AIM: To analyze the influencing factors of postoperative dry eye complication after corneal transplantation and to build a nomogram prediction model.METHODS: Clinical data were collected on 117 patients who underwent corneal transplantation at our hospital from March 2021 to February 2023. They were divided into dry eye group(n=96)and non-dry eye group(n=21)according to whether there was a postoperative dry eye. The risk factors of postoperative complication of dry eye after corneal transplantation were analyzed, the nomogram prediction model for predicting postoperative complication of dry eye after corneal transplantation was constructed, and the internal validation of the model and the prediction efficacy were assessed by calibration curves and decision curves, respectively.RESULTS: Comorbid diabetes mellitus, comorbid sleep disorders, comorbid meibomian gland dysfunction, chronic eye drop abuse, chronic corneal contact lens wear, interleukin-6(IL-6), and tumor necrosis factor-α(TNF-α)were the risk factors for the complication of dry eye after corneal transplantation(P<0.05). The nomogram model predicted a C-index of 0.890(95% CI 0.877-0.903). The nomogram model had a threshold >0.07, and the nomogram model provided higher net clinical benefit than the single index in all cases.CONCLUSION: The nomogram model built in this study based on the factors affecting the complication of dry eye after corneal transplantation has a good predictive value for the complication of dry eye after corneal transplantation.

Objective To investigate the clinicopathologic characteristics and prognosis of triple negative breast cancer patients. Methods A retrospective analysis was performed for 1042 primary breast cancer patients admitted in the First Affiliated Hospital of Nanjing Medical University from January 2003 to December 2009.All breast cancer patients were categorized into three subgroups by immunohistochemistry:ERBB2 +,HR +/ERBB2 - and triple negative. Results Of 1042 breast cancer patients recruited,183 patients were in triple negative group.The rate of larger tumors ( greater than 2 cm in diameter) and grade Ⅲ in triple negative patients was higher than that in ERBB2 + and HR +/ERBB2 - patients (P ＜0.01 ).The positive rate of p53 status in ERBB2 + patients was higher than that in triple negative and HR +/ERBB2- patients (P ＜ 0.01 ).No significant differences were observed in other clinical variables.In survival analysis,more bone metastases were observed in HR +/ERBB2 - patients than in ERBB2 + and triple negative patients (P =0.006).However,no significant difference was observed in visceral metastases among the subgroups.There were significantly different recurrence-free survivals (RFS) among the three subgroups throughout the follow-up period ( P =0.029),the 5-year RFS of ERBB2 + was 80.3％,which was the worst in three groups. Conclusions Triple negative patients had higher rate of larger tumors (greater than 2 cm in diameter) and grade Ⅲ than that in ERBB2 + and HR +/ERBB2 - patients,while its 5-year RFS was higher than ERBB2 + patients.

AIM: To investigate the efficacy of optimal pulse technology(OPT)in the treatment of demodex blepharitis and its influence on ocular surface function.METHODS: A retrospective study was conducted from February 2018 to October 2020. A total of 127 patients(254 eyes)with demodex blepharitis were assigned to the observation group and the control group according to the treatment method. The control group(63 patients, 126 eyes)were given conventional hot compress, eye cleansing and drug therapy. On this basis, the observation group(64 patients, 128 eyes)was treated with OPT. Both groups were given 6wk of continuous treatment. Demodex count, Marx's line scores, meibum character scores, ocular surface disease index(OSDI)scores, non-invasive tear break-up time(NIBUT), non-invasive tear meniscus height(NITMH)and lipid layer thickness(LLT)were compared between the two groups, and safety was evaluated.RESULTS: After 6wk of treatment, demodex count, Marx's line scores, meibum character scores and OSDI scores of the two groups decreased. NIBUT, NITMH and LLT increased. Meanwhile, demodex count, Marx's line scores, meibum character scores and OSDI scores of the observation group were significantly lower than those in the control group. NIBUT, NITMH and LLT were longer/larger than those in the control group(P<0.001). No obvious abnormality of intraocular pressure or conjunctival/corneal injury was observed in either group.CONCLUSION:OPT is effective and safe in the treatment of demodex blepharitis.

