Quantifying intratumoral heterogeneity within sub-regions to predict high-grade patterns in clinical stage I solid lung adenocarcinoma

The ITH derived from sub-region within the tumor has been shown to be a reliable predictor for MP/S (+) in clinical stage I solid LADC.

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Publication Details

Journal
BMC Cancer
Published
2025-01-09
DOI
https://doi.org/10.1186/s12885-025-13445-0
Citations
16
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
21.76
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article

Quantifying intratumoral heterogeneity within sub-regions to predict high-grade patterns in clinical stage I solid lung adenocarcinoma

Zhichao Zuo, Jinqiu Deng, Ying Zeng, Wu Ge et al.
16 citations
BMC Cancer
Radiomics and Machine Learning in Medical Imaging
21.76
article

Quantifying intratumoral heterogeneity within sub-regions to predict high-grade patterns in clinical stage I solid lung adenocarcinoma

Zhichao Zuo, Jinqiu Deng, Ying Zeng, Wu Ge, Yinjun Zhou, Haibo Liu, Wei Dong Zhang
article en
16 citations

Abstract

The ITH derived from sub-region within the tumor has been shown to be a reliable predictor for MP/S (+) in clinical stage I solid LADC.

BMC CancerVol. 25(1)
Xiangyang Central Hospital (CN), Fourth Affiliated Hospital of Guangxi Medical University (CN), Xiangtan University (CN)
Zero hunger
Openalex Percentile: Top 0%
Radiomics and Machine Learning in Medical Imaging
21.76
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