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Purpose: The purpose of this study is to evaluate treatment outcomes in patients with symptomatic deep vein thrombosis (DVT) who had undergone a catheter-directed thrombolysis with conventional aspiration thrombectomy for the treatment of lower extremity deep vein thrombosis. Materials and Methods: The authors retrospectively reviewed the records of 74 patients (mean age 61 ± 15) that underwent a catheter-directed thrombolysis with conventional aspiration thrombectomy. A retrieval inferior vena cava (IVC) filter was placed to protect against a pulmonary embolism in 60 patients (81%). Stenting and balloon angioplasty were performed in 37 patients (50%)under the left common iliac vein compression. Results: Sixty-seven patients (91%) showed a clinical improvement within 48 hours, but seven patients (9%) showed no improvement. Multi detector computerized tomographic venography (MDCT venography) at discharge showed no thrombus in 15 patients (20%) and partial thrombus in 52(70%). Twenty-eight patients (38%) developed post-thrombotic syndrome at 3.0 ± 4.2 months postoperatively. Six patients (8%) were admitted due to DVT recurrence at a mean of 5.6 ± 7.4 months postoperatively. Sixty-nine patients underwent follow up MDCT venography at 5.7 ± 5.6 months. fifty (72%) of these showed no thrombus, 15(22%) partial thrombus, and 4 (6%) showed obstruction. Twentyeight of 61 (46%) were asymptomatic, twentyeight (46%) had moderate improvement, and four (6%) were mildly improved by a telephone interview (81%) at 22.8 ±10.7 months postoperatively. Conclusion: Catheter-directed thrombolysis with conventional aspiration thrombectomy is an effective treatment for lower extremity deep vein thrombosis and produces satisfactory clinical results.
There are many cases in which the measurement noise have significant effects on the model construction. So in general, it is difficult to identify exactly the physically meaningful structure between the raw input and the raw output variables. In this paper, a revised GMDH(group method of data handling) algorithm, which can identify the model by using exponential smoothing filter and AIC(Akaikes's information criterion), is developed. Especially, AIC is effective criterion under white noise. The revised GMDH algorithm with exponential smoothing filter and AIC is applied to the roll gap adjustment model identification.