Evidence map›Paper›PMID 42272648›Full record

ReviewFrontiers in oncology2026

Imaging features of lung cancer with cystic airspaces: clinical utility, challenges, and perspectives.

Mengyue Hu, Jinbao Feng, Xiaonan Shao, Yunmei Shi, Jianxiong Gao, Yaoting Zhu, Yuhao Fan, Yan Sun, Zhenxing Jiang, Rong Niu and 1 more

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Frontiers in oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Mengyue HuDepartment of Nuclear Medicine, Changzhou Key Laboratory of Molecular Imaging, The Third Affiliated Hospital of Soochow University, The First People's Hospital of Changzhou, Institute of Clinical Translation of Nuclear Medicine and Molecular Imaging, Soochow University, Changzhou, China.
Jinbao FengDepartment of Nuclear Medicine, Changzhou Key Laboratory of Molecular Imaging, The Third Affiliated Hospital of Soochow University, The First People's Hospital of Changzhou, Institute of Clinical Translation of Nuclear Medicine and Molecular Imaging, Soochow University, Changzhou, China.
Xiaonan ShaoDepartment of Nuclear Medicine, Changzhou Key Laboratory of Molecular Imaging, The Third Affiliated Hospital of Soochow University, The First People's Hospital of Changzhou, Institute of Clinical Translation of Nuclear Medicine and Molecular Imaging, Soochow University, Changzhou, China.
Yunmei ShiDepartment of Nuclear Medicine, Changzhou Key Laboratory of Molecular Imaging, The Third Affiliated Hospital of Soochow University, The First People's Hospital of Changzhou, Institute of Clinical Translation of Nuclear Medicine and Molecular Imaging, Soochow University, Changzhou, China.
Jianxiong GaoDepartment of Nuclear Medicine, Changzhou Key Laboratory of Molecular Imaging, The Third Affiliated Hospital of Soochow University, The First People's Hospital of Changzhou, Institute of Clinical Translation of Nuclear Medicine and Molecular Imaging, Soochow University, Changzhou, China.
Yaoting ZhuDepartment of Nuclear Medicine, Changzhou Key Laboratory of Molecular Imaging, The Third Affiliated Hospital of Soochow University, The First People's Hospital of Changzhou, Institute of Clinical Translation of Nuclear Medicine and Molecular Imaging, Soochow University, Changzhou, China.
Yuhao FanDepartment of Nuclear Medicine, Changzhou Key Laboratory of Molecular Imaging, The Third Affiliated Hospital of Soochow University, The First People's Hospital of Changzhou, Institute of Clinical Translation of Nuclear Medicine and Molecular Imaging, Soochow University, Changzhou, China.
Yan SunDepartment of Nuclear Medicine, Changzhou Key Laboratory of Molecular Imaging, The Third Affiliated Hospital of Soochow University, The First People's Hospital of Changzhou, Institute of Clinical Translation of Nuclear Medicine and Molecular Imaging, Soochow University, Changzhou, China.
Zhenxing JiangDepartment of Radiology, The Third Affiliated Hospital of Soochow University, The First People's Hospital of Changzhou, Changzhou, China.
Rong NiuDepartment of Nuclear Medicine, Changzhou Key Laboratory of Molecular Imaging, The Third Affiliated Hospital of Soochow University, The First People's Hospital of Changzhou, Institute of Clinical Translation of Nuclear Medicine and Molecular Imaging, Soochow University, Changzhou, China.
Qianyun WangDepartment of Thoracic Surgery, The Third Affiliated Hospital of Soochow University, The First People's Hospital of Changzhou, Changzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer is a leading cause of cancer-related deaths worldwide and poses a significant health burden. Early diagnosis is critical for reducing lung cancer mortality. Lung Cancer with Cystic Airspaces (LCCA) is a distinct morphological subtype of lung cancer, characterized on imaging by cystic regions accompanied by solid components and/or ground-glass opacities. LCCA is relatively rare, with an incompletely understood pathogenesis, marked heterogeneity, and complex imaging manifestations. It accounts for approximately one-quarter of lung cancer cases that are missed or diagnosed late. With the widespread implementation of lung cancer screening, the detection rate of LCCA is increasing and has drawn growing attention. However, current research is limited by small sample sizes and predominantly retrospective study designs, posing significant clinical challenges in LCCA management. This article reviews the definition and underlying mechanisms of LCCA, systematically summarizes the clinical value of noninvasive imaging in diagnosis, classification, invasiveness prediction, staging, and prognosis assessment of LCCA, and discusses the limitations of existing studies as well as future research directions and challenges. The goal is to provide a theoretical basis for optimizing early lung cancer screening pathways and developing individualized intervention strategies, which holds important clinical significance for reducing lung cancer-related mortality.

Indexed as

computed tomographycystic airspaceslung cancer associated with cystic airspaceslung neoplasmpositron emission tomography - computed tomography

Identifiers

PMID42272648
PMCPMC13246341

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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.