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Related Experiment Video

Updated: Apr 23, 2026

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

Pulmonary nodule: a comprehensive review and update.

Amit Asija¹, Rajapriya Manickam, Wilbert S Aronow

¹Department of Internal Medicine, University of Mississippi, Jackson, MS.

Hospital Practice (1995)

|September 26, 2014

Summary

Computed tomography (CT) detects more lung nodules, increasing the need for risk assessment and management. Guidelines help classify nodules by malignancy risk for appropriate follow-up and treatment decisions.

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CT-guided Preoperative Localization of Pulmonary Nodules Using a Glucose Test and Tissue Adhesive

CT-guided Preoperative Localization of Pulmonary Nodules Using a Glucose Test and Tissue Adhesive

Published on: January 30, 2026

Area of Science:

Pulmonology
Radiology
Oncology

Background:

Solitary pulmonary nodules and ground-glass nodules are increasingly detected incidentally using computed tomography (CT).
Widespread implementation of lung cancer screening is expected to further increase nodule detection rates.

Purpose of the Study:

To outline a risk-based approach for classifying and managing incidentally detected pulmonary nodules.
To provide guidance on follow-up imaging and tissue sampling based on malignancy risk.

Main Methods:

Classification of nodules into low, indeterminate, or high risk based on clinical and radiological features.
Application of expert consensus-based recommendations for management.
Consideration of patient preferences and surgical suitability.

Main Results:

The study outlines a structured approach to managing incidental pulmonary nodules detected by CT.
It emphasizes risk stratification to guide further diagnostic and therapeutic interventions.

Conclusions:

A systematic, risk-stratified approach is crucial for managing the growing number of incidentally detected pulmonary nodules.
Management decisions should integrate clinical, radiological, and patient-specific factors.