[The value of machine learning models based on biparametric MRI for diagnosis of prostate cancer and clinically significant prostate cancer].

Objective: To evaluate the value of machine learning (ML) models based on biparametric magnetic resonance imaging (bpMRI) for diagnosis of prostate cancer (PCa) and clinically significant prostate cancer (csPCa). Methods: A total of 1 368 patients, aged from 30 to 92 (69.4±8.2) years, from 3 tertiary medical centers in Jiangsu Province were retrospectively collected from May 2015 to December 2020, including 412 cases of csPCa, 242 cases of clinically insignificant prostate cancer (ciPCa) and 714 cases of benign prostate lesions. The data of center 1 and center 2 were randomly divided into training cohort and internal testing cohort at a ratio of 7∶3 by random number sampling without replacement using Python Random package, and the data of center 3 were used as the independent external testing cohort. The training cohort includs 243 cases of csPCa, 135 cases of ciPCa and 384 cases of benign lesions, the internal testing cohort includs 104 cases of csPCa, 58 cases of ciPCa and 165 cases of benign lesions, and the external testing cohort includs 65 cases of csPCa, 49 cases of ciPCa and 165 cases of benign lesions. The radiomics features were extracted on T2-weighted imaging, diffusion-weighted imaging and apparent diffusion coefficient map, and optimal radiomics features were selected by using Pearson correlation coefficient method and analysis of variance. The ML models were built using two ML algorithms, including support vector machine and random forest (RF) and were further tested in the internal testing cohort and external testing cohort. Finally, the PI-RADS scores evaluated by the radiologists were adjusted by the ML models which had superior diagnostic performance, namely adjusted PI-RADS. The receiver operating characteristic (ROC) curves were used to evaluate the diagnostic performance of the ML models and PI-RADS. DeLong test was used to compare the areas under curve (AUC) of models with those of PI-RADS. Results: For PCa diagnosis, in internal testing cohort, the AUC of ML model using RF algorithm and PI-RADS were 0.869 (95%CI: 0.830-0.908) and 0.874 (95%CI: 0.836-0.913), respectively, and the difference between the model and PI-RADS did not reach to the statistical significance (P=0.793). In the external testing cohort, the AUC of model and PI-RADS were 0.845 (95%CI: 0.794-0.897) and 0.915 (95%CI: 0.880-0.951), respectively, and the difference was statistically significant (P=0.01). For csPCa diagnosis, the AUC of ML model using RF algorithm and PI-RADS were 0.874 (95%CI: 0.834-0.914) and 0.892 (95%CI: 0.857-0.927), respectively, in internal testing cohort, and the difference between the model and PI-RADS was not statistically significant (P=0.341). In the external testing cohort, the AUC of model and PI-RADS were 0.876 (95%CI: 0.831-0.920) and 0.884 (95%CI: 0.841-0.926), respectively, and the difference between the model and PI-RADS was not statistically significant (P=0.704). When PI-RADS assessment was adjusted with the assistance of ML models, the specificities increased from 63.0% to 80.0% in the internal testing cohort and from 92.7% to 93.3% in the external test group in diagnosing PCa. In diagnosing csPCa, the specificities increased from 52.5% to 72.6% in the internal testing cohort and from 75.2% to 79.9% in the external testing cohort. Conclusions: The ML models based on bpMRI showed comparable diagnostic performance to PI-RADS assessed by senior radiologists and achieved good generalization ability in both diagnosing PCa and csPCa. The specificities of the PI-RADS were improved by ML models.

[An exploratory clinical study of the efficacy and safety of tumor-infiltrating lymphocytes in the treatment of metastatic osteosarcoma].

Objective: To explore the safety and efficacy of tumor-infiltrating lymphocytes (TILs) extracted from tumor tissue in patients with pulmonary metastasis of osteosarcoma, the TILs were amplified in vitro to reach clinical dosage and reinfused to the patients combined with high-dose interleukin 2 (IL-2). Methods: Twelve subjects with pathologically diagnosed osteosarcoma were enrolled from December 2019 to June 20, 2021 in Shanghai General Hospital. All subjects progressed with metastasis after standard chemotherapy and failed multiple lines of treatments. Fresh tumor tissue was obtained from the metastatic site and extracted and amplified by Good Manufacturing Practice (GMP) workshop to produce TILs to clinical treatment dosage (109-1011). High-dose IL-2 (100 000-200 000 U/kg) was administered immediately after autogenous TILs infusion to promote the activation, proliferation and antitumor cytolytic activity in vivo. Adverse events (AE) were graded according to Common Terminology Criteria for Adverse Events (CTCAE) standard and tumor response was assessed according to Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. Results: One patient did not receive treatment due to failure in isolating TILs, total of 11 patients received a single re-infusion of autologous TILs. There were 10 males and 1 female with a median age of 19.9 years (12-33 years). Six of these patients received higher dose levels of 1.0×1010 TILs. The 11 patients were followed-up for 1 to 13 months and tolerated well. The most common adverse events reported were fever (10/11), constipation (3/11) and elevated gamma-glutamyl transferase (GGT) (3/11). The high incidence of fever was due to the IL-2 infusion. All patients experienced a transient drop in lymphocyte count and leukopenia leading to non-myeloid ablative lymphocyte clearance. The AE included grade 4 hematologic toxicity, including 8 cases of lymphocytopenia, 2 cases of neutropenia and 1 case of thrombocytopenia. No AE of neurotoxicity occurred. Of all the 11 patients, 9 patients got stable disease (SD) and 2 patients had progressive disease (PD). The disease control rate was 9/11. The median duration of SD was more than 4 months, and the maximum tumor volume decreased by close to 20%. Patient number 9 had sustained SD status for more than 6 months. Conclusions: TILs with in vitro expansion ability could be isolated from tumor tissues of advanced osteosarcoma patients. TILs amplified and reinfused in vitro have anti-osteosarcoma activity.

