In order to provide basic information for the utilization and development of famous classical formulas containing Bletillae Rhizoma， this article systematically analyzes the historical evolution of the name， origin， harvesting and processing of Bletillae Rhizoma by reviewing the ancient materia medica， prescription books， medical books and modern literature. The research results showed that Baiji（白及） was the main name， some scholars took Baiji（白芨） as its main name， and there were many other names such as Baiji（白给）， Baigen（白根）， Baiji（白苙）. The mainstream source of Bletillae Rhizoma was the tubers of Bletilla striata， and drying， large， white， solid， root-free and skin removed completely were the good quality standards. With the promotion of wild to cultivated medicinal materials， there were certain differences between their traits， and the quality evaluation indexes should be adjusted accordingly. The origin of records in the past dynasties was widely distributed， with Guizhou and Sichuan having high production and good quality in modern times. The harvesting period is mostly in spring and autumn， and harvested in autumn was better. The processing and processing technology is relatively simple， and it was used fresh or powdered in past dynasties， while it is mainly sliced for raw use in modern times. Based on the results， it is suggested that the tubers of Bletilla striata of Orchidaceae should be used in the famous classical formulas， and it should be uniformly written as Baiji（白及）. And if the original formula indicates the requirement of processing， it should be operated according to the requirement， if the requirement of processing is not indicated， it can be used in raw form as medicine.

Hepatocellular carcinoma (HCC) is one of the most common malignancies and is a major cause of cancer-related mortalities worldwide (Forner et al., 2018; He et al., 2023). Sarcopenia is a syndrome characterized by an accelerated loss of skeletal muscle (SM) mass that may be age-related or the result of malnutrition in cancer patients (Cruz-Jentoft and Sayer, 2019). Preoperative sarcopenia in HCC patients treated with hepatectomy or liver transplantation is an independent risk factor for poor survival (Voron et al., 2015; van Vugt et al., 2016). Previous studies have used various criteria to define sarcopenia, including muscle area and density. However, the lack of standardized diagnostic methods for sarcopenia limits their clinical use. In 2018, the European Working Group on Sarcopenia in Older People (EWGSOP) renewed a consensus on the definition of sarcopenia: low muscle strength, loss of muscle quantity, and poor physical performance (Cruz-Jentoft et al., 2019). Radiological imaging-based measurement of muscle quantity or mass is most commonly used to evaluate the degree of sarcopenia. The gold standard is to measure the SM and/or psoas muscle (PM) area using abdominal computed tomography (CT) at the third lumbar vertebra (L3), as it is linearly correlated to whole-body SM mass (van Vugt et al., 2016). According to a "North American Expert Opinion Statement on Sarcopenia," SM index (SMI) is the preferred measure of sarcopenia (Carey et al., 2019). The variability between morphometric muscle indexes revealed that they have different clinical relevance and are generally not applicable to broader populations (Esser et al., 2019).
Humans ; Aged ; Sarcopenia/diagnostic imaging* ; Carcinoma, Hepatocellular/diagnostic imaging* ; Muscle, Skeletal/diagnostic imaging* ; Deep Learning ; Prognosis ; Radiomics ; Liver Neoplasms/diagnostic imaging* ; Retrospective Studies

Objective Microvascular invasion(MVI)risk scoring model was established based on the preoperative data of hepatocellular carcinoma(HCC)patients.Methods The clinical data of 1153 HCC patients who underwent hepatectomy in Hangzhou First People's Hospital from January 2000 to December 2021 were retrospectively analyzed.Random sampling method was used to divide the samples into modeling group(n=864)and verification group(n=289)at a ratio of 3:1.The modeling group used Logistic regression analysis model to explore the independent risk factors of MVI and established a prediction model accordingly.Receiver operating characteristic(ROC)curve and correction curve were drawn to evaluate the predictive ability and performance of the risk model.Results The incidence of MVI was 24.1%(208/864)in modeling group.Multivariate Logistic regression analysis showed that alpha-fetoprotein(AFP)>160ng/ml and total tumor volume(TTV)>30cm3 were independent risk factors for MVI(P<0.05).The total score of risk scoring model was 6 points,0-1 was classified as low risk,2-3 was classified as medium risk,and 4-6 was classified as high risk.The model predicted that the area under the curve(AUC)of MVI was 0.714 in modeling group and 0.731 in verification group.The calibration diagram showed that the prediction model had good performance.Conclusion The MVI risk prediction model for HCC patients based on TTV and AFP is simple and easy to use,which is conducive to preoperative treatment decision-making and doctor-patient communication.

