Objective To construct a model for predicting ki-67 expression in hepatocellular carcinoma using the intratumoral and peritumoral radiomic features of contrast enhanced magnetic resonance imaging(CEMRI)in the arterial phase as well as clinical imaging features.Methods A total of 120 patients pathologically diagnosed with hepatocellular carcinoma(HCC)from January 2016 to December 2024 in No.910 Hospital of the Joint Logis-tics Support Force of the Chinese People's Liberation Army were retrospectively enrolled and randomly divided into a training set(84 cases)and a test set(36 cases)in a ratio of 7∶3.ITK-SNAP software was used to delineate the global region of interest(ROI)of HCC on the arterial phase MR images.The ROIs of all patients were automatically expanded outward by 2 mm,and then the intratumoral ROI areas were eliminated to obtain the peritumoral ROI.With the help of PyRadiomics software,1 198 intratumoral and peritumoral radiomic features were extracted.Spearman correlation analysis,maximum relevance-minimum redundancy(mRMR),and least absolute shrinkage and selection operator(LASSO)regression were used to reduce the data dimension and select the best features.Then,a radiomics model of the logistic regression(LR)machine learning algorithm was constructed.A combined model including clinical imaging features and radiomics features was established.The area under the curve(AUC),accuracy,sensitivity,specificity,positive predictive value(PPV),negative predictive value(NPV),calibration curve and decision curve analysis(DCA)were used to evaluate the efficacy of the intratumoral and peritumoral radiomics features combined with clinical imaging features model in predicting ki-67 expression in hepatocellular car-cinoma.Results The intratumor model exhibited an efficacy in predicting the expression of ki-67 in hepatocellular carcinoma with AUC values of 0.817 and 0.787 in the training set and test set,respectively.The peritumoral model showed an efficacy with AUC values of 0.805 and 0.633 in the training set and test set,respectively.The intratumoral and peritumoral model demonstrated AUC values of 0.874 and 0.836 in the training set and test set,respectively.The combined model constructed by integrating the intratumoral and peritumoral model with clinical imaging features yielded AUC values of 0.877 and 0.849 in the training set and test set,respectively,indicating clinical imaging features improved the performance of the model.DCA showed that the combined models all had good clinical benefits,with the intratumoral and peritumoral model performing the best.Conclusion The intratumoral and peritumoral radiomics model based on CEMRI arterial phase combined with clinical imaging data can accurately predict the expression of ki-67 in hepatocellular carcinoma.This combined model yields the best clinical benefit.

Objective To explore its application value of LNM in patients with gastric adenocarcinoma based on the construction of a radiomic nomogram prediction model for preoperative lymph node metastasis in gastric adenocarcinoma using enhanced CT imaging features and parameters.Methods 131 patients with gastric adenocarcinoma who underwent radical gastric cancer surgery(Billroth Ⅱ)+lymph node dissection in our hospital from August 2019 to October 2023 were retrospectively analysed,and the preoperative enhancement CT extracted lesions,histological features of lymph node images,and pathological examination of LNM were recorded respectively,and the statistically significant Enhanced CT image histological features and parameters,multifactorial logistic regression to analyse the independent risk factors of gastric adenocarcinoma LNM(+)and construct a column-line diagram,and evaluate its performance.The performance and clinical value of the prediction model were evaluated using subject work characteristic(ROC)curves,and the column-line diagram was internally validated.Results The results of univariate analysis showed that the maximum diameter of the tumour,the lymph node status,the short-axis length and volume of the largest lymph node in the lymph node group and the sum of the short-axis lengths of all the lymph nodes were associated with the occurrence of LNM,and the difference was statistically significant(P＜0.05);multifactorial logistic regression analysis suggested that the maximum diameter of the tumour was ≥15 mm and the lymph node status was positive in the enhanced CT imaging examination,maximum lymph node short-axis length ≥ 7 mm in the lymph node group,the sum of short-axis lengths of all lymph nodes ≥ 11 mm,and the maximum lymph node short-axis volume ≥ 300 mm3 in the lymph node group were the independent risk factors for gastric adenocarcinoma patients with LNM(+)(P＜0.05);the area under the curve of the model was plotted using a ROC curve with an AUC=0.816(95％ CI 0.810-0.939),with the sensitivity of 0.91 and the specificity of 0.86.Model validation was performed using the BOOTSTRAP method containing 500 resamples,and the results suggested that the differences between the fitted curves and the ideal curves of the constructed column-line graphical model were not significant,and the validity and reliability were good.Conclusion The radiomic nomogram prediction model based on enhanced CT imaging features and parameters can effectively predict preoperative lymph node metastasis in gastric adenocarcinoma,providing strong support for clinical decision-making in gastric adenocarcinoma patients.