[Establishment and evaluation of a model for predicting ISUP pathological grade≥2 before radical prostatectomy].

Objective: Based on the 2014 version of the International Association of Urological Pathology (ISUP) pathological classification standards, a prediction model that can predict the pathological classification of ISUP ≥2 in patients with prostate cancer (PCa) before radical prostatectomy (RP) was established and evaluated. Methods: The clinical data of 171 patients who had undergone RP from January 2017 to September 2020 in the Second Affiliated Hospital of Soochow University and obtained postoperative pathological results of all specimens were retrospectively collected. The patients were 46-83 (70±7) years old. For patients with RP ISUP pathologic stage as the gold standard, according to the pathological grading is level 2 or higher is divided into two groups(42 patients with ISUP grade=1 and 129 patients with ISUP grade ≥2). the predictors of ISUP pathology grade ≥2 after RP were screened by logistics regression analysis, predictive models were established and ROC curves were used to evaluate the efficacy of each model in diagnosing RP with pathological grade ≥2, and comparisons were conducted by DeLong test. Results: Compared with patients with ISUP grade=1, patients with ISUP grade≥2 had higher prostate specific antigen (PSA) and prostate specific antigen density (PSAD) (14.21(8.57, 24.98)ng/ml vs 7.98(5.41, 12.54)ng/ml, 0.33(0.20, 0.74)µg.L-1.ml-1 vs 0.16(0.12, 0.24)µg.L-1.ml-1), lower prostate volume (PV) (48.62(34.17,73.99)ml vs 38.94(28.15,54.84)ml)(all P<0.05). Multi-parameter magnetic resonance imaging (mp-MRI) prostate imaging and reporting system (PI-RADS) score, the positive ratio of puncture needles and the pathological grade of puncture ISUP were also significantly different between the two groups (all P<0.05). The combined mp-MRI PI-RADS score (OR=3.337, 95%CI: 1.990-5.593, P<0.001) and puncture ISUP pathological grading (OR=4.041, 95%CI: 1.960-8.334, P<0.001) had the highest diagnostic efficacy for pathological grading ≥2 after RP (AUC=0.916, P<0.05). Conclusion: The combined mp-MRI PI-RADS score and puncture ISUP pathological grading had the highest diagnostic efficacy for pathological grading ≥2 after RP.

[Establishment of a nomogram model for predicting hematoma expansion in intracerebral hemorrhage and its multidimensional evaluation].

Objective: To establish a nomogram model for hematoma expansion (HE) prediction after intracerebral hemorrhage (ICH) and evaluate its performance in a multidimensionally way. Methods: A total of 348 ICH patients who were firstly diagnosed and hospitalized in the Second Affiliated Hospital of Soochow University from January 2017 to December 2019 were collected retrospectively. There were 236 males and 112 females, and their age ranged from 18 to 94 (62.0±14.6) years. All patients were divided into HE group (n=121) or non-HE group (n=227) according to the presence or absence of HE. The clinical and imaging features were compared between the two groups. Multivariate logistic regression analysis was performed for determining the independent predicting factors for HE prediction and a Nomogram model was established by using these factors. Receiver operating characteristic (ROC) curve, calibration curve, and decision curve analysis (DCA) were used to evaluate the prediction effectiveness, accuracy and clinical practicability of the model, respectively. Bootstrap method was used for internal validation. Results: There were significant differences in onset time, swirl sign, history of anticoagulants administrations, systolic blood pressure when admission, Glasgow coma scale (GCS) scores and RBC distribution width between the two groups[(1.77(1.0, 2.5) h vs 2(1, 3) h, 72 cases (59.5%) vs 94 cases (41.4%), 17 cases (14.0%) vs 15 cases (6.6%), (170.69±29.19) mmHg(1 mmHg=0.133 kPa) vs (163.84±26.07) mmHg, 11(8, 14) scores vs 14(10, 15) scores, 44.3% (41.2%, 46.8%) vs 42.4% (40.1%, 45.3%);respectively, all P<0.05]. Multivariate logistic regression analysis demonstrated that onset time (OR=0.809, 95%CI: 0.682-1.961, P=0.015), swirl sign (OR=0.562, 95%CI:0.349-0.905, P=0.018), history of anticoagulants administrations (OR=0.394, 95%CI: 0.180-1.861, P=0.020), and GCS (OR=0.881, 95%CI: 0.815-1.952, P=0.001) were the predicting factors for HE. The area under the curve (AUC) of the Nomogram model was 0.735(95%CI: 0.687-0.805), which demonstrated that the model has an ideal prediction effectiveness. The calibration curve showed that the prediction probability of HE of the model fits well with the actual probability, and with high calibration. DCA showed relatively wide range of optional threshold probability of the model (ranging from 14% to 72%), the clinical practicability of this model was high. The internal validation results showed a C-index of 0.703, indicated a good discrimination power. Conclusion: The established Nomogram model can predict the HE of ICH with good prediction effectiveness, discrimination power and with good clinical practicability, which can be capable of providing an intuitive and visual guidance tool for timely identifying ICH patients who may have HE.

