Purpose To investigate the value of intratumoral and peritumoral radiomics features based on multi-parametric MRI for preoperative prediction of lymphovascular invasion(LVI)in clinical lymph node-negative(cN0)breast cancer.Materials and Methods This retrospective study included 280 patients with pathologically confirmed breast cancer who underwent preoperative MRI at Henan Provincial People's Hospital from January 2017 to May 2021.Patients were randomly divided into a training cohort and a testing cohort.After Z-score normalization,feature selection was performed using Select K Best and least absolute shrinkage and selection operator regression.Random forest algorithms were used to construct intratumoral,peritumoral,and combined intratumoral-peritumoral radiomics models for LVI prediction.Model performance and clinical utility were evaluated using the area under the receiver operating characteristic curve(AUC),calibration curves and decision curve analysis.Results High Ki-67 expression(≥20%),axillary lymph node metastasis and positive diffusion weighted imaging(DWI)margin sign were more common in the LVI-positive group(χ2=5.959,18.316,20.554,all P<0.05).In the testing cohort,the AUC values of the dynamic contrast-enhanced(DCE)-Intra and DCE-Com models for predicting LVI status were higher than those of the DWI sequence,whereas the AUC value of the DWI-Peri model was higher than that of the DCE sequence.The DWI-DCE-Com model achieved AUCs of 0.836 and 0.818 in the training and testing cohorts,respectively,which surpassed the predictive performance of single-sequence intratumoral-peritumoral radiomics models(DWI-Com,DCE-Com).Decision curve analysis showed that the DWI-DCE-Com model provided greater net clinical benefit across a reasonable range of threshold probabilities.Conclusion Radiomics models based on multiparametric MRI features from intratumoral and peritumoral regions can effectively predict LVI status in cN0 breast cancer,offering valuable support for preoperative individualized treatment decision-making.

Purpose To investigate the value of intratumoral and peritumoral radiomics features based on multi-parametric MRI for preoperative prediction of lymphovascular invasion(LVI)in clinical lymph node-negative(cN0)breast cancer.Materials and Methods This retrospective study included 280 patients with pathologically confirmed breast cancer who underwent preoperative MRI at Henan Provincial People's Hospital from January 2017 to May 2021.Patients were randomly divided into a training cohort and a testing cohort.After Z-score normalization,feature selection was performed using Select K Best and least absolute shrinkage and selection operator regression.Random forest algorithms were used to construct intratumoral,peritumoral,and combined intratumoral-peritumoral radiomics models for LVI prediction.Model performance and clinical utility were evaluated using the area under the receiver operating characteristic curve(AUC),calibration curves and decision curve analysis.Results High Ki-67 expression(≥20%),axillary lymph node metastasis and positive diffusion weighted imaging(DWI)margin sign were more common in the LVI-positive group(χ2=5.959,18.316,20.554,all P<0.05).In the testing cohort,the AUC values of the dynamic contrast-enhanced(DCE)-Intra and DCE-Com models for predicting LVI status were higher than those of the DWI sequence,whereas the AUC value of the DWI-Peri model was higher than that of the DCE sequence.The DWI-DCE-Com model achieved AUCs of 0.836 and 0.818 in the training and testing cohorts,respectively,which surpassed the predictive performance of single-sequence intratumoral-peritumoral radiomics models(DWI-Com,DCE-Com).Decision curve analysis showed that the DWI-DCE-Com model provided greater net clinical benefit across a reasonable range of threshold probabilities.Conclusion Radiomics models based on multiparametric MRI features from intratumoral and peritumoral regions can effectively predict LVI status in cN0 breast cancer,offering valuable support for preoperative individualized treatment decision-making.

