A clinically applicable model more suitable for predicting malignancy or benignity of pulmonary ground glass nodules in women patients

In this study, we identified female gender, mGGN, VCS, mean CT value and maximum nodule diameter as five key factors for predicting malignancy or benignity of pulmonary nodules, based on which we established a mathematical prediction model. This novel innovation may provide a useful auxiliary tool for predicting malignancy and benignity of pulmonary nodules, especially in women patients.

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Publication Details

Journal
BMC Cancer
Published
2024-10-03
DOI
https://doi.org/10.1186/s12885-024-13004-z
Citations
3
Primary Topic
Lung Cancer Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
1.26
Controls
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article

A clinically applicable model more suitable for predicting malignancy or benignity of pulmonary ground glass nodules in women patients

Changxing Shen, Xiaodan Zhu, Jingcheng Dong
3 citations
BMC Cancer
Lung Cancer Diagnosis and Treatment
1.26
article

A clinically applicable model more suitable for predicting malignancy or benignity of pulmonary ground glass nodules in women patients

Changxing Shen, Xiaodan Zhu, Jingcheng Dong
article en
3 citations

Abstract

In this study, we identified female gender, mGGN, VCS, mean CT value and maximum nodule diameter as five key factors for predicting malignancy or benignity of pulmonary nodules, based on which we established a mathematical prediction model. This novel innovation may provide a useful auxiliary tool for predicting malignancy and benignity of pulmonary nodules, especially in women patients.

BMC CancerVol. 24(1)
Fudan University (CN), Jinhua Central Hospital (CN)
Gender equality
Openalex Percentile: Top 18%
Lung Cancer Diagnosis and Treatment
1.26
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