Objective:To investigate the diagnostic value of preoperative fine-needle aspiration (FNA) of lymph nodes combined with washout thyroglobulin testing (FNA-Tg) for detecting lymph node metastasis in papillary thyroid carcinoma (PTC).Methods:A prospective study was conducted on 112 patients diagnosed with PTC at Wenzhou Central Hospital from December 2021 to December 2023, all of whom had suspicious lateral cervical lymph node metastasis identified through preoperative ultrasound. All patients underwent lymph node FNA and FNA-Tg. The suspicious lymph nodes were surgically excised. The diagnostic efficacy of FNA, FNA-Tg, and the combination of FNA and FNA-Tg for PTC with lymph node metastasis was compared.Results:A total of 112 patients were identified with 120 lymph nodes, among which 98 lymph nodes were confirmed to have metastasis by pathology. The results of the FNA cytology examination revealed 83 positive cases and 37 negative cases. The accuracy, sensitivity, and specificity for diagnosing lateral cervical lymph node metastasis were 80.83%, 80.61%, and 81.82%, respectively. In the FNA-Tg, there were 89 positive cases and 31 negative cases, with accuracy, sensitivity, and specificity for diagnosing lateral cervical lymph node metastasis at 89.17%, 88.78%, and 90.91%, respectively. When FNA and FNA-Tg were used in combination, there were 101 positive cases and 19 negative cases; the accuracy, sensitivity, and specificity for diagnosing lateral cervical lymph node metastasis were 94.17%, 97.96%, and 77.27%, respectively. The combined use of FNA and FNA-Tg demonstrated significantly higher accuracy in diagnosing metastatic lateral cervical lymph nodes in PTC compared to FNA and FNA-Tg alone ( χ2 = 50.64, P < 0.001; χ2 = 64.81, P < 0.001). Conclusions:The combined use of FNA and FNA-Tg demonstrates high accuracy in diagnosing lateral cervical lymph node metastasis in PTC.

Objective:To explore the method of CT quantitative evaluation of silicosis fibrosis in artificial stone and analyze its correlation with the stage of chest X-ray and lung function impairment.Methods:The clinical data of 142 patients with artificial stone silicosis who were treated at Shanghai Pulmonary Hospital from January 2018 to December 2022 were collected. These patients were diagnosed based on GBZ 70-2015 Diagnosis of Occupational Pneumoconiosis and underwent chest X-rays, chest CT scans, and lung function tests within a two-month period. The chest CT scoring method is based on the CT characteristics of silicosis, including ground-glass shadows, small nodule shadows, point-line shadows/cord-line shadows, emphysema/pulmonary bullae and patch shadows/mass shadows, with a scoring range of 0 to 25 points. Lung function indicators included FVC, FEV 1 and DLco. For inter-group comparisons of normally distributed quantitative data, one-way ANOVA was employed with LSD post-hoc test for multiple comparisons. Chi-square test was used for multi-group ratio comparisons. Kruskal-Wallis H test was applied to non-normally distributed quantitative data, followed by LSD post-hoc test. Spearman's rank correlation was used to analyze the relationship between pulmonary function indicators and CT fibrosis scores, Trend test was conducted using the Pearson test. Results:As the silicosis stage progressed, both the CT fibrosis score ( R=0.87, Ptrend<0.001) and the degree of lung function impairment (FVC: R=-0.41, Ptrend<0.001; FEV 1: R=-0.52, Ptrend<0.001) ; DLco: R=-0.38, Ptrend<0.001) showed an increasing trend. The CT fibrosis Score demonstrated a strong positive correlation with silicosis stage ( rs=0.85, Ptrend<0.001) and a moderate negative correlation with FVC, FEV 1, and DLco ( rs=-0.48, -0.56, and -0.45, respectively, with all P<0.05) . Over an average follow-up period of 14 months, it was observed that changes in the CT score had a strong to moderate negative correlation with variations in FVC and FEV 1 ( rs=-0.63 and -0.52, P<0.05) . Additionally, there was a moderate negative correlation between ground glass opacity and DLco ( rs=-0.52, P<0.001) . Conclusion:The CT fibrosis score not only reflects pathological changes associated with artificial stone-related silicosis but also provides a more precise representation of lung function injury.

