Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Assessing clinical complexity in fluoroscopy-guided interventional procedures using the modified Delphi method: a pathway to define diagnostic reference levels (DRLs).

Clinical radiology·2025

Same author

Intracellular Nanodelivery of DNA with Enzyme-Degradable and pH-Responsive Peptide Dendrons.

Biomacromolecules·2025

Same author

From mudflats and saltpans to Open Sea: Plastic ingestion and PBDE/MeO-BDE accumulation in Waterbirds from southern Portugal.

Marine pollution bulletin·2025

Same author

Electronic band evolution between Lieb and kagome nanoribbons.

Nanotechnology·2025

Same author

Tight-binding model of Pt-based jacutingaites as combination of the honeycomb and kagome lattices.

Journal of physics. Condensed matter : an Institute of Physics journal·2024

Same author

Physiology and fertility of two gull species in relation to plastic additives' exposure.

The Science of the total environment·2024

Same journal

The effects of asymmetrical versus symmetrical high-flow nasal cannula on respiratory muscle activity in acute hypoxaemic respiratory failure and chronic obstructive pulmonary disease: A randomised crossover study.

Pulmonology·2026

Same journal

Association between smoking and prognosis in idiopathic pulmonary fibrosis: A systematic review and meta-analysis.

Pulmonology·2026

Same journal

Occupational category, job type, and sarcoidosis: Findings from a French multicenter study.

Pulmonology·2026

Same journal

Adhesion molecules and T cell imbalance in severe eosinophilic asthma: Insights from anti-IL-5R treatment.

Pulmonology·2026

Same journal

Commentary on 'Aerobic training versus behavioural intervention to increase physical activity on clinical control of people with moderate-to-severe asthma: A randomised clinical trial'.

Pulmonology·2026

Same journal

Remimazolam for sedation in flexible bronchoscopy: A systematic review and meta-analysis of randomised controlled trials.

Pulmonology·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Dec 13, 2025

Author Spotlight: A 3D Digital Model for the Diagnosis and Treatment of Pulmonary Nodules

Author Spotlight: A 3D Digital Model for the Diagnosis and Treatment of Pulmonary Nodules

Published on: May 19, 2023

Predicting lung nodules malignancy.

M Jacob¹, J Romano², D Ara Jo¹

¹Pulmonology Department, Centro Hospitalar Universit.írio de S.úo Jo.úo, Porto, Portugal.

|August 3, 2020

Summary

This summary is machine-generated.

This study developed a lung nodule malignancy prediction model using clinical and CT data. The model accurately identifies high-risk patients, aiding in diagnosis and treatment selection for solitary pulmonary nodules.

Keywords:

Diagnosis Malignant tumour Prediction model lung cancer lung nodule

More Related Videos

Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer

Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer

Published on: October 13, 2023

Use of Electromagnetic Navigational Transthoracic Needle Aspiration E-TTNA for Sampling of Lung Nodules

Use of Electromagnetic Navigational Transthoracic Needle Aspiration E-TTNA for Sampling of Lung Nodules

Published on: May 23, 2015

Related Experiment Videos

Last Updated: Dec 13, 2025

Author Spotlight: A 3D Digital Model for the Diagnosis and Treatment of Pulmonary Nodules

Author Spotlight: A 3D Digital Model for the Diagnosis and Treatment of Pulmonary Nodules

Published on: May 19, 2023

Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer

Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer

Published on: October 13, 2023

Use of Electromagnetic Navigational Transthoracic Needle Aspiration E-TTNA for Sampling of Lung Nodules

Use of Electromagnetic Navigational Transthoracic Needle Aspiration E-TTNA for Sampling of Lung Nodules

Published on: May 23, 2015

Area of Science:

Pulmonology
Radiology
Oncology

Background:

Accurate differentiation between malignant and benign solitary pulmonary nodules is crucial.
Developing reliable prediction models for lung nodule malignancy is essential for clinical decision-making.

Purpose of the Study:

To establish a real-world predicting model for lung nodule malignancy.
To evaluate the probability of malignancy in lung nodules.

Main Methods:

Retrospective analysis of clinical and computed tomography (CT) data from 121 patients with lung nodules.
Percutaneous CT-guided transthoracic biopsy was performed.
Multiple logistic regression was used to identify independent predictors and establish a clinical prediction model.

Main Results:

Six independent predictors of malignancy were identified: age, gender, smoking status, current extra-pulmonary cancer, air bronchogram, and nodule size.
The prediction model demonstrated a significant predictive capability with an Area Under the Curve (AUC) of 0.8573.
The study population comprised 121 patients, with 62% being male, and a mean age of 64.7 years.

Conclusions:

The developed prediction model can assess malignancy probability in the Portuguese population.
This tool assists in the diagnosis of lung nodules and guides the selection of appropriate follow-up interventions.
The model aids clinicians in managing patients with solitary pulmonary nodules.