Evidence map›Paper›PMID 38223129›Full record

ArticleQuantitative imaging in medicine and surgery2024

Pneumothorax after percutaneous CT-guided lung nodule biopsy: a prospective, multicenter study.

Chuang He, Ling Zhao, Hua-Long Yu, Wei Zhao, Dong Li, Guo-Dong Li, Hao Wang, Bin Huo, Qi-Ming Huang, Bai-Wu Liang and 6 more

Open access · diamondAbstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
3.9field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors at 8 institutions in 1 country.

Chuang He *Department of Nuclear Medicine (Treatment Center of Minimally Invasive Intervention and Radioactive Particles), First Affiliated Hospital of Army Medical University, Chongqing, China.
Ling Zhao *Department of Minimally Invasive Interventional Medicine, Yunnan Cancer Hospital, Kunming, China.
Hua-Long Yu *Department of Radiology, Affiliated Hospital of Qingdao University, Qingdao, China.
Wei Zhao *Department of Computed Tomography, Baoshan People's Hospital, Baoshan, China.
Dong LiTreatment Center of Imaging Minimally Invasive, Beijing Jingxi Cancer Hospital, Beijing, China.
Guo-Dong LiDepartment of Thoracic Surgery, Shanghai Cancer Center of Fudan University, Shanghai, China.
Hao WangDepartment of Interventional, Affiliated Zhongshan Hospital of Dalian University, Dalian, China.
Bin HuoDepartment of Oncology, The Second Hospital of Tianjin Medical University, Tianjin, China.
Qi-Ming HuangDepartment of Radiology, Second Affiliated Hospital of Fujian Medical University, Quanzhou, China.
Bai-Wu LiangDepartment of Oncology, Dazhou Integrated TCM and Western Medicine Hospital, Dazhou, China.
Rong DingDepartment of Minimally Invasive Interventional Medicine, Yunnan Cancer Hospital, Kunming, China.
Zhe WangDepartment of Medical Oncology, Affiliated Zhongshan Hospital of Dalian University, Dalian, China.
Chen LiuDepartment of Interventional Therapy, Beijing Cancer Hospital, Beijing, China.
Liang-Yu DengDepartment of Nuclear Medicine (Treatment Center of Minimally Invasive Intervention and Radioactive Particles), First Affiliated Hospital of Army Medical University, Chongqing, China.
Jun-Ru XiongDepartment of Nuclear Medicine (Treatment Center of Minimally Invasive Intervention and Radioactive Particles), First Affiliated Hospital of Army Medical University, Chongqing, China.
Xue-Quan HuangDepartment of Nuclear Medicine (Treatment Center of Minimally Invasive Intervention and Radioactive Particles), First Affiliated Hospital of Army Medical University, Chongqing, China.
Southwest Hospital · CNArmy Medical University · CNAffiliated Hospital of Qingdao University · CNAffiliated Zhongshan Hospital of Dalian University · CNBaoshan College · CNFudan University Shanghai Cancer Center · CNFujian Medical University · CNSecond Hospital of Tianjin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Pneumothorax is a common complication induced by computed tomography (CT)-guided percutaneous needle biopsy, with a frequency of 17-40.4%. It remains debatable how to predict and prevent the occurrence of post-biopsy pneumothorax. In a real-world setting, we investigated the characteristics associated with pneumothorax in primary lung nodule biopsy. Methods: This clinical registry cohort study recorded patients with newly diagnosed pulmonary nodules from 10 medical centers from April 2021 to April 2022, and the data were input into the electronic data capture (EDC) system. The eligibility criteria for participants included being within the age range of 18 to 80 years and expressing a willingness to undergo percutaneous puncture biopsy, among other requirements. Conversely, the exclusion criteria included an inability to cooperate throughout the biopsy process and the emergence of new health issues during the study duration resulting in attendance delays, among other factors. This study collected data from 924 patients, out of which 593 were included after exclusion. The essential characteristics, imaging features of pulmonary nodules, and technical factors associated with percutaneous biopsy were recorded. Results: The overall incidence of pneumothorax was 13.0% (77/593), among which timely pneumothorax was 10.3% (61/593), delayed pneumothorax was 2.7% (16/593), and the rate of chest tube placement was 3.4% (20/593). There was no significant difference in the incidence of pneumothorax in a needle size range of 16-19 G (P=0.129), but the incidence of pneumothorax was lower with 17 G needles than with 18 G. An increased morbidity of pneumothorax was correlated with age (P=0.003), emphysema (P=0.006), and operation time (P=0.002). There was no significant increase in the incidence of pneumothorax between 1 or 2 passes through the pleura (P=0.062). However, multiple pleural passes (3 times) increased the chances of pneumothorax significantly (P=0.022). These risk factors have a certain clinical value in predicting the incidence of post-biopsy pneumothorax, and the area under the curve (AUC) was 0.749. Conclusions: The most common post-biopsy complication, pneumothorax, was managed conservatively in most cases. A maximum of two pleural passes does not increase the incidence of pneumothorax, and the 17 G needle is more suitable for percutaneous biopsy of pulmonary nodules in the real world.

Indexed as

biopsycomputed tomography (CT)-guidedLung nodulepneumothorax

Identifiers

PMID38223129
PMCPMC10784109
OpenAlexW4390428805

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.