Assessing the relative effectiveness of various ultrasound-guided ablation techniques for treating benign thyroid nodules: A systematic review and network meta-analysis.

BACKGROUND: Benign thyroid nodules (BTNs) represent a prevalent clinical challenge globally, with various ultrasound-guided ablation techniques developed for their management. Despite the availability of these methods, a comprehensive evaluation to identify the most effective technique remains absent. This study endeavors to bridge this knowledge gap through a network meta-analysis (NMA), aiming to enhance the understanding of the comparative effectiveness of different ultrasound-guided ablation methods in treating BTNs. METHODS: We comprehensively searched PubMed, Embase, Cochrane, Web of Science, Ovid, SCOPUS, and ProQuest for studies involving 16 ablation methods, control groups, and head-to-head trials. NMA was utilized to evaluate methods based on the percentage change in nodule volume, symptom score, and cosmetic score. This study is registered in INPLASY (registration number 202260061). RESULTS: Among 35 eligible studies involving 5655 patients, NMA indicated that RFA2 (radiofrequency ablation, 2 sessions) exhibited the best outcomes at 6 months for percentage change in BTN volume (SUCRA value 74.6), closely followed by RFA (SUCRA value 73.7). At 12 months, RFA was identified as the most effective (SUCRA value 81.3). Subgroup analysis showed RFA2 as the most effective for solid nodule volume reduction at 6 months (SUCRA value 75.6), and polidocanol ablation for cystic nodules (SUCRA value 66.5). CONCLUSION: Various ablation methods are effective in treating BTNs, with RFA showing notable advantages. RFA with 2 sessions is particularly optimal for solid BTNs, while polidocanol ablation stands out for cystic nodules.

Drug-coated balloon therapy for in-stent restenosis in patients with iliofemoral deep vein thrombosis: A single-arm observational study.

BACKGROUND: Iliofemoral deep vein thrombosis (IFDVT) causes severe symptoms and affect the quality of life to a great extent. Endovascular thrombectomy and stent implantation have been a feasible strategie to alleviate the signs and symptoms of IFDVT. However, venous in-stent restenosis (ISR) has become an emerging non-negligible problem. METHODS: To evaluate the histological characteristics of venous ISR, neointima of arterial and venous ISR patients were collected and examed. To explore the effect of drug-coated balloon (DCB) on venous ISR lesions, we conducted a single-center retrospective case series study involving IFDVT patients with ISR after venous stenting who were treated with paclitaxel-coated balloon dilatation. RESULTS: We found a collagen-rich matrix but not elastin, as well as fewer cells and less neovascularization in venous intimal hyperplasia compared with neointima in arteries. Thirteen IFDVT patients were involved in the study, with average preoperative stenosis degree of 87.69% ± 13.48%. After intervention, the stenosis degree was significantly reduced to 14.6% ± 14.36% immediately (p < 0.0001) and to 16.54% ± 15.73% during follow-up (p < 0.0001). During follow-up, the VEINES-QOL scores (p < 0.0001), VEINES-Sym scores (p < 0.0001), and Villalta scores (p = 0.04) of patients was improved significantly compared with those before intervention. No major adverse events were observed. CONCLUSIONS: The use of DCB may have a positive effect in the treatment of venous ISR by targeting intimal hyperplasia. Moreover, the application of DCB dilatation in IFDVT stenting patients with ISR is deemed safe and effective.

Integrative multi-omics analyses reveal vesicle transport as a potential target for thoracic aortic aneurysm.

BACKGROUND: Thoracic aortic aneurysm (TAA) refers to dilation and enlargement of the thoracic aorta caused by various reasons. Most patients have no apparent symptoms in the early stage and are subject to a poor prognosis once the aneurysm ruptures. It is crucial to identify individuals who are predisposed to TAA and to discover effective therapeutic targets for early intervention. METHODS: We conducted a label-free quantitative proteomic analysis among aorta tissue samples from TAA patients to screen differentially expressed proteins (DEPs) and key co-expression modules. Two datasets from Gene Expression Omnibus (GEO) database were included for integrative analysis, and the identified genes were subjected to immunohistochemistry (IHC) validation. Detailed vesicle transport related enrichment analysis was conducted and two FDA-approved drugs, chlorpromazine (CPZ) and chloroquine (CQ), were selected for in vivo inhibition of vesicle transport in mice TAA model. The diameter of thoracic aorta, mortality and histological differences after interventions were evaluated. RESULTS: We found significant enrichments in functions involved with vesicle transport, extracellular matrix organizing, and infection diseases in TAA. Endocytosis was the most essential vesicle transport process in TAA formation. Interventions with CPZ and CQ significantly reduced the aneurysm diameter and elastin degradation in vivo and enhanced the survival rates of TAA mice. CONCLUSIONS: We systematically screened the aberrantly regulated bioprocesses in TAA based on integrative multi-omics analyses, identified and demonstrated the importance of vesicle transport in the TAA formation. Our study provided pilot evidence that vesicular transport was a potential and promising target for the treatment of TAA.