Objective To observe the value of intratumoral and peritumoral radiomics based on diffusion weighted imaging(DWI)for predicting histological grade of breast cancer.Methods Preoperative DWI data of 700 patients with single breast cancer diagnosed by pathology were retrospectively analyzed.The patients were divided into training set(n= 560,including 381 of grade Ⅰ+Ⅱ and 179 of grade Ⅲ)and test set(n=140,including 95 of grade Ⅰ+Ⅱ and 45 of grade Ⅲ)at the ratio of 8∶2.Intratumoral ROI(ROIintra)was manually delineated on DWI,which was automatically expanded by 3 mm and 5 mm to decline peritumoral ROI(ROIperi,including ROI3 mm and ROI5 mm),then intratumoral-peritumoral ROI(ROIintra+3 mm,ROIintra+5 mm)were obtained.The optimal radiomics features were extracted and screened,and the radiomics model(RM)for predicting the histological grade of breast cancer were constructed.Receiver operating characteristic curves were drawn,and the areas under the curve(AUC)were calculated to evaluate the predictive efficacy of each model.Calibration curve method was used to evaluate the calibration degree,while decision curve analysis(DCA)was performed to explore the clinical practicability of each model.Results AUC of RMintra,RM+3 mm,RM+5mm,RMintra+3 mm and RMintra+5 mm was 0.750,0.724,0.749,0.833 and 0.807 in training set,while was 0.723,0.718,0.736,0.759 and 0.782 in test set,respectively.In training set,significant differences of AUC was found(all P＜0.01),while in test set,no significant difference of AUC was found among models(all P＞0.05).The calibrations of models were all high.DCA showed that taken 0.02-0.88 as the threshold,the clinical net benefit of RMintra+per were greater in training set,while taken 0.40-0.72 as the threshold,the clinical net benefit of RMintra+per was greater in test set.Conclusion Both DWI intratumoral and peritumoral radiomics could effectively predict histological grade of breast cancer.Combination of intratumoral and peritumoral radiomics was more effective.

OBJECTIVES: At present, there are many reports about the treatment of cricopharyngeal achalasia by injecting botulinum toxin type A (BTX-A) into cricopharyngeal muscle guided by ultrasound, electromyography or CT in China, but there is no report about injecting BTX-A into cricopharyngeal muscle guided by endoscope. This study aims to evaluate the efficacy of endoscopic BTX-A injection combined with balloon dilatation in the treatment of cricopharyngeal achalasia after brainstem stroke, and to provide a better method for the treatment of dysphagia after brainstem stroke. METHODS: From June to December 2022, 30 patients with cricopharyngeal achalasia due to brainstem stroke were selected from the Department of Rehabilitation Medicine, the First Hospital of Changsha. They were randomly assigned into a control group and a combined group, 15 patients in each group. Patients in both groups were treated with routine rehabilitation therapy, while patients in the control group were treated with balloon dilatation, and patients in the combined group were treated with balloon dilatation and BTX-A injection. Before treatment and after 2 weeks of treatment, the patients were examined by video fluoroscopic swallowing study, Penetration-aspiration Scale (PAS), Dysphagia Outcome Severity Scale (DOSS), and Functional Oral Intake Scale (FOIS) were used to assess the swallowing function. RESULTS: In the combined group, 1 patient withdrew from the treatment because of personal reasons. Two weeks after treatment, the scores of DOSS, PAS, and FOIS in both groups were better than those before treatment (all P<0.01), and the combined group was better than the control group (all P<0.001). The effective rate was 85.7% in the combined group and 66.7% in the control group, with no significant difference between the 2 groups (P>0.05). CONCLUSIONS BTX-A injection combined with balloon dilatation is more effective than balloon dilatation alone in improving swallowing function and is worthy of clinical application.
Humans ; Deglutition Disorders/therapy* ; Esophageal Achalasia/drug therapy* ; Dilatation/adverse effects* ; Botulinum Toxins, Type A/therapeutic use* ; Brain Stem Infarctions/drug therapy* ; Treatment Outcome

