Shengyutang is a famous classical formula of tonic， which is made from Siwutang with Ginseng Radix et Rhizoma and Astragali Radix. It is included in the Catalogue of Ancient Famous Classical Formulas（The First Batch）. Based on the Principles of Key Information Research of Ancient Famous Classical Formulas， this paper used bibliometrics to sort out and research the key information of Shengyutang in the aspects of history， composition， origin and processing， dosage， decocting method， efficacy and indications. After research， it has been found that this formula was first recorded in Lanshi Micang written by LI Dongyuan during the Jin dynasty， composed of Rehmanniae Radix， Rehmanniae Radix Praeparata， Chuanxiong Rhizoma， Ginseng Radix et Rhizoma， Astragali Radix and Angelicae Sinensis taproot. The name of the formula passed down through generations was relatively unified， with clear origins and veins. In later generations， this formula was the mainstream， and adjustments were made to the dosage and composition according to the indication. In the formula， Astragalus membranaceus var. mongholicus was selected as the origin of Astragali Radix， and the origins of other medicinal materials were consistent with the 2020 edition of Chinese Pharmacopoeia. Except for Rehmanniae Radix Praeparata， the other medicinal materials were made from raw products， and the dosage form was boiled powder. According to the measurement standard in the Jin dynasty， the recommended usage and dosage were 1.24 g of Rehmanniae Radix， Rehmanniae Radix Praeparata， Chuanxiong Rhizoma， Ginseng Radix et Rhizoma each， 2.07 g of Astragali Radix and Angelicae Sinensis taproot each， crushed into coarse particles that pass through the 4 mesh sieve but can't pass through the 10 mesh sieve， added 1 200 mL of water and boiled to 300 mL， and removed the residue. Shengyutang has the functions of tonifying Qi and blood， and blood intake， treating various sores， and restlessness and insomnia caused by excessive blood flow. In ancient times， this formula was widely used in the treatment of surgical sores， gynecological diseases， deficiency syndrome， etc. In modern clinical practice， it is mostly used to treat gynecological， neurological， musculoskeletal， hematological diseases caused by Qi and blood deficiency. In this paper， the key information of Shengyutang was researched by reviewing relevant ancient literature， in order to provide reference for the modern application and development of this formula.

Objective To observe the value of ultrasonic parameters for predicting whether patients with cesarean scar pregnancy(CSP)would benefit from ultrasound-guided suction curettage alone.Methods Totally 140 CSP patients diagnosed by transvaginal ultrasound and initially treated with ultrasound-guided suction curettage alone were prospectively recruited and categorized into benefited group(n=103)and non-benefited group(n=37)according to bleeding during suction curettage and prognoses.The ultrasonic manifestations of CSP were observed,and the thickness of chorionic villi at the scar,as well as of residual myometrium of the anterior wall in the lower segment of the uterus,also the maximum diameter of the gestational sac were measured and compared between groups,and the parameters with quantitative data being statistically different between groups were converted into categorical predictor through analyzing of the receiver operating characteristic(ROC)curves and the optimal cut-off values.The independent predictors were selected among ultrasonic features and categorical predictor variables being statistically different between groups using multivariate logistic regression,and a combined predicting model was then constructed,and the predicting efficacy of the combined model and each categorical predictor alone was assessed according to the area under curve(AUC)and then were compared.Results Compared with non-benefited group,the gestational weeks in benefited group were smaller(P＜0.05),and the percentages of rich blood supply and the presence of embryos and fetal heartbeats were lower,with thinner chorionic villi at the scar,thicker residual myometrium and smaller maximal diameter of the gestational sac in benefited group(all P＜0.05).ROC curves analyses yielded the best cut-off value for dichotomy of chorionic villi thickness at the scar was 4.7 mm,of residual myometrium thickness was 1.8 mm and of the maximum diameter of the gestational sac was 29 mm,respectively,and then categorical predictor variable were obtained.Multivariate logistic regression showed that the transformed categorical predictors,i.e.the thickness degree of the chorionic villi at the scar,the thickness degree of the residual muscle layer and the size degree of the gestational sac,were all independent predictors of whether CSP patients would benefit from ultrasound-guided suction curettage alone(all P＜0.05).The AUC of the combined predicting model was 0.918,higher than that of each transformed categorical predictor alone(all P＜0.05).Conclusion The thickness of the chorionic villi at the scar ≤4.7 mm,the thickness of the residual muscle layer＞1.8 mm and the maximum diameter of the gestational sac≤29 mm were all independent predictors of CSP patients would benefit from ultrasound-guided suction curettage alone,and the predicting efficacy of the combined model was higher than that of each alone.

