A Tumor Volume Segmentation Algorithm Based on Radiomics Features in FDG-PET in Lung Cancer Patients, Validated Using Surgical Specimens

A Tumor Volume Segmentation Algorithm Based on Radiomics Features in FDG-PET in Lung Cancer Patients, Validated Using Surgical Specimens

Background: Although the integration of positron emission tomography into radiation therapy treatment planning has become part of clinical routine, the best method for tumor delineation is still a matter of debate. In this study, therefore, we analyzed a novel, radiomics-feature-based algorithm in c...

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Bibliographic Details
Main Authors: Lena Bundschuh, Jens Buermann, Marieta Toma, Joachim Schmidt, Glen Kristiansen, Markus Essler, Ralph Alexander Bundschuh, Vesna Prokic
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Diagnostics
Subjects:
PET/CT
radiomics
radiation therapy treatment planning
tumor volume segmentation
Online Access:https://www.mdpi.com/2075-4418/14/23/2654
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