International Clinical Validation of Radiomics Artificial Intelligence for Breast Cancer Treatment Planning

Informazioni relative al progetto

RadioVal

ID dell’accordo di sovvenzione: 101057699

DOI

10.3030/101057699

Data della firma CE 19 Maggio 2022

Data di avvio 1 Settembre 2022

Data di completamento 31 Agosto 2026

Finanziato da

• Health

Costo totale

€ 5 838 576,00

Contributo UE

€ 5 838 576,00

Coordinato da

UNIVERSITAT DE BARCELONA
Spain

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Websites, patent fillings, videos etc. (1)

Project website

Project website is launched.

Documents, reports (4)

Study initiation package
Communication material
Plan for dissemination and exploitation incl. communication activities
Social innovation framework

A social innovation framework to compile multi-stakeholder requirements and pathways for enhancing radiomics evaluation and implementation in breast cancer.

Pubblicazioni

Peer reviewed articles (13)

Breast radiotherapy planning: A decision‐making framework using deep learning

Autori: Pedro Gallego, Eva Ambroa, Jaime PérezAlija, Nuria Jornet, Cristina Anson, Natalia Tejedor, Helena Vivancos, Agust Ruiz, Marta Barceló, Alejandro Dominguez, Victor Riu, Javier Roda, Pablo Carrasco, Simone Balocco, Oliver Díaz
Pubblicato in: Medical Physics, Numero 52, 2025, ISSN 0094-2405
Editore: Wiley
DOI: 10.1002/MP.17527

FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare

Autori: Lekadir, Karim; Feragen, Aasa; Fofanah, Abdul Joseph; Frangi, Alejandro F; Buyx, Alena; Emelie, Anais; Lara, Andrea; Porras, Antonio R; Chan, An-Wen; Navarro, Arcadi; Glocker, Ben; Botwe, Benard O; Khanal, Bishesh; Beger, Brigit; Wu, Carol C; Cintas, Celia; Langlotz, Curtis P; Rueckert, Daniel; Mzurikwao, Deogratias; Fotiadis, Dimitrios I; Zhussupov, Doszhan; Ferrante, Enzo; Meijering, Erik; Weicken, Eva; González, Fabio A; Asselbergs, Folkert W; Prior, Fred; Krestin, Gabriel P; Collins, Gary; Tegenaw, Geletaw S; Kaissis, Georgios; Misuraca, Gianluca; Tsakou, Gianna; Dwivedi, Girish; Kondylakis, Haridimos; Jayakody, Harsha; Woodruf, Henry C; Mayer, Horst Joachim; Aerts, Hugo JWL; Walsh, Ian; Chouvarda, Ioanna; Buvat, Irène; Tributsch, Isabell; Rekik, Islem; Duncan, James; Kalpathy-Cramer, Jayashree; Zahir, Jihad; Park, Jinah; Mongan, John; Gichoya, Judy W; Schnabel, Julia A; Kushibar, Kaisar; Riklund, Katrine; Mori, Kensaku; Marias, Kostas; Amugongo, Lameck M; Fromont, Lauren A; Maier-Hein, Lena; Alberich, Leonor Cerdá; Rittner, Leticia; Phiri, Lighton; Marrakchi-Kacem, Linda; Donoso-Bach, Lluís; Martí-Bonmatí, Luis; Cardoso, M Jorge; Bobowicz, Maciej; Shabani, Mahsa; Tsiknakis, Manolis; Zuluaga, Maria A; Bielikova, Maria; Fritzsche, Marie-Christine; Camacho, Marina; Linguraru, Marius George; Wenzel, Markus; De Bruijne, Marleen; Tolsgaard, Martin G; Ghassemi, Marzyeh; Ashrafuzzaman, Md; Goisauf, Melanie; Yaqub, Mohammad; Abadía, Mónica Cano; Mahmoud, Mukhtar M E; Elattar, Mustafa; Rieke, Nicola; Papanikolaou, Nikolaos; Lazrak, Noussair; Díaz, Oliver; Salvado, Olivier; Pujol, Oriol; Sall, Ousmane; Guevara, Pamela; Gordebeke, Peter; Lambin, Philippe; Brown, Pieta; Abolmaesumi, Purang; Dou, Qi; Lu, Qinghua; Osuala, Richard; Nakasi, Rose; Zhou, S Kevin; Napel, Sandy; Colantonio, Sara; Albarqouni, Shadi; Joshi, Smriti; Carter, Stacy; Klein, Stefan; Petersen, Steffen E; Aussó, Susanna; Awate, Suyash; Raviv, Tammy Riklin; Cook, Tessa; Mutsvangwa, Tinashe E M; Rogers, Wendy A; Niessen, Wiro J; Puig-Bosch, Xènia; Zeng, Yi; Mohammed, Yunusa G; Aquino, Yves Saint James; Salahuddin, Zohaib; Starmans, Martijn P A
Pubblicato in: BMJ, Numero 388, 2025, ISSN 1756-1833
Editore: BMJ
DOI: 10.48550/ARXIV.2309.12325

