Recent advances in sonodynamic therapy strategies for pancreatic cancer.

Pancreatic cancer, a prevalent malignancy of the digestive system, has a poor 5-year survival rate of around 10%. Although numerous minimally invasive alternative treatments, including photothermal therapy and photodynamic therapy, have shown effectiveness compared with traditional surgical procedures, radiotherapy, and chemotherapy. However, the application of these alternative treatments is constrained by their depth of penetration, making it challenging to treat pancreatic cancer situated deep within the tissue. Sonodynamic therapy (SDT) has emerged as a promising minimally invasive therapy method that is particularly potent against deep-seated tumors such as pancreatic cancer. However, the unique characteristics of pancreatic cancer, including a dense surrounding matrix, high reductivity, and a hypoxic tumor microenvironment, impede the efficient application of SDT. Thus, to guide the evolution of SDT for pancreatic cancer therapy, this review addresses these challenges, examines current strategies for effective SDT enhancement for pancreatic cancer, and investigates potential future advances to boost clinical applicability. This article is categorized under: Therapeutic Approaches and Drug Discovery > Nanomedicine for Oncologic Disease.

Role of Charlson comorbidity index in predicting the ICU admission in patients with thoracic aortic aneurysm undergoing surgery.

OBJECTIVES: This study aimed to explore the value of the Charlson comorbidity index (CCI) in predicting ICU admission in patients with aortic aneurysm (AA). METHODS: The clinical data of patients were obtained from the Medical Information Mart for Intensive Care-IV database. The association between CCI and ICU admission was explored by restricted cubic spline (RCS), threshold effect analysis, generalized linear model, logistic regression, interaction, and mediation analyses. Its clinical value was evaluated by decision curve analysis (DCA), receiver operating characteristic curve (ROC), DeLong's test, and net reclassification index (NRI) analyses. RESULTS: The ICU admission was significantly associated with the thoracic AA (TAA), unruptured status, and surgery status. Therefore, 288 candidate patients with unruptured TAA who received surgery were enrolled in the further analysis. We found that CCI was independently associated with the ICU admission of candidates (P = 0.005). Further, their nonlinear relationship was observed (adjusted P = 0.008), and a significant turning point of 6 was identified. The CCI had a favorable performance in predicting ICU admission (area under curve = 0.728) and achieved a better clinical net benefit. New models based on CCI significantly improved the accuracy of prediction. Besides the importance of CCI in ICU admission, CCI also exerted important interaction effect (rather than mediating effects) on the association of other variables (such as age and blood variables) with ICU admission requirements (all P < 0.05). CONCLUSIONS: The CCI is an important predictor of ICU admission after surgery in patients with unruptured TAA.

Development and external validation of a prediction model for brain metastases in patients with metastatic breast cancer.

BACKGROUND: Breast cancer patients with brain metastasis (BM) have a poor prognosis. This study aims to identify the risk factors of BM in patients with metastatic breast cancer (MBC) and establish a competing risk model for predicting the risk of brain metastases at different time points along the course of disease. METHODS: Patients with MBC admitted to the breast disease center of Peking University First Hospital from 2008 to 2019 were selected and retrospectively analyzed to establish a risk prediction model for brain metastases. Patients with MBC admitted to eight breast disease centers from 2015 to 2017 were selected for external validation of the competing risk model. The competing risk approach was used to estimate cumulative incidence. Univariate Fine-Gray competing risk regression, optimal subset regression, and LASSO Cox regression were used to screen potential predictors of brain metastases. Based on the results, a competing risk model for predicting brain metastases was established. The discrimination of the model was evaluated using AUC, Brier score, and C-index. The calibration was evaluated by the calibration curves. The model was assessed for clinical utility by decision curve analysis (DCA), as well as by comparing the cumulative incidence of brain metastases between groups with different predicted risks. RESULTS: From 2008 to 2019, a total of 327 patients with MBC in the breast disease center of Peking University First Hospital were admitted into the training set for this study. Among them, 74 (22.6%) patients developed brain metastases. From 2015 to 2017, a total of 160 patients with MBC in eight breast disease centers were admitted into the validation set for this study. Among them, 26 (16.3%) patients developed brain metastases. BMI, age, histological type, breast cancer subtype, and extracranial metastasis pattern were included in the final competing risk model for BM. The C-index of the prediction model in the validation set was 0.695, and the AUCs for predicting the risk of brain metastases within 1, 3, and 5 years were 0.674, 0.670, and 0.729, respectively. Time-dependent DCA curves demonstrated a net benefit of the prediction model with thresholds of 9-26% and 13-40% when predicting the risk of brain metastases at 1 and 3 years, respectively. Significant differences were observed in the cumulative incidence of brain metastases between groups with different predicted risks (P < 0.05 by Gray's test). CONCLUSIONS: In this study, a competing risk model for BM was innovatively established, with the multicenter data being used as an independent external validation set to confirm the predictive efficiency and universality of the model. The C-index, calibration curves, and DCA of the prediction model indicated good discrimination, calibration, and clinical utility, respectively. Considering the high risk of death in patients with metastatic breast cancer, the competing risk model of this study is more accurate in predicting the risk of brain metastases compared with the traditional Logistic and Cox regression models.

