Efficacy and safety of high-intensity focused ultrasound combined with suction curettage for the treatment of caesarean scar pregnancy: a systematic review and single-arm meta-analysis.

PURPOSE: Caesarean scar pregnancy (CSP) presents a significant clinical challenge owing to the associated risks of uterine scar rupture, severe haemorrhage and adverse maternal outcomes. This study aimed to assess the safety and efficacy of combining high-intensity focused ultrasound (HIFU) with suction curettage for treating CSP. METHODS: We conducted a comprehensive search in four databases, namely PubMed, Web of Science, Embase and Cochrane Library, to identify published studies evaluating the use of HIFU combined with suction curettage to treat CSP. Intraoperative blood loss, treatment success rate, and reproductive results were the primary outcomes assessed. RESULTS: A total of 18 studies involving 1251 patients with CSP, all of whom received preoperative HIFU therapy were included. The average hospital stay was 6.22 days, the intraoperative blood loss was 26.29 ml and the incidence of adverse events was 15.60%, including abdominal or lower limb pain, fever, vaginal bleeding, haematuria and vomiting. Furthermore, post-treatment follow-up showed that serum ß-human chorionic gonadotropin levels were rapidly normalized (average of 25.48 days) and menstruation returned (average of 33.03 days). The treatment had a remarkable success rate of 97.60% and a subsequent pregnancy rate of 68.70%. CONCLUSION: While the combination of HIFU and suction-curettage may induce common adverse effects such as lower abdominal or limb pain, these reactions typically do not necessitate therapeutic intervention. Additionally, the size of the gestational sac is a determinant of the procedure's success. In conclusion, HIFU combined with suction curettage demonstrates promising clinical efficacy, safety and favourable reproductive outcomes in managing CSP.

Prediction of postoperative reintervention risk for uterine fibroids using clinical-imaging features and T2WI radiomics before high-intensity focused ultrasound ablation.

OBJECTIVE: To predict the risk of postoperative reintervention for uterine fibroids using clinical-imaging features and T2WI radiomics before high-intensity focused ultrasound (HIFU) ablation. METHODS: Among patients with uterine fibroids treated with HIFU from 2019 to 2021, 180 were selected per the inclusion and exclusion criteria (42 reintervention and 138 non-reintervention). All patients were randomly assigned to either the training (n = 125) or validation (n = 55) cohorts. Multivariate analysis was used to determine independent clinical-imaging features of reintervention risk. The Relief and LASSO algorithm were used to select optimal radiomics features. Random forest was used to construct the clinical-imaging model based on independent clinical-imaging features, the radiomics model based on optimal radiomics features, and the combined model incorporating the above features. An independent test cohort of 45 patients with uterine fibroids tested these models. The integrated discrimination index (IDI) was used to compare the discrimination performance of these models. RESULTS: Age (p < .001), fibroid volume (p = .001) and fibroid enhancement degree (p = .001) were identified as independent clinical-imaging features. The combined model had AUCs of 0.821 (95% CI: 0.712-0.931) and 0.818 (95% CI: 0.694-0.943) in the validation and independent test cohorts, respectively. The predictive performance of the combined model was 27.8% (independent test cohort, p < .001) and 29.5% (independent test cohort, p = .001) better than the clinical-imaging and radiomics models, respectively. CONCLUSION: The combined model can effectively predict the risk of postoperative reintervention for uterine fibroids before HIFU ablation. It is expected to help clinicians to develop accurate, personalized treatment and management plans. Future studies will need to be prospectively validated.

Development and validation of a combined model based on dual-sequence MRI radiomics for predicting the efficacy of high-intensity focused ultrasound ablation for hysteromyoma.

