0 05) when E/T was 1, whereas DNA fragmentation in oligonucleotide treated cells was significantly higher as compared with non treated cells ( P

Objective To study the significance of sentinel lymph node biopsy (SLND) in clinical stage Ⅰ,Ⅱ breast cancer patients. MethodsFrom January 1999 to January 2000, 126 patients with clinically stage Ⅰ,Ⅱ breast cancer received SLND guided by methylenc blue staining, and axillary lymph nodes clearance. Multilevel section and Immunohistochemistry (IHC) were performed in lymph nodes of patients with negative nodes. Results SN was identified in 95/126 cases(75.4%). The sensitivity of SLND was 91.7%, the specificity was 100%. It had 100% positive predictability and 92.5% negative predictability. The accuracy rate of intraoperative frozen-section examination of SN was 93.4%. One of 35 patients (2.9%) with H&E negative nodes had evidence of lymph node metastasis in the SN by multilevel sectioning and IHC.ConclusionSLND is extremely accurate in prediction of the lymph node status in patients with breast cancer. Multilevel sectioning and IHC analysis of SN improves the sensitivity of this staging technique.

Objective To investigate the distribution and drug resistance of pathogens isolated from blood culture samples from January 2012 to October 2013 to provide the basis for clinical lection of antibacterial drugs.Methods The blood samples were col-lected from the patients with suspected blood infection and cultured by the BD BACTEC 9120 automatic blood culture instrument. The samples with positive results were performed the bacterial identification and the drug sensitivity test by using the VITEK-2 COMPACT automatic bacterial identification instrument.Results A total of 969 strains of pathogens were isolated from blood cul-ture samples,including 540 strains(55.7%)of Gram-positive bacteria,413 strains(42.6%)of Gram-negative bacteria and 16 strains (1.7%)of fungi.The top 3 isolated pathogenic bacteria were Staphylococcus epidermidis,Escherichia coli and Staphylococcus au-reus.Staphylococcus epidermidis and Staphylococcus aureus were highly resistant to penicillin,sensitive to vancomycin and linezol-id;Escherichia coli and Klebsiella pneumoniae were highly sensitive to imipenem and Piperacillin/tazobactam.Conclusion It is nec-essary to understand the blood culture results timely so as to provide the basis for clinical antibacterial therapy and the improvement of the cure rate.

OBJECTIVETo study the predictive factors that are associated with intraoperative identification of the sentinel lymph node (SLN).

METHODSLymphatic mapping using blue dye was performed in 108 patients with stage I and II operable primary breast cancer. Subsequently the patients received operations of breast cancer including axillary dissection. Clinical and histological factors were assessed to determine those that were associated with intraoperative identification of the SLN.

RESULTSThe sentinel node was identified at the time of surgery in 84 patients (77.78%). Of the clinical factors assessed, age(y) < 50 (chi(2) = 7.447, P < 0.01), tumour in the upper quadrant (chi(2) = 6.330, P < 0.05), diagnosis by preoperative biopsy (chi(2) = 5.509, P < 0.05), successful mapping of the lymphatic duct (chi(2) = 13.125, P < 0.01) were significant in identifying the sentinel node at operation. No histological factor was associated with intraoperative identification of the sentinel node.

CONCLUSIONThere are the possibility of failure of SLN identification at sentinel lymph node biopsy. Our results suggest that the best predictor of intraoperative sentinel node identification is the visualization of the lymphatic duct on mapping by blue dye. Other factors such as age, tumour site as well as diagnostic method are also important in determining the success of the procedure.

