Evidence map›Paper›PMID 42279321›Full record

ArticleCancers2026

Development of a Radiologic Nomogram to Predict Invasiveness in Pulmonary Pure Ground-Glass Opacities: Analysis of the GORDON Cohort.

Chiara Catelli, Susanna Guerrini, Miriana D'Alessandro, Sofia Lo Conte, Maria Antonietta Mazzei, Alfonso Fiorelli, Lorenzo Rosso, Mario Nosotti, Giuseppe Marulli, Andrea Dell'Amore and 15 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cancers, 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
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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

25 authors.

Chiara CatelliThoracic Surgery and Lung Transplant Unit, Department of Medicine, Surgery and Neurosciences, Azienda Ospedaliero-Universitaria Senese, University of Siena, 53100 Siena, Italy.
Susanna GuerriniDiagnostic Imaging Unit, Department of Medicine, Surgery and Neurosciences, Azienda Ospedaliero-Universitaria Senese, University of Siena, 53100 Siena, Italy.ORCID 0000-0001-7875-3342
Miriana D'AlessandroDepartment of Life Sciences, Health and Healthcare Professions, Link Campus University, 00165 Rome, Italy.ORCID 0000-0002-2368-5722
Sofia Lo ConteUnit of Diagnostic and Therapeutic Neuroradiology, Department of Neurology and Human Movement Sciences, Azienda Ospedaliero-Universitaria Senese, 53100 Siena, Italy.ORCID 0009-0001-5807-0664
Maria Antonietta MazzeiDiagnostic Imaging Unit, Department of Medicine, Surgery and Neurosciences, Azienda Ospedaliero-Universitaria Senese, University of Siena, 53100 Siena, Italy.ORCID 0000-0001-6778-6894
Alfonso FiorelliThoracic Surgery Unit, University of Campania Luigi Vanvitelli, 81100 Naples, Italy.ORCID 0000-0002-0628-613X
Lorenzo RossoThoracic Surgery and Lung Transplant Unit, Fondazione IRCCS Ca' Granda-Ospedale Maggiore Policlinico, Department of Pathophysiology and Transplantation, University of Milan, 20122 Milan, Italy.ORCID 0000-0002-9809-7140
Mario NosottiThoracic Surgery and Lung Transplant Unit, Fondazione IRCCS Ca' Granda-Ospedale Maggiore Policlinico, Department of Pathophysiology and Transplantation, University of Milan, 20122 Milan, Italy.ORCID 0000-0002-8571-121X
Giuseppe MarulliDepartment of Biomedical Sciences, Humanitas University, 20089 Milan, Italy.
Andrea Dell'AmoreDivision of Thoracic Surgery, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padua, 35128 Padua, Italy.ORCID 0000-0002-1384-7441
Stefano MargaritoraDepartment of Thoracic Surgery, Fondazione Policlinico Universitario A. Gemelli-IRCCS, Università Cattolica del Sacro Cuore, 00168 Rome, Italy.
Beatrice LeonardiThoracic Surgery Unit, University of Campania Luigi Vanvitelli, 81100 Naples, Italy.ORCID 0000-0002-5595-6849
Debora BrasciaDepartment of Biomedical Sciences, Humanitas University, 20089 Milan, Italy.ORCID 0000-0003-0860-1647
Federico ReaDivision of Thoracic Surgery, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padua, 35128 Padua, Italy.
Andrea Lloret MadridThoracic Surgery and Lung Transplant Unit, Department of Medicine, Surgery and Neurosciences, Azienda Ospedaliero-Universitaria Senese, University of Siena, 53100 Siena, Italy.
Chiara GiraudoUnit of Advanced Clinical and Translational Imaging, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padua, 35128 Padua, Italy.ORCID 0000-0003-0924-5883
Rossella RealeDepartment of Thoracic Surgery, Azienda Ospedaliera-Universitaria Sant'Anna, 44124 Ferrara, Italy.ORCID 0009-0000-4371-2364
Giampiero DolciDepartment of Thoracic Surgery, Azienda Ospedaliera-Universitaria Sant'Anna, 44124 Ferrara, Italy.ORCID 0000-0001-6053-3608
Vincenzo AmbrogiUnit of Thoracic Surgery, Department of Surgical Sciences, Tor Vergata University Polyclinic, 00133 Rome, Italy.
Federico MathieuThoracic Surgery and Lung Transplant Unit, Department of Medicine, Surgery and Neurosciences, Azienda Ospedaliero-Universitaria Senese, University of Siena, 53100 Siena, Italy.ORCID 0000-0001-5429-5869
Alexandro PatirelisUnit of Thoracic Surgery, Department of Surgical Sciences, Tor Vergata University Polyclinic, 00133 Rome, Italy.ORCID 0009-0009-7409-8470
Maria Teresa CongedoDepartment of Thoracic Surgery, Fondazione Policlinico Universitario A. Gemelli-IRCCS, Università Cattolica del Sacro Cuore, 00168 Rome, Italy.ORCID 0000-0001-5563-0331
Filippo LococoDepartment of Thoracic Surgery, Fondazione Policlinico Universitario A. Gemelli-IRCCS, Università Cattolica del Sacro Cuore, 00168 Rome, Italy.
Luca LuzziThoracic Surgery and Lung Transplant Unit, Department of Medicine, Surgery and Neurosciences, Azienda Ospedaliero-Universitaria Senese, University of Siena, 53100 Siena, Italy.
The Gordon Study

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMost predictive models for assessing the invasiveness of pure ground-glass nodules (pGGOs) have been developed in Asian populations, which may limit their applicability to Western cohorts. As the detection of pGGOs continues to increase, there is a growing need for reliable, population-specific tools to support preoperative decision-making.

methodsThis multicenter retrospective study analyzed patients from the GORDON database who underwent surgical resection for pGGOs < 40 mm between January 2013 and June 2024. Radiologic features were assessed using preoperative high-resolution and contrast-enhanced CT scans. Univariate and multivariable logistic regression analyses were performed to identify independent predictors of invasive adenocarcinoma (IAC). A radiologic nomogram was developed and internally validated using a training (80%) and validation (20%) cohort.

resultsA total of 490 pGGOs were included, of which 421 (85.9%) were IAC and 69 (14.1%) noninvasive (Adenocarcinoma in Situ or Minimally Invasive Adenocarcinoma). Upon multivariable analysis, maximum radiologic diameter (adjusted odds ratio [aOR] = 1.09,

conclusionsA radiologic nomogram based on routinely available CT features enables accurate estimation of invasive adenocarcinoma risk in pGGOs. By integrating parameters beyond lesion size, this tool supports personalized management and may improve preoperative decision-making.

Indexed as

computed tomographyground-glass opacityinvasivenesslung adenocarcinomanomogramNSCLC

Identifiers

PMID42279321
PMCPMC13255581

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