Assessment of delivered dose in prostate cancer patients treated with ultra-hypofractionated radiotherapy on 1.5-Tesla MR-Linac.

Objective: To quantitatively characterize the dosimetric effects of long on-couch time in prostate cancer patients treated with adaptive ultra-hypofractionated radiotherapy (UHF-RT) on 1.5-Tesla magnetic resonance (MR)-linac. Materials and methods: Seventeen patients consecutively treated with UHF-RT on a 1.5-T MR-linac were recruited. A 36.25 Gy dose in five fractions was delivered every other day with a boost of 40 Gy to the whole prostate. We collected data for the following stages: pre-MR, position verification-MR (PV-MR) in the Adapt-To-Shape (ATS) workflow, and 3D-MR during the beam-on phase (Bn-MR) and at the end of RT (post-MR). The target and organ-at-risk contours in the PV-MR, Bn-MR, and post-MR stages were projected from the pre-MR data by deformable image registration and manually adapted by the physician, followed by dose recalculation for the ATS plan. Results: Overall, 290 MR scans were collected (85 pre-MR, 85 PV-MR, 49 Bn-MR and 71 post-MR scans). With a median on-couch time of 49 minutes, the mean planning target volume (PTV)-V95% of all scans was 97.83 ± 0.13%. The corresponding mean clinical target volume (CTV)-V100% was 99.93 ± 0.30%, 99.32 ± 1.20%, 98.59 ± 1.84%, and 98.69 ± 1.85%. With excellent prostate-V100% dose coverage, the main reason for lower CTV-V100% was slight underdosing of seminal vesicles (SVs). The median V29 Gy change in the rectal wall was -1% (-20%-17%). The V29 Gy of the rectal wall increased by >15% was observed in one scan. A slight increase in the high dose of bladder wall was noted due to gradual bladder growth during the workflow. Conclusions: This 3D-MR-based dosimetry analysis demonstrated clinically acceptable estimated dose coverage of target volumes during the beam-on period with adaptive ATS workflow on 1.5-T MR-linac, albeit with a relatively long on-couch time. The 3-mm CTV-PTV margin was adequate for prostate irradiation but occasionally insufficient for SVs. More attention should be paid to restricting high-dose RT to the rectal wall when optimizing the ATS plan.

Spine-Related Malpractice Claims in China: A 2-year National Analysis.

STUDY DESIGN: Retrospective cross-sectional study. OBJECTIVE: To investigate the prevalence, characteristics, and risk factors of spine-related malpractice claims in China in a 2-year period. METHODS: The arbitration files of the Chinese Medical Association (CMA) were reviewed for spine-related malpractice claims. Descriptive statistics and correlation analysis were conducted on claim characteristics, clinical data, plaintiff's main allegations, and arbitration outcomes. RESULTS: A total of 288 cases of spinal claims filed in the CMA between January 2016 and December 2017 were included. Most claims were found in lumbar degenerative disorders (59.4%), lumbar trauma (13.2%), and cervical degenerative disorders (11.8%). The most common adverse events (AEs) leading to claims were new neurologic deficit (NND) (47.6%), infection (11.5%), and insufficient symptom relief (10.4%). The most common patient allegation was surgical error (66.0%), although the main arbitrated cause of AEs was disease/treatment itself (49.0%), while providers were judged as mainly responsible in only 47.3% cases. In multivariate regression analysis, cervical spine, misdiagnosis/mistreatment, and unpredictable emergency correlated with more severe damage to patients; minimally invasive surgery was predictive of judgment in plaintiff's favor, while claims in the eastern region and unpredictable emergencies were predictive of defendant's favor; only NND was associated with being arbitrated as surgical error in surgical cases where surgeons accepted major liability. CONCLUSION: The current study provided a descriptive overview and risk factor analysis of spine-related malpractice claims in China. Gaining improved understanding of the facts and causes of malpractice claims may help providers reduce the risk of claims and subsequent litigation.

