Literature DB >> 34269298

Preoperative computed tomographic-guided percutaneous coil localization of pulmonary nodules: 184 Cases in Single-center.

Xujian Han1, Zhenjia Li2, Hui Gu3, Honglu Shi2, Weitao Dou2, Ximing Wang4.   

Abstract

OBJECTIVES: The aim of this study was to evaluate the feasibility, accuracy, and safety of computed tomographic (CT)-guided coil localization before video-assisted thoracoscopic surgery.
METHODS: One hundred and eighty-four consecutive patients with 200 pulmonary nodules who underwent CT-guided percutaneous coil localization before thoracoscopic surgery were retrospectively analyzed in this study. Success rate for localization, complication rates, CT findings, and pathological results of the lesions, as well as the data related to surgery were all recorded and analyzed.
RESULTS: All 184 patients with 200 lesions completed localization and resection. The success rate of the coil localization on lesion baseline was 99.0% (198/200) and 98.9% (182/184) on patient baseline. The number of wedge resection, segmental resection, and lobectomy were 179 (89.5%), 19 (9.5%), and 2 (1.0%), respectively. The malignancy rates in a lesion-based analysis were 83.5% (91.1% in ground-glass nodules, 91.4% in part-solid nodules, and 37.9% in solid nodules). No serious complications occurred in all localization procedures.
CONCLUSION: Preoperative CT-guided percutaneous coil localization is a safe and effective method to facilitate high success rates for both wedge and segmental resection for peripheral pulmonary nodules.

Entities:  

Keywords:  Coil; computed tomographic-guided; localization; pulmonary nodule; video-assisted thoracoscopic surgery

Mesh:

Year:  2021        PMID: 34269298     DOI: 10.4103/jcrt.JCRT_1736_20

Source DB:  PubMed          Journal:  J Cancer Res Ther        ISSN: 1998-4138            Impact factor:   1.805


  1 in total

1.  3D localization based on anatomical LANDmarks in the treatment of pulmonary nodules.

Authors:  Dazhi Pang; Guangqiang Shao; Jitian Zhang; Jinglong Li; Hongxia Wang; Taiyang Liuru; Zhihai Liu; Yanan Liang
Journal:  J Thorac Dis       Date:  2022-09       Impact factor: 3.005

  1 in total

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