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Predicting Benign and Malignant Subpleural Pulmonary Lesions With a Nomogram Model Using Clinical and B-Mode
Lei Hao1, Lijing Zhu2, Bojuan Wang2
1Medical Imaging Department of Shanxi Medical University, Taiyuan, China; Departments of Ultrasound, Second Hospital of Shanxi Medical University, Taiyuan, China.
Ultrasound in Medicine & Biology
|April 12, 2025
Summary
This study developed an individualized nomogram using ultrasound and clinical data to distinguish benign from malignant subpleural pulmonary lesions (SPLs). The validated model effectively aids in diagnosing SPLs, especially in primary care settings.
Area of Science:
- Pulmonology
- Radiology
- Medical Imaging
Background:
- Subpleural pulmonary lesions (SPLs) require accurate differentiation between benign and malignant types.
- Current diagnostic methods may benefit from enhanced tools for improved accuracy and efficiency.
Purpose of the Study:
- To develop and validate an individualized nomogram for distinguishing benign from malignant SPLs.
- To utilize B-mode ultrasound imaging and clinical data for this diagnostic tool.
Main Methods:
- A cohort of 425 patients with SPLs was divided into development (n=297) and validation (n=128) groups.
- Boruta analysis identified key features, and a multivariable logistic regression model was constructed into a nomogram.
- Model performance was evaluated using discrimination, calibration, and clinical utility analyses.
Main Results:
- Six variables (age, smoking history, air bronchogram, lesion-to-wall angle, posterior echo, visceral pleural invasion) formed the nomogram.
- The nomogram achieved high diagnostic accuracy with an area under the curve of 0.859 (development) and 0.862 (validation).
- Calibration and clinical utility analyses confirmed the nomogram's reliability and usefulness.
Conclusions:
- An effective nomogram for assessing malignant SPLs has been developed and validated.
- This tool can serve as a valuable complementary diagnostic aid in primary healthcare and bedside examinations.

