Objective:To study the risk factors of very early recurrence (VER, within 3 months) after R 0 resection of hepatocellular carcinoma (HCC), and to establish a predictive model. Methods:Of 427 HCC patients [with 368 males, 59 females, aged (52.7±12.1) years] who developed early recurrence (within 2 years) after R 0 resection from January to December 2008 at Zhongshan Hospital, Fudan University were enrolled in the test cohort. Another 590 patients [with 525 males, 65 females, aged (54.7±11.0) years] who underwent R 0 resection from January to June 2009 were enrolled in the validation cohort. Risk factors were investigated and a predictive model was established. Results:In the test cohort, 126 patients (29.5%) developed VER and their survival outcomes were extremely poor. Serum α-fetoprotein (AFP) level >827 μg/L, multiple tumors, microvascular invasion (MVI) and tumor number were independent risk factors for VER. A new predictive model (0.809·AFP+ 1.262·tumor number+ 0.983·MVI) was established by logistic regression in predicting VER after surgery. The receiver operating characteristic curve showed that the area under the curve (AUC) in predicting VER was 0.722 (95% CI: 0.669-0.774, P<0.001). In the validation cohort, the AUC of this model was 0.785 (95% CI: 0.715-0.855, P<0.001). Conclusions:A high AFP level, multiple tumors, and MVI were independent risk factors for VER of HCC after R 0 resection. The prediction model consisting of these three factors demonstrated robustness and it has the potential in clinical application.

Objective:To investigate the correlation between lumbar bone mineral density (BMD), musculoskeletal perfusion andmuscle mass.Methods:From May 2019 to August 2020, totally 91 patients who applied for CT perfusion (CTP) examination of abdomen (the scan range included the vertebral body of L1－L3) in Shanghai Tenth People′s Hospital of Tongji University were retrospectively analyzed. The mean BMD of L1－L3 vertebral body was measured by quantitative CT (QCT) at the same time of CT plain scan. According to BMD, the subjects were divided into normal BMD group ( n=33), osteopenia group ( n=41) and osteoporosis (OP) group ( n=17). The L3 level perivertebral muscle mass index and fat fraction were calculated based on QCT examination. The lumbar vertebral and perivertebral muscle perfusion parameters were measured based on CTP images. The parameters of QCT and CTP among three groups were analyzed by Kruskal-Wallis H test or one-way ANOVA. The correlation analysis was conducted between these parameters using Pearson or Spearman analysis. Results:The differences of the perivertebral muscle mass index and fat fraction among three groups were statistically significant ( P<0.05). The differences of the lumbar vertebral perfusion parameters including blood flow (BF), blood volume (BV) and flow extraction product (FE) among three groups were statistically significant ( P<0.05), and BF, BV and FE were positively correlated with BMD ( r=0.444, 0.312 and 0.266 respectively, all P<0.05; adjusted for age and gender r=0.437, 0.340 and 0.337 respectively, all P<0.05). There was no statistically significant difference in perivertebral muscle perfusion parameters among three groups ( P>0.05). Perivertebral muscle mass index was negatively correlated with fat fraction ( r=-0.599, P<0.001; adjusted for age and gender r=-0.404, P<0.001), and there was no correlation between perivertebral muscle mass index and muscle perfusion parameters, as well as perivertebral muscle fat fraction and muscle perfusion parameters. Conclusions:With the changes of BMD, bone mass and perivertebral muscle mass at L3 level are synchronous. Decreased vertebral bone mass is accompanied with reduced perivertebral muscle mass, increased muscle fat and decreased bone perfusion. The changes of vertebral perfusion and perivertebral muscle perfusion at L3 level are asynchronous, which implies that reduced perfusion in OP patients may be confined to the bone.

