Development and interpretation of machine learning-based prognostic models for predicting high-risk prognostic pathological components in pulmonary nodules: integrating clinical features, serum tumor marker and imaging features

Our prediction model for identifying HRPPC in PNs has excellent discrimination, calibration and clinical utility. Thoracic surgeons could make relatively reliable predictions of HRPPC in PNs without the possibility of invasive testing.

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Publication Details

Journal
Journal of Cancer Research and Clinical Oncology
Published
2025-06-16
DOI
https://doi.org/10.1007/s00432-025-06241-7
Primary Topic
Lung Cancer Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00

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article

Development and interpretation of machine learning-based prognostic models for predicting high-risk prognostic pathological components in pulmonary nodules: integrating clinical features, serum tumor marker and imaging features

Jianhao Qiu, Rongyang Li, Dingxin Wang, Hui Tian
Journal of Cancer Research and Clinical Oncology
Lung Cancer Diagnosis and Treatment
article

Development and interpretation of machine learning-based prognostic models for predicting high-risk prognostic pathological components in pulmonary nodules: integrating clinical features, serum tumor marker and imaging features

Jianhao Qiu, Rongyang Li, Dingxin Wang, Hui Tian
article en

Abstract

Our prediction model for identifying HRPPC in PNs has excellent discrimination, calibration and clinical utility. Thoracic surgeons could make relatively reliable predictions of HRPPC in PNs without the possibility of invasive testing.

Journal of Cancer Research and Clinical OncologyVol. 151(6)
Shandong Provincial QianFoShan Hospital (CN), Qilu Hospital of Shandong University (CN), Shandong First Medical University (CN)
Natural Science Foundation of Shandong Province
Openalex Percentile: Top 77%
Lung Cancer Diagnosis and Treatment
DOIOpen Access PDFOpenAlex
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Development and interpretation of machine learning-based prognostic models for predicting high-risk prognostic pathological components in pulmonary nodules: integrating clinical features, serum tumor marker and imaging features — Jianhao Qiu, Rongyang Li, et al. · Journal of Cancer Research and Clinical Oncology (2025) | TGRS Research Map | TGRS