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ESTRO 2026
Programme
Biomarkers of clinical response
15 May 2026 - 19 May 2026
Stockholm, Sweden
ESTRO 2026
Session
Biomarkers of clinical response
Session Type:
Digital Poster
Track:
Clinical
Journey:
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Cross-Cancer Identification of a Radiotherapy-Specific Prognostic Gene Signature Using Machine Learning
Presenter
:
YO LIANG LAI
,
Taiwan, Province of China
Presentation Number:
-312
Daily MRI-based bone marrow fat fraction quantification as a surrogate marker for radiation-induced lymphopenia
Presenter
:
Luka Liebrand
,
The Netherlands
Presentation Number:
-462
Clinical outcomes and prognostic value of inflammatory Biomarkers (NLR and PLR) in patients with anal canal carcinoma treated with chemoradiotherapy
Presenter
:
Barbara Gabriela Salas Salas
,
Spain
Presentation Number:
-1681
Inflammatory markers for response prediction in locally advanced rectal cancer: a single-center study
Presenter
:
Marco Lucarelli
,
Italy
Presentation Number:
-1889
SUVmax of Primary Pancreatic Tumors as a Marker of Metastatic Potential (A Study of 50 Cases)
Presenter
:
ouassafrar zakaria
,
Morocco
Presentation Number:
-2498
A robust biomarker combining Radiomic and CA19.9 information to predict Distant Relapse-free Survival after Radiochemotherapy in  Pancreatic Cancer
Presenter
:
Claudio Fiorino
,
Italy
Presentation Number:
-2679
Bayesian Response-Adaptive Trial Design for Integrating Biomarkers for Personalized Radiotherapy
Presenter
:
Maximilian Niyazi
,
Germany
Presentation Number:
-2991
Histology-based prediction of distant metastasis in nasopharyngeal carcinoma via multitask deep learning
Presenter
:
Liuling Wang
,
China
Presentation Number:
-3128
Prognostic Significance and Utility of the PCA3 Score in Post-Treatment Surveillance of Prostate Cancer Patients Treated with Radiotherapy
Presenter
:
Pantea Bayatfard
,
Turkey
Presentation Number:
-3297
The role of PSMA PET/CT and WB-MRI as imaging biomarkers of response in metastatic hormone-sensitive prostate cancer: a systematic review
Presenter
:
Claire Thompson
,
United Kingdom
Presentation Number:
-3466
non-invasive detection of prostate cancer via urinary carbohydrate metabolite profiling using mass spectrometry and machine learning
Presenter
:
Jeffrey Yungchuan Chao
,
Taiwan, Province of China
Presentation Number:
-4011
Utilizing Machine Learning on MR-Linac daily images as biomarkers for GBM patients’ response prediction in Adaptive RT: preliminary results
Presenter
:
Edoardo Salmeri
,
Italy
Presentation Number:
-4286
AI-Driven Radiomic Modeling Improves Prediction of Local Progression in Pancreatic Ductal Adenocarcinoma Treated with Chemoradiotherapy
Presenter
:
Gabriele D'Ercole
,
Italy
Presentation Number:
-4359
MRI-based radiomics for predicting pathological response to preoperative radiotherapy in myxoid liposarcoma
Presenter
:
Silvia Ruggeri
,
Italy
Presentation Number:
-4692
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