Image Quality Assessment Tool for Conventional and Dynamic Magnetic Resonance Imaging Acquisitions

Autori: Katerina Nikiforaki; Ioannis Karatzanis; Aikaterini Dovrou; Maciej Bobowicz; Katarzyna Gwozdziewicz; Oliver Díaz; Manolis Tsiknakis; Dimitrios I. Fotiadis; Karim Lekadir; Kostas Marias
Pubblicato in: Journal of Imaging, Numero 10(5), 2024, ISSN 2313-433X
Editore: MDPI
DOI: 10.3390/JIMAGING10050115

A large-scale multicenter breast cancer DCE-MRI benchmark dataset with expert segmentations

Autori: Lidia Garrucho; Kaisar Kushibar; Claire-Anne Reidel; Smriti Joshi; Richard Osuala; Apostolia Tsirikoglou; Maciej Bobowicz; Javier del Riego; Alessandro Catanese; Katarzyna Gwoździewicz; Maria-Laura Cosaka; Pasant M. Abo-Elhoda; Sara W. Tantawy; Shorouq S. Sakrana; Norhan O. Shawky-Abdelfatah; Amr Muhammad Abdo Salem; Androniki Kozana; Eugen Divjak; Gordana Ivanac; Katerina Nikiforaki; Michail E. Klontzas; Rosa García-Dosdá; Meltem Gulsun-Akpinar; Oğuz Lafcı; Ritse Mann; Carlos Martín-Isla; Fred Prior; Kostas Marias; Martijn P. A. Starmans; Fredrik Strand; Oliver Díaz; Laura Igual; Karim Lekadir
Pubblicato in: Scientific Data, Numero 12, 2025, ISSN 2052-4463
Editore: Nature
DOI: 10.48550/ARXIV.2406.13844

Public data homogenization for AI model development in breast cancer

Autori: Vassilis Kilintzis, Varvara Kalokyri, Haridimos Kondylakis, Smriti Joshi, Katerina Nikiforaki, Oliver Díaz, Karim Lekadir, Manolis Tsiknakis & Kostas Marias
Pubblicato in: European Radiology Experimental, Numero European Radiology Experimental volume 8, Article number: 42 (2024), 2024, ISSN 2509-9280
Editore: Springer Open
DOI: 10.1186/s41747-024-00442-4

Public data homogenization for AI model development in breast cancer

Autori: Vassilis Kilintzis, Varvara Kalokyri, Haridimos Kondylakis, Smriti Joshi, Katerina Nikiforaki, Oliver Díaz, Karim Lekadir, Manolis Tsiknakis, Kostas Marias
Pubblicato in: European Radiology Experimental, Numero 8, 2024, ISSN 2509-9280
Editore: Springer Science and Business Media LLC
DOI: 10.1186/S41747-024-00442-4

Pre- to Post-Contrast Breast MRI Synthesis for Enhanced Tumour Segmentation

Autori: Osuala, Richard; Joshi, Smriti; Tsirikoglou, Apostolia; Garrucho, Lidia; Pinaya, Walter H. L.; Diaz, Oliver; Lekadir, Karim
Pubblicato in: Journal of Medical Imaging, 2023, ISSN 2329-4302
Editore: SPIE
DOI: 10.48550/arxiv.2311.10879

Categorising challenges and solutions towards ethical AI in breast cancer treatment: a rapid umbrella review complemented by participatory methods

Autori: Carina Dantas; Miriam Cabrita; Luís Midão; Ana Sofia Carvalho; Elísio Costa
Pubblicato in: AI and Ethics, Numero 5, 2025, ISSN 2730-5961
Editore: Springer
DOI: 10.1007/S43681-025-00777-7

Artificial Intelligence for breast cancer detection: Technology, challenges, and prospects

Autori: Díaz, Oliver; Rodríguez-Ruíz, Alejandro; Sechopoulos, Ioannis
Pubblicato in: European Journal of Radiology, Numero 175, 2024, ISSN 1872-7727
Editore: Elsevier
DOI: 10.1016/J.EJRAD.2024.111457

Simulating dynamic tumor contrast enhancement in breast MRI using conditional generative adversarial networks

Autori: Richard Osuala, Smriti Joshi, Apostolia Tsirikoglou, Lidia Garrucho, Walter H. L. Pinaya, Daniel M. Lang, Julia A. Schnabel, Oliver Diaz, Karim Lekadir
Pubblicato in: Journal of Medical Imaging, Numero 12, 2025, ISSN 2329-4302
Editore: SPIE-Intl Soc Optical Eng
DOI: 10.1117/1.JMI.12.S2.S22014

Methodological approaches in the economic evaluation of prognostic and predictive companion diagnostics: a systematic scoping review

Autori: Tuukka Hakkarainen, Haavisto Ira, Leskelä Riikka-Leena
Pubblicato in: Expert Review of Pharmacoeconomics & Outcomes Research, Numero 25, 2025, ISSN 1473-7167
Editore: Taylor & Francis
DOI: 10.1080/14737167.2025.2519744