OBJECTIVES: To determine the value of dual-sequence magnetic resonance imaging (MRI)-based radiomics in predicting the efficacy of high-intensity focused ultrasound (HIFU) ablation for hysteromyoma. METHODS: A total of 142 patients with 172 hysteromyomas (95 hysteromyomas from the sufficient ablation group, and 77 hysteromyomas from the insufficient ablation group) were enrolled in the study. The clinical-radiological model was constructed with independent clinical-radiological risk factors, the radiomics model was constructed based on the optimal radiomics features of hysteromyoma from dual sequences, and the two groups of features were incorporated to construct the combined model. A fivefold cross validation procedure was adopted to validate these models. A nomogram was constructed, applying the combined model in the training cohort. The models were assessed with receiver operating characteristic (ROC) curves and integrated discrimination improvement (IDI). An independent test cohort comprising 40 patients was used to evaluate the performance of the optimal model. RESULTS: Among the three models, the average areas under the ROC curves (AUC) of the radiomics model and combined model were 0.803 (95% confidence interval (CI): 0.726-0.881) and 0.841 (95% CI: 0.772-0.909), which were better than the clinical-radiological model in the training cohort. The IDI showed that the combined model had the best prediction accuracy. The combined model also showed good discrimination in both the validation cohort (AUC = 0.834) and the independent test cohort (AUC = 0.801). CONCLUSION: The combined model based on the dual-sequence MRI radiomics is the most promising tool from our study to assist clinicians in predicting HIFU ablation efficacy.

Perioperative, function, and positive surgical margin in extraperitoneal versus transperitoneal single port robot-assisted radical prostatectomy: a systematic review and meta-analysis.

BACKGROUND: Extraperitoneal and transperitoneal approaches are two common modalities in single-port (SP) robot-assisted radical prostatectomy (RARP), but differences in safety and efficacy between the two remain controversial. This study aimed to compare the perioperative, function, and positive surgical margin of extraperitoneal with transperitoneal approaches SP-RARP. METHODS: Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement, this study is registered with PROSPERO (CRD 42023409667). We systematically searched databases including PubMed, Embase, Web of Science, and Cochrane Library to identify relevant studies published up to February 2023. Stata 15.1 software was used to analyze and calculate the risk ratio (RR) and weighted mean difference (WMD). RESULTS: A total of five studies, including 833 participants, were included in this study. The SP-TPRP group is superior to the SP-EPRP group in intraoperative blood loss (WMD: - 43.92, 95% CI - 69.81, - 18.04; p = 0.001), the incidence of postoperative Clavien-Dindo grade II and above complications (RR: 0.55, 95% CI - 0.31, 0.99; p = 0.04), and postoperative continence recovery (RR: 1.23, 95% CI 1.05, 1.45; p = 0.04). Conversely, the hospitalization stays (WMD: 7.88, 95% confidence interval: 0.65, 15.1; p = 0.03) for the SP-EPRP group was shorter than that of the SP-TPRP group. However, there was no significant difference in operation time, postoperative pain score, total incidence of postoperative complications, and positive surgical margin (PSM) rates between the two groups (p > 0.05). CONCLUSIONS: This study demonstrates that both extraperitoneal and extraperitoneal SP-RARP approaches are safe and effective. SP-TPRP is superior to SP-EPRP in postoperative blood loss, the incidence of postoperative Clavien-Dindo grade II and above complications, and postoperative continence recovery, but it is accompanied by longer hospital stays.

Developing a CT-based radiomics nomogram for predicting post-acute pancreatitis diabetes mellitus incidence.

OBJECTIVE: The present study aimed to develop the utility of a nomogram based on clinical and radiomics as a tool for predicting post-acute pancreatitis diabetes mellitus (PPDM-A). METHODS: This retrospective investigation evaluated 244 patients with acute pancreatitis. Patients were randomized in a 7:3 ratio into training and validation cohorts. Radiomics feature selection was then achieved using the variance threshold, select best K, and least absolute shrinkage and selection operator methods. The area under the curve values, decision, and calibration curves have been used to determine the models' predictive value. RESULTS: The developed nomogram performed superior to the clinical model in the validation (0.815 vs 0.677, p = 0.016) and training cohorts (0.803 vs 0.683, p = 0.002). The calibration curves demonstrated that the expected and actual values were satisfactory. In contrast, decision curve analysis revealed a stronger relationship between the nomogram and net clinical value than with the distinct radiomics or clinical signature effects. CONCLUSION: In summary, the findings of this study demonstrated that establishing a predictive nomogram as a non-invasive technique may be useful in predicting the risk of PPDM-A. ADVANCES IN KNOWLEDGE: This is the first time to use a CT radiomics nomogram to predict PPDM-A. The nomogram is conducive to the personalized prediction of patients. It only needs to input the patient's information, and a simple addition operation can quantitatively obtain its risk. The resultant tool has the potential to provide new opportunities to treat or prevent PPDM-A more effectively.

