The number of patients with reduced blood volume due to haemorrhage, fractures, severe infections, extensive burns and tumours is increasing, and traditional blood products are no longer able to meet the increasing clinical demand. Therefore, plasma substitutes have become particularly important in fluid resuscitation, especially artificial colloidal solutions, which have a sustained volume expansion time and a good volume expansion effect, and can significantly improve the circulatory status of patients. This article aims to review the classification of artificial colloidal plasma substitutes and their research progress in clinical practice, in order provide a more rigorous, professional and standardized reference for medicine.

Objective To observe the value of machine learning(ML)models based on ultrasound radiomics for preoperatively distinguishing atypical parathyroid tumor(APT)/parathyroid carcinoma(PC)and parathyroid adenoma(PA).Methods Totally 330 primary hyperparathyroidism patients who underwent surgical treatments were retrospectively enrolled and categorized into APT/PC group(n=78)and PA group(n=252)according to surgical pathology and clinical follow-up results,also divided into training set(n=231)and test set(n=99)at the ratio of 7∶3.Based on preoperative ultrasound,545 radiomics features were extracted,and recursive feature elimination(RFE),Kruskal-Wallis or analysis of variance methods were used to screen the features,respectively.Support vector machine(SVM),linear discriminant analysis(LDA),least absolute shrinkage and selection operator logistic regression(LRLASSO),also random forest(RF)and decision tree(DT)algorithms were adopted to construct ML models for differentiating APT/PC and PA,respectively.Then the models were trained in training set,their performance were verified in test set,and a 5-fold cross-validation was adopted to screen out the better combinations.Results Compared with Kruskal-Wallis and analysis of variance methods,the distinguishing efficacy of SVM,LDA,LRLASSO,RF and DT models constructed based on features screened out using RFE method in training set(area under the curve[AUC]=0.870,0.878,0.850,0.847,1.000)and test set(AUC=0.856,0.842,0.827,0.847 and 0.704)were all relatively higher.In test set,the AUC of SVM,LDA,LRLASSO and RF models constructed based on the features screened out using RFE method(included 25,23,17 and 23 features)were all higher than that of DT model(8 features)(all P＜0.001).No significant difference of AUC was found between SVM,LRLASSO or RF models and LDA model(all P＞0.05).The AUC of SVM and RF models were higher than that of LRLASSO model(both P＜0.05),while of SVM and RF models were not significantly different(P＞0.05),indicating that SVM,LDA and RF models were better ones.Conclusion SVM,LDA,LRLASSO,RF and DT models based on ultrasound radiomics could effectively distinguish APT/PC and PA preoperatively,among which SVM,LDA and RF models had better diagnostic efficacy.

Objective To observe the value of machine learning(ML)models based on ultrasound radiomics for preoperatively distinguishing atypical parathyroid tumor(APT)/parathyroid carcinoma(PC)and parathyroid adenoma(PA).Methods Totally 330 primary hyperparathyroidism patients who underwent surgical treatments were retrospectively enrolled and categorized into APT/PC group(n=78)and PA group(n=252)according to surgical pathology and clinical follow-up results,also divided into training set(n=231)and test set(n=99)at the ratio of 7∶3.Based on preoperative ultrasound,545 radiomics features were extracted,and recursive feature elimination(RFE),Kruskal-Wallis or analysis of variance methods were used to screen the features,respectively.Support vector machine(SVM),linear discriminant analysis(LDA),least absolute shrinkage and selection operator logistic regression(LRLASSO),also random forest(RF)and decision tree(DT)algorithms were adopted to construct ML models for differentiating APT/PC and PA,respectively.Then the models were trained in training set,their performance were verified in test set,and a 5-fold cross-validation was adopted to screen out the better combinations.Results Compared with Kruskal-Wallis and analysis of variance methods,the distinguishing efficacy of SVM,LDA,LRLASSO,RF and DT models constructed based on features screened out using RFE method in training set(area under the curve[AUC]=0.870,0.878,0.850,0.847,1.000)and test set(AUC=0.856,0.842,0.827,0.847 and 0.704)were all relatively higher.In test set,the AUC of SVM,LDA,LRLASSO and RF models constructed based on the features screened out using RFE method(included 25,23,17 and 23 features)were all higher than that of DT model(8 features)(all P＜0.001).No significant difference of AUC was found between SVM,LRLASSO or RF models and LDA model(all P＞0.05).The AUC of SVM and RF models were higher than that of LRLASSO model(both P＜0.05),while of SVM and RF models were not significantly different(P＞0.05),indicating that SVM,LDA and RF models were better ones.Conclusion SVM,LDA,LRLASSO,RF and DT models based on ultrasound radiomics could effectively distinguish APT/PC and PA preoperatively,among which SVM,LDA and RF models had better diagnostic efficacy.