Evaluation of effects of 3% diquafosol ophthalmic solution on preocular tear film stability after trabeculectomy.

OBJECTIVES: To determine the potential effects of 3% diquafosol (DQS) on tear film stability after glaucoma surgery. METHODS: We retrospectively reviewed consecutive patients who underwent glaucoma surgery at the glaucoma division of the Henan Eye Institute from January 2020 to January 2021. Clinical parameters, including age, sex, intraocular pressure, and number of glaucoma medications, were tested. Tear film parameters, such as tear meniscus height (TMH), first and average noninvasive tear break-up time (FBUT and ABUT, respectively), and tear film lipid layer grade (TFLL), were evaluated using the Oculus Keratograph 5M. We investigated the differences in clinical and tear film parameters pre- and postoperatively. We compared the baseline and different time points after surgery between the DQS and HA groups and identified the factors associated with changes in the tear film at 8 weeks postoperatively. RESULTS: A total of 101 eyes were included. Early administration of DQS increased TMH, FBUT, ABUT, and TFLL after trabeculectomy (all p < 0.05). In addition, the DQS group showed significantly higher ABUT than the HA group (p < 0.05). DQS use served as an associated parameter for better TMH, FBUT, ABUT, and the TFLL (p < 0.05). DQS and preoperative FBUT were significant independent parameters of postoperative FBUT (p < 0.05). CONCLUSIONS: The present study showed that postoperative TMH, FBUT, ABUT, and TFLL significantly increased after early application of DQS, and the efficacy of ABUT was better than that of HA at the early stage in 8 weeks after trabeculectomy (p < 0.05).

The potential biological effects of quercetin based on pharmacokinetics and multi-targeted mechanism in vivo.

Quercetin is a plant-derived polyphenol flavonoid that has been proven to be effective for many diseases. However, the mechanism and in vivo metabolism of quercetin remains to be clarified. It achieves a wide range of biological effects through various metabolites, gut microbiota and its metabolites, systemic mediators produced by inflammation and oxidation, as well as by multiple mechanisms. The all-round disease treatment of quercetin is achieved through the organic combination of multiple channels. Therefore, this article clarifies the metabolic process of quercetin in the body, and explores the new pattern of action of quercetin in the treatment of diseases.

De novo metastatic lobular breast carcinoma: A population-based study from SEER database.

PURPOSE: Patients with metastatic lobular breast carcinoma constitute a heterogeneous group with distinguishing features. Our aim was to describe the features and survival of them, and further subdivide them into subcategories for prognostic stratification and treatment planning. PATIENTS AND METHODS: Patients with de novo metastatic breast cancer from 2010 to 2018 were identified using the SEER database. Multivariate logistic regression analysis was conducted to calculate odds ratios. The within-pair difference was minimized by propensity score matching. Multiple comparisons based on Cox proportional hazards model were performed to investigate the interactions of M1 subcategory and treatment modality on survival. RESULTS: A total of 1,675 patients with de novo metastatic lobular breast carcinoma were identified, they were more likely to have HR+/HER2- subtype, low histologic grade, low T/N stage, fewer metastatic sites, but worse prognosis compared with patients with metastatic ductular breast carcinoma. The M1 stage was subdivided into 3 subcategories with significantly different prognoses. The benefits of primary tumor surgery were more pronounced in M1a/b disease, whereas the benefits of chemotherapy increased with the progression of metastatic disease. CONCLUSION: Patients with metastatic lobular breast carcinoma have unique clinicopathological characteristics and metastatic patterns. M1 subcategory assists prognosis stratification and treatment planning for such patients.