Objective:To investigate the accuracy of a threshold-based segmentation method based on cone beam breast CT(CBBCT) images in breast density measurement,and its value for breast-type classification and breast cancer screening.Methods:A retrospec-tive analysis of 195 patients who had undergone CBBCT examination at Tianjin Medical University Cancer Institute and Hospital be-tween May 2012 and August 2014 was performed.A total of 64 breasts were analyzed.On the basis of the classification criteria for breast density in BI-RADS,they were classified into four types and the majority report was reported.Breast density was measured by the threshold-based segmentation method based on CBBCT images and corrected manually to obtain the corrected breast density.A month later,the procedure was repeated.Intra-class correlation coefficients(ICCs)were used to compare the intra-observer and inter-observer consistencies of threshold-based segmentation and manually corrected breast density measurement results for non-dense and dense breasts.Results:For threshold-based segmentation measurements the intra-observer and inter-observer ICC values were 0.0.9624(95% CI:0.9388~0.9770)and 0.9666(95% CI:0.9500~0.9785).For manually corrected measurements,the intra-observer and inter-observer ICC values were 0.9750 (95% CI: 0.9592~0.9847) and 0.9775 (95% CI: 0.9661~0.9855). The ICC between the threshold-based segmentation method and manual correction was 0.9962 (95% CI: 0.9983~0.9977). The ICC values of threshold-based and manually corrected measurement in non-dense and dense breasts were 0.9497(95% CI:0.7072-0.9914)and 0.9983(95% CI:0.9971-0.9990),respectively.Conclusions:The threshold-based segmentation method based on CBBCT is a reliable and accurate com-puter-aided method of measuring breast density.It is expected to be applied in large-scale screening of breast cancer and to provide more information for predicting the risk of breast cancer.

Objective To evaluate the accuracy of cone?beam breast CT (CBBCT) on tumor sizing in patients with invasive breast carcinoma and analyze the influence factors. Methods The preoperative CBBCT images of 82 female patients (85 breast lesions) with invasive breast carcinoma confirmed by pathology from November, 2011 to December, 2017 in Tianjin Medical University Cancer Hospital were included in this retrospective study. All the patients underwent the pathology and immunohistochemical test after operation. Tumor size estimation were performed on preoperative CBBCT images. Referring to tumor size measurement on pathology, all the lesions were divided into two groups. Concordance was defined as the discrepancy in diameter less than 0.5 cm, and the discordance was more than 0.5 cm. Pathology examination was performed after resection, and estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2(HER?2) and Ki?67 result were recorded. All the lesions were classified into molecular subtype, including 14 Luminal A, 50 Luminal B, 11 HER?2?enriched and 10 triple?negative. Intraclass correlation coefficient (ICC) and Pearson correlation coefficient were used to analyze the reliability of CBBCT on tumor sizing. CBBCT?pathology discordance was analyzed based on the clinical, histopathology and CBBCT features by using t test, Chi?square and Fisher exact test. ROC curve was used to analyze the cut?off value between tumor size and CBBCT?pathology discordance. Results The agreement between CBBCT (2.155 ± 0.799) cm and pathology (1.986 ± 0.933) cm measurement was on moderate degree based on the ICC value (ICC=0.781, P<0.01) and had positive correlation (r=0.803, P<0.01). CBBCT?pathology concordance was found in 71 lesions, and discordance in 14 lesions. The factors of family history, symptom, pathology type, molecular subtypes, histological grade, surrounding fat invasion, lymphatic invasion, axillary lymph node metastasis, HER?2 positive and Ki?67 high expression had no significant difference between two groups. ER or PR positive had significant difference, suggesting that the accuracy of evaluation on ER or PR negative lesions could be reduced. The cut?off value of ROC curve between tumor size and CBBCT?pathology discordance was 2.08 cm, and the area under curve was 0.70. In 85 lesions. 66 of 75 mass lesions and 5 of 10 non?mass lesions were consistent. The lesion type had significant difference between two groups (χ2=6.705, P=0.010), which suggested the CBBCT evaluation on non?mass could have discrepancy with pathology. Conclusion CBBCT has high accuracy on tumor size evaluation on invasive carcinoma. ER or PR negative, large lesions or non?tumor lesions should be alert to the impact of CBBCT?pathology discordance before surgery which may cause the alteration of surgical protocols.