ObjectiveTo observe the effects of electroacupuncture at Zhongwan （CV12） on gastric nociceptive response induced by gastric acid stimulation and explore the underlying mechanisms associated with nuclei of the medullary viscerosensory and visceral motor neurons. MethodsTwenty SD rats were given intragastric administration of 0.5 mol/L diluted hydrochloric acid （0.5 ml/100 g） to induce gastric nociceptive response induction. Eight rats were randomly selected to record the gastric slow wave （GSW） area under the curve， and extracellular discharge frequency of neurons in the nucleus of the solitary tract （NTS） and dorsal motor nucleus of the vagus nerve （DMV） before intragastric administration and at 1， 5， 10， 15， 20， 25， 30， 35， 40， 45， 50， 55， and 60 minutes after intragastric administration. The remaining 12 rats received electroacupuncture intervention at Zhongwan within 5 to 25 minutes after intragastric administration of diluted hydrochloric acid， with a duration of one minute. The GSW area under the curve and extracellular discharge frequency of NTS and DMV neurons were compared between the 1-minute intervals before and after electroacupuncture intervention. ResultsCompared to the baseline before intragastric administration， the area under the curve of GSW significantly increased at 1， 5， 10， 15， 20， and 25 minutes after intragastric administration， and the extracellular discharge frequency of excitatory neurons in the NTS （accounting for 90%， 57/63） significantly increased at 1， 5， 10， 15， 20， 25， 30， 35， and 40 minutes， both reaching peak values at 1 minute after intragastric administration （P＜0.01 or P＜0.05）. The extracellular discharge frequency of inhibitory neurons in the DMV （accounting for 91%， 20/22） showed a non-significant increase at 1 minute after intragastric administration （P＞0.05）， but significantly decreased at other timepoints （P＜0.05）. Compared to the baseline before electroacupuncture intervention， the GSW area under the curve and the extracellular discharge frequency of excitatory neurons in the NTS significantly decreased （P＜0.05）， while the extracellular discharge frequency of inhibitory neurons in the DMV showed no significant difference （P＞0.05）. ConclusionElectroacupuncture at Zhongwan can improve gastric nociceptive response induced by gastric acid stimulation， possibly by reducing the transmission of visceral sensation and decreasing the excitability of NTS neurons in the medulla.

Objective:To establish a nomogram for preoperative differentiating intrahepatic cholangiocarcinoma (ICC) from hepatocellular carcinoma (HCC) based on clinical, ultrasound, and contrast-enhanced ultrasound (CEUS) data.Methods:A retrospective analysis was conducted on ultrasound and CEUS data of 462 patients who underwent hepatectomy in Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School from January 2016 to December 2023, including 262 cases of HCC (56.7%) and 200 cases of ICC (43.3%). The data were randomly divided into training set ( n=324) and validation set ( n=138) in a 7∶3 ratio. Univariate analysis was used to initially screen for variables with statistically significant differences between HCC and ICC groups in the training set, and LASSO regression was performed to select the variables with higher coefficients. Logistic regression analyses were then used to predict independent risk factors for ICC. A nomogram was drawn using R software. The performance of the nomogram was then validated using ROC curve, calibration curve, and decision curve analysis (DCA). Results:Univariate analysis showed that there were significant differences in age, gender, liver cirrhosis, HBsAg (+ ), ALP >185 U/L, CA19-9 >27 kU/L, CA242>10 kU/L, irregular shape, border, cholangiectasis, portal vein tumor thrombus, enhanced pattern in arterial phase, clearance time <60 s, intra-tumoral vein between ICC and HCC groups (all P<0.05). The top 10 features were selected for LASSO regression analysis. Logistic regression analysis revealed that gender, cirrhosis, CA19-9>27 kU/L, CA242>10 kU/L, cholangiectasis, clearance time <60 s, intra-tumoral vein and enhanced pattern in arterial phase were risk factors for ICC (all P<0.05). The area under the ROC curve in the training and validation groups were 0.963 and 0.914, respectively. In the training group, the specificity and sensitivity of the nomogram were 0.926 and 0.917, respectively, and in the validation group, they were 0.875 and 0.871, respectively. The calibration curve showed that the prediction effect of the model was in good agreement with the actual situation. DCA showed that the nomogram could increase the net benefit to the different diagnosis of ICC in patients. Conclusions:The nomogram based on clinical, ultrasound and CEUS features has a good predictive value for preoperative identification of ICC and provides reliable evidence for clinical practice.

