Marlene Baumann
Radiogenomics, or imaging genomics, is a term that describes an exciting emerging field of research that is aimed at defining relationships between image features (image phenotypes) and molecular markers (molecular phenotypes).1 Traditionally, radiology has been primarily focused on the correlation between imaging and histopathologic findings.
Merging the fields of standard imaging and genetic … more »
Kristen Yeom
Back in February 2008, Scott Atlas, