Investigating multi-radiomic models for enhancing prediction power of cervical cancer treatment outcomes

Physica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)
Baderaldeen A AltaziEduardo G Moros

Abstract

Quantitative image features, also known as radiomic features, have shown potential for predicting treatment outcomes in several body sites. We quantitatively analyzed 18Fluorine-fluorodeoxyglucose (18F-FDG) Positron Emission Tomography (PET) uptake heterogeneity in the Metabolic Tumor Volume (MTV) of eighty cervical cancer patients to investigate the predictive performance of radiomic features for two treatment outcomes: the development of distant metastases (DM) and loco-regional recurrent disease (LRR). We aimed to fit the highest predictive features in multiple logistic regression models (MLRs). To generate such models, we applied backward feature selection method as part of Leave-One-Out Cross Validation (LOOCV) within a training set consisting of 70% of the original patient cohort. The trained MLRs were tested on an independent set consisted of 30% of the original cohort. We evaluated the performance of the final models using the Area under the Receiver Operator Characteristic Curve (AUC). Accordingly, six models demonstrated superior predictive performance for both outcomes (four for DM and two for LRR) when compared to both univariate-radiomic feature models and Standard Uptake Value (SUV) measurements. This demonstrated...Continue Reading

Citations

Jun 20, 2019·European Journal of Nuclear Medicine and Molecular Imaging·Martina SolliniMargarita Kirienko
Mar 14, 2021·Physica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)·Lise WeiIssam El Naqa
Jun 5, 2020·Critical Reviews in Oncology/hematology·Yao AiXiance Jin
Mar 28, 2021·European Journal of Nuclear Medicine and Molecular Imaging·Marta FerreiraRoland Hustinx

❮ Previous
Next ❯

Related Concepts

Related Feeds

Cancer Metabolism

In order for cancer cells to maintain rapid, uncontrolled cell proliferation, they must acquire a source of energy. Cancer cells acquire metabolic energy from their surrounding environment and utilize the host cell nutrients to do so. Here is the latest research on cancer metabolism.