Article

Prediction of Subsolid Pulmonary Nodule Evolution from Baseline CT Using Temporal Imaging Models

2026-08-13

Abstract excerpt

<h4>Background: </h4> Prediction of subsolid pulmonary nodule (SSN) progression from baseline CT may improve risk stratification and surveillance planning, but prior approaches have largely relied on fixed follow-up intervals. <h4>Methods:</h4> This retrospective single-center study evaluated interval-aware temporal imaging models for predicting future SSN growth and morphology across heterogeneous surveillance du...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 08788d9a-49b2-5e70-8bd2-e7c98e352ced
DOI: 10.64898/2026.08.12.26360292

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Prediction of Subsolid Pulmonary Nodule Evolution from Baseline CT Using Temporal Imaging ModelsDOI 10.64898/2026.08.12.26360292Read

Radiomics Analysis for Predicting Growth of Subsolid Lung Nodules on CTSemantic proximity Read

Multi-center Validation of Pulmonary Nodule Classification Model for Lung Cancer ScreeningSemantic proximity Read

A Multirepresentation Model for Pulmonary Nodule Malignancy Risk Assessment and Model-Derived Risk Grouping on Routine Chest CT: a retrospective diagnostic modeling studySemantic proximity Read

Topological radiogenomics based on persistent lifetime images for identification of epidermal growth factor receptor mutation in patients with non-small cell lung tumors.Semantic proximity Read

Aging Signals on Chest Radiographs: Association of Chest Radiograph-Derived Age Acceleration With Future Lung Cancer IncidenceSemantic proximity Read

Unexpectedly Benign Pulmonary Nodules Using Machine LearningSemantic proximity Read

Survival prediction of NLST lung cancer patients from radiomics and clinical dataSemantic proximity Read

CT-Based Deep Foundation Model for Predicting Immune Checkpoint Inhibitor-Induced Pneumonitis Risk in Lung CancerSemantic proximity Read

Persistent Homology of Tumor CT Scans is Associated with Survival In Lung CancerSemantic proximity Read

Comparison of the conventional and small-field-of-view CT scan for diagnosing sub-solid nodules using a multi-instance deep learning method：a multi-centre studySemantic proximity Read

A Clinically Applicable and Generalizable Deep Learning Model for Anterior Mediastinal Tumors in CT Images Across Multiple InstitutionsSemantic proximity Read

Solitary Pulmonary Nodule Malignancy Predictive Models Applicable to Routine Clinical Practice: A Systematic Review Semantic proximity Read