Preliminary Study on the Evaluation Value of Extracellular Volume Fraction in the Pathological Grading of Lung Invasive Adenocarcinoma

Extracellular volume fraction can provide more information for the pathological grading assessment of invasive adenocarcinoma of the lung. Compared to other spectral parameters, ECV<sup>V</sup> exhibits the highest diagnostic performance, and its combination with conventional imaging features can further enhance diagnostic accuracy.

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Publication Details

Journal
Current Medical Imaging Formerly Current Medical Imaging Reviews
Published
2025-08-28
DOI
https://doi.org/10.2174/0115734056392707250818063540
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
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article

Preliminary Study on the Evaluation Value of Extracellular Volume Fraction in the Pathological Grading of Lung Invasive Adenocarcinoma

Xiaojing Kan, Yuepeng Pan, Bin Nan, Yinghui Ge et al.
Current Medical Imaging Formerly Current Medical Imaging Reviews
Radiomics and Machine Learning in Medical Imaging
article

Preliminary Study on the Evaluation Value of Extracellular Volume Fraction in the Pathological Grading of Lung Invasive Adenocarcinoma

Xiaojing Kan, Yuepeng Pan, Bin Nan, Yinghui Ge, Jin Cai, Minghua Sun
article en

Abstract

Extracellular volume fraction can provide more information for the pathological grading assessment of invasive adenocarcinoma of the lung. Compared to other spectral parameters, ECV<sup>V</sup> exhibits the highest diagnostic performance, and its combination with conventional imaging features can further enhance diagnostic accuracy.

Current Medical Imaging Formerly Current Medical Imaging ReviewsVol. 21
Henan Provincial People's Hospital (CN), Zhengzhou Central Hospital (CN)
Openalex Percentile: Top 68%
Radiomics and Machine Learning in Medical Imaging
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