[The diagnostic value of version 2.1 prostate imaging reporting and data system for prostate transitional zone lesions].

Objective: To compare and analyze the diagnostic value of prostate imaging reporting and data system (PI-RADS) version 2.1 and version 2 for prostate transitional zone lesions. Methods: The imaging data of 159 patients with major prostate lesions located in the transitional zone collected by the Department of Radiology of the Second Affiliated Hospital of Suzhou University from January to December 2017 were retrospectively analyzed. Two radiologists used PI-RADS V2.1 and V2 scoring system respectively to perform diagnostic scores on the enrolled cases. The weighted Kappa test was used to evaluate the consistency of PI-RADS V2.1 and V2 scores between the two radiologists. The receiver operating characteristic (ROC) curve was used to evaluate and compare the diagnostic efficiency of two radiologists using two scoring systems for transitional zone prostate cancer (PCa) and clinically significant PCa (csPCa). Results: The weighted Kappa values between the scores of all lesions, benign lesions, PCa lesions, and csPCa lesions by the two radiologists using PI-RADS V2.1 and V2 scoring systems were 0.754, 0.643, 0.734, 0.782 and 0.808, 0.738, 0.775, 0.826, respectively. The PI-RADS V2.1 scoring system had a better consistency. There were no statistically significant differences in sensitivity, specificity, area under the ROC curve (AUC) between the PI-RADS V2.1 and V2 scoring system for PCa and csPCa (all P>0.05). However, in this set of data, the sensitivity and AUC value of PI-RADS V2.1 scoring system in diagnosing PCa and csPCa were higher than those of P-RADS V2. The diagnostic sensitivity of PI-RADS V2.1 and V2 for PCa were 86.7% and 80.0%, the diagnostic sensitivity for csPCa were 94.4% and 88.9%, the diagnostic AUC for PCa were 0.857 and 0.816, and the diagnostic AUC of csPCa were 0.917 and 0.886, respectively. Conclusion: The consistency of PI-RADS V2.1 in scoring prostate transitional zone lesions was better than PI-RADS V2. The diagnostic efficiency of PI-RADS V2.1 for transitional carcinoma was not lower than or slightly higher than PI-RADS V2.

[The value of 3.0T magnetic resonance -diffusion kurtosis imaging in the differential diagnosis of rectal mucinous adenocarcinoma and common adenocarcinoma].

Objective: To investigate the value of 3.0T MRI diffusion kurtosis imaging (DKI) quantitative histogram parameters in the differential diagnosis of rectal mucinous adenocarcinoma (MC) and common adenocarcinoma (AC). Methods: One hundred and ten patients from Department of Radiology, the Second Affiliated Hospital of Soochow University between September 2015 and September 2019 with complete magnetic resonance imaging (MRI) and DKI results confirmed by surgery and pathology were retrospectively analyzed, including 16 patients in MC group and 94 patients in AC group. Two physicians outlined the region of interest (ROI) on the DKI image with b=1 000 s/mm(2), and obtained quantitative DKI parameters, including the diffusion coefficient (D value) and kurtosis coefficient (K value) corrected for non-Gaussian distribution. The apparent diffusion coefficient (ADC) values of quantitative parameters of diffusion-weighted imaging (DWI) were obtained through image registration, and histogram analysis was performed to obtain the mean value, 25th percentile, 50th percentile, 75th percentile, skewness and kurtosis of the above parameters, respectively. The difference between the quantitative histogram parameter analysis results of the rectal MC group and the AC group was evaluated, and the main indicators and multivariate comprehensive analysis indicators was screened, and the effectiveness of quantitative histogram parameters related to histopathological classification in the differential diagnosis of rectal MC and AC was evaluated. Results: There was no significant differences in gender, age, lesion location, T stage or N stage between MC group and AC group (all P>0.05). The multivariate binary logistic stepwise regression screening showed that D50th percentile and K25th percentile are statistically significant indicators (B values were 2 966.166 and -4.550, respectively; Wals values were 9.000 and 15.720, respectively; and P values were 0.003 and <0.001, respectively). The combined area under the curve of the two indictors was 0.85, but there was no statistically significant difference in pairwise comparison using DeLong method (P>0.05). The results of histogram analysis of quantitative parameters measured by the two physicians were consistent, and the inter-group correlation coefficient ranged from 0.880 to 0.981. Conclusions: The quantitative parameter histogram analysis of the DKI double-index model is helpful for the differentiation of rectal MC and AC, in which the D50th percentile and K25th percentile have differential diagnosis significance, and are superior to the ADC value of the single-index model.

