Prediction model for the early recurrence of stage IA–IIA non-small cell lung cancer based on hematological indexes and imaging features

Globulin content, air bronchogram signs, and solid nodules were independent prognostic factors for early recurrence within 2 years in patients with stage IA-IIA NSCLC. The proposed model, developed based on the above factors and the albumin-alkaline phosphatase ratio, can effectively predict recurrence risk, potentially aiding clinicians in quantifying prognostic risk, making personalized survival assessments, and devising the most effective treatment plans.

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Publication Details

Journal
Discover Oncology
Published
2025-05-07
DOI
https://doi.org/10.1007/s12672-025-02514-2
Citations
1
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
1.36
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article

Prediction model for the early recurrence of stage IA–IIA non-small cell lung cancer based on hematological indexes and imaging features

Bohui Zhu, Xin Liu, Yiyuan Sun, Wei Zhao et al.
1 citations
Discover Oncology
Radiomics and Machine Learning in Medical Imaging
1.36
article

Prediction model for the early recurrence of stage IA–IIA non-small cell lung cancer based on hematological indexes and imaging features

Bohui Zhu, Xin Liu, Yiyuan Sun, Wei Zhao, Mingxiang Zhang
article en
1 citations

Abstract

Globulin content, air bronchogram signs, and solid nodules were independent prognostic factors for early recurrence within 2 years in patients with stage IA-IIA NSCLC. The proposed model, developed based on the above factors and the albumin-alkaline phosphatase ratio, can effectively predict recurrence risk, potentially aiding clinicians in quantifying prognostic risk, making personalized survival assessments, and devising the most effective treatment plans.

Discover OncologyVol. 16(1)
University of Science and Technology of China (CN), Second Military Medical University (CN), Shanghai Pudong New Area Gongli Hospital (CN)
Good health and well-being
Openalex Percentile: Top 21%
Radiomics and Machine Learning in Medical Imaging
1.36
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Prediction model for the early recurrence of stage IA–IIA non-small cell lung cancer based on hematological indexes and imaging features — Bohui Zhu, Xin Liu, et al. · Discover Oncology (2025) | TGRS Research Map | TGRS