The scoring system combined with radiomics and imaging features in predicting the malignant potential of incidental indeterminate small (<20 mm) solid pulmonary nodules

The combined model demonstrated good diagnostic performance in predicting the malignant potential of IISSPNs. A perfect accuracy rate of 100% can be achieved with a score exceeding 12 points in the user-friendly scoring system.

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Publication Details

Journal
BMC Medical Imaging
Published
2024-09-06
DOI
https://doi.org/10.1186/s12880-024-01413-2
Citations
3
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
1.21

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article

The scoring system combined with radiomics and imaging features in predicting the malignant potential of incidental indeterminate small (<20 mm) solid pulmonary nodules

Pei‐Wei Cao, Yuepeng Pan, Xue‐Ying Deng, Bai-Qiang Qu et al.
3 citations
BMC Medical Imaging
Radiomics and Machine Learning in Medical Imaging
1.21
article

The scoring system combined with radiomics and imaging features in predicting the malignant potential of incidental indeterminate small (<20 mm) solid pulmonary nodules

Pei‐Wei Cao, Yuepeng Pan, Xue‐Ying Deng, Bai-Qiang Qu, Yun Wang
article en
3 citations

Abstract

The combined model demonstrated good diagnostic performance in predicting the malignant potential of IISSPNs. A perfect accuracy rate of 100% can be achieved with a score exceeding 12 points in the user-friendly scoring system.

BMC Medical ImagingVol. 24(1)
Zhejiang Chinese Medical University (CN), Chinese Academy of Sciences (CN), Zhejiang Cancer Hospital (CN)
Medical Science and Technology Project of Zhejiang Province, Natural Science Foundation of Zhejiang Province
Zero hunger
Openalex Percentile: Top 20%
Radiomics and Machine Learning in Medical Imaging
1.21
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