity DLIR(DLIR-L,DLIR-M and DLIR-H).The CT attenuations and standard deviation values of anal canal and hip fat were measured for each reconstruction group.With the standard deviation of hip fat as background noise,the contrast-to-noise ratio(CNR)and signal-to-noise ratio(SNR)of anal canal were calculated.Two radiologists independently assessed image quality and diagnostic confidence for local invasion of rectal cancer using the 5-point Likert scale.The objective measurement indicators and subjective scores were analyzed and compared,and Kappa test was used to evaluate the consistency.Results The differences in CT value of anal canal and hip fat among the groups were trivial(P>0.05),but fat SD,anal canal SNR and CNR(P<0.05)differed significantly,with lowest fat SD,highest anal canal SNR and CNR in DLIR-H group,while highest fat SD,lowest anal canal SNR and CNR in 50%ASiR-V group.Compared with 50%ASiR-V group,DLIR-H group decreased fat SD by 44.3%,but increased anal canal SNR and CNR by 89.5%and 92.1%,respectively(P<0.05).The subjective score of 4 groups were significantly different(P<0.05),decreasing from DLIR-H to 50%ASiR-V,and the inter-group differences were significant(P<0.05),except the difference between 50%ASiR-V group and DLIR-L group(P>0.05).There was a statistically significant difference in the diagnostic confidence for local invasion of rectal cancer among different groups(P<0.05),and the scores were significantly higher in DLIR-M and DLIR-H groups than in 50%ASiR-V and DLIR-L groups(P<0.05).Conclusion Compared with the standard 50%ASiR-V image,DLIR-M and DLIR-H reconstruction algorithms can effectively improve the image quality for the anorectal junction in CT imaging.The higher-intensity DLIR results in better image quality and stronger ability to display fine structures,which can provide more evidences for clinical precision evaluation and personalized precision treatment.

Objective:To develop an occupational internal driving force measurement scale for general practitioners receiving residency training, and to investigate its reliability and validity.Methods:A pool of items was constructed for the scale based on the literature analysis and qualitative interview results of occupational internal driving force and the current development status of general practitioners, and then expert Delphi consultation was conducted to form the initial version of the scale. A questionnaire survey was conducted among 403 general practitioners to test the reliability and validity of the scale.Results:There were 11 items in the occupational internal driving force scale for general practitioners receiving residency training, which were divided into three dimensions. The scale had a Cronbach's α coefficient of 0.945, and each dimension had a Cronbach's α coefficient of above 0.850; the KMO coefficient of the Bartlett's sphericity test was 0.925. The factor analysis showed that all items had a factor load of ≥0.4 and a commonality of >0.2, and thus 11 items were retained. Three common factors were extracted by the factor analysis and the correlation analysis showed a correlation coefficient of >0 between the common factors of the total score of the scale and a significant positive correlation ( P<0.01). Based on the contents, theoretical research, and expert suggestions of each factor, they were named subject affiliation, development expectations, and identification needs, which contained 3 items, 3 items, and 5 items, respectively. Conclusions:The occupational internal driving force scale for general practitioners receiving residency training has a reasonable structure and good reliability and validity and is suitable for evaluating the occupational internal driving force of general practitioners, which provides guidance for the vocational education of residents.

Objective To evaluate the feasibility,safety and efficacy of three-port laparoscopic sleeve gastrectomy(LSG).Methods Clinical data of 130 patients with obesity who underwent LSG from April 2020 to January 2021 and completed follow-up in time were analyzed retrospectively.All patients were divided into two groups as surgical method,there were 52 cases in three-port group and 78 cases in four-port group.Perioperative indicators and improvement of obesity in two groups were compared.Results All procedures were performed via LSG.Compared with four-port group,the mean operative time of three-port group was shorter[(88.35±22.64)min vs.(98.29±26.25)min,P=0.027].There were no significant differences in amount of bleeding intraoperative,postoperative pain,postoperative drainage,hospital stay after operation,postoperative complication rate and weight loss 6 months and 2 years after surgery(P>0.05).Conclusions Under the premise of no increase in surgical complications and operative time,three-port LSG can reduce the number and size of surgical scars,which is conducive to skin beauty,and obtain the same weight loss effect as four-port LSG,and can be used as a routine operation for sleeve gastrectomy.

Objective: To investigate the image quality of ultralow-dose CT (ULDCT) of the chest reconstructed using a cycle-consistent generative adversarial network (CycleGAN)-based deep learning method in the evaluation of pulmonary tuberculosis. Materials and Methods: Between June 2019 and November 2019, 103 patients (mean age, 40.8 ± 13.6 years; 61 men and 42 women) with pulmonary tuberculosis were prospectively enrolled to undergo standard-dose CT (120 kVp with automated exposure control), followed immediately by ULDCT (80 kVp and 10 mAs). The images of the two successive scans were used to train the CycleGAN framework for image-to-image translation. The denoising efficacy of the CycleGAN algorithm was compared with that of hybrid and model-based iterative reconstruction. Repeated-measures analysis of variance and Wilcoxon signedrank test were performed to compare the objective measurements and the subjective image quality scores, respectively. Results: With the optimized CycleGAN denoising model, using the ULDCT images as input, the peak signal-to-noise ratio and structural similarity index improved by 2.0 dB and 0.21, respectively. The CycleGAN-generated denoised ULDCT images typically provided satisfactory image quality for optimal visibility of anatomic structures and pathological findings, with a lower level of image noise (mean ± standard deviation [SD], 19.5 ± 3.0 Hounsfield unit [HU]) than that of the hybrid (66.3 ± 10.5 HU, p < 0.001) and a similar noise level to model-based iterative reconstruction (19.6 ± 2.6 HU, p > 0.908). The CycleGAN-generated images showed the highest contrast-to-noise ratios for the pulmonary lesions, followed by the model-based and hybrid iterative reconstruction. The mean effective radiation dose of ULDCT was 0.12 mSv with a mean 93.9% reduction compared to standard-dose CT. Conclusion The optimized CycleGAN technique may allow the synthesis of diagnostically acceptable images from ULDCT of the chest for the evaluation of pulmonary tuberculosis.