[This corrects the article DOI: 10.1016/j.apsb.2019.01.013.].

This article mainly introduces Professor Xu Zhenye's experience in treating advanced colorectal cancer.According to Professor Xu,the pathogenesis of advanced colorectal cancer is mainly based on deficiency,supplemented by evils and realities,and most of the patients are suffering from deficiency of essence and Qi.The treatment should focus on replenishing the deficiency,followed by removing the evils and poisons.Professor Xu innovatively put forward the theory of"spleen deficiency and essence deficiency,supporting the positive to fight against cancer",treating intestinal cancer by strengthening the spleen,tonifying the kidney and nourishing the essence,supplemented by clearing heat and removing toxins to fight against tumour.

Purpose To investigate the value of non-invasive preoperative prediction of programmed death ligand 1 expression status in extrahepatic cholangiocarcinoma using MRI radiomics combined with clinical features through nomograms.Materials and Methods A retrospective collection was made of 87 cases of extrahepatic cholangiocarcinoma diagnosed through surgical pathology in the Affiliated Hospital of Southwest Medical University from January 2011 to December 2021.These were randomly divided into training and testing sets at a 7∶3 ratio.Using 3D-Slicer software,regions of interest were manually delineated layer-by-layer on MRI images,and radiomic features were extracted.Data normalization,feature dimensionality reduction and selection were then performed.A Gaussian naive Bayes classifier was used to construct the radiomics model,and radiomics scores were obtained.Multivariate Logistic regression was used to screen clinical features,and individual clinical and combined models were constructed.The predictive performances of the three models were evaluated using the area under the receiver operating characteristic curve(AUC),and the goodness of fit and clinical net benefit of the combined model nomogram were assessed through calibration and decision curves.Results Nine radiomic features and three clinical features were finally selected.The clinical features included alanine transaminase(P=0.020),aspartate transaminase(P=0.025)and total bilirubin(P=0.026).The predictive performance of the combined model(training set AUC 0.813,testing set AUC 0.818)was superior to that of the individual clinical model(training set AUC 0.711,testing set AUC 0.705)and the radiomics model(training set AUC 0.769,testing set AUC 0.767).Calibration and decision curves indicated good fit and better clinical net benefit for the combined model nomogram.Conclusion Based on preoperative multi-sequence MRI images and the radiomics score,along with alanine transaminase,aspartate transaminase and total bilirubin as clinical features,the constructed combined model nomogram effectively predicts the programmed death ligand 1 expression status in extrahepatic cholangiocarcinoma.This provides guidance for the precise and personalized immunotherapy for patients.