Objective:To establish and evaluate a clinical and ultrasound parameters-based nomogram for the preoperative differentiating diagnosis of intrahepatic cholangiocarcinoma (ICC).Methods:A total of 723 patients undergoing hepatectomy in Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University from January 2016 to August 2022 were retrospectively screened. A total of 399 patients with hepatocellular carcinoma (HCC, 198 cases) or ICC (201 cases) were enrolled in this study, including 284 males and 115 females, aged (60.5±10.5) years. Through random sampling using computer-generated random numbers, patients were divided into training ( n=279) and validation groups ( n=120) in a ratio of 7∶3. Univariate and multivariate logistic regression were performed to identify factors differentiating ICC, and a nomogram was established using R software based on independent risk factors for ICC. The accuracy of the nomogram was evaluated by receiver operating characteristic curve and calibration curves. Decision curve analysis was performed to assess the net benefit of the model. Results:Multivariate logistic regression analysis showed that irregular shape, cholangiectasis, female, cirrhosis, carbohydrate antigen 242 >10 U/ml, carbohydrate antigen 125 >30 U/ml and alpha-fetoprotein >10 μg/L were independent differentiating factors for ICC (all P<0.05). A nomogram was constructed based on those factors. The nomogram showed a better discrimination between ICC and HCC. The area under the curve of the training group and the validation group were 0.966 and 0.956, respectively. The calibration curve showed that the prediction effect of the model is in good agreement with the actual situation. Decision curve analysis showed that the nomogram was more effective than diagnosing all patients as either HCC or ICC, which yielded a net benefit at the most reasonable threshold probabilities. Conclusion:The nomogram for the preoperative diagnosis of ICC based on clinical and ultrasound features showed a good diagnostic performance.

Objective: To investigate the effect of macrophage-capping protein (CapG) on migration and proliferation of human gastric cancer cell line.Methods: Real-time PCR method was used to detect the expression of CapG gene in four gastric cancer cell lines, and AGS cells with low expression and transfection were selected as the research objects.Specific primers were designed for CapG and recombinant plasmids synthesized.A lentivirus packaging system which could express CapG was constructed, and a cell line stably expressing CapG was established by infecting human gastric cancer cell line AGS cells.The effect of overexpression of CapG gene on the growth and proliferation of AGS cells was analyzed by CCK8 assay.Cells cratch and Transwell assay were used to analyze the effect of overexpression of CapG gene on AGS cell migration.Results: After the overexpression of CapG, the growth rate of AGS cells was slightly lower than that of the control group, but there was no significant difference between the two groups (t=2.424, P=0.073).Scratch test showed that the average narrowing distance of the scratches in the CapG experimental group was significantly reduced compared with the control group, the average narrowing distance of the CapG experimental group and the control group was 336.99 μm and 45.54 μm, the difference was statistically significant (t=14.97, P=0.004).The average number of cell penetra-ting membrane in the CapG experimental group and the eGFP control group was 176 and 70, the number of the cells in the CapG experimental group was significantly higher than that of the control group (t=40.00, P<0.001).Conclusion: The overexpression of CapG gene has no significant effect on the growth and proliferation of AGS cells of gastric cancer cell line.Overexpression of CapG gene can promote the migration of AGS cells of gastric cancer cell lines.