Brain metastasis in de novo breast cancer: An updated population-level study from SEER database.

PURPOSE: Although there are current studies on breast cancer brain metastasis, population-level analysis is still lacking. As treatment for metastatic breast cancer has improved, an updated population-level analysis is necessary. Our aim was to use the SEER database to characterize the incidence and survival of patients with brain metastases at the initial diagnosis of breast cancer. PATIENTS AND METHODS: Patients with breast cancer from 2010 to 2018 were identified using the SEER database. The stratified incidence and median survival of patients with BM at diagnosis were described. Multivariate logistic and Cox regression were performed to determine the covariates associated with brain metastasis and survival outcomes, respectively. Multiple comparisons based on Cox proportional hazards model were performed for the analysis of interactive effects on overall survival. RESULTS: A total of 2,248 patients with brain metastases at the initial diagnosis of breast cancer were identified, accounting for 0.40% of all patients with breast cancer, and 7.26% of patients with metastatic disease. Incidence proportions were highest, and survival outcomes were worst among patients with hormone receptor (HR)-negative human epidermal growth factor receptor 2 (HER2)-positive and triple-negative subtypes. For patients with brain metastases, the prognostic differences among different molecular subtypes have been gradually narrowing, and the survival benefits from various treatment methods have been all increased over time. CONCLUSION: Our study provides an updated population-level estimate of the incidence and survival for patients with brain metastases at the diagnosis of breast cancer, thus may help early identification, prognostic stratification and treatment planning for such patients.

Survival Benefit of Surgical Treatment Added Into Systemic Treatment for Isolated Breast Cancer Liver Metastases: A Systematic Review and Meta-Analysis.

Background: Compared with systemic treatment alone, whether surgical treatment combined with systemic treatment can improve survival outcomes of patients with isolated breast cancer liver metastases (BCLM) is still controversial. This meta-analysis was designed to evaluate the efficacy of surgical treatment for patients with isolated BCLM. Methods: A systematic search of PubMed, Embase, and Cochrane Library up to May 13, 2021 was conducted for relevant studies. The primary outcome was overall survival. The meta-analysis was performed using R software. The quality of the pooled study was assessed using the Newcastle-Ottawa scale. The publication bias was evaluated by funnel plots and Begg's and Egger's tests. Fixed- and random-effects models were applied according to heterogeneity. Results: 9 retrospective studies involving 13 cohorts (7 unmatched cohorts and 6 matched cohorts) were included in this study. The surgical cohorts had better overall survival than the systemic cohorts in the pooled analysis of all the included studies, in the subgroup analysis of liver resection, and in the subset of the matched cohorts. Conclusions: Compared with systemic treatment alone, surgical treatment combined with systemic treatment was proven to be associated with superior survival outcomes, which should be considered in selected patients with isolated BCLM.

A nomogram for predicting brain metastasis in patients with de novo stage IV breast cancer.

BACKGROUND: Brain metastasis (BM) is a very serious event in patients with breast cancer. The aim of this study was to establish a nomogram to predict the risk of BM in patients with de novo stage IV breast cancer. METHODS: We gathered female patients diagnosed with de novo stage IV breast cancer between 2010 and 2015 from the Surveillance, Epidemiology, and End Results (SEER) database. After randomly allocating the patients to the training set and verification set, we used univariate and multivariate logistic regression to analyze the relationship between BM and clinicopathological features. Finally, we developed a nomogram which was validated by the analysis of calibration curve and receiver operating characteristic curve. RESULTS: Of 7,154 patients with de novo stage IV breast cancer, 422 developed BM. Age, tumor size, subtype, and the degree of lung involvement were significantly correlated with BM. The nomogram had discriminatory ability with an area under curve (AUC) of 0.640 [95% confidence interval (CI): 0.607 to 0.673] in the training set, and 0.644 (95% CI: 0.595 to 0.693) in the validation set. CONCLUSIONS: Our study developed a nomogram to predict BM for de novo stage IV breast cancer, thus helping clinicians to identify patients at high-risk of BM and implement early preventive interventions to improve their prognoses.

