Breadcrumb

null Jérémy Dana, MD, PhD

Keywords


hepatocellular carcinoma • chronic liver diseases • artifical intelligence • advanced imaging techniques

Research Focus


My research focuses on liver cancer imaging, chronic liver disease, advanced imaging techniques and artificial intelligence with a special focus on personalized hepatocellular carcinoma screening. I am an active member of the LI-RADS (Liver Imaging Reporting & Data System) registry and lexicon working groups, whose mission is to standardize liver cancer imaging internationally. I also have a PhD in medical sciences, clinical research and technological innovation. I have dedicated my doctoral research to the development of innovative liver imaging techniques including hepatocellular risk stratification using artificial intelligence tools in imaging and 7-T MRI to replicate pathology-like examinations of ex-vivo liver tissues.

Selected Publications


Click on Pubmed to see my current publications list

  • Dana J, Debray D, Beaufrère A, Hillaire S, Fabre M, Reinhold C, Baumert T, Berteloot L, Vilgrain V. Cystic fibrosis-related liver disease: clinical presentations, diagnostic and monitoring approaches in the era of CFTR modulator therapies. Journal of Hepatology 2021. doi: 10.1016/j.jhep.2021.09.042.

  • Dana J, Venkatasamy A. High-resolution (7-T) Liver MRI for Pathologic Examination. Radiology 2023;306(1):74-75. doi: 10.1148/radiol.220410.

  • Dana J, Lefebvre TL, Savadjiev P, Bodard S, Gauvin S, Bhatnagar SR, Forghani R, Hélénon O, Reinhold C. Malignancy risk stratification of cystic renal lesions based on a contrast-enhanced CT-based machine learning model and a clinical decision algorithm. European Radiology 2022. doi: 10.1007/s00330-021-08449-w.

  • McGrath TA, Davenport MS, Silverman SG, Lim CS, Almalki YE, Arita Y, Bai X, Basha MAA, Dana J, Elbanna KY, Kamaya A, Krishna S, Park KJ, Park MY, Reinhold C, Tse JR, Wang H, Pedrosa I, Schieda N. Bosniak Classification of Cystic Renal Masses Version 2019: Proportion of Malignancy by Class and Subclass—Systematic Review and Meta-Analysis. American Journal of Roentgenology;0(ja):null. doi: 10.2214/ajr.24.32342.

  • Dana J, Venkatasamy A, Saviano A, Lupberger J, Hoshida Y, Vilgrain V, Nahon P, Reinhold C, Gallix B, Baumert TF. Conventional and artificial intelligence-based imaging for biomarker discovery in chronic liver disease. Hepatology International 2022. doi: 10.1007/s12072-022-10303-0.