Objective:To investigate the value of intratumoral and peritumoral radiomics features of multi-parameter MRI in evaluation of the status of human epithelial growth factor receptor 2 in breast cancer.Methods:The clinical, pathological and imaging data of 340 patients with pathologically confirmed breast cancer in Henan Provincial People′s Hospital from September 2019 to December 2020 were retrospectively collected. All patients were female, 48 (42, 55) years old. All patients underwent multi-parameter breast MRI before surgery, including dynamic contrast-enhanced T 1WI (DCE-T 1WI), fat-suppressed T 2WI (T 2WI) and diffusion-weighted imaging (DWI). The region of interest (ROI) for lesions were manually delineated and the segmented ROIs were zoomed in ring shape by 4 mm to acquire ROI intra and ROI prei, respectively. Then six sets of radiomics features were extracted from ROI intra and ROI prei of DCE-T 1WI, T 2WI and DWI. The cases were divided into a training set (272 cases) and a test set (68 cases) by stratified sampling at a ratio of 4∶1. The Mann-Whitney U test, Select K Best and minimum absolute contraction and selection operator were used for feature selection of the 6 sets of radiomics features. The feature subsets after reduction were used to construct independent and combined radiomics signatures with support vector machine algorithm to predict the HER2 status of breast cancer. Receiver operating characteristic curve was generated and area under curve (AUC) was calculated to compare the prediction performance of different models. Results:Of the 340 patients, 80 were HER2-positive and 260 were HER2-negative. Among the radiomics signatures based on single sequence, the DWI peri showed the best performance in predicting HER2 status of breast cancer, with an AUC of 0.678 for the test set. Among the combination of intratumoral and peritumoral radiomics signatures based on same sequence, the DWI intra+DWI peri had the highest prediction value, achieving an AUC of 0.774 for the testing set. Among the intratumoral or peritumoral radiomics signatures derived from two different sequences, the DCE-T 1WI intra+DWI intra and T 2WI peri+DWI peri showed the best predictive performance, yielding AUC of 0.766 and 0.769 in the testing set, respectively. Among the combination of intratumoral or peritumoral radiomics signatures derived from all 3 sequences or combinations of all features, the DCE-T 1WI intra+T 2WI intra+DWI intra+DCE-T 1WI peri+T 2WI peri+DWI peri obtained the highest prediction efficiency, with an AUC of 0.913 for the testing set. Conclusion:The radiomics features of intratumoral and peritumoral regions based on multi-parameter MRI have a certain value in non-invasive evaluation of HER2 status of breast cancer, which can help clinicians to provide scientific basis for decision-making of targeted therapy in patients with breast cancer.

Objective:To explore the value of mammography-based radiomics for preoperative prediction of axillary lymph node metastasis in breast carcinoma.Methods:The clinical and X-ray data of female patients with pathologically confirmed breast cancer in Henan People′s Hospital from June 2013 to July 2017 were analyzed retrospectively. A total of 214 patients, aged 30-85 (53±11) years, were randomly divided into training set ( n=153) and verification set ( n=61) according to the ratio of 3∶1. According to pathological findings of the axillary lymph node metastasis, 99 cases were divided into positive group and 115 cases into negative group. The lesions were segmented and extracted in X-ray images of mediolateral oblique (MLO) and cranial caudal (CC). Three, nine and seven axillary lymph node metastasis related histologic features were selected from the high dimensional features of CC, MLO and CC combined MLO images by lasso regression model. According to the characteristics of imaging and clinical characteristics, the prediction model was constructed. The prediction ability of the model was verified by 10% cross validation. Results:The lymph node in positive group was larger than negative groups, the difference was statistically significant ( t=2.611, P<0.05). In the validation set, the area under curve (AUC) values of CC, MLO, CC combined with MLO images, clinical features and clinical features combined with CC and MLO images were 0.680, 0.723, 0.740, 0.558 and 0.714, respectively. Among them, CC combined with MLO images had the highest prediction efficiency, and AUC values were higher than CC alone, MLO images and CC combined with MLO images. Conclusions:Quantitative radiomics features of breast tumor extracted from digital mammograms are helpful for preoperatively predicting axillary lymph node metastasis. Future larger studies are needed to further evaluate these findings.