Evaluation of a novel artificial intelligence-based screening system for diabetic retinopathy in community of China: a real-world study.

PURPOSE: To evaluate the performance of an AI-based diabetic retinopathy (DR) grading model in real-world community clinical setting. METHODS: Participants with diabetes on record in the chosen community were recruited by health care staffs in a primary clinic of Zhengzhou city, China. Retinal images were prospectively collected during December 2018 and April 2019 based on intent-to-screen principle. A pre-validated AI system based on deep learning algorithm was deployed to screen DR graded according to the International Clinical Diabetic Retinopathy scale. Kappa value of DR severity, the sensitivity, specificity of detecting referable DR (RDR) and any DR were generated based on the standard of the majority manual grading decision of a retina specialist panel. RESULTS: Of the 193 eligible participants, 173 (89.6%) were readable with at least one eye image. Mean [SD] age was 69.3 (9.0) years old. Total of 321 eyes (83.2%) were graded both by AI and the specialist panel. The κ value in eye image grading was 0.715. The sensitivity, specificity and area under curve for detection of RDR were 84.6% (95% CI: 54.6- 98.1%), 98.0% (95% CI: 94.3-99.6%) and 0.913 (95% CI: 0.797-1.000), respectively. For detection of any DR, the upper indicators were 90.0% (95% CI: 68.3-98.8), 96.6% (95% CI: 92.1-98.9) and 0.933 (95% CI: 0.933-1.000), respectively. CONCLUSION: The AI system showed relatively good consistency with ophthalmologist diagnosis in DR grading, high specificity and acceptable sensitivity for identifying RDR and any DR. TRANSLATIONAL RELEVANCE: It is feasible to apply AI-based DR screening in community. PRECIS: Deployed in community real-world clinic setting, AI-based DR screening system showed high specificity and acceptable sensitivity in identifying RDR and any DR. Good DR diagnostic consistency was found between AI and manual grading. These prospective evidences were essential for regulatory approval.

The detection rate of methylene blue combined with another tracer in sentinel lymph node biopsy of early-stage breast cancer: a systematic review and network meta-analysis.

BACKGROUND: Methylene blue (MB) alone or combined with 99mtechnetium-labeled sulphur colloid (Tc99m) or indocyanine green (ICG) is widely used for sentinel lymph node biopsy (SLNB) of early-stage breast cancer in developing countries and regions. However, studies investigating the effectiveness of MB combined with another tracer have produced heterogeneous results. The purpose of this network meta-analysis (NMA) was to evaluate the detection rate of MB alone, MB + Tc99m, and MB + ICG, and to examine the differences between the 3 methods. METHODS: We conducted a comprehensive electronic literature search on the PubMed, Embase, Web of Science, CNKI, and Wanfang Data databases from inception to October 2021. The meta-analysis included 7,498 patients in 49 studies. The risk of bias for each study was independently assessed as low, moderate, or high using criteria adapted from the Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2) tool. Fixed- and random-effects models were used to calculate pooled estimates. Mixed-comparison analysis using random-effects models. We assessed statistical heterogeneity by I2 statistics and evaluated publication bias using Begg's test. RESULTS: The identification rate (IR), false-negative rate (FNR), sensitivity (SEN), and accuracy rate (AR) using MB + Tc99m were 96%, 7%, 93%, and 96%, respectively; the IR, FNR, SEN, and AR using MB + ICG were 97%, 7%, 93%, and 97%, respectively. The NMA found that IR and AR between MB + ICG and MB + Tc99m was OR =1.37 (95% CI: 0.41-4.20) and OR =1.33 (95% CI: 0.56-3.32), respectively. DISCUSSION: Our results are similar to those of most previous studies, and meta-analysis showed that the MB + Tc99m or MB + ICG mapping methods can be used to obtain higher IR and lower FNR than MB alone. Our NMA showed no statistical significance between MB + Tc99m and MB + ICG with IR and AR. Both MB + Tc99m and MB + ICG can be used as effective mapping methods in SLNB of early-stage breast cancer to improve the detection rate.

Development and clinical application of deep learning model for lung nodules screening on CT images.