Breast Neoplasms ; pathology ; Female ; Humans ; Intraoperative Care ; Lymph Nodes ; pathology ; Lymphatic Metastasis ; Middle Aged ; Neoplasm Staging ; Sentinel Lymph Node Biopsy

Objective:To investigate the predictive value of preoperative abdominal adipose tissue measurement for early recurrence after resection of hepatocellular carcinoma (HCC).Methods:The retrospective case-control study was conducted. The clinicopathological data of 238 patients with HCC who underwent surgical resection from January 2018 to January 2020 in 2 medical centers in China were collected, including 46 cases in the First Affiliated Hospital of Chongqing Medical University and 192 cases in the First Affiliated Hospital of Army Medical University. There were 207 males and 31 females, aged 51(48,65)years. All patients underwent abdominal computed tomography (CT) and/or magnetic resonance imaging (MRI) before surgery. Observation indicators: (1) measure-ment of abdominal adipose tissue; (2) follow-up; (3) analysis of influencing factors for early recurrence after resection of HCC; (4) prediction of early recurrence after resection of HCC. Follow-up was conducted by outpatient examinations and telephone interview to detect the postoperative survival of patients up to February 2022. Measurement data with normal distribution were represented as Mean± SD, and comparison between groups was performed by the t test. Measurement data with skewed distribution was represented by M(range) or M( Q1, Q3), and comparison between groups was performed by the Mann-Whitney U test. Count data were expressed as absolute numbers or percen-tages, and the chi-square test was used for comparison between groups. Univariate analysis was conducted using the corresponding statistical methods based on data type. Multivariate analysis was performed using the Logistic regression model advance method. The receiver operating characteristic curve was drawn, and the area under curve was used to evaluate the efficacy. Results:(1) Measure-ment of abdominal adipose tissue. Of the 238 patients, the total abdominal adipose tissue, visceral adipose tissue, subcutaneous adipose tissue, total adipose tissue index, visceral adipose tissue index, subcutaneous adipose tissue index were 292(198,355)cm 2, 153(99,194)cm 2, 128(95,154)cm 2, 106(76,130)cm 2/m 2, (57±27)cm 2/m 2, 46(34,58)cm 2/m 2 for 139 patients with early postoperative recur-rence, versus 174(114,251)cm 2, 78(50,110)cm 2, 88(55,127)cm 2, 64(42,91)cm 2/m 2, (30±16)cm 2/m 2, 31(19,46) cm 2/m 2 for 99 patients without early recurrence, respectively, showing significant diffe-rences between them ( Z=?7.39, ?7.87, ?5.03, ?7.25, t=?9.46, Z=?5.00, P<0.05). (2) Follow-up. All the 238 patients were followed up according to the plan. The survival time of 238 patients was 26(8,44)months. The survival time was 11(5,18)months for patients with postoperative early recur-rence, versus 36(32,43)months for patients without early recurrence, respectively. (3) Analysis of influencing factors for early recurrence after resection of HCC. Results of univariate analysis showed that body mass index, total adipose tissue, visceral adipose tissue, subcutaneous adipose tissue, total adipose tissue index, visceral adipose tissue index and subcutaneous adipose tissue index were related factors for early recurrence after resection of HCC ( t=?5.88, Z=?7.39, ?7.87, ?5.03, ?7.25, t=?9.46, Z=?5.00, P<0.05). Results of multivariate analysis showed that visceral adipose tissue index was an independent influencing factor for early recurrence after resection of HCC ( odds ratio=1.06, 95% confidence interval as 1.04?1.08, P<0.05). (4) Prediction of early recurrence after resection of HCC. According to the results of multivariate analysis, the receiver operating characteris-tic curve showed that the area under curve of visceral adipose tissue index was 0.80 (95% confidence interval as 0.75?0.86, P<0.05), with the sensitivity and specificity as 75.5% and 71.7%. Conclusions:Visceral adipose tissue index is an independent influencing factor for early recurrence after resection of HCC. The risk of early recurrence increases with the increase of visceral adipose tissue index.

OBJECTIVETo investigate the cause of sentinel lymph node biopsy failure and false negative result in vital blue injection for breast cancer.

METHODSEight-four female breast cancer patients were injected with vital blue to find the sentinel lymph nodes during operation. All patients were treated by the traditional radical or modified radical mastectomy with axillary dissection after sentinel node biopsy. All sentinel nodes, axillary lymph nodes and dissected specimens were submitted separately to pathological examination.