Objective:To explore the value of radiomics features extracted from multi-parameter MRI (mp-MRI) in preoperative prediction of triple negative breast cancer (TNBC) and non triple negative breast cancer (NTNBC).Methods:The clinical and preoperative-MRI data of 371 patients with breast cancer confirmed by surgical pathology from January 2017 to July 2019 in Henan Provincial People′s Hospital were retrospectively analyzed. Based on the results of immunohistochemistry (IHC) and fluorescence in situ hybridization (FISH) from postoperative pathological specimens, the cancer was classified as TNBC and NTNBC. Patients were randomly assigned to a training set ( n=250) and a validation set ( n=121). Quantitative radiomics features were extracted from three-dimensional lesions based on dynamic contrast enhanced-T 1WI (DCE-T 1WI) and fat-suppressed T 2WI sequences, and 32 quantitative radiomics features were selected by Mann-Whitney U test, elastic network, and support vector machine recursive feature elimination. Three radiomics signatures were constructed by using the algorithm of support vector machine based on the quantitative radiomics features extracted from fat-suppressed T 2WI, DCE-T 1WI and the mp-MRI of their combination. The prediction performances were evaluated by receiver operating characteristic (ROC) curve and the area under the ROC curve, accuracy, sensitivity, and specificity were calculated. Results:There were 61 patients with TNBC and 310 patients with NTNBC. The clinicopathological characteristics between NTNBC and TNBC were statistically different in the pathological grade (χ2=24.544, P<0.001). Other clinicopathological characteristics (age, maximum diameter of mass, vascular tumor thrombus, axillary lymph nodes) were not statistically differences between NTNBC and TNBC ( P>0.05). The radiomics signature presenting the best performance for predictive TNBC and NTNBC were based on mp-MRI radiomics features. The area under the ROC curve, accuracy, sensitivity, and specificity were 0.91[95% confidence interval (CI) 0.881-0.932], 86.0%, 84.4% and 86.3% in training set, and 0.84 (95%CI 0.807-0.868), 75.2%, 68.7% and 76.1%, in validation set, respectively. Conclusion:Radiomics based on mp-MRI features can be a effectively potential tool for predictive TNBC and NTNBC breast cancer and provide scientific basis for clinicians to make treatment decisions.

Objective: To observe effects of exogenous high mobility group protein box 1 (HMGB1) on angiogenesis in ischemic zone of early scald wounds of rats. Methods: Thirty-six Sprague-Dawley rats were divided into HMGB1 group and simple scald (SS) group according to the random number table, with 18 rats in each group. Comb-like copper mould was placed on the back of rats for 20 s after being immersed in 100 ℃ hot water for 3 to 5 min to make three ischemic zones of wound. Immediately after scald, rats in HMGB1 group were subcutaneously injected with 0.4 μg HMGB1 and 0.1 mL phosphate buffer solution (PBS), and rats in SS group were subcutaneously injected with 0.1 mL PBS from boarders of ischemic zone of scald wound. At post scald hour (PSH) 24, 48, and 72, 6 rats in each group were collected. Protein expressions of vascular endothelial growth factor (VEGF) in ischemic zone of wound at PSH 24, 48, and 72 and protein expressions of CD31 in ischemic zone of wound at PSH 48 and 72 were detected by immunohistochemistry. The number of microvessel in CD31 immunohistochemical sections of ischemic zone of wound at PSH 48 and 72 was calculated after observing by the microscope. The mRNA expressions of VEGF and CD31 in ischemic zone of wound were detected by real-time fluorescence quantitative reverse transcription polymerase chain reaction at PSH 24, 48, and 72. Data were processed with analysis of variance of factorial design, t test, and Bonferroni correction. Results: (1) At PSH 24, 48, and 72, protein expressions of VEGF in ischemic zone of wound of rats in HMGB1 group were significantly higher than those of rats in SS group (t=7.496, 4.437, 5.402, P<0.05 or P<0.01). At PSH 48 and 72, protein expressions of CD31 in ischemic zone of wound of rats in HMGB1 group were 0.038 8±0.007 9 and 0.057 7±0.001 2 respectively, significantly higher than 0.013 4±0.004 9 and 0.030 3±0.004 0 of rats in SS group (t=10.257, 15.055, P<0.01). (2) At PSH 48 and 72, the number of microvessel in ischemic zone of wound of rats in HMGB1 group was obviously more than that of rats in SS group (t=3.536, 4.000, P<0.05). (3) At PSH 24, 48, and 72, mRNA expressions of VEGF in ischemic zone of wound of rats in HMGB1 group were significantly higher than those of rats in SS group (t=4.406, 3.821, 3.356, P<0.05). At PSH 24 and 48, mRNA expressions of CD31 in ischemic zone of wound of rats in HMGB1 group were significantly higher than those of rats in SS group (t=4.113, 3.466, P<0.05). At PSH 72, mRNA expressions of CD31 in ischemic zone of wound of rats in 2 groups were close (t=0.010, P>0.05). Conclusions Exogenous HMGB1 can promote angiogenesis in ischemic zone of early scald wounds of rats by increasing expressions of VEGF and CD31.