Objective:To analyze the correlation between the skin temperature changes in the radiation area and the occurrence of radiodermatitis during postoperative radiotherapy for female breast cancer and to explore the application value of skin temperature monitoring in the early warning of radiodermatitis risks.Methods:A total of 103 patients who received three-dimensional conformal radiotherapy after radical mastectomy in the Fourth Hospital of Hebei Medical University were continuously enrolled from May to November, 2022 in this study. Their skin temperature in the radiation area and radiodermatitis were recorded weekly. The relationships between relative skin temperature differences and different grades of radiodermatitis were determined. The optimal cut-off values for grade ≥ radiodermatitis were calculated, and the predictive effect was evaluated using the receiver operating characteristic (ROC) curve. Furthermore, the radiodermatitis risks under different skin temperatures were compared using binary logistic regression.Results:There was a positive correlation between the skin temperature in the radiation field and the grade of radiodermatitis. The optimal cut-off values for the average relative skin temperature difference of the chest wall (under 40 Gy/20 fractions), the maximum relative skin temperature difference of the chest wall (under 40 Gy/20 fractions), and the relative skin temperature difference of the supraclavicular block (under 30 Gy/15 fractions) were 0.45℃, 0.55℃, 0.15℃, respectively. The patients were divided into low- and high-risk groups based on the optimal cut-off values (0.45℃, 0.55℃, and 0.15℃). Binary logistic regression result showed that the risks of grade ≥ 2 radiodermatitis in the high-risk group were 5.71, 4.29, and 5.15 times those in the low-risk group, respectively ( OR = 5.71, 95% CI 1.81-17.99, P = 0.003; OR = 4.29, 95% CI 1.65-11.12, P = 0.003; OR = 5.15, 95% CI 2.16-12.31, P < 0.001). Conclusions:Skin temperature monitoring using medical infrared thermometers can be used to effectively predict the occurrence of grade ≥ 2 radiodermatitis. The skin temperature changes in the radiotherapy area should be closely observed. The risk of grade ≥ 2 radiodermatitis will increase when the mean and maximum relative temperature differences of the chest wall increase by 0.45℃ and 0.55℃, respectively under 40 Gy/20 fractions of radiotherapy or when the relative temperature differences of the supraclavicular block increases by 0.15℃ under 30 Gy/15 fractions of radiotherapy.

OBJECTIVE To observe the clinical efficacy of Maitong Jun'an Decoction in treating coronary heart disease(CHD)angina of qi deficiency and blood stasis type,and preliminarily elucidate its possible mechanism of action through transcriptomics meth-ods.METHODS A total of 140 patients with CHD angina of qi deficiency and blood stasis type were included and randomly divided into a treatment group and a control group,with 70 cases in each group.During the treatment period,3 patients in the control group dropped out.The control group received basic Western medicine treatment for secondary prevention of CHD,while the treatment group received Maitong Jun'an Decoction in addition to the treatment in the control group.The treatment period for both groups was 8 weeks.Before and after treatment,the patients in both groups were evaluated for the TCM syndrome score,Canadian Cardiovascular Society(CCS)angina grading,Seattle angina questionnaire(SAQ)score,self-rating anxiety scale(SAS),self-rating depression scale(SDS)score,and adverse reactions.The peripheral blood of 9 patients before and after treatment was selected for transcriptomic sequencing based on the principle of gender,age,and disease duration matching.RESULTS After treatment,the TCM syndrome scores and total scores of the 2 groups were significantly reduced(P<0.01).The treatment group was better than the control group in improving chest pain,chest tightness,shortness of breath,fatigue and total score(P<0.05,P<0.01);the overall improvement rate of CCS angina grading in the treatment group was better than that in the control group(P<0.05);the SAQ,SAS and SDS scores of the 2 groups were significantly reduced before and after treatment(P<0.01),and the SAQ score of the treatment group was improved better than that of the control group(P<0.05,P<0.01).The transcriptomics results showed that there were 862 significantly different mR-NAs before and after treatment,including 509 up-regulated and 353 down-regulated.GO analysis showed that there were 666 biologi-cal processes in the differentially expressed mRNAs,mainly including viral gene expression,translation initiation,RNA catabolism,etc.There were 112 cell components,mainly including focal adhesion,ribosome subunit,nuclear spot,etc.There were 94 molecular functions,mainly including double-stranded RNA binding,cadherin binding,transcription co-regulatory factor activity,etc.KEGG analysis showed that the differentially expressed mRNAs enriched in 20 signaling pathways,mainly including glycerophospholipid me-tabolism pathway,AMPK signaling pathway,ribosome pathway,etc.CONCLUSION Maitong Jun'an Decoction can improve clini-cal symptoms in patients with CHD angina of qi deficiency and blood stasis type.Its mechanism of action is multi-target and multi pathway,mainly related to the regulation of glycerophospholipid metabolism pathway,AMPK signaling pathway,ribosome pathway.

