Computed Tomography (CT)-Guided Percutaneous Thoracic Sympathetic Chain Radiofrequency Thermocoagulation for Raynaud Disease

BACKGROUND We introduce a minimally invasive technique for the treatment of Raynaud disease - CT-guided percutaneous thoracic sympathetic chain radiofrequency thermocoagulation. MATERIAL AND METHODS Under CT guidance, the radiofrequency needle was punctured from the upper edge of the costotransverse...

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Veröffentlicht in:Medical science monitor 2019-10, Vol.25, p.7391-7395
Hauptverfasser: Huang, Hao, Qiu, Weidong, Chen, Qunshan, Sun, Kai, Huang, Bing
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Sprache:eng
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Zusammenfassung:BACKGROUND We introduce a minimally invasive technique for the treatment of Raynaud disease - CT-guided percutaneous thoracic sympathetic chain radiofrequency thermocoagulation. MATERIAL AND METHODS Under CT guidance, the radiofrequency needle was punctured from the upper edge of the costotransverse joint to the anterior superior edge of the 4th capitulum costae and the lateral parietal pleura. After sensorial (1.5 mA, 50 Hz) and motorial (1.5 mA, 2Hz) testing to determine that there was no nerve innervation zone with muscle numbness and twitches, radiofrequency coagulation was set at 95°C for 300 s. RESULTS A total of 17 patients were enrolled in the treatment group. All the patients underwent CT-guided percutaneous thoracic sympathetic chain puncture of the needles to the upper edge of the 4th capitulum costae on both sides. The perfusion index (PI) of the fingers began to rise 30 s after radiofrequency thermocoagulation, and the palm temperature (T) began to rise after 90 s. At the end of treatment, PI increased by an average of 4.6-fold, and the T average rose by 3.6°C. Postoperative cold-water stimulation testing could no longer induce Raynaud disease. Follow-up was conducted for 1 to 15 months. Two patients were found to have recurrence at 9 months and 13 months, respectively. CONCLUSIONS CT-guided percutaneous thoracic sympathetic nerve chain radiofrequency coagulation can effectively treat Raynaud disease.
ISSN:1643-3750
1643-3750
DOI:10.12659/MSM.917392