Intra-arterial chemotherapy plus BCG, a promising combination adjuvant treatment for high-risk NMIBC.

PURPOSE: To develop a novel combination therapy for high-risk nonmuscle-invasive bladder cancer (NMIBC) after transurethral resection of bladder tumor (TURBT), namely, intra-arterial chemotherapy (IAC) plus BCG immunotherapy, and to compare the feasibility and safety of the 2 therapies. MATERIALS AND METHODS: A retrospective study was conducted on the data of 119 patients who were diagnosed with high-risk NMIBC and underwent TURBT in the past 5 years. Those who did not complete the treatment were excluded, and the remaining 98 patients were divided into 2 groups: both groups received intravesical BCG immunotherapy, while the BCG+IAC group received 4 courses of extra intra-arterial chemotherapy. Clinical and follow-up data were processed using statistical software. RESULTS: The recurrence rate was 22.2% in the BCG+IAC group and 35.8% in the BCG group, whereas the progression rates were 8.9% and 24.5%, respectively. In the Kaplan-Meier plot, a statistically significant difference was observed with respect to recurrence-free survival (p = 0.025), as well as the progression-free survival of the two groups was similar (p = 0.019). A total of 22.2% of the patients with adverse effects of IAC and 79.6% of patients suffered from adverse reactions to BCG immunotherapy, and most of the adverse effects were mild and tolerable. Univariate and multivariate analysis indicated that multifocal and treatment were independent risk factors for recurrence, while the history of recurrence and treatment were independent risk factors for progression. CONCLUSION: IAC could be a promising auxiliary treatment for BCG immunotherapy in decreasing the recurrence and progression rate of high-risk NMIBC with little additional toxicity.

Covered Stents vs Bare Metal Stents for Aortoiliac Arterial Diseases: A Systematic Review and Meta-Analysis.

PURPOSE: Covered stents and bare metal stents (BMS) have been regarded as viable treatment options for aortoiliac arterial diseases. We performed this systematic review and meta-analysis to compare the efficacy of covered stents with BMS for aortoiliac arterial diseases. MATERIALS AND METHODS: The Cochrane Library, Embase, and Medline databases were searched by 2 authors (C.Z. and Z.W.) to retrieve all studies comparing the outcomes of covered stents vs BMS for aortoiliac arterial diseases. The Cochrane tool and the Newcastle-Ottawa scale were used to assess the risk of bias in randomized controlled trials and observational studies, respectively. The outcomes at the same stage reported in at least 2 studies were pooled together. The fixed effects model combined the data when I2<50%, otherwise the random effects model was applied. The results for dichotomous variables were presented as odds ratio (OR) or risk difference and 95% confidence interval (CI); continuous variables were reported as mean difference and 95% CI. RESULTS: Herein, 10 studies with a total of 1695 limbs were included. The covered stents significantly increased the freedom from target lesion revascularization (OR 2.85, 95% CI: 1.28-6.33, p=0.010) compared to the BMS during a 24-month follow-up. However, no statistically significant difference was found in the technical success, primary patency, secondary patency, major adverse events (MAEs), ankle-brachial index (ABI) improvement, limb salvage, and survival between the two groups. CONCLUSION: Compared to BMS, covered stents appear to have similar technical success, primary patency, secondary patency, MAEs, ABI improvement, limb salvage, and survival but may have advantages in reducing target lesion revascularization. More well-designed, prospective studies are warranted to determine such findings. CLINICAL IMPACT: Covered stents may increase freedom from target lesion revascularization (TLR) compared to bare metal stents (BMS) in the treatment of aortoiliac arterial diseases. However, technical success, primary patency, secondary patency, major adverse events (MAEs), ABI improvement, limb salvage, and survival were similar. The aforementioned results are still not sufficient to draw a solid conclusion about the selection of stents for aortoiliac arterial diseases. More well-designed, prospective studies are warranted to determine such findings.