Objective To construct a model for predicting ki-67 expression in hepatocellular carcinoma using the intratumoral and peritumoral radiomic features of contrast enhanced magnetic resonance imaging(CEMRI)in the arterial phase as well as clinical imaging features.Methods A total of 120 patients pathologically diagnosed with hepatocellular carcinoma(HCC)from January 2016 to December 2024 in No.910 Hospital of the Joint Logis-tics Support Force of the Chinese People's Liberation Army were retrospectively enrolled and randomly divided into a training set(84 cases)and a test set(36 cases)in a ratio of 7∶3.ITK-SNAP software was used to delineate the global region of interest(ROI)of HCC on the arterial phase MR images.The ROIs of all patients were automatically expanded outward by 2 mm,and then the intratumoral ROI areas were eliminated to obtain the peritumoral ROI.With the help of PyRadiomics software,1 198 intratumoral and peritumoral radiomic features were extracted.Spearman correlation analysis,maximum relevance-minimum redundancy(mRMR),and least absolute shrinkage and selection operator(LASSO)regression were used to reduce the data dimension and select the best features.Then,a radiomics model of the logistic regression(LR)machine learning algorithm was constructed.A combined model including clinical imaging features and radiomics features was established.The area under the curve(AUC),accuracy,sensitivity,specificity,positive predictive value(PPV),negative predictive value(NPV),calibration curve and decision curve analysis(DCA)were used to evaluate the efficacy of the intratumoral and peritumoral radiomics features combined with clinical imaging features model in predicting ki-67 expression in hepatocellular car-cinoma.Results The intratumor model exhibited an efficacy in predicting the expression of ki-67 in hepatocellular carcinoma with AUC values of 0.817 and 0.787 in the training set and test set,respectively.The peritumoral model showed an efficacy with AUC values of 0.805 and 0.633 in the training set and test set,respectively.The intratumoral and peritumoral model demonstrated AUC values of 0.874 and 0.836 in the training set and test set,respectively.The combined model constructed by integrating the intratumoral and peritumoral model with clinical imaging features yielded AUC values of 0.877 and 0.849 in the training set and test set,respectively,indicating clinical imaging features improved the performance of the model.DCA showed that the combined models all had good clinical benefits,with the intratumoral and peritumoral model performing the best.Conclusion The intratumoral and peritumoral radiomics model based on CEMRI arterial phase combined with clinical imaging data can accurately predict the expression of ki-67 in hepatocellular carcinoma.This combined model yields the best clinical benefit.

Objective To explore its application value of LNM in patients with gastric adenocarcinoma based on the construction of a radiomic nomogram prediction model for preoperative lymph node metastasis in gastric adenocarcinoma using enhanced CT imaging features and parameters.Methods 131 patients with gastric adenocarcinoma who underwent radical gastric cancer surgery(Billroth Ⅱ)+lymph node dissection in our hospital from August 2019 to October 2023 were retrospectively analysed,and the preoperative enhancement CT extracted lesions,histological features of lymph node images,and pathological examination of LNM were recorded respectively,and the statistically significant Enhanced CT image histological features and parameters,multifactorial logistic regression to analyse the independent risk factors of gastric adenocarcinoma LNM(+)and construct a column-line diagram,and evaluate its performance.The performance and clinical value of the prediction model were evaluated using subject work characteristic(ROC)curves,and the column-line diagram was internally validated.Results The results of univariate analysis showed that the maximum diameter of the tumour,the lymph node status,the short-axis length and volume of the largest lymph node in the lymph node group and the sum of the short-axis lengths of all the lymph nodes were associated with the occurrence of LNM,and the difference was statistically significant(P＜0.05);multifactorial logistic regression analysis suggested that the maximum diameter of the tumour was ≥15 mm and the lymph node status was positive in the enhanced CT imaging examination,maximum lymph node short-axis length ≥ 7 mm in the lymph node group,the sum of short-axis lengths of all lymph nodes ≥ 11 mm,and the maximum lymph node short-axis volume ≥ 300 mm3 in the lymph node group were the independent risk factors for gastric adenocarcinoma patients with LNM(+)(P＜0.05);the area under the curve of the model was plotted using a ROC curve with an AUC=0.816(95％ CI 0.810-0.939),with the sensitivity of 0.91 and the specificity of 0.86.Model validation was performed using the BOOTSTRAP method containing 500 resamples,and the results suggested that the differences between the fitted curves and the ideal curves of the constructed column-line graphical model were not significant,and the validity and reliability were good.Conclusion The radiomic nomogram prediction model based on enhanced CT imaging features and parameters can effectively predict preoperative lymph node metastasis in gastric adenocarcinoma,providing strong support for clinical decision-making in gastric adenocarcinoma patients.

