A clinical model for growth rate-driven prediction of histological subtypes in invasive pulmonary adenocarcinomas

The nomogram, incorporating clinical and radiological characteristics with tumor growth metrics, accurately predicted high - grade components in primary lung adenocarcinomas. This tool may aid in preoperative planning and personalized treatment. Future work should focus on prospective multic - center validation and exploring automated segmentation methods.

Authors

Feiyang Zhong (ORCID: https://orcid.org/0000-0003-3833-6573)
Lijun Wu (ORCID: https://orcid.org/0009-0008-0354-5301)
Zhenxing Liu (ORCID: https://orcid.org/0000-0003-1249-5023)
Wenping Li (ORCID: https://orcid.org/0000-0003-2887-0481)
Shaohong Zhao (ORCID: https://orcid.org/0000-0002-4943-9263)

Institutions

Nankai University (CN)
Chinese PLA General Hospital (CN)
Second Hospital of Yichang (CN)
First Affiliated Hospital of Chinese PLA General Hospital (CN)

Publication Details

Journal: Future Oncology
Published: 2025-10-21
DOI: https://doi.org/10.1080/14796694.2025.2577628
Primary Topic: Radiomics and Machine Learning in Medical Imaging
Type: article
Field-Weighted Citation Impact: 0.00

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article

A clinical model for growth rate-driven prediction of histological subtypes in invasive pulmonary adenocarcinomas

Feiyang Zhong, Lijun Wu, Zhenxing Liu, Wenping Li et al.

Oct 21, 2025

Future Oncology

Radiomics and Machine Learning in Medical Imaging

article

A clinical model for growth rate-driven prediction of histological subtypes in invasive pulmonary adenocarcinomas

Feiyang Zhong, Lijun Wu, Zhenxing Liu, Wenping Li, Shaohong Zhao

October 21, 2025article en

Abstract

The nomogram, incorporating clinical and radiological characteristics with tumor growth metrics, accurately predicted high - grade components in primary lung adenocarcinomas. This tool may aid in preoperative planning and personalized treatment. Future work should focus on prospective multic - center validation and exploring automated segmentation methods.

Future OncologyVol. 21(29)

Nankai University (CN), Chinese PLA General Hospital (CN), Second Hospital of Yichang (CN), First Affiliated Hospital of Chinese PLA General Hospital (CN)

Openalex Percentile: Top 56%

Radiomics and Machine Learning in Medical Imaging

DOI Open Access PDF OpenAlex

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A clinical model for growth rate-driven prediction of histological subtypes in invasive pulmonary adenocarcinomas — Feiyang Zhong, Lijun Wu, et al. · Future Oncology (2025) | TGRS Research Map | TGRS