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A simple and efficient method to perform preoperative pulmonary nodule localization: CT-guided patent blue dye injection.

Authors :
Ko KH
Huang TW
Lee SC
Chang WC
Gao HW
Hsu HH
Source :
Clinical imaging [Clin Imaging] 2019 Nov - Dec; Vol. 58, pp. 74-79. Date of Electronic Publication: 2019 Jun 27.
Publication Year :
2019

Abstract

Objective: To assess the efficacy of computed tomography (CT)-guided localization with the injection of a low dose of patent blue dye (PBD) for the thoracoscopic resection of pulmonary nodules.<br />Materials and Methods: Overall, 125 consecutive patients underwent CT-guided localization with injection of a lower dose of PBD between June 2015 and June 2016. The total injection dose relative to the distance between nodules and the visceral pleura was recorded. The clinical and radiological characteristics, technical details, pathological results and procedure-related complications were reviewed.<br />Results: A total of 137 indeterminate pulmonary nodules were identified. The mean nodule size was 9.5 (3.0-22.0) mm. The mean injection dose of PBD relative to the distance between nodules and the visceral pleura was classified as follows: 0.07 ml: <1 cm, 0.1 ml: 1-2 cm and 0.18 ml: >2 cm. The mean time of CT-guided localization was 16.5 (10-50) min. The mean time interval from localization to surgery was 188 (24-1440) min. Pneumothorax developed in 50 patients (40%), and focal parenchymal hemorrhage occurred in 16 patients (12.8%) after localization. No patient required chest tube placement or emergent resuscitation. The success rate of dye marking was 98.5% (135/137). Malignancies, including 82 lung cancers, were diagnosed in 97 nodules (70.8%).<br />Conclusion: The injection of a lower dose PBD based on the distance to the visceral pleura can be successful with nodular localization and may facilitate thoracoscopic surgery, even in cases with a long interval from localization to surgery.<br /> (Copyright © 2019 Elsevier Inc. All rights reserved.)

Details

Language :
English
ISSN :
1873-4499
Volume :
58
Database :
MEDLINE
Journal :
Clinical imaging
Publication Type :
Academic Journal
Accession number :
31279987
Full Text :
https://doi.org/10.1016/j.clinimag.2019.06.015