[The clinical decision-making value of prostate specific antigen and its derived indicators in prostate imaging reporting and data system version 2 3 lesions].

Objective: To explore the decision-making value of clinical data in prostate imaging reporting and data system version 2 (PI-RADS V2) 3 lesions, and to compare the diagnostic value of related data for prostate cancer (PCa) and clinically PCa(csPCa). Methods: From March 2016 to October 2018,a subset of 121 men with 121 PI-RADS 3 index lesions were retrospectively analyzed. There were 31 PCa lesions and 14 csPCa lesions, aged from 46 to 91 years with a mean age of (71±9) years. The clinical data of the age, prostate specific antigen (PSA), free PSA (fPSA), f/tPSA, PSA density (PSAD) and prostate volume (PV) were compared between PCa group and non-PCa group, csPCa group and non-csPCa group using univariate analysis, respectively.The receiver operating characteristic (ROC) curve was used to evaluate the efficiency of statistically data in detecting PCa and csPCa in men with PI-RADS 3 index lesions. Results: The differences of PSA, f/tPSA and PSAD were all statistically significant (Z=-2.004, -2.527, -2.623, all P<0.05) between PCa group and non-PCa group, and they were all also statistically significant(Z=-2.415, -2.158, -2.870, all P<0.05) between csPCa group and non-csPCa group. Both PSAD had the best diagnostic efficiency, the ROC curve of detecting PCa and csPCa was 0.658 and 0.736, respectively. If used PSAD>0.20 µg·L(-1)·ml(-1) as the biopsy threshold, the sensitivity, specificity, positive predictive value and negative predictive value of csPCa were 78.6%, 58.9%, 20.0%, 95.4%, and 54.5% (66/121) of the enrolled men can avoid biopsy, resulting only 3 cases of csPCa missed. Conclusion: PSA, f/tPSA, PSAD, especially PSAD can improve the detection efficiency of PCa,especially csPCa in PI-RADS 3 lesions, assisting clinical decision-making.

[Diagnostic value of optical imaging combined with indocyanine green-guided sentinel lymph node biopsy in gastric cancer: a meta-analysis].

Objective: To systematically evaluate the diagnostic value of optical imaging combined with indocyanine green (ICG)-guided sentinel lymph node (SLN) biopsy in gastric cancer, and to identify potential factors that would influence diagnostic accuracy. Methods: Study was carried out by searching the electronic database of PubMed, Embase, Medline, Web of Science, and the Cochrane Library with keywords as "gastric/stomach" and "cancer/carcinoma/tumor/tumour/adenocarcinoma/neoplasm" and "sentinel lymph node" and "near-infrared/NIR or fluorescent imaging" and "indocyanine green/ICG" . Literature inclusion criteria: (1) gastric cancer clinical stage was cT0-3; (2) clinical stage determined by at least 2 kinds of imaging modalities; (3) optical imaging (near-infrared or fluorescence imaging) combined with ICG-guided SLN biopsy; (4) prospective study to predict lymph node metastasis; (5) intraoperative or postoperative pathology for all lymph nodes removed; (6) patients number in the literature >10 cases. Exclusion criteria: (1) patients with a history of ICG allergy or chemoradiotherapy; (2) previous history of endoscopic mucosal resection or endoscopic submucosal dissection; (3) patients with a variety of gastrointestinal tumor; (4) case reports, conference abstracts, clinical guidelines, editorials, reviews, meta-analysis and correspondence letters; (5) in vitro or animal experiments; (6) insufficient diagnostic efficacy data. The meta-analysis was performed in the Stata12.0 software using the "bivariate mixed-effects model" combined with the "midas" command to pool the data. Information such as true positive value, false positive value, false negative value, and true negative value of each included articles were extracted. The literature quality assessment map was drawn to describe the overall quality of the articles; the heterogeneity analysis was performed with the forest map, with P<0.01 considered as statistical significance; the funnel plot was used to describe publication bias, with P<0.1 considered as statistically significant. Area under curve (AUC) of summary receiver operator characteristic (SROC) was used to describe the diagnostic accuracy and the AUC closer to 1 indicated higher diagnostic accuracy. If there was heterogeneity (I(2)>50%) among studies, regression analysis and subgroup analysis were performed. P<0.05 was considered as statistically significant. Results: A total of 15 studies (1020 patients) were included. The optical imaging contained near-infrared (NIR) and fluorescent imaging (FI). The diagnostic value of optical imaging combined with ICG-guided SLN biopsy in gastric cancer was as follows: the pooled sensitivity (Sen) was 0.95 (95% CI: 0.82 to 0.99), specificity (Spe) was 1.00 (95% CI: 0.92 to 1.00), positive likelihood ratio (PLR) was 30.39 (95% CI: 9.14 to 101.06), negative likelihood ratio (NLR) was 0.05 (95% CI:0.01 to 0.20), diagnostic odds ratio (DOR) was 225.54 (95% CI: 88.81 to 572.77), AUC was 1.00 (95% CI: 0.99 to 1.00), threshold value was sensitivity=0.95 (95% CI: 0.82 to 0.99) and specificity=1.00 (95% CI: 0.92 to 1.00). Deeks method revealed DOR funnel plot of SLN biopsy was not asymmetrical obviously with significant difference (P=0.01), which indicated remarkable publishing bias. Meta-subgroup analysis showed that compared to FI, NIR imaging had higher sensitivity (0.98 vs. 0.73); compared to 0 minutes, optical imaging performed 20 minutes after ICG injection had higher sensitivity (0.98 vs. 0.70); compared to mean detected number of SLN of 4, mean detected number≥4 had higher sensitivity (0.96 vs. 0.68); compared to HE stain, immunohistochemistry + HE had higher sensitivity (0.99 vs. 0.84); compared to subserous injection of ICG, submucosa injection of ICG had higher sensitivity (0.98 vs. 0.40); compared to injection of 5 g/L ICG, 0.5 g/L and 0.05 g/L had higher sensitivity (0.98 vs. 0.83); compared to cT2-3 tumor, early stage (cT1) tumor had higher sensitivity (0.96 vs. 0.72); compared to ≤ enrolled 26 cases in the study, > 26 cases had higher sensitivity (0.96 vs. 0.65); compared to papers before 2010, papers after 2010 had higher sensitivity (0.97 vs. 0.81); whose differences were all significant. Sensitivity differences between mean tumor diameter of ≤30 cm and >30 cm, open surgery and laparoscopic surgery, lymph node regional dissection and retrieved dissection were not significant (all P>0.05). Conclusions: Optical imaging combined with ICG-guided SLN biopsy is clinically feasible, and especially suitable for early gastric cancer. However, the ICG being used in current studies may be overdosed. Higher sensitivity may be achieved from NIR imaging when compared with FI method.