Objective:To explore the value of pre-treatment contrast-enhanced computed tomography (CT)-based texture analysis in predicting response to non-small cell lung cancer (NSCLC) immunotherapy.Methods:From January to July 2018, a total of 51 lesions from 42 patients with advanced non-small cell lung cancer receiving immunotherapy at Shanghai Chest Hospital were selected in this retrospective study. Pre-treatment contrast-enhanced CT-based texture features were extracted by MaZda software. Ten optimal texture features were chosen based on three different methods: Fisher coefficient, mutual information measure (MI) and minimization of classification error probability combined average correlation coefficients(POE+ ACC), respectively. According to the efficacy of the first immunotherapy, 51 lesions were divided into non-progressive disease (non-PD, n=26) and progressive disease (PD, n=25). The differences were tested in each texture feature set between the two groups. The immunotherapy effects of target lesions were analyzed by principal component analysis(PCA), linear discriminant analysis (LDA) and nonlinear discriminant analysis (NDA). The sensitivity, specificity, accuracy, positive-predictive value (PPV) and negative-predictive value (NPV) were calculated. The area under the curve (AUC) was used to quantify the predictive accuracy of the three analysis models for each texture feature set and compare them with the actual classification results. Results:In all of three texture feature sets, the texture parameter differences of Perc.50%, Perc.90%, "S(5, 5)SumEntrp" and "S(4, 4)SumEntrp" were higher in PD group than those in non-PD group (all P<0.05). The classification result of texture feature set chosen by POE+ ACC and analyzed by NDA was identified as the best model (AUC=0.802, 95% CI: 0.674-0.930), and its sensitivity, specificity, accuracy, PPV and NPV were 72%, 88.5%, 80.4%, 85.7%, 76.7%, respectively. Conclusion:Pre-treatment contrast-enhanced CT-based texture characteristics of NSCLC may function as non-invasive biomarkers for the evaluation of response to immunotherapy.

Objective:To examine the effect of adjuvant radiotherapy on postoperative complications of immediate deep inferior epigastric artery perforator (DIEP) flap breast reconstruction.Methods:Data was collected from 185 patients underwent immediate DIEP reconstruction during November 2006 to March 2020 Department of Breast Surgery, Fudan University Shanghai Cancer Center. All the patients were female, aging (43.0±7.8) years (range: 29 to 61 years). The series included with a total of 187 flaps (2 bilateral, 183 unilateral). Included patients were divided into 2 groups: immediate DIEP reconstruction requring or not requring post-mastectomy radiation therapy (71 cases (71 flaps) in PMRT group, 114 cases (116 flaps) in control group). The aesthetic outcome were measured by Kroll score system and compared between the groups by t test. The complications included partial flap loss, minor necrosis were analyzed between the groups by χ 2 test, while the influence of the other correlation factors on complication occurrence was analyzed by Logistic analysis. Results:The controll groups showed better aesthetic results (2.21±0.55 vs. 2.47±0.82, t=-2.593, P=0.010). Complication rate in PMRT group was higher than that in control group (19.7% (15/71) vs. 4.2% (4/116), χ2=15.079, P<0.01). The complication rate was not correlated with age, body mass index, perforator number, neoadjuvant chemotherapy and adjuvant chemotherapy. Conclusions:Correlation was observed between adjuvant radiotherapy and post-operative complication of the DIEP flap. However, the complication occurrence and aesthetic results remain in the acceptable range. The other factors such as age, body mass index, perforator number, neoadjuvant chemotherapy and adjuvant chemotherapy should not be considered as prognosis factor of post-operative complication of the DIEP flap.

