Combined CT-Based Radiomics and Clinic-Radiological Characteristics for Preoperative Differentiation of Solitary-Type Invasive Mucinous and Non-Mucinous Lung Adenocarcinoma

The combined model showed good ability in predicting solitary-type IMA and can provide a non-invasive and efficient approach to clinical decision-making.

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Publication Details

Journal
International Journal of General Medicine
Published
2024-09-01
DOI
https://doi.org/10.2147/ijgm.s479978
Citations
3
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
1.21

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article

Combined CT-Based Radiomics and Clinic-Radiological Characteristics for Preoperative Differentiation of Solitary-Type Invasive Mucinous and Non-Mucinous Lung Adenocarcinoma

Chunhong Hu, Yuanying Liu, Xiaoxia Ping, Feiwen Feng et al.
3 citations
International Journal of General Medicine
Radiomics and Machine Learning in Medical Imaging
1.21
article

Combined CT-Based Radiomics and Clinic-Radiological Characteristics for Preoperative Differentiation of Solitary-Type Invasive Mucinous and Non-Mucinous Lung Adenocarcinoma

Chunhong Hu, Yuanying Liu, Xiaoxia Ping, Feiwen Feng, Su Hu, Rong Hong
article en
3 citations

Abstract

The combined model showed good ability in predicting solitary-type IMA and can provide a non-invasive and efficient approach to clinical decision-making.

International Journal of General MedicineVol. Volume 17
Soochow University (CN), Suzhou Traditional Chinese Medicine Hospital (CN), First Affiliated Hospital of Soochow University (CN)
Government of Jiangsu Province
Zero hunger
Openalex Percentile: Top 20%
Radiomics and Machine Learning in Medical Imaging
1.21
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