[Discussion of correlation between histogram analysis of quantitative diffusion weighted imaging and Gleason score of prostate cancer].

Objective: To discuss the correlation between histogram analysis of quantitative mono-exponential, bi-exponential and diffusion kurtosis models in diffusion weighted imaging and the Gleason score of prostate cancer, and evaluate the application value and diagnostic efficiency in identifying low and high grade prostate cancer. Methods: A total of 50 patients with histologically confirmed as prostate cancer were examined from May 2015 to May 2016 in the Second Affiliated Hospital of Soochow University using DWI performed at 3.0 T with an extended b-value range from 0 to 2 000 s/mm(2). Data were post-processed by whole tumor histogram analysis,the ROI was manually drown in DWI (b=1 000 s/mm(2)) step by step along the outline of cancer, and quantitative analysis were performed respectively by mono-exponential, bi-exponential and diffusion kurtosis models for quantification of apparent diffusion coefficients (ADCs), diffusivity D, pseudo-diffusivity D(*), perfusion fraction f, diffusion coefficients by non-Gaussian distribution (D(k)) and kurtosis coefficient (K).Then the histogram analysis was performed to get the mean, median, 25th percentile, 75th percentile, skewness and kurtosis. The correlation between histogram analysis results of these quantitative parameters and Gleason score of prostate cancer were evaluated by Spearman correlation coefficient. The diagnostic performance of histogram analysis results of each quantitative parameters in identifying low (Gleason score≤6) and high (Gleason score>6) grade prostate cancer was performed by comparing the area under the ROC curve and the curve values. Results: The values of ADC, D and D(k) (mean, median, 25th, 75th) were negatively correlated with Gleason score of prostate cancer (r value was -0.388--0.624, P<0.05). The values of D (skewness and kurtosis) had a certain correlation with Gleason score of prostate cancer (r value were 0.413 and 0.402, P<0.05). The histogram analysis results of D(*) and f had no statistically significant correlation with Gleason score of prostate cancer (P>0.05). The values of K (mean, median, 25th, kurtosis) were positively correlated with Gleason score of prostate cancer (r value was 0.423-0.699,P<0.05). The diagnostic efficiency of histogram analysis results of these quantitative parameter values in identifying low and high grade prostate cancer showed that the ADC (median), D (25th), D(k) (mean) and K (25th) had a larger area under the curve, and were 0.844, 0.873, 0.815, and 0.919 respectively, the differences of area under the curve between any two of these parameters above were not statistically significant (all P>0.05). Conclusions: The quantitative parameters of three diffusion models (ADC, D, D(k), K) in DWI are all related to the Gleason score of prostate cancer, but in the differential diagnosis of low and high grade prostate cancer, the diagnostic efficacy of mono-exponential model is sufficient. The more complex model such as bi-exponential and diffusion kurtosis may complement it in other ways.

Adoption of a Urologic Oncology Perioperative Surgical Home is Associated with Decreased Total Length of Stay: A Pilot Study.