Prognostic Value of Lymph Node Parameters in Elderly Patients With Stage III Serous Ovarian Cancer Based on Competing Risk Model.

OBJECTIVES: Competing risk models were used in this study. The purpose of this study was to assess the predictive usefulness of lymph node characteristics in elderly patients with stage III serous ovarian cancer. METHODS: We conducted a retrospective analysis on 148,598 patients from 2010 to 2016 using the surveillance, epidemiology, and end results database. Lymph node characteristics were collected and examined, including the number of lymph nodes retrieved the number of lymph nodes examined (ELN) and the number of positive lymph nodes (PN). Using competing risk models, we evaluated the connection between these variables and overall survival (OS) and disease-specific survival (DSS). RESULTS: This study included a total of 3457 ovarian cancer patients. Multivariate analysis using the COX proportional hazards model found that ELN>22 was an independent predictive factor for both OS (hazard ratio [HR] [95% CI]=0.688 [0.553 to 0.856], P <0.05) and DSS (HR [95% CI]=0.65 [0.512 to 0.826], P <0.001), PN>8 was identified as a significant risk factor for both OS (HR [95% CI]=0.908 [0.688 to 1.199], P =0.497) and DSS (HR [95% CI]=0.926 [0.684 to 1.254], P =0.62). Subsequently, using the competing risk model, ELN>22 was found to be an independent protective factor for DSS (HR [95% CI]=0.738 [0.574 to 0.949], P =0.018), while PN>8 was identified as a risk factor for DSS (HR [95% CI]=0.999 [0.731 to 1.366], P =1). CONCLUSIONS: Our findings demonstrate the robustness of the competing risk model to evaluate the results of the COX proportional hazards model analysis.

m6A Modification Mediates Endothelial Cell Responses to Oxidative Stress in Vascular Aging Induced by Low Fluid Shear Stress.

N6-methyladenosine (m6A) is one of the most prevalent, abundant, and internal transcriptional modification and plays essential roles in diverse cellular and physiological processes. Low fluid shear stress (FSS) is a key pathological factor for many cardiovascular diseases, which directly forces on the endothelial cells of vessel walls. So far, the alterations and functions of m6A modifications in vascular endothelial cells at the low FSS are still unknown. Herein, we performed the transcriptome-wide m6A modification profiling of HUVECs at different FSS. We found that the m6A modifications were altered earlier and more sensitive than mRNA expressions in response to FSS. The low FSS increased the m6A modifications at CDS region but decreased the m6A modifications at 3' UTR region and regulated both the mRNA expressions and m6A modifications of the m6A regulators, such as the RBM15 and EIF3A. Functional annotations enriched by the hypermethylated and hypomethylated genes at low FSS revealed that the m6A modifications were clustered in the aging-related signaling pathways of mTOR, PI3K-AKT, insulin, and ERRB and in the oxidative stress-related transcriptional factors, such as HIF1A, NFAT5, and NFE2L2. Our study provided a pilot view of m6A modifications in vascular endothelial cells at low FSS and revealed that the m6A modifications driven by low FSS mediated the cellular responses to oxidative stress and cell aging, which suggested that the m6A modifications could be the potential targets for inhibiting vascular aging at pathological low FSS.

Developing and optimizing a machine learning predictive model for post-thrombotic syndrome in a longitudinal cohort of patients with proximal deep venous thrombosis.

BACKGROUND: Post-thrombotic syndrome (PTS) is the most common chronic complication of deep venous thrombosis (DVT). Risk measurement and stratification of PTS are crucial for patients with DVT. This study aimed to develop predictive models of PTS using machine learning for patients with proximal DVT. METHODS: Herein, hospital inpatients from a DVT registry electronic health record database were randomly divided into a derivation and a validation set, and four predictive models were constructed using logistic regression, simple decision tree, eXtreme Gradient Boosting (XGBoost), and random forest (RF) algorithms. The presence of PTS was defined according to the Villalta scale. The areas under the receiver operating characteristic curves, decision-curve analysis, and calibration curves were applied to evaluate the performance of these models. The Shapley Additive exPlanations analysis was performed to explain the predictive models. RESULTS: Among the 300 patients, 126 developed a PTS at 6 months after DVT. The RF model exhibited the best performance among the four models, with an area under the receiver operating characteristic curves of 0.891. The RF model demonstrated that Villalta score at admission, age, body mass index, and pain on calf compression were significant predictors for PTS, with accurate prediction at the individual level. The Shapley Additive exPlanations analysis suggested a nonlinear correlation between age and PTS, with two peak ages of onset at 50 and 70 years. CONCLUSIONS: The current predictive model identified significant predictors and accurately predicted PTS for patients with proximal DVT. Moreover, the model demonstrated a nonlinear correlation between age and PTS, which might be valuable in risk measurement and stratification of PTS in patients with proximal DVT.

