Radiomics Model Based on Contrast-enhanced CT Intratumoral and Peritumoral Features for Predicting Lymphovascular Invasion in Hypopharyngeal Squamous Cell Carcinoma

Intratumoral combined peritumoral radiomics model based on CECT can superior predict LVI status in HSCC patients and may have significant potential for future applications in clinical practice.

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Publication Details

Journal
Academic Radiology
Published
2024-12-06
DOI
https://doi.org/10.1016/j.acra.2024.11.017
Citations
4
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
1.62

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article

Radiomics Model Based on Contrast-enhanced CT Intratumoral and Peritumoral Features for Predicting Lymphovascular Invasion in Hypopharyngeal Squamous Cell Carcinoma

Tongliang Xia, Changling Li, Dapeng Lei, Dongmin Wei et al.
4 citations
Academic Radiology
Radiomics and Machine Learning in Medical Imaging
1.62
article

Radiomics Model Based on Contrast-enhanced CT Intratumoral and Peritumoral Features for Predicting Lymphovascular Invasion in Hypopharyngeal Squamous Cell Carcinoma

Tongliang Xia, Changling Li, Dapeng Lei, Dongmin Wei, Shengda Cao, Qian Ye, Chenyang Xu, Wenming Li, Zhiwei Liu, Yuanrong Ju
article en
4 citations

Abstract

Intratumoral combined peritumoral radiomics model based on CECT can superior predict LVI status in HSCC patients and may have significant potential for future applications in clinical practice.

Academic RadiologyVol. 32(4)
Shandong University (CN), National Health and Family Planning Commission (CN), Qilu Hospital of Shandong University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Shandong Province
Openalex Percentile: Top 15%
Radiomics and Machine Learning in Medical Imaging
1.62
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Radiomics Model Based on Contrast-enhanced CT Intratumoral and Peritumoral Features for Predicting Lymphovascular Invasion in Hypopharyngeal Squamous Cell Carcinoma — Tongliang Xia, Changling Li, et al. · Academic Radiology (2024) | TGRS Research Map | TGRS