ObjectiveTo investigate the anti-Alzheimer's disease （AD） effect of Dipsacus asper（DA） in the Caenorhabditis elegans model， and decipher the underlying mechanism via the peroxisome proliferator-activated receptor α （PPARα）/transcription factor EB （TFEB） pathway. MethodsFirst， transgenic AD C. elegans individuals were assigned into the blank control， model， positive control （WY14643， 20 µmol·L^-1）， and low-， medium-， and high-dose （100， 200， and 400 mg·L^-1， respectively） DA groups. The amyloid β-42 （Aβ₄₂） formation in the muscle cells， the paralysis time， and the deposition of amyloid β-protein （Aβ） in the head were detected. The lysosomal autophagy in the BV2 cell model was examined by Rluc-LC3wt/G120A. The expression levels of lysosomal autophagy-related proteins LC3Ⅱ， LC3I， LAMP2， and TFEB were detected by Western blot. Real-time quantitative polymerase chain reaction （Real-time PCR） was employed to determine the mRNA levels of autophagy-related genes beclin1 and Atg5 and lysosome-related genes LAMP2 and CLN2 downstream of PPARα/TFEB. A reporter gene assay was used to detect the transcriptional activities of PPARα and TFEB. Immunofluorescence was used to detect the fluorescence intensity of PPARα， and the active components of the ethanol extract of DA were identified by UPLC-MS. RCSB PDB， Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform （TCMSP）， and Autodock were used to analyze the binding between the active components and PPARα-ligand-binding domain （LBD）. ResultsCompared with the model group， the positive control group and 200 and 400 mg·L^-1 DA groups showed prolonged paralysis time （P<0.05）， and all the treatment groups showed decreased Aβ deposition in the head （P<0.01）. DA within the concentration range of 50-500 mg·L^-1 did not affect the viability of BV2 cells. In addition， DA enhanced the autophagy flux （P<0.05）， up-regulated the mRNA levels of beclin1， Atg5， LAMP2， and CLN2 （P<0.05， P<0.01）， promoted the nuclear translocation of TFEB （P<0.05）， increased LAMP2 expression and autophagy flux （P<0.05， P<0.01）， and enhanced the transcriptional activities of PPARα and TFEB （P<0.01）. The positive control group and 200 and 400 mg·L^-1 DA groups showed enhanced fluorescence intensity of PPARα in the BV2 nucleus （P<0.01）. UPLC-MS detected nine known compounds of DA， from which 8 active components of DA were screened out. The docking results suggested that a variety of components in DA could bind to PPARα-LBD and form stable hydrogen bonds. ConclusionDA may reduce the pathological changes in AD by regulating the PPARα-TFEB pathway.

Objective: To analyze the distribution characteristics of immunoglobulin A (IgA) concentration in Nanning Zhuang blood donors by measuring the concentration of plasma IgA. Methods: Enzyme-linked immunosorbent assay (ELISA) was performed to measure the absorbance of 2 000 plasma samples from Zhuang blood donors. The IgA concentration in samples was calculated using the ELISA Calc regression/fitting technology program. Results: The standard curve demonstrated that ELISA detection of plasma IgA concentration exhibited good precision. The frequency of IgA deficiency was 0/2 000. No statistically significant difference in the distribution of IgA concentration was observed between males and females (P>0.05). The distribution of IgA concentration varied significantly across age groups: younger individuals (18-39 years old) had lower plasma IgA levels (mg/dL) compared to older individuals (40-56 years old): 5-89.99 mg/dL group, 8.80% (176/2 000) vs 17.20% (344/2 000); 90-450 mg/dL group,20.65% (413/2 000) vs 51.20% (1 024/2 000); >450 mg/dL group, 0.45%, (9/2 000) vs 1.70% (34/2 000), P<0.05. No significant difference in IgA concentration was found among different ABO blood types in Zhuang blood donors (P>0.05). Spearman correlation analysis revealed a positive correlation between age and IgA concentration (R =0.114, P<0.05). Conclusion: No individuals with IgA deficiency were screened out among the Zhuang blood donors in Nanning area, and plasma IgA levels progressively increase with age.

