Evidence map›Paper›PMID 38143336›Full record

ArticleCancer biomarkers : section A of Disease markers2025

A clinical spectrum of resectable lung adenocarcinoma with micropapillary component (MPC) concurrently presenting as mixed ground-glass opacity nodules.

Ziwen Zhu, Weizhen Jiang, Danhong Zhou, Weidong Zhu, Cheng Chen

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Article in Cancer biomarkers : section A of Disease markers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Ziwen ZhuDepartment of Respiratory and Critical Medicine, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Weizhen JiangDepartment of Respiratory and Critical Medicine, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Danhong ZhouDepartment of Respiratory and Critical Medicine, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Weidong ZhuPathology Department, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Cheng ChenDepartment of Respiratory and Critical Medicine, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
First Affiliated Hospital of Soochow University · CNSoochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BackgroundIn clinical practice, preoperative identification of mixed ground-glass opacity (mGGO) nodules with micropapillary component (MPC) to facilitate the implementation of individualized therapeutic strategies and avoid unnecessary surgery is increasingly importantObjectiveThis study aimed to build a predictive model based on clinical and radiological variables for the early identification of MPC in lung adenocarcinoma presenting as mGGO nodules.MethodsThe enrolled 741 lung adenocarcinoma patients were randomly divided into a training cohort and a validation cohort (3:1 ratio). The pathological specimens and preoperative images of malignant mGGO nodules from the study subjects were retrospectively reviewed. Furthermore, in the training cohort, selected clinical and radiological variables were utilized to construct a predictive model for MPC prediction.ResultsThe MPC was found in 228 (43.3%) patients in the training cohort and 72 (41.1%) patients in the validation cohort. Based on the predictive nomogram, the air bronchogram was defined as the most dominant independent risk factor for MPC of mGGO nodules, followed by the maximum computed tomography (CT) value (

Indexed as

Adenocarcinoma of LungLung NeoplasmsAdultAgedFemaleHumansMaleMiddle AgedNomogramsRetrospective StudiesTomography, X-Ray Computedlung adenocarcinomamicropapillary component (MPC)Mixed ground-glass opacity (mGGO)nomogrampredictive model

Identifiers

PMID38143336
PMCPMC12288375
OpenAlexW4389938144

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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.