Personal profile
Research interests
Barrett’s esophagus (BE) is a known precursor for esophageal adenocarcinoma (EAC). Therefore, BE patients undergo regular surveillance with white-light endoscopy and quadrantic random biopsies. However, the current surveillance protocol is not efficient since early cancer is often missed due to subtle appearance upon endoscopy and sampling error. Volumetric Laser Endomicroscopy (VLE) is a new balloon-based system, that provides a 3D scan of the Barrett’s segment during endoscopy. This enables evaluation of the entire Barrett’s segment including subsurface layers, leading to better detection of early cancer. In addition, with the new VLE laser marking tool, suspicious areas can be directly marked and sampled. Due to the amount of data and subtle gray shades, interpretation of VLE scans by the human eye seems complex. Therefore, automated image analysis algorithms may be of great additional value to aid in detection of BE neoplasia on VLE scans.
Objectives: The aim of this study is to evaluate and validate a clinical VLE prediction score and a VLE computer algorithm for the detection of BE neoplasia.
Specialisation
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being
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Collaborations and top research areas from the last five years
Research output
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GastroNet-5M: A Multicenter Dataset for Developing Foundation Models in Gastrointestinal Endoscopy
Jong, M. R., Boers, T. G. W., Fockens, K. N., Jukema, J. B., Kusters, C. H. J., Jaspers, T. J. M., van Eijck van Heslinga, R. A. H., Slooter, F. C., Struyvenberg, M. R. & BONS-AI consortium, Jan 2026, In: Gastroenterology. 170, 1, p. 174-187 14 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile23 Downloads (Pure) -
Foundation models in gastrointestinal endoscopic AI: Impact of architecture, pre-training approach and data efficiency
Boers, T. G. W., Fockens, K. N., van der Putten, J. A., Jaspers, T. J. M., Kusters, C. H. J., Jukema, J. B., Jong, M. R., Struyvenberg, M. R., de Groof, J., Bergman, J. J., de With, P. H. N. & van der Sommen, F., 1 Dec 2024, In: Medical image analysis. 98, 103298.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile58 Downloads (Pure) -
A computer-assisted algorithm for narrow-band imaging-based tissue characterization in Barrett's esophagus
Struyvenberg, M. R., de Groof, A. J., van der Putten, J., van der Sommen, F., Baldaque-Silva, F., Omae, M., Pouw, R., Bisschops, R., Vieth, M., Schoon, E. J., Curvers, W. L., de With, P. H. & Bergman, J. J., Jan 2021, In: Gastrointestinal endoscopy. 93, 1, p. 89-98 10 p.Research output: Contribution to journal › Article › Academic › peer-review
Open Access -
Advanced Imaging and Sampling in Barrett's Esophagus: Artificial Intelligence to the Rescue?
Struyvenberg, M. R., de Groof, A. J., Bergman, J. J., van der Sommen, F., de With, P. H. N., Konda, V. J. A. & Curvers, W. L., Jan 2021, In: Gastrointestinal endoscopy clinics of North America. 31, 1, p. 91-103 13 p.Research output: Contribution to journal › Review article › Academic › peer-review
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Advanced imaging techniques for detection of Barrett’s neoplasia
Struyvenberg, M. R., 2021, 247 p.Research output: PhD Thesis › Phd-Thesis - Research and graduation internal