Objective:To examine the effect of adjuvant radiotherapy on postoperative complications of immediate deep inferior epigastric artery perforator (DIEP) flap breast reconstruction.Methods:Data was collected from 185 patients underwent immediate DIEP reconstruction during November 2006 to March 2020 Department of Breast Surgery, Fudan University Shanghai Cancer Center. All the patients were female, aging (43.0±7.8) years (range: 29 to 61 years). The series included with a total of 187 flaps (2 bilateral, 183 unilateral). Included patients were divided into 2 groups: immediate DIEP reconstruction requring or not requring post-mastectomy radiation therapy (71 cases (71 flaps) in PMRT group, 114 cases (116 flaps) in control group). The aesthetic outcome were measured by Kroll score system and compared between the groups by t test. The complications included partial flap loss, minor necrosis were analyzed between the groups by χ 2 test, while the influence of the other correlation factors on complication occurrence was analyzed by Logistic analysis. Results:The controll groups showed better aesthetic results (2.21±0.55 vs. 2.47±0.82, t=-2.593, P=0.010). Complication rate in PMRT group was higher than that in control group (19.7% (15/71) vs. 4.2% (4/116), χ2=15.079, P<0.01). The complication rate was not correlated with age, body mass index, perforator number, neoadjuvant chemotherapy and adjuvant chemotherapy. Conclusions:Correlation was observed between adjuvant radiotherapy and post-operative complication of the DIEP flap. However, the complication occurrence and aesthetic results remain in the acceptable range. The other factors such as age, body mass index, perforator number, neoadjuvant chemotherapy and adjuvant chemotherapy should not be considered as prognosis factor of post-operative complication of the DIEP flap.

Objective:To explore the value of pre-treatment contrast-enhanced computed tomography (CT)-based texture analysis in predicting response to non-small cell lung cancer (NSCLC) immunotherapy.Methods:From January to July 2018, a total of 51 lesions from 42 patients with advanced non-small cell lung cancer receiving immunotherapy at Shanghai Chest Hospital were selected in this retrospective study. Pre-treatment contrast-enhanced CT-based texture features were extracted by MaZda software. Ten optimal texture features were chosen based on three different methods: Fisher coefficient, mutual information measure (MI) and minimization of classification error probability combined average correlation coefficients(POE+ ACC), respectively. According to the efficacy of the first immunotherapy, 51 lesions were divided into non-progressive disease (non-PD, n=26) and progressive disease (PD, n=25). The differences were tested in each texture feature set between the two groups. The immunotherapy effects of target lesions were analyzed by principal component analysis(PCA), linear discriminant analysis (LDA) and nonlinear discriminant analysis (NDA). The sensitivity, specificity, accuracy, positive-predictive value (PPV) and negative-predictive value (NPV) were calculated. The area under the curve (AUC) was used to quantify the predictive accuracy of the three analysis models for each texture feature set and compare them with the actual classification results. Results:In all of three texture feature sets, the texture parameter differences of Perc.50%, Perc.90%, "S(5, 5)SumEntrp" and "S(4, 4)SumEntrp" were higher in PD group than those in non-PD group (all P<0.05). The classification result of texture feature set chosen by POE+ ACC and analyzed by NDA was identified as the best model (AUC=0.802, 95% CI: 0.674-0.930), and its sensitivity, specificity, accuracy, PPV and NPV were 72%, 88.5%, 80.4%, 85.7%, 76.7%, respectively. Conclusion:Pre-treatment contrast-enhanced CT-based texture characteristics of NSCLC may function as non-invasive biomarkers for the evaluation of response to immunotherapy.