Ultrasound-based radiomics score for pre-biopsy prediction of prostate cancer to reduce unnecessary biopsies.

BACKGROUND: Patients undergoing prostate biopsies (PBs) suffer from low positive rates and potential risk for complications. This study aimed to develop and validate an ultrasound (US)-based radiomics score for pre-biopsy prediction of prostate cancer (PCa) and subsequently reduce unnecessary PBs. METHODS: Between December 2015 and March 2018, 196 patients undergoing initial transrectal ultrasound (TRUS)-guided PBs were retrospectively enrolled and randomly assigned to the training or validation cohort at a ratio of 7:3. A total of 1044 radiomics features were extracted from grayscale US images of each prostate nodule. After feature selection through the least absolute shrinkage and selection operator (LASSO) regression model, the radiomics score was developed from the training cohort. The prediction nomograms were developed using multivariate logistic regression analysis based on the radiomics score and clinical risk factors. The performance of the nomograms was assessed and compared in terms of discrimination, calibration, and clinical usefulness. RESULTS: The radiomics score consisted of five selected features. Multivariate logistic regression analysis demonstrated that the radiomics score, age, total prostate-specific antigen (tPSA), and prostate volume were independent factors for prediction of PCa (all p < 0.05). The integrated nomogram incorporating the radiomics score and three clinical risk factors reached an area under the curve (AUC) of 0.835 (95% confidence interval [CI], 0.729-0.941), thereby outperforming the clinical nomogram which based on only clinical factors and yielded an AUC of 0.752 (95% CI, 0.618-0.886) (p = 0.04). Both nomograms showed good calibration. Decision curve analysis indicated that using the integrated nomogram would add more benefit than using the clinical nomogram. CONCLUSION: The radiomics score was an independent factor for pre-biopsy prediction of PCa. Addition of the radiomics score to the clinical nomogram shows incremental prognostic value and may help clinicians make precise decisions to reduce unnecessary PBs.

Impact of Time-To-Surgery on the Prognosis of Patients with T1 Renal Cell Carcinoma: Implications for the COVID-19 Pandemic.

Background: During the COVID-19 pandemic, elective surgery has to undergo longer wait times, including nephrectomy for T1 renal cell carcinoma (RCC). This study aimed to investigate the time-to-surgery (TTS) of Chinese T1 RCC patients and its influencing factors, and to illustrate the impact of TTS on the prognosis of T1 RCC. Methods: We retrospectively enrolled 762 Chinese patients with pathological T1 RCC that underwent nephrectomy. To discover the impact of TTS on survival outcomes, we explored the possible delay intervals by week using the Kaplan-Meier method and Log-rank test. Cox proportional hazard models with inverse probability-treatment weighting (IPTW) were used to assess the association between TTS and disease-free survival (DFS) and overall survival (OS). Results: The median TTS of T1 RCC patients was 15 days. The Charlson comorbidity index, the Preoperative Aspects and Dimensions Used for an Anatomical (PADUA) score, and the maximal tumor diameter on presentation were independent influencing factors for TTS. The cut-off point of TTS was selected as 5 weeks according to the Log-rank analysis. For T1a RCC, patients with TTS > 5 weeks had similar DFS (HR = 2.39; 95% CI, 0.82−6.94; p = 0.109) and OS (HR = 1.28; 95% CI, 0.23−7.16; p = 0.779) compared to patients with TTS ≤ 5 weeks. For T1b RCC, patients with TTS > 5 weeks had shorter DFS (HR = 2.90; 95% CI = 1.46−5.75; p = 0.002) and OS (HR = 2.49, 95% CI = 1.09−5.70; p = 0.030) than patients with TTS ≤ 5 weeks. Conclusions: Prolonged TTS had no impact on the prognosis of T1a RCC while surgery delayed for over 5 weeks may lead to worse survival in T1b RCC.

Light-activated gold nanorods for effective therapy of venous malformation.