Lung cancer screening based on low-dose CT (LDCT) has now been widely applied because of its effectiveness and ease of performance. Radiologists who evaluate a large LDCT screening images face enormous challenges, including mechanical repetition and boring work, the easy omission of small nodules, lack of consistent criteria, etc. It requires an efficient method for helping radiologists improve nodule detection accuracy with efficiency and cost-effectiveness. Many novel deep neural network-based systems have demonstrated the potential for use in the proposed technique to detect lung nodules. However, the effectiveness of clinical practice has not been fully recognized or proven. Therefore, the aim of this study to develop and assess a deep learning (DL) algorithm in identifying pulmonary nodules (PNs) on LDCT and investigate the prevalence of the PNs in China. Radiologists and algorithm performance were assessed using the FROC score, ROC-AUC, and average time consumption. Agreement between the reference standard and the DL algorithm in detecting positive nodules was assessed per-study by Bland-Altman analysis. The Lung Nodule Analysis (LUNA) public database was used as the external test. The prevalence of NCPNs was investigated as well as other detailed information regarding the number of pulmonary nodules, their location, and characteristics, as interpreted by two radiologists.

Comparison of intravitreal dexamethasone implant and anti-VEGF drugs in the treatment of retinal vein occlusion-induced oedema: a meta-analysis and systematic review.

OBJECTIVE: To compare the efficacy and safety of intravitreal dexamethasone (DEX) implant and anti-vascular endothelial growth factor (anti-VEGF) agents in the treatment of macular oedema secondary to retinal vein occlusion (RVO). DESIGN: Systematic review and meta-analysis based on Grading of Recommendations Assessment, Development and Evaluation (GRADE). DATA SOURCES: PubMed, Cochrane Library and ClinicalTrials.gov registry were searched from inception to 10 December 2019, without language restrictions. ELIGIBILITY CRITERIA: Randomised controlled trials (RCTs) and real-world observation studies comparing the efficacy of DEX implant and anti-VEGF agents for the treatment of patients with RVO, naïve or almost naïve to both arms, were included. DATA EXTRACTION AND SYNTHESIS: Two reviewers independently extracted data for mean changes in best-corrected visual acuity (BCVA), central subfield thickness (CST) and product safety. Review Manager V.5.3 and GRADE were used to synthesise the data and validate the evidence, respectively. RESULTS: Four RCTs and 12 real-world studies were included. An average lower letter gain in BCVA was determined for the DEX implant (mean difference (MD) = -6.59; 95% CI -8.87 to -4.22 letters) administered at a retreatment interval of 5-6 months. Results were similar (MD6 months=-12.68; 95% CI -21.98 to -3.37 letters; MD12 months=-9.69; 95% CI -12.01 to -7.37 letters) at 6 and 12 months. The DEX implant resulted in comparable or marginally less CST reduction at months 6 and 12 but introduced relatively higher risks of elevated intraocular pressure (RR=3.89; 95% CI 2.16 to 7.03) and cataract induction (RR=5.22; 95% CI 1.67 to 16.29). Most real-life studies reported an insignificant numerical gain in letters for anti-VEGF drugs relative to that for DEX implant. However, the latter achieved comparable efficacy with a 4-month dosage interval. CONCLUSION: Compared with anti-VEGF agents, DEX implant required fewer injections but had inferior functional efficacy and safety. Real-life trials supplemented the efficacy data for DEX implant.

Intraoperative radiotherapy versus whole-breast external beam radiotherapy, and other factors associated with the prognosis of early breast cancer treated with breast-conserving surgery and radiotherapy: a retrospective study from SEER database.