Objective To investigate the clinical manifestations,molecular genetics and gonadal pathol-ogy characteristics of patients with disorders of sex development(DSD),and to summarize the clinical experi-ence of identifying rare diseases from common symptoms.Methods The clinical data of 416 patients with DSD diagnosed and treated in the multidisciplinary center of DSD of Guangzhou Women and Children's Medical Cen-ter from May 2018 to August 2023 were retrospectively analyzed,summarized and discussed.Results Accord-ing to chromosome karyotype,416 cases of DSD were classified into three types:92 cases(22.1％)of abnormal sex chromosome karyotype,285 cases(68.5％)of 46,XY karyotype and 39 cases(9.4％)of 46,XX karyotype.Among the 92 patients with abnormal sex chromosome karyotype,59 cases were raised as males,18 cases(30.5％)complained of short penis with hypospadias and cryptorchidism.The most common karyotype was 45,X/46,XY(58 cases,63.0％).Among the 285 patients with 46,XY karyotype,238 cases were raised as males,and 63 cases(26.5％)complained of short penis and hypospadias;47 cases were raised as females,and 13 ca-ses(27.7％)complained of inguinal mass.A total of 216 patients with 46,XY karyotype were subjected to whole exome gene detection,and 155 cases(71.8％)were found to have molecular pathogenesis with the clinical phe-notype.Among the 39 patients with 46,XX karyotype,19 cases were raised as males,and 8 cases(42.1％)com-plained of short penis and hypospadias.In the 18 cases of gonad biopsy,17 cases showed testicular tissue in go-nads.Whole exome sequencing was performed in 14 cases.NR5A1 gene heterozygous mutation,SRY gene muta-tion and SOX3 gene mutation were found in 2 cases,respectively(14.3％).Twenty cases were raised as females,and 14 cases(70.0％)complained of clitoral hypertrophy.Gonad biopsy was performed in 8 cases,with 7 cases of ovotestis(87.5％)and 1 case of NR5A1 gene heterozygous mutation(14.3％).Conclusions The etiologies of DSD are complex and diverse,and the clinical manifestations are various,which can be manifested as hypospa-dias,micropenis,cryptorchidism and other common symptoms of the urinary system.Different etiologies have dif-ferent treatment options.Therefore,chromosome karyotype,molecular genetic testing and gonadal pathology can be used to clarify the cause of disease,especially for rare diseases,improve the detection rate,reduce the rate of missed diagnosis,and ensure reasonable treatment,especially sex selection.

Objective To investigate the relationship between gene mutation characteristics and immunological markers in patients with small cell lung cancer.Methods From January 2019 to 2020,155 patients with small cell lung cancer were admitted.Gene mutations were detected in these patients using target gene capture and sequencing method.Moreover,the tumor mutational burden(TMB)and expression of PD-L1 in some patients were detected.Results A total of 326 gene mutations were detected in the patients,the most significant of which were TP53 and RB1.Among the 8 genes with mutation frequency higher than 15％,patients with KMT2D,KMT2C,FAT1 and NOTCH1 mutations had higher TMB than those without mutation,and the difference was statistically significant(P＜0.05).Conclusion The most common mutated genes in patients with small cell lung cancer are TP53 and RB1.KMT2D,KMT2C,FAT1 and NOTCH1 may be potential markers for the efficacy of immunotherapy in small cell lung cancer.