Gold nanorods have been studied extensively in the field of tumor therapy but have not been explored in the treatment of venous malformation (VM), which is a common vascular disease in clinic practice lacking an effective therapeutic approach. Herein we reported a nanoplatform of CD31 antibody-conjugated gold nanorods for the photothermal therapy of venous malformation. We immobilized CD31 antibodies on gold nanorods using standard 1-ethyl-3-(3-dimethylaminopropyl) carbodiimide (EDC)/N-hydroxysulfosuccinimide sodium (NHS) amine coupling strategies. Besides, a VM xenograft model suitable for testing therapeutic efficacy was established by isolating and culturing VM patient endothelial cells. In vitro experiments indicated that anti-CD31 gold nanorods (GNRs) combined with photothermal therapy (PTT) contributed to the suppression of proliferation and activation of the apoptosis pathway. For in vivo experiments, anti-CD31 GNRs were locally injected into VM xenograft models followed by near infrared (NIR) 808 â€‹nm laser irradiation. Notably, VM on the mice was destroyed and absorbed. The anti-CD31 GNRs nanoplatform may serve as a new strategy for the treatment of VM which is of good biosafety and high value of applications.

Adhesive hydrogel wrap loaded with Netrin-1-modified adipose-derived stem cells: An effective approach against periarterial inflammation after endovascular intervention.

Endovascular interventions, such as balloon dilation and stent implantation, are currently recommended as the primary treatment for patients with peripheral artery disease (PAD), greatly improving patient prognosis. However, the consequent lumen restenosis that occurs after endovascular interventions has become an important clinical problem. Inflammation has been proven to be crucial to postoperative restenosis. In previous studies we have identified that Netrin-1-modified adipose-derived stem cells (N-ADSCs) transplantation is an effective anti-inflammatory strategy to repair vascular damage. Nevertheless, it remained to be explored how one could constantly deliver N-ADSCs onto damaged arteries. Therefore, we developed an adhesive double network (DN) hydrogel wrap loaded with N-ADSCs for sustained perivascular delivery. Inspired by the adhesion mechanism of mussels, we developed an adhesive and tough polyacrylamide/calcium-alginate/reduced graphene oxide/polydopamine (PAM/CA/rGO/PDA) hydrogel. Dopamine was attached to graphene sheets and limitedly oxidized to generate free catechol groups. The hydrogel could wrap damaged arteries and induce anti-inflammatory effects through N-ADSCs. In vitro experiments demonstrated that N-ADSCs significantly promoted the M2 polarization of macrophages to anti-inflammatory phenotypes and reduced the expression of inflammatory factors. In vivo experiments in a rat carotid artery guidewire injury model showed that the adhesive hydrogel wrap loaded with N-ADSCs could significantly reduce arterial inflammation, inhibit intimal hyperplasia and improve re-endothelialization. Altogether, this newly developed N-ADSCs-loaded hydrogel wrap provides an effective slow-releasing system, which may be a promising way to prevent and treat restenosis after endovascular interventions.

Local versus general anesthesia for endovascular aneurysm repair in ruptured abdominal aortic aneurysm: A systematic review and meta-analysis.

OBJECTIVES/BACKGROUND: In the endovascular treatment of ruptured abdominal aortic aneurysm (RAAA), there is no effective evidence to show preference for a specific anesthetic option. A meta-analysis was conducted to assess the result of different anesthesia in endovascular aneurysm repair (EVAR) of RAAA. METHODS: Randomized controlled trials (RCTs) and cohort studies were searched in PubMed, Embase, Ovid, and the Cochrane Library. Newcastle-Ottawa Scale and the Cochrane Risk of Bias Tool were applied to evaluate the quality of cohort studies and RCTs, respectively. Odds ratios (ORs) and 95% confidence intervals (CIs) were used to express differences for primary and secondary outcomes. Subgroup analyses and sensitivity analyses were applied in the primary outcome to illustrate the results further. Significance was set at p < 0.05. Random-effects models were used considering limited research regardless of I2 < 50%. RESULTS: Ten cohort studies were included in this meta-analysis. Perioperative mortality was presented as the primary outcome by analyzing eight of these research. Among the included patients, local anesthesia (LA) was considered as a better choice considering perioperative mortality (n = 156/902) rather than general anesthesia (n = 907/3434) with significant difference (OR: 0.49; 95% CI: 0.35-0.67; p < 0.00001; I2 = 42%). However, no significant difference was found in the secondary outcome: the complication rate, ICU admission rate, postoperative morbidity of pneumonia, myocardial infarction, leg ischemia, and wound complication. CONCLUSIONS: There exists some evidence in this review that LA appears to improve perioperative mortality, especially in hemodynamically stable patients and should be recommended for patients undergoing EVAR with RAAA when appropriate.

