Development of a Comprehensive Model Combining Clinical, Radiomics With Deep Learning for Predicting the Micropapillary Pattern in ≤2 cm Invasive Lung Adenocarcinoma

CRDL model effectively predicts MPP in ≤2 cm ILADC preoperatively, offering a non-invasive tool to guide surgical decision-making and optimize patient management.

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Publication Details

Journal
European Journal of Cardio-Thoracic Surgery
Published
2026-01-01
DOI
https://doi.org/10.1093/ejcts/ezag002
Primary Topic
Lung Cancer Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
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article

Development of a Comprehensive Model Combining Clinical, Radiomics With Deep Learning for Predicting the Micropapillary Pattern in ≤2 cm Invasive Lung Adenocarcinoma

Yaoyue Hu, Rong Xiao, Zhihao Li, Wei He
European Journal of Cardio-Thoracic Surgery
Lung Cancer Diagnosis and Treatment
article

Development of a Comprehensive Model Combining Clinical, Radiomics With Deep Learning for Predicting the Micropapillary Pattern in ≤2 cm Invasive Lung Adenocarcinoma

Yaoyue Hu, Rong Xiao, Zhihao Li, Wei He
article en

Abstract

CRDL model effectively predicts MPP in ≤2 cm ILADC preoperatively, offering a non-invasive tool to guide surgical decision-making and optimize patient management.

European Journal of Cardio-Thoracic SurgeryVol. 68(1)
Southeast University (BD), Zhongda Hospital Southeast University (CN), Southeast University (CN)
No poverty
Openalex Percentile: Top 96%
Lung Cancer Diagnosis and Treatment
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