Publications

Stefano Trebeschi

2025

  1. Measurement variability of radiologists when measuring brain tumors
    European Journal of Radiology
    I. Van Der Loo, T. M. T. Bucho, J. A. Hanley, R. G. Beets-Tan, A. L. Imholz, S. Trebeschi, 2025, 183
    doi
    Abstract
  2. RECIST progression: Patterns among target, non-target, non-measurable and new lesions progression
    European Journal of Radiology
    T. M. Tareco Bucho, L. Pascucci, G. Mancò, A. Taraschi, M. C. Macchia, N. Tinari, D. Brocco, R. G. Beets-Tan, A. D. Pizzi, S. Trebeschi, 2025
    doi
    Abstract

2024

  1. Reproducing RECIST lesion selection via machine learning: Insights into intra and inter-radiologist variation
    European Journal of Radiology Open
    T. M. Tareco Bucho, L. Petrychenko, M. A. Abdelatty, N. Bogveradze, Z. Bodalal, R. G. Beets-Tan, S. Trebeschi, 2024, 12
    doi paper (open access)
    Abstract
  2. Can blood-based markers predict RECIST progression in non-small cell lung cancer treated with immunotherapy?
    Journal of Cancer Research and Clinical Oncology
    M. Yeghaian, T. M. Tareco Bucho, M. De Bruin, A. Schmitz, Z. Bodalal, E. F. Smit, R. G. H. Beets-Tan, D. Van Den Broek, S. Trebeschi, 2024, 150;(6)
    doi paper (open access)
    Abstract
  3. Multimodal Integration of Longitudinal Noninvasive Diagnostics for Survival Prediction in Immunotherapy Using Deep Learning
    M. Yeghaian, Z. Bodalal, D. V. D. Broek, J. B. A. G. Haanen, R. G. H. Beets-Tan, S. Trebeschi, M. A. J. Van Gerven, 2024
    doi
    Abstract
  4. Muscle atrophy and organ enlargement associated with quality of life during systemic therapy for melanoma: findings from an AI-based body composition analysis
    European Radiology
    I. Fraterman, L. E. Cerquin, K. M. De Ligt, I. Van Der Loo, S. Wilgenhof, L. V. Van De Poll-Franse, R. G. H. Beets-Tan, R. L. M. Tissier, S. Trebeschi, 2024
    doi
    Abstract
  5. Integrated noninvasive diagnostics for prediction of survival in immunotherapy
    Immuno-Oncology and Technology
    M. Yeghaian, Z. Bodalal, T. Tareco Bucho, I. Kurilova, C. Blank, E. Smit, M. Van Der Heijden, T. Nguyen-Kim, D. Van Den Broek, R. Beets-Tan, S. Trebeschi, 2024, 24
    doi
    Abstract

2023

  1. Is the generalizability of a developed artificial intelligence algorithm for COVID-19 on chest CT sufficient for clinical use? Results from the International Consortium for COVID-19 Imaging AI (ICOVAI)
    European Radiology
    L. Topff, K. B. W. Groot Lipman, F. Guffens, R. Wittenberg, A. Bartels-Rutten, G. Van Veenendaal, M. Hess, K. Lamerigts, J. Wakkie, E. Ranschaert, S. Trebeschi, J. J. Visser, R. G. H. Beets-Tan, J. Guiot, A. Snoeckx, P. Kint, L. Van Hoe, C. C. Quattrocchi, D. Dieckens, S. Lounis, E. Schulze, A. E. Sjer, N. Van Vucht, J. A. Tielbeek, F. Raat, D. Eijspaart, A. Abbas, 2023, 33;(6):4249-4258
    doi paper (open access)
    Abstract
  2. Radiomic signatures from T2W and DWI MRI are predictive of tumour hypoxia in colorectal liver metastases
    Insights into Imaging
    Z. Bodalal, N. Bogveradze, L. C. Ter Beek, J. G. Van Den Berg, J. Sanders, I. Hofland, S. Trebeschi, K. B. W. Groot Lipman, K. Storck, E. K. Hong, N. Lebedyeva, M. Maas, R. G. H. Beets-Tan, F. M. Gomez, I. Kurilova, 2023, 14;(1)
    doi paper (open access)
    Abstract
  3. Artificial Intelligence–based Quantification of Pleural Plaque Volume and Association With Lung Function in Asbestos-exposed Patients
    Journal of Thoracic Imaging
    K. B. Groot Lipman, T. N. Boellaard, C. J. De Gooijer, N. Bogveradze, E. K. Hong, F. Landolfi, F. Castagnoli, N. Vakhidova, I. Smesseim, F. Van Der Heijden, R. G. Beets-Tan, R. Wittenberg, Z. Bodalal, J. A. Burgers, S. Trebeschi, 2023
    doi paper (open access)
    Abstract
  4. How Does Target Lesion Selection Affect RECIST? A Computer Simulation Study
    Investigative Radiology
    T. M. Tareco Bucho, R. L. Tissier, K. B. Groot Lipman, Z. Bodalal, A. Delli Pizzi, T. D. L. Nguyen-Kim, R. G. Beets-Tan, S. Trebeschi, 2023
    doi paper (open access)
    Abstract

