Early Morphological Changes in Superficial Varicose Veins After Endovenous Radiofrequency Ablation
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Updated: Oct 30, 2026

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Published on: August 1, 2025
Ercan Keles1, Zeynep Ayvat Ocal2
1Department of Cardiovascular Surgery, Izmir Bakircay University, Cigli Training and Research Hospital, Izmir, Türkiye.
Objectives:
To quantify early changes in untreated varicose tributaries and treated saphenous veins after isolated radiofrequency ablation (RFA) and to assess 3-month technical outcomes.
Methods:
This retrospective cohort included 133 patients undergoing RFA of the great saphenous vein (GSV; n=120) or small saphenous vein (SSV; n=13). The primary outcome was within-patient change in the largest untreated varicose tributary diameter from baseline to approximately 3 months. The same radiologist reassessed the anatomically documented site. We used paired analyses, bootstrap confidence intervals, and multivariable analysis of covariance with robust standard errors.
Results:
Median tributary diameter decreased from 14.2 mm (IQR, 10.5-21.0) to 11.0 mm (IQR, 7.4-14.2). The median within-patient reduction was 3.0 mm (IQR, 0.9-5.8; 95% bootstrap CI, 2.2-3.7; p<0.001). Completion DUS confirmed closure of the proximal treated saphenous segment and patency of the adjacent deep vein in all patients. At approximately 3 months, complete occlusion was present in 99 of 120 GSVs (82.5%) and all 13 SSVs. The remaining 21 GSVs had short-segment partial recanalization with residual reflux near the saphenofemoral junction; none had complete recanalization. In an exploratory adjusted analysis, diabetes mellitus was associated with a 1.15-mm larger 3-month GSV diameter (95% CI, 0.23-2.07; p=0.015).
Conclusions:
Isolated RFA was associated with an early reduction in untreated varicose tributary diameter. These anatomical findings suggest that reassessment before adjunctive tributary treatment may be reasonable; however, clinical benefit cannot be inferred without patient-reported outcomes. The association between diabetes and 3-month GSV diameter is hypothesis-generating.
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