BACKGROUND:Considering the risk of lack of bone in revision and the bone coverage of component,it is advisable to use bone grafting to increase bone stock in patients with adult Crowe type Ⅲ developmental dysplasia of the hip (DDH) in the first total hip arthroplasty (THA).OBJECTIVE:To investigate the effectiveness of impaction bone grafting with morselized bone and bone paste for acetabular defects of adult Crowe type Ⅲ DDH in THA.METHODS:Forty cases (45 hips) of Crowe type Ⅲ DDH were enrolled,including 8 males and 32 females,aged 31-68 years.All the components were reconstructed at the anatomic acetabulum combined with deepening acetabulum and putting the centre of rotation medially and distally during THA procedures.The patients were all followed up and evaluated with Harris score,limp length,displacement of the centre of rotation,cup coverage,and postoperative complications.RESULTS AND CONCLUSION:The average follow-up was 32.7 months.Acetabular rotation centers of all the cases were recovered (near) to normal.The incisions healed by first intention and there was no complication such as infection,dislocation,prosthesis loosening.The acetabular cup prosthesis did not displace and was covered well by bone at the last follow-up,the grafted bone particles got radiological osseointegration and the bone sclerosis zone disappeared.No radiolucent lines and screw fracture were detected.The Harris scores of affected hips at the last follow-up were significantly higher than those before surgery(P=0).The average leg length was increased (2.31 ±0.18) cm.The mean cup coverage was 78.1％.The postoperative horizontal and vertical distance of the hip center were shorter than those before surgery (P=0).Reconstructing the acetabulum with autogenous morselized bone graft impaction can effectively restore the acetabular coverage,maintain the stability of acetabular cup and provide better relative bone stock in THA for Crowe type Ⅲ DDH in adult,and moreover,the short-term effect is satisfactory.

Objective To explore the value of mammogram texture analysis in prediction of metastasis of axillary lymph nodes for breast carcinoma.Methods Mammograms and clinical data of 171 patients with breast carcinoma confirmed by pathology were retrospectively analyzed,and all patients underwent axillary lymph node dissection (ALND).Then the patients were divided into axillary lymph node metastasis group and non-metastasis group according to the result of ALND.The texture features of these lesions were statistically analyzed,including gray-level histogram texture parameters (mean value,standard deviation,skewness,kurtosis and variance) and gray-level co-occurrence matrix texture parameters (energy,entropy,correlation,inertia,inverse difference moment and contrast).Results In all of 171 breast cancer patients,96patients had axillary lymph node metastasis,while 75 patients had no metastasis.Mammograms showed negative axillary lymph nodes in 119 patients and positive axillary lymph nodes in 52 patients,and the sensitivity and specificity of mammograms in the diagnosis of positive axillary lymph nodes was 48.96％ (47/96) and 93.33％ (70/75),respectively.Mammogram texture analysis showed the values of energy,entropy,inverse difference moment and correlation in axillary lymph node metastasis group were higher than those in non-metastasis group,while the values of inertia and contrast in the axillary lymph node metastasis group were lower than those in non-metastasis group (all P＜0.05).The rest texture parameters had no significant differences between two groups (all P＞0.05).Area under curve (AUC) for texture parameters of energy,entropy,inertia,inverse difference moment,correlation and contrast was 0.610,0.610,0.374,0.599,0.612 and 0.421 (all P＜0.05),respectively.AUC of mammography,mammogram texture features,and the combination of mammography and texture features was 0.711,0.676 and 0.787 (all P＜0.05),respectively.The sensitivity and specificity of mammogram texture features,the combination of mammography and texture features in diagnosis of axillary lymph nodes metastasis was 62.5％ and 64.6％,66.7％ and 82.7％,respectively.Conclusion Mammogram texture parameters are helpful for predicting axillary lymph node metastasis,and the combination of mammography and texture features can improve diagnostic efficiency of axillary lymph node metastasis.