Objective:To investigate the changes of plasma high density lipoprotein cholesterol (HDL-C) and metabolic indicators in obese patients after laparoscopic sleeve gastrectomy (LSG).Methods:The retrospective cohort study was conducted. The clinical data of 69 obese patients who were admitted to the Tenth People′s Hospital of Tongji University from August 2013 to March 2017 were collected. There were 32 males and 37 females, aged (33±12)years, with a range from 18 to 65 years. Of 69 patients, 44 patients with preoperative HDL-C concentration <1.04 mmoL/L were allocated as low HDL-C group, and 25 patients with preoperative HDL-C concentration ≥1.04 mmoL/L were allocated as normal HDL-C group. Sixty-nine patients underwent LSG. Observation indicators: (1) analysis between preoperative HDL-C and clinical indicators; (2) follow-up; (3) stratified analysis of plasma HDL-C. Follow-up was conducted using outpatient examination and hospitalization review to detect changes of plasma HDL-C, insulin resistance index, uric acid, free fatty acids and body mass every 3 months after operation up to September 2017. Measurement data with normal distribution were represented as Mean± SD, and comparison between groups was analyzed using the t test. Measurement data with skewed distribution were represented as M ( P25, P75), and comparison between groups was analyzed using the Mann-Whitney U test. Count data were expressed as absolute numbers or percentages, and comparison between groups was analyzed using the chi-square test. Pearson correlation coefficient was used to analyze measurement data with normal distribution, and Spearman correlation was used to analyze measurement data with skewed distribution. Repeated measurement data were analyzed by ANOVA. Results:(1) Analysis between preoperative HDL-C and clinical indicators: results of correlation analysis showed that the preoperative plasma HDL-C concentration was negative correlated with the body mass, height, abdominal circumference, insulin resistance index and triglyceride in 69 patients ( r=-0.246, -0.307, -0.262, -0.253, -0.301, P<0.05), and the preoperative plasma HDL-C concentration was not correlated with the age, body mass index (BMI), fasting blood glucose, glycosylated hemoglobin, alanine aminotransferase, aspartate aminotransferase, gamma glutamyltransferase, uric acid, creatinine, free fatty acid, fasting serum insulin, total cholesterol and low density lipoprotein cholesterol ( P>0.05). The preoperative plasma HDL-C concentration was still negative correlated with the body mass in 69 patients after adjusting for age, BMI, fasting blood glucose, glycosylated hemoglobin, fasting serum insulin and insulin resistance index ( r=-0.277, P<0.05). (2) Follow-up: 69 patients were followed up postoperatively for 6 months (6 months, 12 months). The plasma HDL-C concentration, insulin resistance index, uric acid, free fatty acids, body mass of low HDL-C group at postoperative 3 and 6 months were (0.96±0.18)mmol/L, 2.20(0.51, 11.66), (411±93)μmol/L, 0.57 mmol/L (0.20 mmol/L, 1.00 mmol/L), (92±18)kg and (1.11±0.18)mmol/L, 2.19(0.71, 8.75), (389±100)μmol/L, 0.40 mmol/L(0.13 mmol/L, 1.10 mmol/L), (86±17)kg, respectively. The above indicators of normal HDL-C group at postoperative 3 and 6 months were (1.17±0.24)mmol/L, 2.22(0.24, 7.04), (379±105)μmol/L, 0.60 mmol/L(0.27 mmol/L, 1.10 mmol/L), (84±16)kg and (1.34±0.20)mmol/L, 1.60(0.36, 5.56), (359±92)μmol/L, 0.42 mmol/L (0.16 mmol/L, 2.90 mmol/L), (80±18)kg, respectively. There was significant difference in the changes of postoperative plasma HDL-C concentration between the two groups ( F=41.443, P<0.05), and there was interaction between groups and time points ( F=6.252, P<0.05). There was significant difference between different time points ( F=29.900, P<0.05). There was significant difference in the changes of postoperative insulin resistance index between the two groups ( F=4.313, P<0.05), and there was no interaction between groups and time points ( F=2.298, P>0.05). There was significant difference between different time points ( F=29.800, P<0.05). There was no