Evidence map›Paper›PMID 40400974›Full record

ArticleJournal of thoracic disease2025

Computed tomography-guided percutaneous biopsy for diagnosing pulmonary nodules: a prospective, multicenter observational study.

Yun Liu, Ling Zhao, Hua-Long Yu, Wei Zhao, Dong Li, Guo-Dong Li, Hao Wang, Bin Huo, Qi-Ming Huang, Bai-Wu Liang and 7 more

Abstract read
In one paragraph

Article in Journal of thoracic disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Review
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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

17 authors.

Yun Liu *Department of Cancer Center, Daping Hospital, 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 Computer Tomograph, 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 Traditional Chinese Medicine 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 Liu *Department 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 the Army Medical University, Chongqing, China.
Jun-Ru XiongDepartment of Nuclear Medicine (Treatment Center of Minimally Invasive Intervention and Radioactive Particles), First Affiliated Hospital of the Army Medical University, Chongqing, China.
Xue-Quan HuangDepartment of Nuclear Medicine (Treatment Center of Minimally Invasive Intervention and Radioactive Particles), First Affiliated Hospital of the Army Medical University, Chongqing, China.
Chuang HeDepartment of Nuclear Medicine (Treatment Center of Minimally Invasive Intervention and Radioactive Particles), First Affiliated Hospital of the Army Medical University, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Pulmonary nodules are common radiological findings, and accurate diagnosis is essential for patient management and prognosis. Computed tomography (CT)-guided percutaneous biopsy (CTPB) is a minimally invasive and accessible diagnostic method, but its accuracy requires further evaluation. This study assessed the accuracy of CTPBs for diagnosing pulmonary nodules. Methods: This study involved 591 patients from ten medical centers in China who were prospectively enrolled between April 2021 and April 2022. The primary outcome was the consistency between biopsy pathology results and final clinical diagnosis, while secondary outcomes included the incidence of biopsy-related complications. The data were analyzed via logistic regression and the receiver operating characteristic (ROC) curves. Results: The 591 patients included in this study had an average age of 59.29±11.22 years, and 50.6% were male. The nodules were categorized as pure ground-glass nodules (10.2%), part-solid nodules (32.0%), and solid nodules (57.9%). The diagnostic accuracy of CTPB for pulmonary nodules was 95.10% (specificity: 100%, sensitivity: 92.79%), the positive predictive value was 100%, and the negative predictive value was 86.76%. Multivariate logistic regression revealed that solid nodules (P<0.001), subsolid nodules [consolidation-to-tumor ratio (CTR) >50%, P=0.001], semiautomatic (tru-cut) needles (P=0.02), number of cuts (P=0.01), intermediate (P=0.006) and peripheral nodules (P=0.02) significantly impacted the diagnostic accuracy of lung nodule biopsy. These factors had predictive value in determining the accuracy of pulmonary nodule biopsy diagnosis (area under the ROC curve: 0.812). The incidence of pneumothorax was 13%, and the incidence of high-grade pulmonary hemorrhage was 27.1%, which did not affect the diagnostic accuracy, while other complications, such as hemopneumothorax (3.6%), pleural reaction (0.7%), and air embolism (0.2%), were rare. Conclusions: In real-world settings, CTPB diagnoses pulmonary nodules with high accuracy. Improving diagnostic accuracy and reducing the incidence of common complications, such as pneumothorax and pulmonary hemorrhage, are crucial for the widespread application of this technique as a diagnostic tool.

Indexed as

biopsyComputed tomography-guided (CT-guided)pulmonary nodule

Identifiers

PMID40400974
PMCPMC12090130

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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.