2022

  1. Artificial intelligence-based diagnosis of asbestosis: analysis of a database with applicants for asbestosis state aid
    European Radiology
    K. B. W. Groot Lipman, C. J. De Gooijer, T. N. Boellaard, F. Van Der Heijden, R. G. H. Beets-Tan, Z. Bodalal, S. Trebeschi, J. A. Burgers, 2022, 33;(5):3557-3565
    doi paper (open access)
    Abstract
  2. The Future of Artificial Intelligence Applied to Immunotherapy Trials
    Neoadjuvant Immunotherapy Treatment of Localized Genitourinary Cancers
    Z. Bodalal, S. Trebeschi, I. Wamelink, K. G. Lipman, T. Bucho, N. Van Dijk, T. Boellaard, S. Waktola, R. G. H. Beets-Tan, 2022
    doi
    Abstract
  3. Imaging of colorectal nodal disease
    The Lymphatic System in Colorectal Cancer
    L. Cai, Z. Bodalal, S. Trebeschi, S. Waktola, T. C. Sluckin, M. Kusters, M. Maas, R. Beets-Tan, S. Benson, 2022
    doi
    Abstract

2021

  1. Artificial intelligence-mediated diagnosis of asbestosis
    ILD / DPLD of known origin
    K. B. W. G. Lipman, C. J. De Gooijer, T. N. Boellaard, F. Van Der Heijden, R. G. H. Beets-Tan, Z. Bodalal, S. Trebeschi, S. Burgers, 2021
    doi
    Abstract
  2. Pleural plaque volume correlation to lung function and artificial intelligence-driven pleural plaque quantification
    ILD / DPLD of known origin
    K. B. W. G. Lipman, T. N. Boellaard, C. J. De Gooijer, N. Bogveradze, E. K. Hong, F. Landolfi, F. Castagnoli, L. C. Cavallo, N. Lebedyeva, F. Van Der Heijden, R. G. H. Beets-Tan, Z. Bodalal, S. Burgers, S. Trebeschi, 2021
    doi
    Abstract
  3. Prognostic Value of Deep Learning-Mediated Treatment Monitoring in Lung Cancer Patients Receiving Immunotherapy
    Frontiers in Oncology
    S. Trebeschi, Z. Bodalal, T. N. Boellaard, T. M. Tareco Bucho, S. G. Drago, I. Kurilova, A. M. Calin-Vainak, A. Delli Pizzi, M. Muller, K. Hummelink, K. J. Hartemink, T. D. L. Nguyen-Kim, E. F. Smit, H. J. W. L. Aerts, R. G. H. Beets-Tan, 2021, 11
    doi paper (open access)
    Abstract
  4. Development of a Prognostic AI-Monitor for Metastatic Urothelial Cancer Patients Receiving Immunotherapy
    Frontiers in Oncology
    S. Trebeschi, Z. Bodalal, N. Van Dijk, T. N. Boellaard, P. Apfaltrer, T. M. Tareco Bucho, T. D. L. Nguyen-Kim, M. S. Van Der Heijden, H. J. W. L. Aerts, R. G. H. Beets-Tan, 2021, 11
    doi paper (open access)
    Abstract