significant difference in the changes of postoperative uric acid between the two groups ( F=1.669, P>0.05), and there was no interaction between groups and time points ( F=0.111, P>0.05). There was significant difference between different time points ( F=12.796, P<0.05). There was significant difference in the changes of postoperative free fatty acids between the two groups ( F=5.465, P<0.05), and there was no interaction between groups and time points ( F=0.504, P>0.05). There was no significant difference between different time points ( F=1.405, P>0.05). There was significant difference in the changes of postoperative body mass between the two groups ( F=5.614, P<0.05), and there was no interaction between groupsand time points ( F=2.174, P>0.05). There was significant difference between different time points ( F=497.496, P<0.05). (3) Stratified analysis of plasma HDL-C. ① Changes of postoperative plasma HDL-C in obese patients of different genders: of 69 patients, the plasma HDL-C concentration of the 32 male patients before operation and at postoperative 3 and 6 months were (0.91±0.19)mmol/L, (1.02±0.24)mmol/L, (1.18±0.23)mmol/L, respectively, and the percentage increase of plasma HDL-C concentration at postoperative 3 and 6 months were 12.00%(4.00%, 12.00%)and 20.00%(12.00%, 39.25%), respectively. The above indicators of the 37 female patients were (1.05±0.21)mmol/L, (1.06±0.22)mmol/L, (1.22±0.22)mmol/L and 0(-9.50%, 8.25%), 12.00%(2.00%, 23.00%), respectively. There was significant difference in the changes of percentage increase of plasma HDL-C concentration between the male and female patients ( F= 6.716, P<0.05), and there was interaction between groups and time points ( F=3.861, P<0.05). There was significant difference between different time points ( F=37.374, P<0.05). ② Changes of postoperative plasma HDL-C in obese patients of different genders in low HDL-C group and normal HDL-C group: of 44 patients in low HDL-C group, the plasma HDL-C concentration of the 24 male patients before operation and at postoperative 3 and 6 months were (0.82±0.12)mmol/L, (0.99±0.21)mmol/L, (1.12±0.22)mmol/L, respectively, and the percentage increase of plasma HDL-C concentration at postoperative 3 and 6 months were 16.00%(-1.75%, 28.75%) and 27.50%(15.75%, 43.50%), respectively. The above indicators of the 20 female patients in low HDL-C group were (0.89±0.08)mmol/L, (0.93±0.14)mmol/L, (1.10±0.14)mmol/L and 1.50%(-8.25%, 16.50%), 18.00%(9.00%, 23.00%), respectively. There was significant difference in the changes of percentage increase of plasma HDL-C concentration between the male and female patients ( F=4.503, P<0.05), and there was interaction between groups and time points ( F=3.594, P<0.05). There was significant difference between different time points ( F=37.096, P<0.05). Of 25 patients in normal HDL-C group, the plasma HDL-C concentration of the 8 male patients before operation and at postoperative 3 and 6 months were (1.15±0.12)mmol/L, (1.12±0.32)mmol/L, (1.32±0.21)mmol/L, respectively, and the percentage increase of plasma HDL-C concentration at postoperative 3 and 6 months were -1.00%(-14.00%, 12.00%), 13.50%(6.75%, 32.50%), respectively. The above indicators of the 17 female patients in normal HDL-C group were (1.23±0.16)mmol/L, (1.20±0.20)mmol/L, (1.36±0.20)mmol/L and 0(-13.75%, 4.25%), 5.50%(0, 28.50%), respectively. There was no significant difference in the changes of percentage increase of plasma HDL-C concentration between the male and female patients ( F=0.209, P>0.05), and there was no interaction between groups and time points ( F=0.176, P>0.05). There was significant difference between different time points ( F=6.481, P<0.05). Conclusions:For patients with low or normal plasma HDL-C concentration preoperative, there are significant differences in the changes of HDL-C, insulin resistance index, free fatty acids and body mass after LSG. There is significant difference in the changes of postoperative percentage increase of plasma HDL-C concentration between male and female patients who with low plasma HDL-C concentration preoperative.

