Predictive Factors and Nomogram for Malignant Pulmonary Nodules (≤ 1 cm).

Zhenxin Cao; Ying Zhu

doi:10.1155/carj/9981353

January 1, 2026Open Access

Predictive Factors and Nomogram for Malignant Pulmonary Nodules (≤ 1 cm).

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Key Points

To identify independent predictors of malignancy in pulmonary nodules that are 1 cm or smaller and develop a nomogram for clinical prediction.
Analyzed characteristics of nodules including density, diameter, and calcification status.
Created a nomogram incorporating clinical and computed tomography features.
Evaluated the nomogram's predictive performance.
Nodule density, diameter, and calcification status are key predictors of malignancy.
The nomogram demonstrates good predictive performance but requires further external validation.

Implication

This analysis identifies predictors of malignancy in small nodules and highlights a nomogram for clinical use.

Abstract

Nodule density, diameter, and calcification status are key independent predictors of malignancy in nodules ≤ 1 cm. The developed nomogram, which also includes other clinical and computed tomography features, shows good predictive performance but requires external validation, especially considering its sensitivity.

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Cite This Study

Cao et al. (2026) studied this question.

synapsesocial.com/papers/69a3d747ec16d51705d2db73 https://doi.org/10.1155/carj/9981353

View Full Paper

Ask AI

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Predictive Factors and Nomogram for Malignant Pulmonary Nodules (≤ 1 cm).

Key Points

Implication

Abstract

Discussion

Cite This Study

Predictive Factors and Nomogram for Malignant Pulmonary Nodules (≤ 1 cm).

Key Points

Implication

Abstract

Discussion

Cite This Study

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