Evidence map›Paper›PMID 41723563›Full record

ArticleCancer imaging : the official publication of the International Cancer Imaging Society2026

From radiologic morphology to component proportion: a multicenter study on the progression and prognosis of lung adenocarcinoma with cystic airspaces.

Chenghao Fu, Chengyu Bian, Haonan Du, Yuheng Wang, Jia Zhang, Xiang Li, Lei Cao, Jian Zhu, Jun Wang

Abstract readMulticenter Study
In one paragraph

Article in Cancer imaging : the official publication of the International Cancer Imaging Society, 2026. 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
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.

  1. 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

9 authors.

Chenghao Fu *Department of Thoracic Surgery, Jiangsu Province People's Hospital, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China. laurent_fu@163.com.
Chengyu Bian *Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China.
Haonan Du *Department of Thoracic Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Yuheng Wang *Department of Thoracic Surgery, Suzhou Municipal Hospital and The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, Jiangsu, China.
Jia ZhangDepartment of Thoracic Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Xiang LiDepartment of Thoracic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Lei CaoDepartment of Oncology, Suqian First Hospital, Suqian, Jiangsu, China. BrawnyM80@163.com.
Jian ZhuGeneral Hospital of Central Theater Command of People's Liberation Army, Medical College of Wuhan University of Science and Technology, Wuhan, China. zhujian0718@163.com.
Jun WangDepartment of Thoracic Surgery, Jiangsu Province People's Hospital, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China. drwangjun@njmu.edu.cn.

Funding

Clinical Capacity Improvement Project of Jiangsu Province People's Hospital No. JSPH-MA-2021-8Jiangsu Province Graduate Research and Practice Innovation Project SJCX24_0785National Science Foundation of China 82373441
6 · The paper itself

Abstract

backgroundLung adenocarcinoma with cystic airspaces (LACA) poses clinical challenges due to its irregular morphology and uncertain biological behavior. We aimed to elucidate its progression and prognosis through radiologic morphology and component proportion.

methodsThis multicenter retrospective study included 378 patients with LACA confirmed by serial imaging and pathology. Among them, a subgroup of 86 patients with clear transformation of nodule from ground-glass opacity (GGO) to solidity was selected to identify progression phases and patterns. Clinicopathological features were compared across different progression phases and radiologic morphologies. Two imaging-based ratios -the cystic airspace-to-lesion ratio (CLR) and the solid component-to-lesion ratio (SLR)- were evaluated for their prognostic value. Kaplan-Meier curves and log-rank tests were used to analyze overall survival (OS) and recurrence-free survival (RFS).

resultsFour progression phases were identified, with higher progression phases correlating with advanced T/N stages, increased malignant features, and poorer prognosis. We discovered that LACA may originate from either pre-existing cystic airspaces or pure GGO, and identified eight distinct progression patterns. The walled and massed type showed similar progression and prognosis. Cox regression analyses identified high SLR, but not low CLR, as a significant independent risk factor for recurrence. SLR demonstrated a steady increase with progression, while CLR was low in both early and advanced phases.

conclusionThis study established a unified four-phase progression model for LACA encompassing different morphologies and delineated eight distinct progression patterns reflecting heterogeneous initiation pathways. It also highlighted SLR as a more reliable prognostic indicator than CLR. These findings provide insight into the clinical management of LACA.

Indexed as

Adenocarcinoma of LungLung NeoplasmsTomography, X-Ray ComputedAgedDisease ProgressionFemaleHumansMaleMiddle AgedPrognosisRetrospective StudiesComponent proportionLung adenocarcinoma with cystic airspaces (LACA)PrognosisProgressionRadiologic morphology

Identifiers

PMID41723563
PMCPMC13032347

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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.