RESULTSSentinel node was not identified at the time of operation in 11 patients, giving a failure rate of 13.1%. In 73 patients in whom sentinel nodes were identified, 32 (43.8%) revealed cancer invasion. Postoperative axillary node pathology showed cancer metastasis in all of them. Two patients who showed uninvaded sentinel nodes were demonstrated to have axillary node metastasis. These were the two false negative patients. Therefore, the prediction of axillary metastasis by the sentinel node biopsy showed a sensitivity of 90.4%, a specificity of 100% and a false negative rate of 2.7%.

CONCLUSIONFailure in identifying the sentinel nodes in vital blue injection is related to the degree of mastering the technique and the method of injection. The cause of false negative result is due to an extensive primary tumor and the variation in the position of the sentinel lymph nodes.

Adult ; Aged ; Axilla ; pathology ; Breast Neoplasms ; pathology ; False Negative Reactions ; Female ; Humans ; Lymphatic Metastasis ; pathology ; Middle Aged ; Sentinel Lymph Node Biopsy

Objective:The results of the three lipid detection systems were compared to analyze their influence on risk stratification and clinical treatment in lipid management, especially the target goal cut-off point determination, and to find ways to reduce the impact on target goal determination of various lipid measurement system.Methods:A total of 196 serum samples with triglyceride TG <4.5 mmol/L were collected from people undergoing physical examinations and in-patients in the Second Xiangya Hospital of Central South University from August to October 2022. Triglyceride (TG), total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C) and high-density lipoprotein cholesterol (HDL-C) were directly detected with Hitachi-Woke (HW), Roche and Mindray detection systems, respectively. The non high-density lipoprotein cholesterol (non HDL-C) was calculated by formula (TC-HDL-C) and LDL-C (F-LDL-C) was calculated by Friedewald formula, and results from various methodology were compared. The coefficient of variation ( CV) of these six indicators derived from the three detection systems were calculated to evaluate the consistency of the obtained results from different venders. In addition, the Pearson correlation coefficient was analyzed to evaluate the correlation of each indicator among different systems. According to the Chinese Guidelines for Blood Lipid Management, samples were divided into groups with LDL-C levels of <1.4, 1.4-<1.8, 1.8-<2.6, 2.6-<3.4 and ≥3.4 mmol/L according to the recommended LDL-C levels for different risk stratification levels. The sample size and percentage of LDL-C test results from different systems in the same group were counted to evaluate the impact of LDL-C differences between systems on clinical decision-making of blood lipid management. The correction factor was calculated through two methods: (1) The average deviation of LDL-C between systems was estimated by EP9-A3 method; (2) Multiple linear stepwise regression was used to establish the regression model of LDL-C difference and related indexes between systems. The two correction factors were used to correct the deviation of LDL-C value obtained from various systems, and Chi-square test was used to compare the difference of LDL-C grouping consistency rate before and after correction. Result:The average CV values of TG, TC, LDL-C, F-LDL-C, HDL-C, and non HDL-C among the three detection systems were 4.84%, 1.92%, 11.96%, 3.81%, 5.82% and 2.61%, respectively. Correlation analysis showed that when comparing the three systems in pairs, except for LDL-C derived from HW and Roche′s, and Mindray and Roche′s LDL-C ( R 2=0.938 and 0.947), the R 2 of other indicators were all greater than 0.97. The consistency rates of the three systems on LDL-C and F-LDL-C were 51.0% (100/196) and 90.8% (178/196), respectively, according to the risk stratification standard values and the difference was statistically significant ( P<0.05). When comparing in pairs, the consistency rates of Roche and HW, Mindray and HW, Mindray and Roche system LDL-C grouping were 60.7% (119/196), 82.7% (162/196), and 54.1% (106/196), respectively. After adjusting for mean deviation, the group consistency rate of Roche and HW increased to 73.7%-79.4% ( P<0.05), and the group consistency rate of Roche and Mindray increased to 72.3%-79.0% ( P<0.05). After adjusting for difference regression model, the group consistency rate of Roche and HW increased to 82.5%-84.0%, and the group consistency rate of Roche and Mindray increased to 81.0%-89.2%. However, there was no significant change in the group consistency rate of Mindray and HW after adjusting for both correction methods ( P>0.05) .Conclusions:There are significant differences in LDL-C derived from different detection systems, and the consistency rate of grouping according to the lipid-lowering standard value is relatively low, which may affect clinical decision-making in lipid management. Adjusted by the correction factor, the consistency rate of grouping between Roche and HW, Roche and Mindray systems with large differences in LDL-C can be improved. Using the difference multiple linear regression model as a correction factor is superior to the average deviation.

