[Progress in Image-planned and Real-time Image-guided Lung Cancer Biopsy  in the Detection of Biomarkers].

Gengshen Bai, Bingyin Zhu, Jun Ma, Yongchun Li, Gang Huang, Yaqiong Ma

Open access · greenAbstract readReviewEnglish Abstract

In one paragraph

Review in Zhongguo fei ai za zhi = Chinese journal of lung cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing papers in PubMed

–field-weighted citation impact, top 73% 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

1 citing paper in PubMed, 0 citations in OpenAlex.

Habitat model based on CEUS for noninvasive prediction of EGFR mutation status in peripheral NSCLC.BMC cancer · 2026
Article

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

6 authors at 1 institution in 1 country.

Gengshen BaiDepartment of Interventional, Baiyin Second People's Hospital, Baiyin 730900, China.

Bingyin ZhuDepartment of Radiology, Gansu Provincial Hospital, Lanzhou 730030, China.

Jun MaDepartment of Radiology, Gansu Provincial Hospital, Lanzhou 730030, China.

Yongchun LiDepartment of Radiology, Gansu Provincial Hospital, Lanzhou 730030, China.

Gang HuangDepartment of Radiology, Gansu Provincial Hospital, Lanzhou 730030, China.

Yaqiong MaDepartment of Radiology, Gansu Provincial Hospital, Lanzhou 730030, China.

Gansu Provincial Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the progress of targeted therapy and immunotherapy for lung cancer, the clinical demand for lung biopsy is increasing. An ideal biopsy specimen can be used not only for histopathological diagnosis, but also for biomarker detection. The ideal biopsy specimen should meet two requirements, including more than 60 mm2 of tumor tissue and containing more than 20% of tumor cells. In order to obtain ideal lung cancer biopsy specimens, advanced imaging techniques are needed to help. In this article, we reviewed the requirements for biopsy specimens based on biomarker detection, as well as the current status and research progress of using imaging techniques for preoperative planning and intraoperative real time guidance of lung cancer biopsy. .

Indexed as

Lung NeoplasmsBiomarkersBiopsyHumansImmunotherapyBiomarkersBiomarker detectionBiopsyImageLung neoplasms

Identifiers

PMID37752543

DOI10.3779/j.issn.1009-3419.2023.106.15

PMCPMC10558762

OpenAlexW4387078285

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LicenceCC BY

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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.