The value of 18F-FDG PET/CT combined with 3D quantitative technology and clinicopathological features in predicting prognosis of NSCLC

Although 18F-FDG PET/CT combined with 3D quantitative technique were helpful in predicting PFS in NSCLC, only age, SUVindex, and LNM were independent predictors for PFS.

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Publication Details

Journal
Frontiers in Oncology
Published
2025-04-08
DOI
https://doi.org/10.3389/fonc.2025.1533569
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.00
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article

The value of 18F-FDG PET/CT combined with 3D quantitative technology and clinicopathological features in predicting prognosis of NSCLC

Siwen Qiu, Jinyu Wang, Yuling Su
Frontiers in Oncology
Radiomics and Machine Learning in Medical Imaging
article

The value of 18F-FDG PET/CT combined with 3D quantitative technology and clinicopathological features in predicting prognosis of NSCLC

Siwen Qiu, Jinyu Wang, Yuling Su
article en

Abstract

Although 18F-FDG PET/CT combined with 3D quantitative technique were helpful in predicting PFS in NSCLC, only age, SUVindex, and LNM were independent predictors for PFS.

Frontiers in OncologyVol. 15
Zhuhai People's Hospital (CN)
Openalex Percentile: Top 89%
Radiomics and Machine Learning in Medical Imaging
DOIOpen Access PDFOpenAlex
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The value of 18F-FDG PET/CT combined with 3D quantitative technology and clinicopathological features in predicting prognosis of NSCLC — Siwen Qiu, Jinyu Wang, et al. · Frontiers in Oncology (2025) | TGRS Research Map | TGRS