Efficacy and safety of foam sclerotherapy with sodium tetradecyl sulfate as preferred sclerosant of venous malformations based on experience from a single specialist center

Arasakumar, Donald Rubakan Benedict; Pang, Calver; Evans, Nicholas; Papadopoulou, Anthie; Khalifa, Mohamed; Tsui, Janice; Hamilton, George; Brookes, Jocelyn; Lim, Chung Sim

doi:10.1016/j.jvsv.2022.10.008

Cited by 4 publications

(2 citation statements)

References 32 publications

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“… 30 Moreover, compared with other regions, pelvic and genital lesions showed a lower reduction in volume after therapy, which may be attributed to the deeper location of pelvic lesions and the reported need for multiple sclerotherapy treatments to achieve remission. 14 It is important to note that the small sample size of lesions at these sites may have introduced bias. The Puig classification of the VMs showed no significant influence on the clinical efficacy, which is consistent with findings in a previous report.…”

Section: Discussionmentioning

confidence: 99%

“…11,12 Currently, there is no consensus on the ideal sclerosing agent, with common agents including absolute ethanol, polidocanol foam, bleomycin, and foam sodium tetradecyl sulfate (STS). [13][14][15][16] While anhydrous ethanol has been considered the most effective sclerosing agent for reducing VMs volume, its use is associated with serious complications, such as bleeding and ulcers. 12 Recently, bleomycin polidocanol foam (BPF) has gained widespread acceptance in the treatment of VMs.…”

Section: Introductionmentioning

confidence: 99%

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Clinical outcomes and predictors of bleomycin polidocanol foam sclerotherapy treatment response in venous malformations

Ni,

Liu,

Fan

et al. 2024

J Int Med Res

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Objective To evaluate the safety and efficacy of bleomycin polidocanol foam (BPF) sclerotherapy for venous malformations (VMs) and analyze the associated clinical outcomes and predictors. Methods We retrospectively assessed BPF sclerotherapy outcomes in 138 patients with VMs. We analyzed pain levels, lesion volume reduction, and subjective perception of response. Logistic regression analysis was performed to identify potential predictors of treatment outcome. Additionally, we carefully monitored and recorded complications. Results There was a notable average reduction in lesion volume by 78.50% ± 15.71%. The pain numerical rating scale (NRS) score decreased from 4.17 ± 2.63 prior to treatment to 1.05 ± 1.54 afterward, and 70.3% of the patients experienced effective relief after a single BPF treatment. Multivariate analysis revealed that a high baseline NRS (odds ratio [OR]: 4.026) and elevated activated partial thromboplastin time (APTT, OR: 1.200) were positive predictors of pain reduction. Additionally, a high baseline NRS score (OR: 1.992) and elevated thrombocytocrit (PCT, OR: 2.543) were positive predictors of incomplete postoperative pain relief. Minor complications occurred in 31 (22.46%) patients. Conclusion BPF sclerotherapy is safe and effective for VMs, resulting in significant reduction in lesion volume, improved symptoms, and minimal complications. APTT and PCT levels are important predictors of pain outcomes following BPF treatment.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Clinical outcomes and predictors of bleomycin polidocanol foam sclerotherapy treatment response in venous malformations

Ni,

Liu,

Fan

et al. 2024

J Int Med Res

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Lauromacrogol foam injection under ultrasonic guidance for pediatric lip venous malformations

Jiang

Zhu

et al. 2023

Pediatr Surg Int

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MRI-based radiomics model for the preoperative prediction of classification in children with venous malformations

Jiao,

Wang,

Zhang

et al. 2024

Preprint

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Background: Venous malformations (VMs) are the most common congenital vascular anomalies. The role of radiomics in prediction of VMs digital subtraction angiography (DSA) classification is still unknown. Objective: This study aimed to explore the efficacy of MRI-based radiomics models, employing various machine learning techniques, in the preoperative prediction of the DSA classification of VMs. Materials and methods: In this retrospective study, 160 VMs lesions from 153 children patients were categorized into a training set (n=128) and a testing set (n=32). Radiomic features were extracted from preoperative MRI scans. Feature selection was executed using the intraclass correlation coefficient test, z-scores, the K-best method, and the least absolute shrinkage and selection operator. Diverse MRI sequences and machine learning methods underpinned the development of the radiomics models. The models' efficacy was evaluated using receiver operating characteristic curves and the area under the curve (AUC). Results: Out of 4528 radiomic features derived from CET1 and T2 images, 9 features were significantly associated with DSA classification differentiation. The most effective model for predicting VMs' DSA classification incorporated these 9 features and employed a random forest classifier. This model achieved an AUC of 0.917 in the training set and an excellent discrimination AUC of 0.891 in the testing set. Conclusion: The random forest model, utilizing CET1 and T2 sequences, exhibited outstanding predictive performance in the preoperative distinction of VMs' DSA classification.

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Efficacy and safety of foam sclerotherapy with sodium tetradecyl sulfate as preferred sclerosant of venous malformations based on experience from a single specialist center

Cited by 4 publications

References 32 publications

Clinical outcomes and predictors of bleomycin polidocanol foam sclerotherapy treatment response in venous malformations

Clinical outcomes and predictors of bleomycin polidocanol foam sclerotherapy treatment response in venous malformations

Lauromacrogol foam injection under ultrasonic guidance for pediatric lip venous malformations

MRI-based radiomics model for the preoperative prediction of classification in children with venous malformations

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