Objective:To investigate the clinical value of abdominal adipose volume in predicting early tumor recurrence after resection of hepatocellular carcinoma (HCC).Methods:The retrospective case-control study was conducted. The clinicopathological data of 132 HCC patients with tumor diameter ≤5 cm who were admitted to The First Affiliated Hospital of Army Medical University from December 2017 to October 2019 were collected. There were 110 males and 22 females, aged (51±4)years. All patients underwent resection of HCC. Preoperative computer tomography scanning was performed and the visceral and subcutaneous fats of patients were quantified using the Mimics Research 21.0 software. Based on time to postoperative tumor recurrence patients were divided to two categories: early recurrence and non-early recurrence. Observation indicators: (1) consistency analy-sis; (2) analysis of factors influencing early tumor recurrence after resection of HCC and construction of prediction model. Measurement data with normal distribution were represented as Mean± SD, and comparison between groups was conducted using the t test. Measurement data with skewed distribu-tion were represented as M( Q1,Q3) or M(range), and comparison between groups was conducted using the Mann-Whitney U test. Count data were expressed as absolute numbers, and comparison between groups was conducted using the chi-square test or Fisher exact probability. Consistency analysis was conducted using the intragroup correlation coefficient (ICC) test. Multivariate analysis was performed using the binary Logistic regression model forward method. Independent risk factors influencing early tumor recurrence after resection of HCC were screened. The area under curve (AUC) of receiver operating characteristic (ROC) curve was applied to select the optimal cut-off value to classify high and low risks of recurrence. The Kaplan-Meier method was used to draw survival curve and calculate survival time. The Log-Rank test was used for survival analysis. Results:(1) Consistency analysis. The consistency ICC of abdominal fat parameters of visceral fat volume (VFV), subcutaneous fat volume, visceral fat area, and subcutaneous fat area measured by 2 radiologists were 0.84, 1.00, 0.86, and 0.94, respectively. (2) Analysis of factors influencing early tumor recurr-ence after resection of HCC and construction of prediction model. All 132 patients were followed up after surgery for 662(range, 292-1 111)days. During the follow-up, there were 52 patients with non-early recurrence and 80 patients with early recurrence. Results of multivariate analysis showed that VFV was an independent factor influencing early tumor recurrence after resection of HCC ( odds ratio=4.07, 95% confidence interval as 2.27-7.27, P<0.05). The AUC of ROC curve based on VFV was 0.78 (95% confidence interval as 0.70-0.85), and the sensitivity and specificity were 72.2 % and 77.4 %, respectively. The optimal cut-off value of VFV was 1.255 dm 3, and all 132 patients were divided into the high-risk early postoperative recurrence group of 69 cases with VFV >1.255 dm 3, and the low-risk early postoperative recurrence group of 63 cases with VFV ≤1.255 dm 3. The disease-free survival time of the high-risk early postoperative recurrence group and the low-risk early post-operative recurrence group were 414(193,702)days and 1 047(620,1 219)days, showing a significant difference between them ( χ2=31.17, P<0.05). Conclusions:VFV is an independent factor influen-cing early tumor recurrence of HCC after resection. As a quantitative indicator of abdominal fat, it can predict the prognosis of HCC patients.