Non-invasive CT radiomic biomarkers predict microsatellite stability status in colorectal cancer: a multicenter validation study

Authors: Zuhir Bodalal, Eun Kyoung Hong, Stefano Trebeschi, Ieva Kurilova, Federica Landolfi, Nino Bogveradze, Francesca Castagnoli, Giovanni Randon, Petur Snaebjornsson, Filippo Pietrantonio, Jeong Min Lee, Geerard Beets, Regina Beets-Tan

Source: European Radiology Experimental, Vol 8, Iss 1, Pp 1-13 (2024)

Subject Terms: Colorectal neoplasms, DNA mismatch repair, Machine learning, Microsatellite instability, Radiomics, Medical physics. Medical radiology. Nuclear medicine, R895-920

File Description: electronic resource

Relation: https://doaj.org/toc/2509-9280

Access URL: https://doaj.org/article/a914467441464f6793a7074a31ab4b6c

A whirl of radiomics-based biomarkers in cancer immunotherapy, why is large scale validation still lacking?

Authors: Marta Ligero, Bente Gielen, Victor Navarro, Pablo Cresta Morgado, Olivia Prior, Rodrigo Dienstmann, Paolo Nuciforo, Stefano Trebeschi, Regina Beets-Tan, Evis Sala, Elena Garralda, Raquel Perez-Lopez

Source: npj Precision Oncology, Vol 8, Iss 1, Pp 1-9 (2024)

Subject Terms: Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282

File Description: electronic resource

Relation: https://doaj.org/toc/2397-768X

Access URL: https://doaj.org/article/49b9928b68a74233b3c504afa90ca7b9

Reproducing RECIST lesion selection via machine learning: Insights into intra and inter-radiologist variation

Authors: Teresa M. Tareco Bucho, Liliana Petrychenko, Mohamed A. Abdelatty, Nino Bogveradze, Zuhir Bodalal, Regina G.H. Beets-Tan, Stefano Trebeschi

Source: European Journal of Radiology Open, Vol 12, Iss , Pp 100562- (2024)

Subject Terms: RECIST, Cancer imaging, Machine learning, Variability, Reproducibility, Medical physics. Medical radiology. Nuclear medicine, R895-920

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2352047724000170; https://doaj.org/toc/2352-0477

Access URL: https://doaj.org/article/8d4bc418077c45b7b8ebb6220c0221b8

Radiomic signatures from T2W and DWI MRI are predictive of tumour hypoxia in colorectal liver metastases

Authors: Zuhir Bodalal, Nino Bogveradze, Leon C. ter Beek, Jose G. van den Berg, Joyce Sanders, Ingrid Hofland, Stefano Trebeschi, Kevin B. W. Groot Lipman, Koen Storck, Eun Kyoung Hong, Natalya Lebedyeva, Monique Maas, Regina G. H. Beets-Tan, Fernando M. Gomez, Ieva Kurilova

Source: Insights into Imaging, Vol 14, Iss 1, Pp 1-13 (2023)

Subject Terms: Colorectal cancer, Colorectal liver metastasis, Hypoxia, MRI, Radiomics, Medical physics. Medical radiology. Nuclear medicine, R895-920

File Description: electronic resource

Relation: https://doaj.org/toc/1869-4101

Access URL: https://doaj.org/article/8f47d1eecd75484e803954fae379eb51

Radiomics-based machine learning differentiates 'ground-glass' opacities due to COVID-19 from acute non-COVID-19 lung disease

Authors: Andrea Delli Pizzi, Antonio Maria Chiarelli, Piero Chiacchiaretta, Cristina Valdesi, Pierpaolo Croce, Domenico Mastrodicasa, Michela Villani, Stefano Trebeschi, Francesco Lorenzo Serafini, Consuelo Rosa, Giulio Cocco, Riccardo Luberti, Sabrina Conte, Lucia Mazzamurro, Manuela Mereu, Rosa Lucia Patea, Valentina Panara, Stefano Marinari, Jacopo Vecchiet, Massimo Caulo

Source: Scientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)

Subject Terms: Medicine, Science

File Description: electronic resource

Relation: https://doaj.org/toc/2045-2322

Access URL: https://doaj.org/article/ca0ccf9204d9467b9413f9ffef0d7789

MRI-based clinical-radiomics model predicts tumor response before treatment in locally advanced rectal cancer

Authors: Andrea Delli Pizzi, Antonio Maria Chiarelli, Piero Chiacchiaretta, Martina d’Annibale, Pierpaolo Croce, Consuelo Rosa, Domenico Mastrodicasa, Stefano Trebeschi, Doenja Marina Johanna Lambregts, Daniele Caposiena, Francesco Lorenzo Serafini, Raffaella Basilico, Giulio Cocco, Pierluigi Di Sebastiano, Sebastiano Cinalli, Antonio Ferretti, Richard Geoffrey Wise, Domenico Genovesi, Regina G. H. Beets-Tan, Massimo Caulo