Endovascular Excimer Laser-Assisted Balloon Angioplasty for Infrapopliteal Arteries in Thromboangiitis Obliterans: A Treatment for Acute-Phase TAO.

Background: Thromboangiitis obliterans (TAO, Buerger's disease) is an inflammatory and obstructive vasculopathy, which leads to limb ischemic rest pain and ulcerations in the acute stage. Objectives: This study aimed to assess the feasibility of excimer laser-assisted balloon angioplasty (BA) for patients with acute infrapopliteal TAO. Method: This was a single-center retrospective cohort study. In this study, 220 patients with 210 target limbs between January 2012 and September 2021 were involved. Among them, 52 target limbs have received endovascular excimer laser-assisted balloon angioplasty from January 2017. The ankle brachial index (ABI), rest pain score, ulcer, Rutherford classification, and TASC II classification were assessed. The follow-up time was 6 months. Results: The technical success rate of laser + BA and BA groups was 71.15 and 65.82% (p = 0.5021), respectively. After intervention, the ABI of two groups were 0.85 ± 0.20 and 0.77 ± 0.20 (p = 0.0419), and the rest pain score was 1.00 ± 1.43 and 1.71 ± 2.25 (p = 0.0449). During the 6 months follow-up, the ABI of two groups was 0.76 ± 0.17 and 0.75 ± 0.23 (p = 0.8539), the rest pain score was 1.43 ± 1.82 and 2.24 ± 2.06 (p = 0.0783), and the ulcer rate was 23.68 and 40.98% (p = 0.0867), respectively. The proportion of patients who were assessed as TASC II C/D or Rutherford 4-6 in laser +BA group was significantly lower than that in BA group, indicating that the former had better efficacy. The rate of critical limb ischemia and restenosis in the laser +BA group was lower than that in the BA group (47.36 vs. 67.22%; 21.05 vs. 34.43%) during follow-up. In the laser + BA group, the reintervention rate was lower than that in the BA group (2.70 vs. 8.20%, p = 0.0425). No serious adverse events (AEs) occurred. Conclusion: Excimer laser debulking-assisted angioplasty is a feasible, effective, and safe method to treat acute infrapopliteal TAO.

A SOM-Based Membrane Optimization Algorithm for Community Detection.

The real world is full of rich and valuable complex networks. Community structure is an important feature in complex networks, which makes possible the discovery of some structure or hidden related information for an in-depth study of complex network structures and functional characteristics. Aimed at community detection in complex networks, this paper proposed a membrane algorithm based on a self-organizing map (SOM) network. Firstly, community detection was transformed as discrete optimization problems by selecting the optimization function. Secondly, three elements of the membrane algorithm, objects, reaction rules, and membrane structure were designed to analyze the properties and characteristics of the community structure. Thirdly, a SOM was employed to determine the number of membranes by learning and mining the structure of the current objects in the decision space, which is beneficial to guiding the local and global search of the proposed algorithm by constructing the neighborhood relationship. Finally, the simulation experiment was carried out on both synthetic benchmark networks and four real-world networks. The experiment proved that the proposed algorithm had higher accuracy, stability, and execution efficiency, compared with the results of other experimental algorithms.

The effect of heat treatment on the anatase-rutile phase transformation and photocatalytic activity of Sn-doped TiO2 nanomaterials.

Sn-doped TiO2 nanomaterials with different amounts of Sn (1, 2.5, 5, 10, and 15 at%) were prepared by a sol-gel method and characterized by XRD, TG, DTA, EDS, XPS, DRS, SEM, BET, and PL. The photocatalytic activity of the prepared samples was investigated by measuring the degradation of rhodamine B in aqueous solution under UV light. The experimental results indicate that doping with Sn promotes phase transformation from anatase to rutile. The photocatalytic activity of TiO2 is influenced by both the heat treatment temperature and the Sn doping concentration. 1% Sn-TiO2 exhibits the highest degradation rate at 350 °C and 5% Sn-TiO2 exhibits the best photocatalytic activity at 500 °C and 650 °C. The enhancement of the photocatalytic activity can be ascribed to a larger surface area and a better hydration ability, as well as less recombination of the photogenerated pairs.