BACKGROUND: This study was aimed to investigate the prognostic factors of early breast cancer treated with breast-conserving surgery (BCS) and radiotherapy. Besides, we focused our attention exclusively on the comparison of the impact on prognosis between intraoperative radiotherapy (IORT) and whole-breast external beam radiotherapy (EBRT). METHODS: An observational cohort study was performed on patients with Tis-2 N0-1 M0 breast cancer from the Surveillance, Epidemiology, and End Results (SEER) database who treated with BCS and radiotherapy. Cox regression analysis, Kaplan-Meier analysis, and propensity score matching (PSM) were used to estimate risk factors for overall survival (OS) and breast cancer-specific survival (BCSS). RESULTS: Of the 98,614 early breast cancer patients treated with BCS and radiotherapy, 97,164 (98.5%) patients underwent EBRT and 1,450 (1.5%) underwent IORT. Multivariable Cox regression analysis showed that early breast cancer patients with age ≥65, poor marital status, lack of medical insurance, histological grade III/IV (SEER 4 grades), high T stage, high N stage, and TNBC were associated with a decreased OS/BCSS, whereas ER-positive and PR-positive were associated with an improved OS/BCSS. No significant difference was observed in survival between IORT and EBRT groups (P=0.213 for OS, P=0.180 for BCSS), or between intraoperative beam radiation and intraoperative radioactive implants groups (P=0.319 for OS, P=0.972 for BCSS). CONCLUSIONS: Our study can help clinicians identify patients with poor prognosis after breast-conserving therapy. IORT may be an alternative to EBRT for early breast cancer patients who are unable to complete the long-term postoperative radiation treatment. Beam radiation and radioactive implants are both ideal alternatives for patients who choose IORT.

Feasibility of prostatectomy without prostate biopsy in the era of new imaging technology and minimally invasive techniques.

BACKGROUND: Routinely, after receiving prostate specific antigen (PSA) testing and digital rectum examination, patients with suspected prostate cancer are required to undergo prostate biopsy. However, the ability of ultrasound-guided prostate biopsy to detect prostate cancer is limited. Nowadays, a variety of diagnostic methods and more sensitive diagnostic methods, such as multi-parameter prostate magnetic resonance imaging (mpMRI) and prostate-specific membrane antigen positron emission tomography/computed tomography (PSMA PET/CT) can be applied clinically. Furthermore, laparoscopic/robot-assisted prostatectomy is also a safe and effective procedure for the treatment of benign prostatic hyperplasia. So maybe it is time to reconsider the necessary to perform prostate biopsy before radical prostatectomy. AIM: To explore the feasibility of radical prostatectomy without prostate biopsy in the era of new imaging technology and minimally invasive techniques. METHODS: From June 2014 to November 2018, 11 cases of laparoscopic radical prostatectomy without prostate biopsy were performed at the three tertiary medical centers involved in this study. All patients received prostate magnetic resonance imaging and prostate cancer was suspected, including six patients with positive 68Ga-PSMA PET/CT results. Laparoscopic radical prostatectomy and pelvic lymph node dissection were performed for all patients. RESULTS: All surgeries were accomplished successfully. The mean age was 69 ± 7.7 year, the mean body mass index was 24.7 ± 1.6 kg/m2, the range of serum PSA was 4.3 to >1000 ng/mL, and the mean prostate volume was 40.9 ± 18.3 mL. The mean operative time was 96 ± 23.3 min, the mean estimated blood loss was 90 ± 90.9 mL, and the median duration of catheter placement was 14 d. The final pathology confirmed that all specimens were prostate cancer except one case of benign prostatic hyperplasia. No major complications occurred in 90 d postoperatively. CONCLUSION: The current practice of mandating a prostatic biopsy before prostatectomy should be reconsidered in the era of new imaging technology and minimally invasive techniques. Radical prostatectomy could be carried out without the evidence of malignancy. Large-sample randomized controlled trials are definitely required to confirm the feasibility of this new concept.

Efficacy and safety of adalimumab in the treatment of non-infectious uveitis: a meta-analysis and systematic review.

OBJECTIVE: To summarize updated evidences on the efficacy and safety of adalimumab (ADA) in the treatment of patients with non-infectious uveitis. PATIENTS AND METHODS: A systematic search between January 2000 and September 2017 was conducted using PubMed, Embase, and Cochrane libraries. We investigated control of inflammation, improvement of visual acuity (VA), corticosteroid-sparing effect, and adverse events (AEs) or serious adverse events. RESULTS: Three randomized clinical trials (RCTs) and 20 non-RCTs were included and analyzed. The pooled proportions of inflammation control were 74% (95% CI 64%-82%) and 79% (95% CI 69%-87%) in groups of ≤6- and ≥12-months follow-up durations. No significant difference was found between the two groups (χ2 = 0.920, p = 0.337). Analysis of subgroups classified by degree of being treatment-naïve for anti-TNFα agents showed the inflammation control reached a high of 87% (95% CI 80%-92%) when subjects were "almost naïve" to anti-TNFα before ADA treatment. VA was improved by three or more lines in 41.3% (52/126) eyes, and was equal to or better than the baseline in 88.8% (142/160) eyes. Corticosteroid sparing was observed in 82.0% (91/111) of the patients; among them, 48.8% (40/82) discontinued use of corticosteroid completely. Minor drug-related adverse events were reported. The treatment effects of ADA were generally consistent in the three RCTs, and ADA reduced the risk of treatment failure by 43%-75%. CONCLUSION: The current review provided evidences that ADA might be a promising choice in reducing inflammatory activity, gaining VA, and sparing corticosteroid use with minor AEs when applied in treating non-infectious uveitis.