INTRODUCTION: Urologists partnered with anesthesiologists to implement a model of perioperative and postoperative care known as the multidisciplinary perioperative surgical home in order to improve the quality and efficiency of care. We describe early outcomes associated with implementation of the perioperative surgical home. METHODS: Retrospective chart review was performed of patients at a single institution undergoing radical prostatectomy, radical cystectomy, partial nephrectomy and radical nephrectomy from January 2014 to March 2016. Outcomes measured were length of stay and 30-day reoperation, readmission, unexpected intensive care unit admission and mortality rates. Statistical analysis was performed using the independent samples Mann-Whitney U test and Fisher exact test with p <0.05 considered significant. Univariate and multivariate analyses were performed to determine whether implementation of the perioperative surgical home was associated with improved outcomes. RESULTS: Length of hospital stay decreased from 4.79 to 3.19 days and 30-day complication rate decreased from 15.3% to 5.7% after implementation of the perioperative surgical home (p <0.01 for both). There was no change in the 30-day readmission rate. On multivariate analysis surgery occurring after perioperative surgical home implementation was associated with decreased length of stay (p = 0.008). The direct cost savings resulting from this length of stay reduction totaled $1,245,585 for the study period. CONCLUSIONS: The adoption of a perioperative surgical home is associated with a significantly decreased postoperative hospital stay and 30-day complication rate for urologic oncology cases.

[Parkinson's disease: diffusion kurtosis imaging and the correlation with clinical manifestations].

Objective: Using magnetic resonance diffusion kurtosis imaging (DKI) to evaluate the microstructure changes of deep brain nucleus in Parkinson's disease (PD) as well as the correlation with clinical manifestations. Methods: Thirty-two PD patients were recruited into this study. Twenty gender and age matched healthy subjects served as the control group. All participants underwent MRI examinations, including T(1)WI, T(2)WI, DWI, susceptibility weighted imaging (SWI) and DKI. The original DKI imaging data were processed offline to calculate two parametric maps, including mean kurtosis (MK) value and fractional anisotropy (FA) value. Two DKI parameters measured from head of substantia nigra were compared between the two groups using t-test or Mann-Whitney U test according to data distribution. The correlations of the two DKI parameters in the substantia nigra of PD patients with the disease duration and clinical scales were tested by Spearmen or Pearson analysis according to data distribution. The receiver operating characteristic (ROC) curve was used to evaluate the diagnostic efficacy of MK value in the substantia nigra for PD. Results: MK value in the substantia nigra of PD group (1.29±0.05) was significant higher than that of the control group (1.26±0.06) (t=2.24, P=0.03). There was no significant difference in FA value between the two groups. Spearmen correlation analysis revealed that there was no significant association of two DKI parameters in substantia nigra of PD patients with the disease duration and clinical scales. Conclusion: MR DKI of deep brain nucleuses can be useful for the diagnosis of PD, but it is not suitable to evaluate the degree of PD clinical symptoms.

[The quantitative evaluation of early radiation-induced changes in the salivary glands using MRI].

Objective: To quantitatively evaluate the early radiation injury of salivary glands in patients with nasopharyngeal carcinoma (NPC) after intensity-modulated radiotherapy (IMRT). Methods: Twenty patients with NPC between 2014 and 2015 from the Second Affiliated Hospital of Soochow University were retrospectively analyzed.All patients underwent an MRI scan before and after IMRT.The volumes, T(1)WI, T(2)WI signal intensity(SIs) and apparent diffusion coefficient (ADCs) of the parotid and submandibular glands were measured.The relative signal intensity (RSIs) of each salivary gland was calculated with cerebrospinal fluid as control.The quantitative parameters of salivary glands were compared before and after radiotherapy. Results: The volumes (cm(3)) and T(1)WI RSIs of the parotid and submandibular glands (14.88±6.00, 5.21±1.76, 2.98±1.05, 1.88±0.42, respectively) were significantly lower than those before radiotherapy (22.26±8.26, 7.76±2.45, 3.58±1.02, 2.27±0.50, respectively) (t=9.921, 4.013, 10.126, 4.202, respectively, P=0.000 for all). The T(2)WI RSIs and ADCs (×10(-3) mm(2)/s) of the parotid and submandibular glands (0.50 ± 0.08, 0.41±0.04, 1.31±0.19, 1.50±0.13, respectively) were significantly higher than those before radiotherapy (0.45±0.07, 0.33±0.05, 1.02±0.21, 1.23±0.13, respectively) (t=-4.846, -9.276, -9.957, -10.679, respectively, P=0.000 for all). The volumes of parotid and submandibular glands were correlated with ADCs (r=-0.512, P=0.000; r=-0.358, P=0.001; respectively). The volumes and ADCs of submandibular glands were correlated with T(1)WI RSIs and T(2)WI RSIs(P<0.05). Conclusion: MRI can quantitatively evaluate the early changes of salivary glands after radiotherapy of nasopharyngeal carcinoma as a noninvasive method, and has high clinical application potential.

[Preliminary applicability evaluation of Prostate Imaging Reporting and Data System version 2 diagnostic score in 3.0T multi-parameters magnetic resonance imaging combined with prostate specific antigen density for prostate cancer].