Advances in novel drugs, therapies, and genetic techniques have revolutionized the diagnosis and treatment of cancers, substantially improving cancer patients' prognosis. Although rare tumors account for a non-negligible number, the practice of precision medicine and development of novel therapies are largely hampered by many obstacles. Their low incidence and drastic regional disparities result in the difficulty of informative evidence-based diagnosis and subtyping. Sample exhaustion due to difficulty in diagnosis also leads to a lack of recommended therapeutic strategies in clinical guidelines, insufficient biomarkers for prognosis/efficacy, and inability to identify potential novel therapies in clinical trials. Herein, by reviewing the epidemiological data of Chinese solid tumors and publications defining rare tumors in other areas, we proposed a definition of rare tumor in China, including 515 tumor types with incidences of less than 2.5/100 000 per year. We also summarized the current diagnosis process, treatment recommendations, and global developmental progress of targeted drugs and immunotherapy agents on the status quo. Lastly, we pinpointed the current recommendation chance for patients with rare tumors to be involved in a clinical trial by NCCN. With this informative report, we aimed to raise awareness on the importance of rare tumor investigations and guarantee a bright future for rare tumor patients.
Humans ; Neoplasms/pathology* ; Biomarkers ; Prognosis ; Oceans and Seas ; China/epidemiology*

Objective To preliminarily analyze the prediction efficiency of multimodal MRI?based radiomics model for preoperative glioma IDH1 gene expression type. Methods The MRI data of 108 surgery?proven glioma patients from May 2015 to January 2019 were retrospectively analyzed, and the MRI data included axial T1WI,T2WI,fluid attenuated inversion recovery (FLAIR),DWI imaging and enhanced T1WI sequence.Forty-seven cases were IDH1 mutant type, and 61 cases were IDH1 wild type. All patients were divided into training and validation groups according to the 7∶3 ratio of the random forest model. Seventy-three cases were in training group, and 35 cases were in validation group. Independent predictors of IDH1 mutation were screened by univariate analysis combined with multivariate logistic regression analysis (P<0.05) in order to construct a random forest diagnosis model of general clinical information and conventional MRI morphological features.General clinical information and conventional MRI morphological features included gender, age, umbers of cases of left and right hemispheres, location of tumors, maximum diameter of tumors, peritumoral edema, intratumoral cystic degeneration, enhancement and ADC value of tumors. The ROI was manually outlined by MaZda software in the most obvious level of 5 sequences of tumor mass and the radiomics features were extracted, including the gray?level co?occurrence matrix(GLCM), the run?length matrix(RUN), the absolute gradient(GRA),the auto?regressive model(ARM) and wavelets transform (WAV). The least absolute shrinkage and selection operator (LASSO)regression were used to select image radiomics features with a method of 10 fold cross?validation and to reduce the dimensions. The screened image radiomics labels were combined with the conventional morphological feature independent predictors to construct a multimodal MRI?based random forest model, and the validation data set was used to evaluate the accuracy and diagnostic efficiency of each model. The sensitivity and specificity of conventional MRI morphological feature model and multimodal MRI?based radiomics prediction model were evaluated dynamically by drawing ROC curves, and the prediction efficiency of the two models was quantified by using AUC statistical indicators. The model classification error rate under different outcomes and the classification error rate of out of bag(OOB)were used to evaluate the stability of the multimodal MRI?based random forest model. The contribution rate of each variable to the model was reflected by the characteristic variables importance assessment map. Results Univariate regression analysis of the conventional MRI morphological characteristics showed that peritumoral edema, cystic degeneration and enhancement were the three independent predictors of IDH1 gene expression (P<0.01). LASSO algorithm and 10?fold cross?validation identified six robust radiomic features including high frequency coefficients of wavelet transform (WavEnHH_s?4) of T2WI, S(4, 4) inverse difference of gray uniformity measurement (InvDfMom), S(5, 0) Entropy (entropy), WavEnHH_s?4 of T1WI enhancement, S(1, 1) InvDfMom, S(1, -1) Entropy Difference (DifEntrp)of Flair.The error rate of classification for different outcomes and classification error rate of random forest OOB data of multimodal MRI radiomics diagnosis model finally stabilized at 10%. The results of Characteristic Variable Importance Assessment Map: Mean Decrease Accuracy and Mean Decrease Gini index were consistent, which showed that besides three conventional MRI morphological predictors peritumoral edema, enhancement and cystic degeneration, the radiomics labels also played a key role in the model. The results of ROC curve showed that the accuracy, specificity,sensitivity and AUC of conventional MRI morphological feature model were 82.7%, 68.4%, 90.9% and 0.835, respectively, and those of multimodal MRI?based radiomics model were 88.5%, 89.5%, 87.8% and 0.956 respectively. Conclusion Multimodal MRI?based radiomics random forest model can improve the predictive efficiency of preoperative glioma IDH1 gene expression type more quantitatively.