Pregnancy ; Female ; Humans ; Placenta ; Nuclear Transfer Techniques ; Embryo, Mammalian ; Cell Nucleus

Objective:To investigate the high-risk factors affecting the prognosis of patients with pT 1-2N 1M 0 after mastectomy, establish a nomogram prediction model, perform risk stratification, and screen the radiotherapy benefit populations. Methods:Clinical data of 936 patients with pT 1-2N 1M 0 breast cancer undergoing mastectomy in the Fourth Hospital of Hebei Medical University from January 2010 to December 2016 were retrospectively analyzed and 908 cases had complete follow-up data. They were divided into the radiotherapy (RT) group ( n=583) and non radiotherapy (NRT) group ( n=325) according to the radiotherapy. After propensity score matching (PSM) was performed 1 vs. 1, 298 cases were assigned into the RT group and 298 in the NRT group. Overall survival (OS) and disease-free survival (DFS) were compared between two groups using log-rank test. Nomogram prediction model was established, the survival differences were compared among different risk groups, and the radiotherapy benefit populations were screened. Results:Univariate analysis showed that the 5- and 8-year OS and DFS in the RT group were significantly better than those in the NRT group (both P<0.001). Multivariate analysis showed that age, tumor quadrant, number of lymph node metastases, T staging, and Ki-67 level were the independent prognostic factors for OS. Age, tumor quadrant, and T staging were the independent prognostic factors for DFS. The OS nomogram analysis showed that the OS of patients in the high-risk group was significantly improved by post-mastectomy radiotherapy (PMRT) ( P=0.001), while PMRT did not show an advantage in the low- and medium-risk groups ( P=0.057, P=0.099). The DFS nomogram analysis showed that DFS was significantly improved by PMRT in patients in the medium- and high-risk groups ( P=0.036, P=0.001), whereas the benefits from PMRT were not significant in the low-risk group ( P=0.475). Conclusions:For patients with pT 1-2N 1M 0 breast cancer after mastectomy, age ≤ 40 years, tumor located in the inner quadrant or central area, T 2 staging, 2-3 lymph node metastases, Ki-67>30% are the high-risk factors affecting clinical prognosis. The nomogram prediction model can screen the populations that can benefit from PMRT, providing reference for clinical decision-making.

Objective:To evaluate the value of enhanced CT radiomics feature model for predicting 5-year overall survival (OS) of esophageal squamous cell carcinoma patients after radiotherapy.Methods:Clinical data of 218 patients with esophageal squamous cell carcinoma treated with radical chemoradiotherapy in the Fourth Hospital of Hebei Medical University from July 2016 to December 2017 were retrospectively analyzed. Patients were randomly divided into the training group ( n=153) or a validation group ( n=65) at a 7 vs. 3 ratio. Enhanced CT radiomics features were extracted. The data in the training group was used to construct the prediction model, and the data in the validation group were utilized to validate the efficiency of this model for predicting the 5-year OS of patients. The predictive performance of this model was assessed by the receiver operating characteristic (ROC) curve, consistency index (C-index), and decision curve analysis (DCA). Results:The 1-, 3-, 5-year OS rates were 67.0%, 33.4%, 24.9%. Five radiomic features were selected from extracted features in the training group to construct the radiomic signature (RS) for predicting 5-year OS. The area under the ROC curve (AUC) was 0.760 in the training group and 0.707 in the validation group, and the C-index was 0.680 and 0.684, respectively. The radiomics nomogram, which incorporated the RS with clinical risk factors, were established to predict the 5-year OS of esophageal squamous cell carcinoma patients after radiotherapy. The AUC was 0.782 in the training group and 0.751 in the validation group, and the C-index was 0.708 and 0.688, respectively. According to the optimal cutoff of the model, all patients were divided into the high risk and low risk groups. The 1-, 3-, 5-year OS rates were 86.5%, 65.4%, 28.9% in the low risk group, and 58.4%, 17.8%, 5.9% in the high risk group, and the differences were statistically significant (all P<0.001). Similar conclusions were obtained in the validation group (all P<0.001). Conclusion:Enhanced CT radiomics features can be utilized to construct the prediction model for 5-year OS of esophageal squamous cell carcinoma patients after radiotherapy, which can be applied in clinical practice.