Evidence map›Paper›PMID 41905780›Full record

ArticleTherapeutic advances in respiratory disease

Discriminating nodular pulmonary alveolar proteinosis from lung adenocarcinoma with radiomic model and multimodal model.

Qing Chang, Huaizhe Zhang, Ning Xu, Ruolin Mao, Mengnan Li, Hai Zhang, Yuqing Chen, Jianqi Sun, Feng Li

Abstract read
In one paragraph

Article in Therapeutic advances in respiratory disease. 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

9 authors.

Qing ChangDepartment of Pulmonary and Critical Care Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, P.R. China.ORCID 0000-0002-6199-1157
Huaizhe ZhangSchool of Biomedical Engineering, Shanghai Jiao Tong University, Minhang, Shanghai, P.R. China.
Ning XuDepartment of Pulmonary and Critical Care Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, P.R. China.
Ruolin MaoDepartment of Pulmonary and Critical Care Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, P.R. China.
Mengnan LiDepartment of Pulmonary and Critical Care Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, P.R. China.
Hai ZhangDepartment of Pulmonary and Critical Care Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, P.R. China.
Yuqing ChenDepartment of Pulmonary and Critical Care Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, P.R. China.
Jianqi SunSchool of Biomedical Engineering, Shanghai Jiao Tong University, No. 800, Dongchuan Road, Minhang, Shanghai 200240, P.R. China.
Feng LiDepartment of Pulmonary Medicine and Critical Care, Shanghai Chest Hospital, School of Medicine, Shanghai Jiao Tong University, No. 241, West Huaihai Road, Shanghai 200030, P.R. China.ORCID 0000-0002-0646-6560

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPulmonary alveolar proteinosis (PAP) typically manifests as diffuse lung disease, while nodular PAP presenting as pulmonary nodules is extremely rare and often radiologically indistinguishable from early-stage lung adenocarcinoma (LUAD).

objectivesThis study aims to establish an accurate diagnostic algorithm to prevent unnecessary invasive procedures in patients with nodular PAP.

designThis study was a retrospective, single-center study.

methodsThis study enrolled 16 pathologically confirmed nodular PAP patients and 52 early-stage LUAD patients, systematically comparing their clinical characteristics and biochemical markers. A radiomics model was developed based on CT imaging features, followed by a multimodal model incorporating significant clinical and biochemical discriminators.

resultsThe nodular PAP cohort demonstrated a 3:5 male-to-female ratio, equivalent distribution of solitary versus multiple nodules, and nodule diameters spanning 3-28 mm. Nodular PAP patients were significantly younger (mean 51.4 vs 67.0 years,

conclusionThis study provides the characterization of nodular PAP and establishes radiomic and multimodal diagnostic models with similar accuracy, which are reliable tools to make a differential diagnosis between nodular PAP and LUAD and to prevent unnecessary surgery.

Indexed as

Adenocarcinoma of LungLung NeoplasmsPulmonary Alveolar ProteinosisSolitary Pulmonary NoduleTomography, X-Ray ComputedAdultAgedAlgorithmsDiagnosis, DifferentialFemaleHumansL-Lactate DehydrogenaseMaleMiddle AgedPredictive Value of TestsRadiomicsL-Lactate Dehydrogenaselung adenocarcinomamultimodal modelpulmonary alveolar proteinosispulmonary nodulesradiomic model

Identifiers

PMID41905780
PMCPMC13033878

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.