Objective: To investigate the preliminary applicability of Prostate Imaging Reporting and Data System version 2 (PI-RADS v2) score in the condition of 3.0T multi-parametric magnetic resonance imaging (Mp-MRI) combined with clinical classic indicators for the diagnosis of prostate cancer (PCa). Methods: The clinical and MRI materials of 247 patients of suspicious prostate disease treated in Second Affiliated Hospital of Soochow University from June 2015 to November 2016 were analyzed retrospectively, including 110 cases with PCa and 137 cases without cancer.All cases underwent the high-resolution axial T(2)-weighted imaging (T(2)WI), diffusion weighted imaging (DWI) and dynamic contrast enhancement-magnetic resonance imaging (DCE-MRI) and were confirmed pathologically by puncture biopsies.The Mp-MRI materials of all cases were scored according to PI-RADS v2.The prostate volume and prostate specific antigen (PSA) density (PSAD) value were calculated according to the formulas.The univariate and multivariate analysis were performed for the observed indicators (age, prostate volume, PSA, PSAD and PI-RADS v2 score) to determine the independent predictors for PCa.Then, a Logistic regression model (combined prediction model) was established by the independent predictors for combined diagnosis of PCa.The receiver operating characteristic curve (ROC) curve analysis was performed to get the sensitivity and specificity of each independent predictor and the model to diagnose PCa.The differences of AUC values of each independent predictor and the model were compared with each other to evaluate the diagnostic performance for PCa. Results: The differences in the age, prostate volume, PSA, PSAD and the PI-RADS v2 score between patients with PCa and non-cancer group were all statistically significant (t=2.870, Z=-4.230, -7.787, -9.477, -10.826, all P<0.05). The PSAD and PI-RADS v2 score were independent predictors for PCa (OR=3.331, 10.546, both P<0.05). The Logistic regression combined prediction model by PI-RADS v2 score and PSAD to forecast PCa was Logit(P)=-5.097+ 2.309×PSAD+ 1.214×PI-RADS v2 score.The area under the curve (AUC) of ROC in the combined model (0.911) was higher than that in the PI-RADS v2 score (0.886) and PSAD (0.851) and the differences were all statistically significant (Z=2.416, 2.716, both P<0.05); but the difference in the AUC value between PI-RADS v2 score and PSAD was not statistically significant (Z=1.191, P=0.234). The diagnostic sensitivity of PSAD, PI-RADS v2 score and the model were: 0.891, 0.782 and 0.855, respectively; the specificity were 0.449, 0.912 and 0.847, respectively on their positive thresholds (0.15 µg·L(-1)·ml(-1,) 4 and -0.82). Conclusion: PI-RADS v2 score combined with PSAD in diagnosing PCa is superior to the single application of them and it can lead to high diagnostic sensitivity and specificity for PCa.

[Predictor measures on CT for hematoma expansion following acute intracerebral hemorrhage].

OBJECTIVE: To evaluate the worth of solid predictors in acute intracerebral hematoma(ICH) expansions in computer tomography images. METHODS: A total of 105 patients with acute ICH in The Second Affiliated Hospital of Soochow University during January 2012 to February 2015 were enrolled. CT plain scan, CTA within 6 hours since the symptoms and CT plain scan recheck within 24 hours were executed. Hematoma location, initial volume of hematoma, shape of hematoma, "spot sign" , UHG speed were analyzed with single factor and binary Logistic regression between the patients with and without hematoma expansion. RESULTS: There were 30 cases with hematoma expansion and 75 cases with no hematoma expansion in 105 patients. In single factor comparisons, hematoma location(χ(2) =13.125, P<0.05), hematoma shape(χ(2) =23.987, P<0.05), spot sign(χ(2) =25.846, P<0.05), UHG speed(χ(2) =20.328, P<0.05) and the initial hematoma volume(t=-3.183, P<0.05) between the hematoma expansions and the non-hematoma expansions made significant differences. In binary Logistic regression, hematoma shape(irregular (P=0.033) and cleavage(P=0.009)), spot sign(P=0.000) and UHG speed(P=0.040) had significant differences between the two groups. ROC curve areas of hematoma shape, spot sign and UHG speed were 0.776(95%CI 0.682-0.870), 0.740(95%CI 0.625-0.855) and 0.720(95% CI 0.604-0.836). The high specificities of hematoma shape(84%), spot sign (88%)and UHG speed(84%)revealed their great reliabilities with equal sensitivity (60%). CONCLUSION: Hematoma shape, spot sign and UHG speed are solid predictors of hematoma expansion among which spot sign has promising specificity, hematoma shape and UHG speed are more convenient to be observed.

Oxidative damage in age-related macular degeneration.

Epidemiologic studies have suggested that elderly patients who consumed diets rich in antioxidants throughout their lives are less likely to be afflicted with age-related macular degeneration (AMD). This led to the Age-Related Eye Disease Study, which showed that supplements containing antioxidant vitamins and zinc reduce the risk of progression to severe stages of AMD. Despite these data that indirectly implicate oxidative damage in the pathogenesis of AMD, there has not been any direct demonstration of increased oxidative damage in the retinas of patients with AMD. In this study, we used biomarkers of oxidative damage in postmortem eyes from patients with AMD and comparably aged patients without AMD to directly assess for oxidative damage. Sections from 4 eyes with no pathologic features of AMD showed no immunofluorescent staining for markers of oxidative damage, while sections from 8 of 12 eyes with advanced geographic atrophy showed evidence of widespread oxidative damage in both posterior and anterior retina. Only 2 of 8 eyes with choroidal neovascularization and 2 of 16 eyes with diffuse drusen and no other signs of AMD showed evidence of oxidative damage. These data suggest that widespread oxidative damage occurs in the retina of some patients with AMD and is more likely to be seen in patients with advanced geographic atrophy. This does not rule out oxidative damage as a pathogenic mechanism in patients with CNV, but suggests that a subpopulation of patients with geographic atrophy may have a major deficiency in the oxidative defense system that puts the majority of cells in the retina at risk for oxidative damage.