Objective: To preliminarily analyze the prediction efficiency of multimodal MRI-based radiomics model for preoperative glioma IDH1 gene expression type. Methods: The MRI data of 108 surgery-proven glioma patients from May 2015 to January 2019 were retrospectively analyzed, and the MRI data included axial T₁WI,T₂WI,fluid attenuated inversion recovery (FLAIR),DWI imaging and enhanced T₁WI sequence.Forty-seven cases were IDH1 mutant type, and 61 cases were IDH1 wild type. All patients were divided into training and validation groups according to the 7∶3 ratio of the random forest model. Seventy-three cases were in training group, and 35 cases were in validation group. Independent predictors of IDH1 mutation were screened by univariate analysis combined with multivariate logistic regression analysis (P<0.05) in order to construct a random forest diagnosis model of general clinical information and conventional MRI morphological features.General clinical information and conventional MRI morphological features included gender, age, umbers of cases of left and right hemispheres, location of tumors, maximum diameter of tumors, peritumoral edema, intratumoral cystic degeneration, enhancement and ADC value of tumors. The ROI was manually outlined by MaZda software in the most obvious level of 5 sequences of tumor mass and the radiomics features were extracted, including the gray-level co-occurrence matrix(GLCM), the run-length matrix(RUN), the absolute gradient(GRA),the auto-regressive model(ARM) and wavelets transform(WAV). The least absolute shrinkage and selection operator (LASSO)regression were used to select image radiomics features with a method of 10 fold cross -validation and to reduce the dimensions. The screened image radiomics labels were combined with the conventional morphological feature independent predictors to construct a multimodal MRI-based random forest model, and the validation data set was used to evaluate the accuracy and diagnostic efficiency of each model. The sensitivity and specificity of conventional MRI morphological feature model and multimodal MRI-based radiomics prediction model were evaluated dynamically by drawing ROC curves, and the prediction efficiency of the two models was quantified by using AUC statistical indicators. The model classification error rate under different outcomes and the classification error rate of out of bag(OOB)were used to evaluate the stability of the multimodal MRI-based random forest model. The contribution rate of each variable to the model was reflected by the characteristic variables importance assessment map. Results: Univariate regression analysis of the conventional MRI morphological characteristics showed that peritumoral edema, cystic degeneration and enhancement were the three independent predictors of IDH1 gene expression (P<0.01). LASSO algorithm and 10-fold cross-validation identified six robust radiomic features including high frequency coefficients of wavelet transform (WavEnHH_s-4) of T₂WI, S(4,4) inverse difference of gray uniformity measurement (InvDfMom),S(5,0) Entropy (entropy),WavEnHH_s-4 of T₁WI enhancement, S(1,1) InvDfMom,S(1, -1) Entropy Difference (DifEntrp)of Flair.The error rate of classification for different outcomes and classification error rate of random forest OOB data of multimodal MRI radiomics diagnosis model finally stabilized at 10%. The results of Characteristic Variable Importance Assessment Map: Mean Decrease Accuracy and Mean Decrease Gini index were consistent, which showed that besides three conventional MRI morphological predictors peritumoral edema, enhancement and cystic degeneration, the radiomics labels also played a key role in the model. The results of ROC curve showed that the accuracy, specificity, sensitivity and AUC of conventional MRI morphological feature model were 82.7%, 68.4%, 90.9% and 0.835, respectively, and those of multimodal MRI-based radiomics model were 88.5%, 89.5%, 87.8% and 0.956 respectively. Conclusion Multimodal MRI-based radiomics random forest model can improve the predictive efficiency of preoperative glioma IDH1 gene expression type more quantitatively.