Standardised lesion segmentation for imaging biomarker quantitation: a consensus recommendation from ESR and EORTC

Autori: DeSouza, Nandita M; Van der Lugt, Aad; Deroose, Christophe M; Alberich-Bayarri, Angel; Bidaut, Luc; Fournier, Laure; Costaridou, Lena; Oprea-Lager, Daniela E; Kotter, Elmar; Smits, Marion; Mayerhoefer, Marius E; Boellaard, Ronald; Caroli, Anna; De Geus-Oei, Lioe-Fee; Kunz, Wolfgang G; Oei, Edwin H; Lecouvet, Frederic; Franca, Manuela; Loewe, Christian; Lopci, Egesta; Caramella, Caroline; Persson, Anders; Golay, Xavier; Dewey, Marc; O'Connor, James PB; DeGraaf, Pim; Gatidis, Sergios; Zahlmann, Gudrun; European Society of Radiology; European Organisation for Research and Treatment of Cancer
Pubblicato in: Insights into Imaging , 13 , Article 159, 2022, ISSN 1869-4101
Editore: Springer Science and Business Media Deutschland GmbH
DOI: 10.1186/s13244-022-01287-4

Differences in technical and clinical perspectives on AI validation in cancer imaging: mind the gap!

Autori: Ioanna Chouvarda, Sara Colantonio, Ana S. C. Verde, Ana Jimenez-Pastor, Leonor Cerdá-Alberich, Yannick Metz, Lithin Zacharias, Shereen Nabhani-Gebara, Maciej Bobowicz, Gianna Tsakou, Karim Lekadir, Manolis Tsiknakis, Luis Martí-Bonmati, Nikolaos Papanikolaou
Pubblicato in: European Radiology Experimental, Numero 9, 2025, ISSN 2509-9280
Editore: Springer Science and Business Media LLC
DOI: 10.1186/S41747-024-00543-0

Other (1)

medigan: a Python library of pretrained generative models for medical image synthesis

Autori: Osuala, Richard; Skorupko, Grzegorz; Lazrak, Noussair; Garrucho, Lidia; García, Eloy; Joshi, Smriti; Jouide, Socayna; Rutherford, Michael; Prior, Fred; Kushibar, Kaisar; Diaz, Oliver; Lekadir, Karim
Pubblicato in: Journal of Medical Imaging, 2023, ISSN 2329-4302
Editore: SPIE
DOI: 10.48550/arxiv.2209.14472

Book chapters (2)

Stakeholder Engagement for Trustworthy AI: Experiences and Results from the RadioVal Project on Breast Cancer Imaging

Autori: Miriam Cabrita, Carina Dantas, Harm op den Akker, Maciej Bobowicz, Silvia Navarro, Gloria Ribas, Dimitri Kessler, Richard Osuala, Oliver Díaz, Karim Lekadir, Smriti Joshi
Pubblicato in: Trustworthy AI in Cancer Imaging Research, 2025
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-89963-8_3

The Clinical Considerations for Trustworthy AI in Oncologic Imaging

Autori: Maciej Bobowicz, Dow-Mu Koh, Tobias Penzkofer, Daniele Regge, Katrine Riklund, Pedro-Miguel Martinez-Girones, Jurgen Fütterer, Karim Lekadir, Gianna Tsakou, Luis Marti-Bonmati
Pubblicato in: Trustworthy AI in Cancer Imaging Research, 2025, ISBN 978-3-031-89963-8
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-89963-8_2

Conference proceedings (3)

Towards Learning Contrast Kinetics with Multi-condition Latent Diffusion Models

Autori: Richard Osuala, Daniel M. Lang, Preeti Verma, Smriti Joshi, Apostolia Tsirikoglou, Grzegorz Skorupko, Kaisar Kushibar, Lidia Garrucho, Walter H. L. Pinaya, Oliver Diaz, Julia A. Schnabel, Karim Lekadir
Pubblicato in: Lecture Notes in Computer Science, Medical Image Computing and Computer Assisted Intervention – MICCAI 2024, 2024
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-72086-4_67

Leveraging epistemic uncertainty to improve tumour segmentation in breast MRI: an exploratory analysis

Autori: Smriti Joshi, Richard O. Osuala, Lidia Garrucho, Apostolia Tsirikoglou, Javier D. Riego, Katarzyna Gwozdziewicz, Kaisar Kushibar, Oliver Diaz, Karim Lekadir
Pubblicato in: Medical Imaging 2024: Image Processing, 2024
Editore: SPIE
DOI: 10.1117/12.3006783

From the clinic: A survey on trustworthy AI in breast cancer^*

Autori: Smriti Joshi, Anais Emelie, Maciej Bobowicz, Gianna Tsakou, Stefanie Charalambous, Zohaib Salahuddin, Oliver Diaz, Karim Lekadir
Pubblicato in: 2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, 2024
Editore: IEEE
DOI: 10.1109/IEEECONF58974.2023.10405028