Objective:To investigate the value of logistic regression model based on the features of cone-beam breast CT (CBBCT) for the identification of benign and malignant masses in dense breast.Methods:The data of 106 patients (130 masses) with dense breast who underwent contrast-enhanced CBBCT examination and obtained pathological results from May 2011 to August 2020 were retrospectively analyzed as the training set. From August 2020, the data of 49 patients (54 masses) who met the same criteria were prospectively and consecutively collected and used as the validation set. Taking pathological results as the gold standard, the training set was divided into benign and malignant groups. The t-test, χ 2 test and Fisher′s exact test were used to compare the differences in CBBCT image characteristics between the two groups in the training set. A binary logistic regression model was established by multivariate analysis. ROC curves were used to assess the diagnostic efficacy of the model as a whole in the training and validation sets and the diagnostic efficacy of each feature in the model, and the cut-off value of the intensity (ΔCT) value was determined. The H-L method was used to test the goodness of fit of the model. Decision curve analysis (DCA) was drawn to validate the clinical power of the model. Results:Univariate analysis showed that the breast parenchymal background enhancement (BPE), shape, margin, lobulation, spiculation, density, calcifications, ΔCT value, enhancement pattern, non-mass enhancement, ipsilateral increased vascularity (IIV), and peripheral vascular signs had statistical difference between benign group and malignant group ( P<0.05). BPE, margin, ΔCT value and IIV were included in the multivariate analysis, the equation was logit( P′)=-8.510+0.830×BPE+0.822×margin+1.919× ΔCT+1.896 × IIV. The are a under curve of the model in the training set was 0.879 ( P<0.001) and in the validation set was 0.851 ( P=0.001). The are a under curve of BPE, margin, ΔCT value, and IIV in the diagnosis of malignant mass were 0.645, 0.711, 0.712, 0.775 (all P<0.05); the best cut-off value of ΔCT was 50.38 HU. The fit of this model was good ( P = 0.776). The DCA curve showed that when the risk threshold was 0.05-0.97, the net benefit rate was>0, and this model had some clinical value. Conclusion:The logistic regression model based on the features of CBBCT is helpful to distinguish benign and malignant masses in dense breasts.

OBJECTIVE To screen the effective anti-depressant part from Coreopsis tinctoria and study its mechanism. METHODS The anti-depressant effects of 30％，50％，70％ and 90％ ethanol elution fractions from 75％ ethanol extract of C. tinctoria（CCTE）were investigated by tail suspension test and forced swimming test. Mice head-drop test ，reserpine antagonistic test，yohimbine toxicity enhancement test and in vitro monoamine oxidase （MAO） inhibition test were used to explore the mechanism of the relationship between the effective parts and 5-hydroxytryptamine （5-HT） and norepinephrine （NE） nerves. RESULTS The 50％ and 70％CCTE could significantly shorten the accumulative immobility time in tail suspension test and forced swimming test （P＜0.05 or P＜0.01），increase the number of head-shaking times （P＜0.01），reverse the eyelid ptosis ， hypothermia and immobility caused by hematopin （P＜0.05 or P＜0.01），and increase the number of dead mice caused by yohimbine toxicity （P＜0.01）. IC 50 of okanin （CCT-6），isookanin（CCT-7）and taxifolin （CCT-8）against MAO were 8.71，37.89 and 67.07 µmol/L，respectively. CONCLUSIONS The 50％ and 70％CCTE are the effective anti-depressant parts of C. tinctoria . Its anti-depressant effect may be related to the reinforcement of 5-HT and the activation of NE nerves. The inhibition of CCT- 6， CCT-7 and CCT- 8 against MAO may be one of the anti-depressant mechanism of C. tinctoria .

Anemia, Aplastic ; drug therapy ; immunology ; Animals ; Antilymphocyte Serum ; immunology ; therapeutic use ; Calcineurin Inhibitors ; immunology ; therapeutic use ; Humans ; Immunoglobulins ; immunology ; therapeutic use ; Lymphocytes ; drug effects ; immunology ; Swine

Objective: To compare the diagnostic efficiency of lesion in dense breast between cone beam breast computer tomography (CBBCT) and mammography. Methods: From May 2012 to August 2014, 160 patients with 165 breasts who underwent mammography and CBBCT examinations were included in this study. The diagnostic results of CBBCT and mammography were reviewed and compared with pathological results. Results: In the 165 breast, 24 were dense breasts and 141 were dense breasts. The diagnostic results were similar in 109 lesions, but different in 56 lesions. According to the analysis of the 165 breasts using receiver operation characteristics (ROC) curve, the area under the ROC curves (AUC) of CBBCT and mammography were 0.923 (95%CI: 0.878-0.967, P<0.05) and 0.959 (95%CI: 0.926-0.992, P<0.05), respectively. With Breast Imaging-Reporting and Data System (BI-RADS) 4b as the critical value, the sensitivity and specificity were 70.0% and 98.7% using mammography, and 83.3% and 97.3% using CBBCT, respectively. The AUC of CBBCT and mammography of the 141 dense breasts was 0.919(95%CI: 0.868-0.969, P<0.05) and 0.973(95%CI: 0.947-0.999, P<0.05), respectively. With BI-RADS 4b as the critical value, the sensitivity and specificity were 69.0% and 98.6% by mammography, and 83.1% and 98.6% by CBBCT, respectively. Conclusions CBBCT showed higher sensitivity and specificity in the diagnosis of breast malignant tumors compared to mammography. It is expected to be applied to breast cancer detection in the future, especially in dense breast.