Objective:To explore the diagnostic value of digital mammography combined with serum glutathione specific gamma-glutamyl transpeptidase 1(CHAC1)and retinoic acid-induced protein 14(RAI14)in identifying benign and malignant breast masses.Methods:A total of 189 patients with breast masses who were treated at Handan Maternal and Child Health Care Hospital from June 2019 to June 2024 were prospectively selected as the research subjects.According to the results of pathological biopsy,they were divided into benign mass group(128 cases)and malignant mass group(61 cases).All patients underwent digital mammography detection.The levels of serum CHAC1 and RAI14 were detected by enzyme-linked immunosorbent assay(ELISA).The general clinical data of the patients were collected and analyzed.Multivariate logistic regression analysis was used to analyze the factors of influencing benign and malignant nature of breast masses.The receiver operating characteristic(ROC)curve was drawn to analyze the diagnostic value of CHAC1 and RAI14 for the benign and malignant nature of breast masses.The Kappa test was used to assess the consistency of results between each diagnostic method and the pathological detection.Results:For 189 patients with breast masses,digital mammography identified 56 cases of malignant masses and 133 cases of benign masses,and 13 cases of them were misdiagnosis and 18 cases of them were missed diagnosis.It showed a moderate consistency with the results of pathological detection(Kappa=0.617,P<0.05).Compared with the benign mass group,the levels of serum CHAC1 and RAI14 in the malignant mass group were significantly higher,and the differences of them between the two groups were statistically significant(t=12.249,12.512,P<0.05).The age,menopausal time,CHAC1 and RAI14 of the patients were all risk factors that can affect the benign and malignant nature of breast masses(OR=1.368,1.305,1.897,1.995,P<0.05).The area under curve(AUC),sensitivity and specificity of CHAC1 were respectively 0.816(95%CI:0.753～0.868),70.49%and 89.06%in diagnosing the benign and malignant nature of breast masses.These indicators of RAI14 were respectively 0.838(95%CI:0.778～0.888),68.85%and 89.84%in diagnosing the benign and malignant nature.The combined detection of the three methods identified 74 cases of malignant masses and 115 cases of benign masses,with 15 cases of misdiagnosis and 2 cases of missed diagnosis,which showed an extremely high consistency with the results of pathological detection(Kappa=0.805,P<0.001).The sensitivity(96.72%),negative predictive value(98.26%)and accuracy(91.01%)of the combined detection of digital mammography,serum CHAC1 and RAI14 were significantly higher than those of each alone detection of them,and the differences of them were significant(x2=15.310,16.623,15.310,11.690,12.402,11.572,5.276,5.276,4.677,P<0.05).Conclusion:The levels of serum CHAC1 and RAI14 appear increase in malignant breast masses,and digital mammography combined with serum CHAC1 and RAI14 has a certain of identification value for benign and malignant nature of breast masses.

Objective:To explore the method of CT quantitative evaluation of silicosis fibrosis in artificial stone and analyze its correlation with the stage of chest X-ray and lung function impairment.Methods:The clinical data of 142 patients with artificial stone silicosis who were treated at Shanghai Pulmonary Hospital from January 2018 to December 2022 were collected. These patients were diagnosed based on GBZ 70-2015 Diagnosis of Occupational Pneumoconiosis and underwent chest X-rays, chest CT scans, and lung function tests within a two-month period. The chest CT scoring method is based on the CT characteristics of silicosis, including ground-glass shadows, small nodule shadows, point-line shadows/cord-line shadows, emphysema/pulmonary bullae and patch shadows/mass shadows, with a scoring range of 0 to 25 points. Lung function indicators included FVC, FEV 1 and DLco. For inter-group comparisons of normally distributed quantitative data, one-way ANOVA was employed with LSD post-hoc test for multiple comparisons. Chi-square test was used for multi-group ratio comparisons. Kruskal-Wallis H test was applied to non-normally distributed quantitative data, followed by LSD post-hoc test. Spearman's rank correlation was used to analyze the relationship between pulmonary function indicators and CT fibrosis scores, Trend test was conducted using the Pearson test. Results:As the silicosis stage progressed, both the CT fibrosis score ( R=0.87, Ptrend<0.001) and the degree of lung function impairment (FVC: R=-0.41, Ptrend<0.001; FEV 1: R=-0.52, Ptrend<0.001) ; DLco: R=-0.38, Ptrend<0.001) showed an increasing trend. The CT fibrosis Score demonstrated a strong positive correlation with silicosis stage ( rs=0.85, Ptrend<0.001) and a moderate negative correlation with FVC, FEV 1, and DLco ( rs=-0.48, -0.56, and -0.45, respectively, with all P<0.05) . Over an average follow-up period of 14 months, it was observed that changes in the CT score had a strong to moderate negative correlation with variations in FVC and FEV 1 ( rs=-0.63 and -0.52, P<0.05) . Additionally, there was a moderate negative correlation between ground glass opacity and DLco ( rs=-0.52, P<0.001) . Conclusion:The CT fibrosis score not only reflects pathological changes associated with artificial stone-related silicosis but also provides a more precise representation of lung function injury.