Intravoxel incoherent motion diffusion-weighted MRI for predicting the efficacy of high-intensity focused ultrasound ablation for uterine fibroids.

Purpose: To evaluate the significance of magnetic resonance (MR) intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI) quantitative parameters in predicting early efficacy of high-intensity focused ultrasound (HIFU) ablation of uterine fibroids before treatment. Method: 64 patients with 89 uterine fibroids undergoing HIFU ablation (51 sufficient ablations and 38 insufficient ablations) were enrolled in the study and completed MR imaging and IVIM-DWI before treatment. The IVIM-DWI parameters, including D (diffusion coefficient), D* (pseudo-diffusion coefficient), f (perfusion fraction) and relative blood flow (rBF) were calculated. The logistic regression (LR) model was constructed to analyze the predictors of efficacy. The receiver operating characteristic (ROC) curve was drawn to assess the model's performance. A nomograph was constructed to visualize the model. Results: The D value of the sufficient ablation group (931.0(851.5-987.4) × 10-6 mm2/s) was significantly lower than that of the insufficient ablation group (1052.7(1019.6-1158.7) × 10-6 mm2/s) (p<0.001). However, differences in D*, f, and rBF values between the groups were not significant (p>0.05). The LR model was constructed with D value, fibroid position, ventral skin distance, T2WI signal intensity, and contrast enhanced degree. The area under the ROC curve, specificity, and sensitivity of the model were 0.858 (95% confidence interval: 0.781, 0.935), 0.686, and 0.947. The nomogram and calibration curves confirmed that the model had excellent performance. Conclusion: The IVIM-DWI quantitative parameters can be used to predict early effects of HIFU ablation on uterine fibroids. A high D value before treatment may indicate that the treatment will be less effective in the early stages.

Predicting the efficacy of high-intensity focused ultrasound (HIFU) ablation for uterine leiomyomas based on DTI indicators and imaging features.

PURPOSE: To predict the efficacy of high-intensity focused ultrasound (HIFU) ablation for uterine leiomyomas based on diffusion tensor imaging (DTI) indicators and imaging features. METHODS: Sixty-two patients with 85 uterine leiomyomas were consecutively enrolled in this retrospective study and underwent DTI scanning before HIFU treatment. Based on whether the non-perfused volume ratio (NPVR) was greater than 70%, all patients were assigned to sufficient ablation (NPVR ≥ 70%) or insufficient ablation (NPVR < 70%) groups. The selected DTI indicators and imaging features were incorporated to construct a combined model. The predictive performance of DTI indicators and the combined model were assessed using receiver operating characteristic (ROC) curves. RESULTS: There were 42 leiomyomas in the sufficient ablation group (NPVR ≥ 70%) and 43 leiomyomas in the insufficient ablation group (NPVR < 70%). The fractional anisotropy (FA) and relative anisotropy (RA) values were higher in the sufficient ablation group than in the insufficient ablation group (p < 0.05). Conversely, the volume ratio (VR) and mean diffusivity (MD) values were lower in the sufficient ablation group than those in the insufficient ablation group (p < 0.05). Notably, the combined model composed of the RA and enhancement degree values had high predictive efficiency, with an AUC of 0.915. The combined model demonstrated higher predictive performance than FA and MD alone (p = 0.032 and p < 0.001, respectively) but showed no significant improvement compared with RA and VR (p > 0.05). CONCLUSION: DTI indicators, especially the combined model incorporating DTI indicators and imaging features, can be a promising imaging tool to assist clinicians in predicting HIFU efficacy for uterine leiomyomas.