Oligoasthenozoospermia is the main cause of male infertility， with complex and diverse causes. Currently， there are still some unclear causes of oligoasthenozoospermia in clinical practice， known as idiopathic oligoasthenozoospermia. With the development of high-throughput sequencing technology， it has been found that intestinal microbiota disorder may be an important promoting factor for the onset of oligoasthenozoospermia. Traditional Chinese medicine believes that "deficiency of kidney essence" is the core pathogenesis of oligoasthenozoospermia. In clinical practice， the method of tonifying the kidney and strengthening the essence has a significant therapeutic effect on oligoasthenozoospermia， but its mechanism of action has not been fully elucidated. Based on the basic theories of traditional Chinese medicine and molecular biology research， it has been found that there is a similarity between "kidney essence" and intestinal microbiota. During the onset of oligoasthenozoospermia， the disorder of intestinal microbiota has similarities with the pathogenesis of "deficiency of kidney essence" in traditional Chinese medicine. Moreover， traditional Chinese medicine for tonifying the kidney and strengthening the essence can regulate the disorder of intestinal microbiota， which may be one of the effective mechanisms for the treatment of oligoasthenozoospermia with the Bushen Yijing method. Based on this， this article explored the mechanism of Bushen Yijing method of traditional Chinese medicine in treating oligoasthenozoospermia from the perspective of intestinal microbiota， so as to provide new ideas for the treatment of oligoasthenozoospermia with traditional Chinese medicine.

Scoliosis is a common deformity in neuromuscular disease, which usually has the characteristics of early onset age, severe degree of deformity, and rapid progression.Neuromuscular scoliosis often leads to serious damages to the quality of life, and results in the loss of walking, standing and sitting, and cardiopulmonary insufficiency.Surgical treatment can improve the quality of life for children with neuromuscular scoliosis, but surgical treatment is still challenging due to the complex surgery and many complicated diseases.The complications are much higher than those of idiopathic scoliosis.A multidisciplinary team is necessary in the surgical treatment of neuromuscular scoliosis to promptly and effectively reduce the complications.

Objective:To study the changes of food characters in early swallowing recovery in patients with different laryngeal function preservation surgery.Methods:Collected patients with laryngeal cancer hypopharyngeal cancer who underwent laryngeal function preservation surgery in Lihuili Hospital of Ningbo Medical Center from January 2019 to March 2020. By fiberoptic endoscopic evaluation of swallowing (FEES) combined with Penetration and Aspiration Scale (PAS), prospectively observed the aspiration and invasion of solid, paste, fluid and other food in the early stage of trial feeding in patients with laryngeal hypopharyngeal cancer undergoing open laryngeal function preservation.Results:Among the 69 patients, 21 had vertical partial laryngectomy and 19 had partial pharyngeal partial laryngectomy. 15 days after the operation, 2 groups of patients after solid and paste food adaptability scored (1.14±0.36), (1.29±0.56) and (2.53±2.04), (2.84±2.31) points, Friedman Mtest for comparison difference had statistical significance ( Mvalues were 23.463 and 22.227, P<0.01); the liquid food for adaptability scored (2.10±1.09), (4.42±2.24) points, the pairwise comparison of liquid, solid and paste showed statistically significant differences ( tvalues were-0.976 to 1.105, P<0.05). The pairwise comparison of the adaptability of the two groups on 20 days after surgery showed no statistically significant difference ( P>0.05).Throat on the cricoid cartilage resection-ring hyoid epiglottis anastomosis (SLCP-CHEP) was 17 cases, laryngeal glottis level partial resection was 12 cases; postoperative 15 days the adaptability on the behavior of three kinds of food grade 2 groups of patients (4.65±1.90), (5.59±1.46), (6.53±1.13) points and (6.67±1.07), (4.50±2.07), (6.92±0.79) points, respectively; Minspection differences were statistically significant ( Mvalues were 29.525, 22.136, P<0.01).The pairwise comparison of solid and paste food in the two groups 20 days after the operation showed no statistically significant difference ( P>0.05), while the difference of liquid and paste was statistically significant ( tvalues were-1.375 to-0.853, P<0.05). Conclusion:In the early recovery of patients undergoing laryngeal function preservation surgery, the vertical group and the partial pharyngeal partial laryngectomy group has better adaptability to solid and paste food. The horizontal group has better adaptability to paste, the CHEP group has better adaptability to solid, and the four groups has the worst adaptability to convection, the recovery time of convective mass between the CHEP group and the horizontal group was longer. To understand the adaptability of patients with different surgical methods to food traits at the early stage of trial feeding can help to implement targeted rehabilitation programs, carry out progressive diet training, and reduce the complications of misinvasion, aspiration, aspiration pneumonia and other complications in the recovery cycle.