Objective To monitor the dynamic changes of radiation-induced parotid damage using T2 ? mapping.Methods Thirty-four patients with nasopharyngeal carcinoma (NPC)were enrolled.All patients underwent T1 WI,T2 WI and T2 ? mapping for bilateral parotid glands at pre-RT (2 weeks before radiotherapy),mid-RT (5 weeks after the beginning of radiotherapy)and post-RT (4 weeks after the completion of radiotherapy).Parotid MR parameters,mean radiation dose and xerostomia degrees of the patients at different time points were recorded.Furthermore,nine healthy volunteers were enrolled,who undergone T2 ? mapping twice with an interval of 4 weeks in order to analyze the reproducibility of T2 ? value.Results From pre-RT to mid-RT and post-RT,parotid volume decreased [atrophy rates,(25.34±11.33)％ and (25.74±9.93)％,respectively]and T2 ? values decreased [change rates,(-5.63±8.86)％ and (-4.81±10.67)％, respectively]significantly (all P < 0.01 ).Parotid normalized T1 signal intensity decreased significantly from pre-RT to post-RT [change rate,(-7.43±10.61)％,P =0.007],and the change rate was correlated inversely with mean radiation dose significantly (r =-0.646, P <0.001).Parotid volume and T2 ? value changed correspondingly with xerostomia degrees of the patients during radiotherapy.Parotid MR parameters showed excellent reproducibility (intraclass correlation coefficient,0.843 -0.993).Conclusion The dynamic changes of radiation-induced parotid damage in patients with NPC can be noninvasively evaluated by routine MRI and T2 ? mapping.

Objective To assess the histological characteristics of cervical cancer using intravoxel incoherent motion magnetic resonance imaging ( IVIMMRI) and to investigate the performance of IVIMMRI in evaluation of the efficacy of concurrent chemoradiotherapy in the treatment of intermediate/advanced cervical cancer. Methods Pelvic MRI scans, containing T2WI, IVIM (14 b values, b=0?1 000 s/mm2), and contrast?enhanced T1 scans were performed in 23 patients pathologically diagnosed with intermediate/advanced cervical cancer ( stage ≥Ⅱb ) before chemoradiotherapy, after two and four weeks of treatment, and at the end of treatment. The IVIMMRI data were processed with the bi?exponential model to generate three parameters, containing pure diffusion coefficient ( D ) , pseudodiffusion coefficient ( D?) , and perfusion fraction ( f ) . Apparent diffusion coefficient ( ADC ) was obtained using the mono?exponential model. The IVIMMRI parameters were measured at each time point and their dynamics and correlation were analyzed. Results The ADC, D, and f values were significantly higher after complete treatment ( 0?96 × 10-3 vs. 1?77 × 10-3 mm2/s, P=0?000;0?76 × 10-3 vs. 1.34± 0?12 × 10-3 mm2/s, P=0?000;0?14% vs. 0?24%, P=0?012). The above three values significantly increased after two weeks of treatment (all P=0?000) and kept increasing until the end of the treatment. In contrast, the D? value was reduced from the second week to the end of the treatment. Conclusions IVIMMRI can monitor the dynamic functional changes and early tumor responses during chemoradiotherapy for cervical cancer, which holds promise for clinical application.

Objective To investigate the clinical pathological characteristics, diagnosis and treatment of breast rhabdomyosarcoma, and to enhance the awareness of malignancy infiltration to bone marrow (BM). Methods The data of one case of Rhabdomyosarcoma of breast were analyzed retrospectively. BM aspirate and biopsy, morphology, immunology, cytogenetics, molecular biology (MICM) in different parts of BM, peripheral blood smear, fine puncture of breast mass, final biopsy of breast mass by Mammotome System and whole body PET-CT were performed. The immunochemistry stain of specimen of breast mass was used. Results The peripheral blood smear of this patient showed immature erythrocytes, leucocytes and classification of unknown cells which were consistent with BM morphology. The results of BM aspirate and biopsy depicted a hypercellular specimen with disseminated unknown cells infiltration. Unknown cells were positive for CD56 and negative for any hematopoietic markers by flow cytometry. The whole body PET-CT showed that uptake of 18F-FDG of bilateral breast and whole BM was increased, whereas the mass of breast was not presented by CT. PET-CT suggested a probable malignant hematologic disease. The enough specimen of breast mass got from Mammotome System showed embryonal rhabdomyosarcoma, and the tumor cells were positive for MyoD1, Vimentin and Desmin. Conclusions It is a challenge for early diagnosis of solid sarcoma with unknown origin which diffusely infiltrating into BM. Negative expression of hematopoietic markers by flow cytometry plays a role on differential diagnosis in this setting, whereas PET-CT only provides a valuable reference. Enough specimen and immunohistochemical staining could provide solid evidences of diagnosis.