Stockholm, Sweden

ESTRO 2026

Session

Radiomics, functional and biological imaging and outcome prediction
Digital Poster
Physics
Perfusion-guided re-optimization of lung SBRT using 68Ga-MAA PET/CT to reduce acute radiation-induced lung toxicity
Malik NEBBACHE, France
-390
A Multimodal Machine Learning Model to Improve Early Recurrence Prediction after Neoadjuvant Chemoradiotherapy for Rectal Cancer
Chenying Ma, China
-440
Multi-center MRI radiomics for recurrence prediction in anal squamous cell carcinoma using machine learning and a foundation model-based approach
Lucas Zander, Germany
-678
Can PSMA PET Predict Local Recurrence After Radiotherapy of Prostate Cancer? A Validation Study of External PET-derived Radiomic Features
Philipp Waibel, Germany
-899
Image-driven metrics of overall survival following surgery and chemo-radiation of glioblastoma patients
Jacob Snäll, Sweden
-988
CT-based Predictors of Radiation-Induced Pulmonary Toxicity in Breast Cancer Patients
Marco Fois, Italy
-1103
Longitudinal evaluation of quantitative MRI biomarkers on a 1.5T MR-Linac during prostate radiotherapy
Anaïs Barateau, France
-1158
Generalizability of CT Radiomics for NSCLC Survival Prediction: Internal and External Validation
Mengcheng Li, United Kingdom
-1582
PROTECT-DTI: A Multicenter Federated Imaging and Clinical Integration Program to Preserve White Matter in Stereotactic Brain Radiotherapy
Paul RETIF, France
-1609
Multi-site trial evaluating FET-PET in Glioblastoma:Central review of FET-PET biologic target volume delineation for adjuvant radiotherapy planning.
Angela Whitehead, Australia
-1785
Studying brain network hubs using T1-weighted MRI through complex network analysis
Lucia Clara Orlandini, China
-1838
external validation of a multimodal AI-based model for prostate cancer radiation therapy outcome prediction from baseline MRI
Benjamin Simon, United Kingdom
-2088
Noninvasive Prediction of Local Control Using CT Radiomics and Machine Learning After SABR for Colorectal Pulmonary Metastases
donatella caivano, Italy
-2223
Associations of late toxicity after head and neck radiotherapy based on OAR doses and clinical characteristics
Vera-Maria Enckell, Finland
-2633
Fully automatic selection of vascular input function for dynamic contrast-enhanced (DCE) MRI applied to brain, head and neck, and prostate
Teo Asplund, Sweden
-2748
Prediction of adverse events using a novel prostate–rectum spacing metric in prostate SBRT
Owen Mc Laughlin, United Kingdom
-2926
Effect of ROI definition on PET radiomics model performance in HNSCC
Michael Vácha, Germany
-2960
A Clinically Implementable Model for Predicting complications after Stereotactic Radiosurgery of Brain lesions
Arina Nadina, Russian Federation
-3141
Deep learning with pretreatment fluorodeoxyglucose positron emission tomography for recurrence prediction in locally advanced cervical cancer.
Lev Paciorkowski, USA
-3300
The effect of input uncertainty on the reproducibility of perfusion parameter maps
Alicia Palmér, Sweden
-3600
Intratumor variation in imaging and histological phenotypes of prostate cancer
Erik Nilsson, Sweden
-3823
Temporal correlation between advanced DWI and Ki-67 in patients with skull base chordomas treated with carbon ion radiation therapy
Fabio Casaccio, Italy
-3856
Temporal Stability of MR-Derived Radiomic Features During Radiotherapy for Locally Advanced Cervical Cancer
Jasmine Morrison, United Kingdom
-3874
Exploring radiomics-based integrated molecular-morphologic classification in high-grade meningioma treated with proton therapy: preliminary insights
Silvia Molinelli, Italy
-4015
Validation of Apparent Diffusion Coefficient as a Quantitative Imaging Biomarker for Pancreatic Cancer on a 1.5T MR-Linac
Christelle Bouchart, Belgium
-4061
Re-irradiation in pediatric brain tumors - An exploratory analysis.
Parag Mude, India
-4086
Lymphocyte loss during CRT of rectal cancer: prediction with a dynamic flow model.
Celia Juan-Cruz, The Netherlands
-4165
The Radiomic Fingerprint of the Marrow: Predicting Blood Toxicity before Lung Cancer Radiotherapy
Guillermo Canterla Casas, Spain
-4455
A Quantitative Susceptibility–Based Framework for Cerebral Metabolic Rate of O? and pO2 Estimation: validation with Digital and Realistic MRI Phantoms
Paolo Fenech, Italy
-4695
Volumetric dose and image-based analysis of the vaginal wall for predicting vaginal stenosis after cervical cancer brachytherapy
Henrike Westerveld, The Netherlands
-4726
Deep learning CT-derived immune phenotypes predict recurrence and survival in the RADCURE oropharyngeal cancer cohort
André Haraldsson, Sweden
-4818
Low-dose distribution predicts radiation pneumonitis in esophageal cancer: impact of gastroesophageal junction involvement
Rachele Grazziotin Reisner, Brazil
-4821
Temporal ADC dynamics on a 0.35 T MR-Linac as an early response biomarker in rectal cancer
Lorenzo Placidi, Italy
-4969
Visualization for Detecting Lung SBRT Failure Patterns Through CT-Biological Effective Dose Interaction – A Vision Transformer Approach
SHUO WANG, USA
-5143
Predicting Radiological Response to Stereotactic Ablative Radiotherapy in Early-Stage NSCLC Using Clinical and Radiomics-Based Machine Learning Models
Victor Hernandez, Spain
-5153