Development of a Radiomic-clinical Nomogram for Prediction of Survival in Patients with Nasal Extranodal Natural Killer/T-cell Lymphoma

The Rad-score was significantly correlated with OS for nasal ENKTL patients. Moreover, the MRI-based radiomics nomogram could be used for risk stratification and might guide individual treatment decisions.

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Publication Details

Journal
Current Medical Imaging Formerly Current Medical Imaging Reviews
Published
2025-06-24
DOI
https://doi.org/10.2174/0115734056319914250605053257
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
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article

Development of a Radiomic-clinical Nomogram for Prediction of Survival in Patients with Nasal Extranodal Natural Killer/T-cell Lymphoma

Haimei Ye, Xiaojie Fang, Lujun Han, He Huang et al.
Current Medical Imaging Formerly Current Medical Imaging Reviews
Radiomics and Machine Learning in Medical Imaging
article

Development of a Radiomic-clinical Nomogram for Prediction of Survival in Patients with Nasal Extranodal Natural Killer/T-cell Lymphoma

Haimei Ye, Xiaojie Fang, Lujun Han, He Huang, Zhao Wang, Limin Chen, Ying Tian, Chengcheng Guo, Mingjie Yu
article en

Abstract

The Rad-score was significantly correlated with OS for nasal ENKTL patients. Moreover, the MRI-based radiomics nomogram could be used for risk stratification and might guide individual treatment decisions.

Current Medical Imaging Formerly Current Medical Imaging ReviewsVol. 21
Sun Yat-sen University (CN), Sun Yat-sen University Cancer Center (CN), State Key Laboratory of Oncology in South China
Openalex Percentile: Top 78%
Radiomics and Machine Learning in Medical Imaging
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Development of a Radiomic-clinical Nomogram for Prediction of Survival in Patients with Nasal Extranodal Natural Killer/T-cell Lymphoma — Haimei Ye, Xiaojie Fang, et al. · Current Medical Imaging Formerly Current Medical Imaging Reviews (2025) | TGRS Research Map | TGRS