Source: Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)

Subject Terms: Medicine, Science

File Description: electronic resource

Relation: https://doaj.org/toc/2045-2322

Access URL: https://doaj.org/article/e15e3b93b771497aa142f4bcc55d02ff

Development of a Prognostic AI-Monitor for Metastatic Urothelial Cancer Patients Receiving Immunotherapy

Authors: Stefano Trebeschi, Zuhir Bodalal, Nick van Dijk, Thierry N. Boellaard, Paul Apfaltrer, Teresa M. Tareco Bucho, Thi Dan Linh Nguyen-Kim, Michiel S. van der Heijden, Hugo J. W. L. Aerts, Regina G. H. Beets-Tan

Source: Frontiers in Oncology, Vol 11 (2021)

Subject Terms: artificial intelligence, immunotherapy, checkpoint inhibitors, urothelial cancer, treatment monitoring, imaging - computed tomography, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282

File Description: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fonc.2021.637804/full; https://doaj.org/toc/2234-943X

Access URL: https://doaj.org/article/a082eb8b0699408e814e9ba534fe367c

Prognostic Value of Deep Learning-Mediated Treatment Monitoring in Lung Cancer Patients Receiving Immunotherapy

Authors: Stefano Trebeschi, Zuhir Bodalal, Thierry N. Boellaard, Teresa M. Tareco Bucho, Silvia G. Drago, Ieva Kurilova, Adriana M. Calin-Vainak, Andrea Delli Pizzi, Mirte Muller, Karlijn Hummelink, Koen J. Hartemink, Thi Dan Linh Nguyen-Kim, Egbert F. Smit, Hugo J. W. L. Aerts, Regina G. H. Beets-Tan

Source: Frontiers in Oncology, Vol 11 (2021)

Subject Terms: artificial intelligence, immunotherapy, checkpoint inhibitors, non small cell lung cancer, treatment monitoring, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282

File Description: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fonc.2021.609054/full; https://doaj.org/toc/2234-943X

Access URL: https://doaj.org/article/ffb91a99007c454486ad28fdf5ff1d56

Modern MR Imaging Technology in Rectal Cancer; There Is More Than Meets the Eye

Authors: Hester E. Haak, Monique Maas, Stefano Trebeschi, Regina G. H. Beets-Tan

Source: Frontiers in Oncology, Vol 10 (2020)

Subject Terms: rectal cancer, MR imaging, organ preservation, functional imaging, artificial intelligence, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282

File Description: electronic resource

Relation: https://www.frontiersin.org/article/10.3389/fonc.2020.537532/full; https://doaj.org/toc/2234-943X

Access URL: https://doaj.org/article/97efd63badd7428a88afde20874678d8

Radiomics: a critical step towards integrated healthcare

Authors: Zuhir Bodalal, Stefano Trebeschi, Regina Beets-Tan

Source: Insights into Imaging, Vol 9, Iss 6, Pp 911-914 (2018)

Subject Terms: Quantitative imaging, Radiomics, Deep learning, Healthcare systems, Integrated systems, Medical physics. Medical radiology. Nuclear medicine, R895-920

File Description: electronic resource

Relation: http://link.springer.com/article/10.1007/s13244-018-0669-3; https://doaj.org/toc/1869-4101

Access URL: https://doaj.org/article/6967b002090c4747a0d815657e6e5f94

Deep Learning for Fully-Automated Localization and Segmentation of Rectal Cancer on Multiparametric MR

Authors: Stefano Trebeschi, Joost J. M. van Griethuysen, Doenja M. J. Lambregts, Max J. Lahaye, Chintan Parmar, Frans C. H. Bakers, Nicky H. G. M. Peters, Regina G. H. Beets-Tan, Hugo J. W. L. Aerts

Source: Scientific Reports, Vol 7, Iss 1, Pp 1-9 (2017)

Subject Terms: Medicine, Science

File Description: electronic resource

Relation: https://doaj.org/toc/2045-2322

Access URL: https://doaj.org/article/530f2a985a074fb7bdfb89c6da9063f9

Author Correction: Deep Learning for Fully-Automated Localization and Segmentation of Rectal Cancer on Multiparametric MR

Authors: Stefano Trebeschi, Joost J. M. van Griethuysen, Doenja M. J. Lambregts, Max J. Lahaye, Chintan Parmar, Frans C. H. Bakers, Nicky H. G. M. Peters, Regina G. H. Beets-Tan, Hugo J. W. L. Aerts

Source: Scientific Reports, Vol 8, Iss 1, Pp 1-1 (2018)

Subject Terms: Medicine, Science

File Description: electronic resource

Relation: https://doaj.org/toc/2045-2322

Access URL: https://doaj.org/article/d7a82e8761924ca18cef56a36bc8f91b