Objective:To investigate the multiple origin of retroperitoneal liposarcoma and its postoperative prognosis.Methods:A total of 49 retroperitoneal liposarcoma patients underwent total (ipsilateral) retroperitoneal lipectomy in our center from May 2017 to December 2019 were recruited. Clinical data and the follow-up information were reviewed and the origin and prognosis were analyzed.Results:A total of 15 patients were pathologically diagnosed as multiple primary cancer (MPC), the incidence rate of retroperitoneal liposarcoma with MPC was 30.6% (15/49), while other 34 cases was non-MPC. The postoperative recurrence rates of patients with high differentiation and de-differentiation retroperitoneal liposarcoma were 31.8% and 44.4%, without significant difference ( P>0.05). The postoperative recurrence rates of MPC and non-MPC were 40.0% and 38.2%, without significant difference ( P>0.05). Five cases died within the follow-up. Conclusion:Retroperitoneal liposarcoma might origin form MPC, and total (ipsilateral) retroperitoneal lipectomy is recommended to reduce the recurrence rate.

Objective:To investigate the multiple origin of retroperitoneal liposarcoma and its postoperative prognosis.Methods:A total of 49 retroperitoneal liposarcoma patients underwent total (ipsilateral) retroperitoneal lipectomy in our center from May 2017 to December 2019 were recruited. Clinical data and the follow-up information were reviewed and the origin and prognosis were analyzed.Results:A total of 15 patients were pathologically diagnosed as multiple primary cancer (MPC), the incidence rate of retroperitoneal liposarcoma with MPC was 30.6% (15/49), while other 34 cases was non-MPC. The postoperative recurrence rates of patients with high differentiation and de-differentiation retroperitoneal liposarcoma were 31.8% and 44.4%, without significant difference ( P>0.05). The postoperative recurrence rates of MPC and non-MPC were 40.0% and 38.2%, without significant difference ( P>0.05). Five cases died within the follow-up. Conclusion:Retroperitoneal liposarcoma might origin form MPC, and total (ipsilateral) retroperitoneal lipectomy is recommended to reduce the recurrence rate.

Objective:To describe a systematic approach on identification of poisonous mushroom by investigating two cases of Omphalotus guepiniformis poisoning in Jianyang district, Nanping, Fujian province. Methods:Two incidents of food poisoning on 10 migrant workers were investigated. The remaining suspected mushroom samples were collected and the same fresh mushroom specimens were also collected in the following field investigations from the same dead tree and fallen trunk. These mushroom specimens were identified based on morphological and phylogenetic analyses.Results:On November 24 and 26, 2018, 8 and 2 migrant workers from Jianyang District, Nanping ate wild mushrooms and developed acute nausea, vomiting, abdominal pain and other symptoms within 10 to 90 min after consumption. They were diagnosed as mushroom poisoning, with gastroenteritis as the main manifestation. Further analysis showed that the more poisonous mushroom were consumed, the shorter latency and longer duration of nausea and vomiting were resulted. After admission, gastric lavage, catharsis, acid preparation, gastric protection, fluid replenishment and other symptomatic support treatments were given in time, all patients were discharged in 1-3 d. Based on morphological and phylogenetic analyses, the samples were identified as O. guepiniformis. Conclusions:The two incidents were caused by accidental consumption of O. guepiniformis. Awareness education about poisonous mushroom should be provided to migrant workers to prevent more such poisoning incidents in the future.