Objective:To investigate the value of pericoronary adipose tissue histogram parameters based on coronary CT angiography (CTA) images for the differentiation of acute coronary syndrome and stable coronary artery disease.Methods:The clinical data and CTA images of 93 patients with coronary CTA examination in Suzhou Kowloon Hospital from 2013 to 2018 were analyzed retrospectively. There were 39 patients with acute coronary syndrome (acute coronary syndrome group) and 54 patients with stable coronary artery disease (stable coronary artery disease group). A region of interest (ROI) was drawn around the stenosis of the coronary arteries, with CT attenuation ranging from-190 to -30 HU to exclude non-adipose tissue. The CT attenuation of ROI excluding non-adipose were measured and histogram analysis was performed. The obtained parameters included the mean value, median value and the 5th, 10th, 45th, 55th, 70th and 95th percentiles. The differences in histogram parameters between the two groups were compared, and then the value of each parameter in differentiating acute coronary syndrome and stable coronary artery disease was evaluated based on receiver operating characteristic (ROC) analysis. The stepwise regression of multivariate logistic regression analysis was used to identify the useful features and establish the final prediction model. The ROC curve of the final model was calculated and its value was analyzed.Results:The mean, median and the 5th, 10th, 45th, 55th,70th and 95th percentile differences between the acute coronary syndrome group and the stable coronary artery disease group were statistically significant (all P<0.05). The ROC curve for the median and the 95th percentile had the same area under curve (AUC) of 0.73. The sensitivity, specificity and AUC of the diagnostic model established by multiple logistic regression were 82.1%, 89.1% and 0.90 respectively. Conclusion:CT attenuation histogram of pericoronary adipose tissue is of high value in differentiating acute coronary syndrome from stable coronary artery disease.

Objective: To evaluate the safety and efficacy of foam sclerotherapy for bleeding internal hemorrhoids. Methods: Consecutive adult patients (aged 18-60 years) with bleeding hemorrhoids were prospectively enrolled between March 2017 and March 2018. All patients were randomly assigned to the foam sclerotherapy (FS) group and the liquid sclerotherapy (LS) group. The foam and liquid sclerotherapy of hemorrhoids nucleus was performed by cap-assisted colonic endoscopy. Results: A total of 108 patients were enrolled, including 62 males (57.4%) with mean age of 44.0±7.6 years. There was no significant difference in gender, age, or body mass index between the FS (n = 55) group and the LS (n =53) group. The total amount of lauromacrogol injection in the FS group was 3.7±0.9 mL, which was significantly lower than that in the LS group (8.0±2.2 mL, P<0.001). In the LS group, 8 patients (15.1%) developed bleeding after needle removal, which was significantly higher than that in the FS group [5.5%(3/53), P=0.022]. Significant pain was found in 2 patients (3.8%) in the LS group and 0 in the FS group (P= 0.025). The short-term cure rate and effective rate of the FS group were 87.3% (48/55) and 9.1% (5/55), while those were 69.8% (37/53) and 22.6% (12/53) in the LS group, respectively (P=0.046). Conclusion Foam sclerotherapy is safe and effective in the treatment of bleeding internal hemorrhoids.

Background and purpose: Many factors have impacts on the surgery approach of breast cancer. The purpose of this study was to analyze the influence factors of breast reconstruction for patients with breast cancer, focusing on the relationship between travel distance and breast reconstruction. Methods: Retrospective review of all female breast cancer patients staging 0-Ⅱ who underwent unilateral or bilateral mastectomy with or without breast reconstruction at Fudan University Shanghai Cancer Center from 1999 to 2015 was conducted in the study. Analysis of travel distance and breast reconstruction rate was performed. Results: Non-Shanghai patients have higher breast reconstruction rate after mastectomy compared with Shanghai patients (6.1％ vs 4.5％, P＜0.001). Travel distance may have an influence on the breast reconstruction rate (P=0.035). Univariate regression analysis showed that the increase of travel distance was the predictor of breast reconstruction, and that the increase of age or body mass index (BMI), or the later TNM stage had a negative correlation with breast reconstruction (P＜0.001). Multiple regression analysis demonstrated that the increase of age or BMI, or the later TNM stage was the independent predictor of the refusal of breast reconstruction (P＜0.001), but travel distance was not (P＞0.05). No significant correlation between the travel distance and breast reconstruction types was indicated. Negative correlation was observed between age and travel distance (P＜0.001). Conclusion: Age, BMI and tumor stage are the main influence factors of breast reconstruction, while travel distance shows a linear correlation with it.