Relationship Between [18F]FDG PET/CT Texture Analysis and Progression-Free Survival in Patients Diagnosed With Invasive Breast Carcinoma

ML models incorporating PET-derived TFs and clinical parameters may assist in predicting progression during the pre-treatment period in patients with invasive breast carcinoma.

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Publication Details

Journal
European Journal of Breast Health
Published
2025-08-22
DOI
https://doi.org/10.4274/ejbh.galenos.2025.2025-5-3
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
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article

Relationship Between [18F]FDG PET/CT Texture Analysis and Progression-Free Survival in Patients Diagnosed With Invasive Breast Carcinoma

Sibel Göksel, Hande Melike Bülbül, Ogün Bülbül
European Journal of Breast Health
Radiomics and Machine Learning in Medical Imaging
article

Relationship Between [18F]FDG PET/CT Texture Analysis and Progression-Free Survival in Patients Diagnosed With Invasive Breast Carcinoma

Sibel Göksel, Hande Melike Bülbül, Ogün Bülbül
article en

Abstract

ML models incorporating PET-derived TFs and clinical parameters may assist in predicting progression during the pre-treatment period in patients with invasive breast carcinoma.

European Journal of Breast HealthVol. 21(4)
Recep Tayyip Erdoğan University (TR), Adnan Menderes University (TR)
Zero hunger
Openalex Percentile: Top 69%
Radiomics and Machine Learning in Medical Imaging
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Relationship Between [18F]FDG PET/CT Texture Analysis and Progression-Free Survival in Patients Diagnosed With Invasive Breast Carcinoma — Sibel Göksel, Hande Melike Bülbül, et al. · European Journal of Breast Health (2025) | TGRS Research Map | TGRS