Objective To compare volar plating and nonoperative treatment for senile comminuted fractures of the distal radius. Methods From October 2012 to June 2015, 46 senile comminuted fractures of the distal radius ( AO types B and C ) were treated surgically or conservatively. Twenty old patients were managed by open reduction and fixation with a volar locked plate. They were 7 men and 13 women, with an average age of 67. 9 ± 10. 7 years, including 7 cases of AO type 23-B and 13 cases of AO type 23-C. Twenty-six patients were managed with closed reduction and plaster cast. They were 8 men and 18 women, with an average age of 66. 2 ± 11. 5 years, including 10 cases of AO type 23-B and 16 cases of AO type 23-C. The 2 groups were compared in terms of follow-up time, union time and wrist functional scores and complica-tions. Results There was no significant difference between the 2 groups in follow-up time ( P > 0. 05 ) . Fractures in the 2 groups all united about 11 weeks after surgery. According to Dienst scoring for reduction, the volar plating group had 13 excellent cases, 4 good ones, 2 fair ones and one poor case, with an excellent to good rate of 85. 0％ while the nonoperative group had 5 excellent cases, 10 good ones, 5 fair ones and 6 poor ones, with an excellent to good rate of 57. 7％. A significant difference was shown between the 2 groups ( P <0. 05 ) . At final follow-ups, the volar plating group had significantly lower Gartland & Werley wrist functional score ( 2. 16 ± 1. 82 ) and complication rate ( 30. 0％, 6/20 ) than the nonoperative group [ 6. 62 ± 3. 78 and 53. 8％( 14/26 ) , respectively ] ( P <0. 05 ) . Conclusion In treatment of senile comminuted fractures of the distal radius, volar locked plating may lead to better functional recovery and fewer complications than nonoper-ative management. However, one should take full account of the physical condition and preference of the patient when surgery is chosen.

Objective To investigate the feasibility of low-c oncentration iso_osmolar contrast agent together with low tube voltage and iterative reconstruction algorithm in rabbit liver computed tonography (CT) perfusion imaging.Methods A total of 15 bealthy New Zealand rabbits were scanned twice of liver CT perfusion scans each with 24 hours interval.The first scan (routine group) was acquired at 100 kV and 100 mAs with ultravist (370 mg/ml),while the second (double low group) was acquired at 80 kV and 100 mAs with iodixanol (270 mg/ml) at 24 hours after the first scan.The obtained images were reconstructed with filtered back projection (FBP) and adaptive iterative dose reduction (AIDR-3D)algorithms in the controlled and experimental groups,respectively.The perfusion parameters including hepatic artery perfusion(HAP),portal vein perfasion(PVP),hepatic perfusion index(HPI),and total liver perfusion(TLP) and image quality as image quality score,average CT value of abdomen aorta,signalto-noise ratio(SNR),carrier-to-noise ratio(CNR),and figure of merit(FOM) were compared used pair ttest or Mann-Whitney U-test between the two groups wherever appropriate.The effective radiation dose and iodine intake were also recorded and compared.Results The image quality and perfusion parameters had no significantly different between the two groups except for FOM.The effective radiation dose and iodine intake were 38.79％ and 27.03％ lower in the double low group.Conclusions Low concentration iso _osmolar contrast agent (iodixanol,270 mg/ml) together with low tube voltage (80 kV) helps to reduce radiation dose and iodine intake without compromising perfusion parameters and image quality in liver CT perfusion imaging.

Objective To explore the feasibility of coronary computed tomographic angiography (CCTA) for obese patients with lower tube voltage (100 kV) and lower contrast media concentration (270 mgI/ml) using iterative reconstruction.Methods A total of 48 patients with body mass index greater than 30 kg/m2 were included and randomly divided into 2 groups according to random number table method.The images of the control group were obtained using iodine 370 mgI/ml, a tube voltage of 120 kV, and traditional filtered back projection (FBP) image reconstruction.Patients in the test group were injected with isotonic low concentration contrast media (270 mgI/ml), scanned with a lower tube voltage (100 kV), and adaptive iterative noise reduction image reconstruction algorithm (AIDR-3D) was used.Two experienced physicians scored the image quality in a double-blind way.Independent sample t-test was used to compare the effective dose (E), average CT values, signal to noise ratio (SNR), contrast to noise ratio (CNR), the figure of merit (FOM), image quality scores and the total iodine intake.Side effect was also evaluated.Results The subjective scores for control group and test group were not significantly different (P ＞ 0.05).The scores of two physicians were consistency (Kappa =0.88, P ＜ 0.05).The average CT values, SNR and CNR for the two groups were not significantly different (P ＞ 0.05), but the FOM of the test group was significantly higher than that of the control group (t =-9.250,-8.604,-9.158,-5.341, P ＜ 0.05).Effective dose in the test group was (1.61 ± 0.41) mSv, lower than that of the control group (t =8.373, P ＜ 0.01).The total iodine and iodine injection rate in the test group were both lower than in the control group (t =7.628, 8.480, P ＜ 0.01).The incidence of contrast mediarelated discomfort in the test group was lower than control group (x2 =18.70, 6.25, P ＜ 0.05).Conclusions For obese patients, isotonic low concentration of contrast media and low-dose CCTA could be feasible, which substantially reduce the radiation dose and iodine intake without sacrificing image quality.Trial registration Chinese clinical trial registry, ChiCTR-DPD-15007510.

