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Ziller, A.* ; Erdur, A.C.* ; Jungmann, F.* ; Rueckert, D.* ; Braren, R.* ; Kaissis, G.

Exploiting Segmentation Labels and Representation Learning to Forecast Therapy Response of PDAC Patients.

In: (Proceedings - International Symposium on Biomedical Imaging). 345 E 47th St, New York, Ny 10017 Usa: Ieee, 2023. 5 (Proceedings - International Symposium on Biomedical Imaging ; 2023-April)
DOI
The prediction of pancreatic ductal adenocarcinoma therapy response is a clinically challenging and important task in this high-mortality tumour entity. The training of neural networks able to tackle this challenge is impeded by a lack of large datasets and the difficult anatomical localisation of the pancreas. Here, we propose a hybrid deep neural network pipeline to predict tumour response to initial chemotherapy which is based on the Response Evaluation Criteria in Solid Tumors (RECIST) score, a standardised method for cancer response evaluation by clinicians as well as tumour markers, and clinical evaluation of the patients. We leverage a combination of representation transfer from segmentation to classification, as well as localisation and representation learning. Our approach yields a remarkably data-efficient method able to predict treatment response with a ROC-AUC of 63.7% using only 477 datasets in total.
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Publikationstyp Artikel: Konferenzbeitrag
Korrespondenzautor
Schlagwörter Pdac ; Personalised Treatment ; Representation Learning ; Transfer Learning
ISSN (print) / ISBN 1945-7928
e-ISSN 1945-8452
Konferenztitel Proceedings - International Symposium on Biomedical Imaging
Quellenangaben Band: 2023-April, Heft: , Seiten: 5 Artikelnummer: , Supplement: ,
Verlag Ieee
Verlagsort 345 E 47th St, New York, Ny 10017 Usa
Nichtpatentliteratur Publikationen
Institut(e) Helmholtz Artifical Intelligence Cooperation Unit (HAICU)
Institute for Machine Learning in Biomed Imaging (IML)
Förderungen German Cancer Consortium Joint Funding UPGRADE Programme: Subtyping of Pancreatic Cancer based on radiographic and pathological Features
German Research Foundation
European Research Council