[Relationship between hepatitis B virus genotypes and basic core promoter/precore mutations in patients with severe hepatitis.].

BACKGROUND: To investigate the relationship between hepatitis B virus genotypes and basic core promoter (BCP)/precore mutations in patients with severe hepatitis. METHODS: HBV genotypes were determined by polymerase chain reaction restriction fragment length polymorphism (PCR-RFLP) in 52 patients with severe hepatitis and 52 cases with chronic hepatitis B (CHB). Eight samples of genotypes B and C were randomly selected and their S gene was directly sequenced, and then their phylogenetic trees were analyzed. Fifteen samples of each of genotypes B and C were randomly selected and their BCP and precore genes were directly sequenced with PCR, and then the relationship between genotypes and BCP(T1762/A1764)/precore (A1896) mutations were analyzed. RESULTS: Genotype B C and mixed genotypes (B and C) were detected in patients with severe hepatitis in Quanzhou area. Genotype B was the majority with a proportion 48.08% others had a proportion 30.77% and 17.31%, respectively. Genotype A, E and F were not detected. The percents of genotype C, mixed B and C in severe hepatitis were significantly higher than that in CHB. The double mutation in BCP (T1762/A1764) was significantly more frequent in severe hepatitis with genotype C than that in genotype B (P less than 0.05). However, there was no significant difference in the distribution of precore mutant with A1896 between genotype B and C patients (P greater than 0.05). CONCLUSION: Genotype C may induce more severe liver inflammation than that genotype B may do. Mixed genotypes B and C infection may be an important determinant of inducing severe hepatitis. The double mutation in BCP (T1762/A1764) was more common in severe hepatitis with genotype C than that with genotype B.

Clinical application of artificial dura mater to avoid cerebrospinal fluid leaks after microvascular decompression surgery.

OBJECTIVE: Although technological advances combined with many surgical innovations have helped to minimize its occurrence, cerebrospinal fluid (CSF) leak still remains to be one of the most common postoperative complications following microvascular decompression (MVD) surgeries. The objectives of this study are 1) to detail our experience with the clinical application of artificial dura mater for the avoidance of CSF leaks in a group of 103 patients who underwent MVD surgeries and 2) to compare the results of CSF leak and deep wound infection between the group with and one without using artificial dura mater. METHODS: From July, 2002 to June, 2004 217 consecutive patients who underwent MVD surgeries for hemifacial spasm or trigeminal neuralgia in our center were enrolled into this study. Among them, 103 patients underwent the application of artificial dura mater (Neuro-patch) in the surgical closure procedure to prevent postoperative CSF leak. The handling techniques were detailed and the postoperative results were evaluated. The follow-up period was at least 6 months. RESULTS: No postoperative CSF leak occurred in the group of patients receiving artificial dura mater whereas 6 cases of CSF leak (2 otorrhea, 2 rhinorrea and 2 CSF wound leak) were found in the group not receiving artificial dura mater. There was no statistical difference of wound infection rates found between these two groups, 1.9 % vs. 2.6 %. CONCLUSIONS: The use of the artificial dura mater in the closure procedure of MVD surgery seems to be a safe and effective way to prevent CSF leaks. However, further investigations on a larger number of cases still need to be done to substantiate its validity.

A 3D structural model of memapsin 2 protease generated from theoretical study.

AIM: To build a 3D structural model of memapsin 2 (M2) protease for theoretical study and drug design. METHODS: Structural alignment was performed based on multiple and pairwise sequence alignment of three templates. After the initial model was generated, energy minimization was completed by applying molecular mechanics method. Molecular dynamics (MD) technique was used to do further structural optimization. RESULTS: The 3D structural model of memapsin 2 was constructed. The model is reasonable according to several validation criteria. The active-site motifs of M2 are structurally supported by a beta-sheet rich domain and linked together with this domain through alpha helices. Tyr132 contained in beta-hairpin is a general characteristic of aspartic protease. The Calpha atom superimposing result is a direct verification that M2 is structurally unique but still belongs to the aspartic protease superfamily. CONCLUSION: The 3D-structure model from our study is informative to guide future molecular biology study about M2 and drug design based on database searching.

Synthesis and anti-HIV activity of oleanolic acid derivatives.

Thirteen oleanolic acid derivatives were prepared and evaluated for anti-HIV activity in H9 lymphocytes. Saturating the C(12)-C(13) double bond and converting the C(17)-carboxyl group to an aminomethyl group led to compounds 13-15 and 19-20, respectively, which showed improved anti-HIV activity. Compound 15 was the most potent derivative with EC(50)=0.0039 microg/mL and TI=3570.