OBJECTIVETo optimize the experimental model of nitric oxide (NO) production in mouse peritoneal macrophages in response to lipopolysaccharides (LPS) stimulation.

METHODSMouse resident peritoneal macrophages were collected by lavaging the peritoneal cavity of mice with Hank's solution and stimulated with Pseudomonas aeruginosa LPS for NO production. NO concentration in the culture supernatants was measured with Griess Reagent. The influences of cell density, LPS concentration, LPS stimulation duration and culture medium volume on NO production were investigated. Finally, the feasibility of the model was confirmed with specific anti-inflammatory drugs.

RESULTSThe density of macrophages produced the most significant effect on NO production (P<0.001), and optimal results were obtained at the macrophage density of 6×10(6) cells/ml with a volume of 100 µl in each well in 96-well plate. At a LPS concentration below 1 µg/ml, NO production increased proportionally with the increment of LPS concentration (P<0.001), but the increment of NO production declined obviously at LPS concentrations beyond 1 µg/ml, and the peak NO production occurred at a LPS concentration of 10 µg/ml. NO production also increased significantly with the prolongation of LPS stimulation (P<0.05), and the increments were greater within 24-48 h than those in 48-72 h. NO content in the culture supernatant was associated with the medium volume, and the highest level occurred in a system volume of 100 µl. Aspirin (1 mmol/L), dexamethasone (10 µmol/L), and cyclosporin A (10 µmol/L) all significantly inhibited LPS-stimulated production of NO in mouse resident peritoneal macrophages (P<0.001).

CONCLUSIONSMacrophage density, LPS concentration, and the duration of LPS stimulation are the main factors affecting LPS-stimulated NO production in mouse resident peritoneal macrophages. The optimal results can be obtained with a macrophage density of 5×10(6) cells/ml (100 µl per well), LPS concentration of 10 µg/ml, LPS stimulation duration of 24 h or 48 h, and a culture medium volume of 100 to 200 µl.

Animals ; Cells, Cultured ; Female ; Lipopolysaccharides ; pharmacology ; Macrophages, Peritoneal ; drug effects ; secretion ; Male ; Mice ; Mice, Inbred Strains ; Nitric Oxide ; biosynthesis

Objective To evaluate the image quality and radiation dose of prospective electrocardiography-triggered coronary 320-slice volume CT angiography with different kV, and the feasibility of coronary scan with ＜ 1 mSv radiation dose.Methods Eighty consecutive patients were randomly divided into two groups equally.The tube voltage according to paradigm was 100 kV in group A and 120 kV in group B.All raw data in group A was reconstructed by the software AIDR in CT system to create a new group named as A1. Such parameters as the mean intraluminal attenuation (SI),noise (SD),signal-to-noise ratio (SNR),contrast-to-noise ratio (CNR),effective radiation dose(E) and image quality score measured in group A were compared with those in group B.The values such as SI,SD,SNR,CNR,image quality scores were compared between group A and group A1.The significance of group B and group A1 was compared in SI,SD,SNR,CNR,image quality scores as well.Results E in group A was significantly lower than that in group B[ E =(0.67 ± 0.18) mSv in group A vs.E =(3.08 ± 1.04) mSv in group B].The value of E in group A was decreased by 78％ compared to group B(t =- 14.30,P＜0.05 ).There was no significant difference in mean image quality scores between two groups(4.57 ± 0.57in groupA vs.4.59 ± 0.59 in group B,t=-1.17,P＞0.05).The values of SI,SD,SNR,CNR in group A were (570.8 ±131.5)HU,25.1 ±6.9,24.5 ±9.1,19.8 ±6.1.And the values of SI,SD,SNR,CNR in group B were (460.6 ± 14.3) HU,15.1 ±3.6,31.7 ±7.7,29.3 ±6.8.The values of SI and SD in group A were significantly higher than those in group B(t =4.49,8.18,P ＜0.05). The values of SNR and CNR in group A were lower than those in group B (t =-4.24,-6.19,P＜0.05).The valuesofS1,SD,SNR,CNR,image quality scores in group Al were (557.9 ±24.5) HU,21.1 ±6.0,27.7±10.0,23.4±7.8,4.60 ± 0.56.There was no difference in the SI and the image quality scores between group A and group A1 ( t =1.09,- 1.90,P ＞ 0.05).Conclusions 320-slice volume CT with 100 kV tube voltage and prospective ECG-triggered technique can reduce the radiation dose to less than 1 mSv and obtain optimal images in diagnosis of coronary arterial diseases.