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ESTRO 2026
Programme
Radiomics, functional and biological...
15 May 2026 - 19 May 2026
Stockholm, Sweden
ESTRO 2026
Session
Radiomics, functional and biological imaging and outcome prediction
Session Type:
Digital Poster
Track:
Physics
Journey:
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Perfusion-guided re-optimization of lung SBRT using 68Ga-MAA PET/CT to reduce acute radiation-induced lung toxicity
Presenter
:
Malik NEBBACHE
,
France
Presentation Number:
-390
A Multimodal Machine Learning Model to Improve Early Recurrence Prediction after Neoadjuvant Chemoradiotherapy for Rectal Cancer
Presenter
:
Chenying Ma
,
China
Presentation Number:
-440
Multi-center MRI radiomics for recurrence prediction in anal squamous cell carcinoma using machine learning and a foundation model-based approach
Presenter
:
Lucas Zander
,
Germany
Presentation Number:
-678
Can PSMA PET Predict Local Recurrence After Radiotherapy of Prostate Cancer? A Validation Study of External PET-derived Radiomic Features
Presenter
:
Philipp Waibel
,
Germany
Presentation Number:
-899
Image-driven metrics of overall survival following surgery and chemo-radiation of glioblastoma patients
Presenter
:
Jacob Snäll
,
Sweden
Presentation Number:
-988
CT-based Predictors of Radiation-Induced Pulmonary Toxicity in Breast Cancer Patients
Presenter
:
Marco Fois
,
Italy
Presentation Number:
-1103
Longitudinal evaluation of quantitative MRI biomarkers on a 1.5T MR-Linac during prostate radiotherapy
Presenter
:
Anaïs Barateau
,
France
Presentation Number:
-1158
Generalizability of CT Radiomics for NSCLC Survival Prediction: Internal and External Validation
Presenter
:
Mengcheng Li
,
United Kingdom
Presentation Number:
-1582
PROTECT-DTI: A Multicenter Federated Imaging and Clinical Integration Program to Preserve White Matter in Stereotactic Brain Radiotherapy
Presenter
:
Paul RETIF
,
France
Presentation Number:
-1609
Multi-site trial evaluating FET-PET in Glioblastoma:Central review of FET-PET biologic target volume delineation for adjuvant radiotherapy planning.
Presenter
:
Angela Whitehead
,
Australia
Presentation Number:
-1785
Studying brain network hubs using T1-weighted MRI through complex network analysis
Presenter
:
Lucia Clara Orlandini
,
China
Presentation Number:
-1838
external validation of a multimodal AI-based model for prostate cancer radiation therapy outcome prediction from baseline MRI
Presenter
:
Benjamin Simon
,
United Kingdom
Presentation Number:
-2088
Noninvasive Prediction of Local Control Using CT Radiomics and Machine Learning After SABR for Colorectal Pulmonary Metastases
Presenter
:
donatella caivano
,
Italy
Presentation Number:
-2223
Associations of late toxicity after head and neck radiotherapy based on OAR doses and clinical characteristics
Presenter
:
Vera-Maria Enckell
,
Finland
Presentation Number:
-2633
Fully automatic selection of vascular input function for dynamic contrast-enhanced (DCE) MRI applied to brain, head and neck, and prostate
Presenter
:
Teo Asplund
,
Sweden
Presentation Number:
-2748
Prediction of adverse events using a novel prostate–rectum spacing metric in prostate SBRT
Presenter
:
Owen Mc Laughlin
,
United Kingdom
Presentation Number:
-2926
Effect of ROI definition on PET radiomics model performance in HNSCC
Presenter
:
Michael Vácha
,
Germany
Presentation Number:
-2960
A Clinically Implementable Model for Predicting complications after Stereotactic Radiosurgery of Brain lesions
Presenter
:
Arina Nadina
,
Russian Federation
Presentation Number:
-3141
Deep learning with pretreatment fluorodeoxyglucose positron emission tomography for recurrence prediction in locally advanced cervical cancer.
Presenter
:
Lev Paciorkowski
,
USA
Presentation Number:
-3300
The effect of input uncertainty on the reproducibility of perfusion parameter maps
Presenter
:
Alicia Palmér
,
Sweden
Presentation Number:
-3600
Intratumor variation in imaging and histological phenotypes of prostate cancer
Presenter
:
Erik Nilsson
,
Sweden
Presentation Number:
-3823
Temporal correlation between advanced DWI and Ki-67 in patients with skull base chordomas treated with carbon ion radiation therapy
Presenter
:
Fabio Casaccio
,
Italy
Presentation Number:
-3856
Temporal Stability of MR-Derived Radiomic Features During Radiotherapy for Locally Advanced Cervical Cancer
Presenter
:
Jasmine Morrison
,
United Kingdom
Presentation Number:
-3874
Exploring radiomics-based integrated molecular-morphologic classification in high-grade meningioma treated with proton therapy: preliminary insights
Presenter
:
Silvia Molinelli
,
Italy
Presentation Number:
-4015
Validation of Apparent Diffusion Coefficient as a Quantitative Imaging Biomarker for Pancreatic Cancer on a 1.5T MR-Linac
Presenter
:
Christelle Bouchart
,
Belgium
Presentation Number:
-4061
Re-irradiation in pediatric brain tumors - An exploratory analysis.
Presenter
:
Parag Mude
,
India
Presentation Number:
-4086
Lymphocyte loss during CRT of rectal cancer: prediction with a dynamic flow model.
Presenter
:
Celia Juan-Cruz
,
The Netherlands
Presentation Number:
-4165
The Radiomic Fingerprint of the Marrow: Predicting Blood Toxicity before Lung Cancer Radiotherapy
Presenter
:
Guillermo Canterla Casas
,
Spain
Presentation Number:
-4455
A Quantitative Susceptibility–Based Framework for Cerebral Metabolic Rate of O? and pO2 Estimation: validation with Digital and Realistic MRI Phantoms
Presenter
:
Paolo Fenech
,
Italy
Presentation Number:
-4695
Volumetric dose and image-based analysis of the vaginal wall for predicting vaginal stenosis after cervical cancer brachytherapy
Presenter
:
Henrike Westerveld
,
The Netherlands
Presentation Number:
-4726
Deep learning CT-derived immune phenotypes predict recurrence and survival in the RADCURE oropharyngeal cancer cohort
Presenter
:
André Haraldsson
,
Sweden
Presentation Number:
-4818
Low-dose distribution predicts radiation pneumonitis in esophageal cancer: impact of gastroesophageal junction involvement
Presenter
:
Rachele Grazziotin Reisner
,
Brazil
Presentation Number:
-4821
Temporal ADC dynamics on a 0.35 T MR-Linac as an early response biomarker in rectal cancer
Presenter
:
Lorenzo Placidi
,
Italy
Presentation Number:
-4969
Visualization for Detecting Lung SBRT Failure Patterns Through CT-Biological Effective Dose Interaction – A Vision Transformer Approach
Presenter
:
SHUO WANG
,
USA
Presentation Number:
-5143
Predicting Radiological Response to Stereotactic Ablative Radiotherapy in Early-Stage NSCLC Using Clinical and Radiomics-Based Machine Learning Models
Presenter
:
Victor Hernandez
,
Spain
Presentation Number:
-5153
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