Evidence map›Paper›PMID 33512788›Full record

ArticleThoracic cancer2021

A novel technique for preoperative localization of pulmonary nodules using a mixture of tissue adhesive and iohexol under computed tomography guidance: A 140 patient single-center study.

Bingyu Zhang, Muyun Peng, Fenglei Yu, Xilong Mei, Jingqun Tang, Xiang Wang, Wenliang Liu, Chen Chen, Xiaofeng Chen

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Article in Thoracic cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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7citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Bingyu ZhangDepartment of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, China.ORCID 0000-0003-2539-4571
Muyun PengDepartment of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, China.ORCID 0000-0002-8346-7479
Fenglei YuDepartment of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, China.ORCID 0000-0003-3409-065X
Xilong MeiDepartment of Radiology, The Second Xiangya Hospital of Central South University, Changsha, China.
Jingqun TangDepartment of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, China.
Xiang WangDepartment of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, China.ORCID 0000-0002-5211-7206
Wenliang LiuDepartment of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, China.ORCID 0000-0003-4202-8637
Chen ChenDepartment of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, China.ORCID 0000-0003-4569-6032
Xiaofeng ChenHunan Key Laboratory of Early Diagnosis and Precise Treatment of Lung Cancer, The Second Xiangya Hospital of Central South University, Changsha, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe increase in the incidence of pulmonary nodules has made computed tomography (CT) screening a requirement for diagnosis and treatment. Small pulmonary nodule detection during video-assisted thoracoscopic surgery (VATS) or thoracotomy is frequently challenging; however, accurate and efficient localization of nodules is critical for precise resection. Herein, we introduce and evaluate the feasibility and safety of a novel technique for preoperative pulmonary nodule localization.

methodsFrom March 2018 to December 2019, 140 patients with 153 pulmonary nodules measuring <2 cm in diameter were enrolled in this study. Preoperative, CT-guided localization was performed on each nodule with an injected mixture of tissue adhesive and iohexol. Patient and nodule characteristics, localization data, complications, surgical data, and pathological results were analyzed.

resultsAll 153 nodules in 140 patients were successfully marked preoperatively and detected during surgery (n = 153/153). Mean nodule size was 8.7 ± 2.6 mm, and mean distance from nodule to pleura was 7.9 ± 8.2 mm. The mean procedural time was 8.7 ± 1.0 min. Nine patients (6.4%) underwent two simultaneous nodule localizations and two patients (1.4%) underwent three simultaneous nodule localizations. Pneumothorax (17/140, 12.1%), pain (6/140, 4.3%), and pungent odor (5/140, 3.6%) were the major complications. No patient required further treatment, and no allergic reactions or embolisms were observed.

conclusionsPreoperative CT-guided nodule localization using a mixture of tissue adhesive and iohexol is an efficient technique for localizing small and impalpable pulmonary lesions, including multiple pulmonary nodules. Our study demonstrates that this novel method is safe and straightforward to implement.

Indexed as

AdultAgedFemaleHumansIohexolMaleMiddle AgedMultiple Pulmonary NodulesPreoperative PeriodTissue AdhesivesTomography, X-Ray ComputedIohexolTissue AdhesivesComputed tomographylocalizationpulmonary nodulestissue adhesive

Identifiers

PMID33512788
PMCPMC7952802

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.