Quercetin protects against chronic prostatitis in rat model through NF-κB and MAPK signaling pathways.

BACKGROUND: Chronic Prostatitis/Chronic Pelvic Pain Syndrome (CP/CPPS) is a common disease of urology, of which the pathogenesis and therapy remain to be further elucidated. Quercetin has been reported to improve the symptoms of CP/CPPS patients. We aimed to verify the therapeutic effect of quercetin on CP/CPPS and identify the mechanism responsible for it. METHODS: A novel CP/CPPS model induced with Complete Freund Adjuvant in Sprague Dawley rats was established and the prostates and blood specimens were harvested for further measurement after oral administration of quercetin for 4 weeks. RESULTS: Increased prostate index and infiltration of lymphocytes, up-regulated expression of IL-1ß, IL-2, IL-6, IL-17A, MCP1, and TNFα, decreased T-SOD, CAT, GSH-PX, and increased MDA, enhanced phosphorylation of NF-κB, P38, ERK1/2, and SAPK/JNK were detected in CP/CPPS rat model. Quercetin was identified to ameliorate the histo-pathologic changes, decrease the expression of pro-inflammatory cytokines IL-1ß, IL-2, IL-6, IL-17A, MCP1, and TNFα, improve anti-oxidant capacity, and suppress the phosphorylation of NF-κB and MAPKs. CONCLUSIONS: Quercetin has specific protective effect on CP/CPPS, which is mediated by anti-inflammation, anti-oxidation, and at least partly through NF-κB and MAPK signaling pathways.

A Retrospective Study Comparing Surgical and Early Oncological Outcomes between Intracorporeal and Extracorporeal Ileal Conduit after Laparoscopic Radical Cystectomy from a Single Center.

BACKGROUND: Robot-assisted/laparoscopic intracorporeal ileal conduit (ICIC) has been reported in many experienced centers. Whether laparoscopic ICIC is superior to extracorporeal ileal conduit (ECIC) and whether laparoscopic ICIC should be promoted is still controversial. The aim of the study was to compare surgical and early oncological outcomes between patients undergoing laparoscopic radical cystectomy (LRC) with ICIC and ECIC. METHODS: From January 2011 to June 2016, a total of 45 patients with bladder cancer underwent LRC with ileal conduit at our department, of whom 20 patients underwent LRC with ECIC and 25 patients underwent LRC with ICIC. Data of each patient's characteristics, surgical outcomes, and short-term oncological outcomes were collected and analyzed. RESULTS: LRC with ileal conduit was performed successfully on all 45 patients. There were no significant differences in patients' characteristics, mean total operative time, and mean estimated blood loss between the ICIC and ECIC groups. Median time of flatus and oral intake was shorter in the ICIC group compared with the ECIC group (3 vs. 5 days, P = 0.035; 4 vs. 5 days, P = 0.002). The complications rates did not show significant difference between the two groups within the first 90 days postoperatively (P = 0.538). Cancer staging showed 45% of patients in the ECIC group and 36% in the ICIC group had a pathologic stage of T3 or T4, and 50% of patients in the ECIC group and 44% in the ICIC group had a pathologic stage of N1 or N1+. Kaplan-Meier analysis showed no significant difference in overall survival at 24 months (60% vs. 62%, P = 0.857) between the ECIC and ICIC groups. CONCLUSIONS: ICIC after LRC may be successful with the benefits of faster recovery time. No significant difference was found in complications and oncological outcomes between ICIC and ECIC. However, larger series with longer follow-up are needed to validate this procedure.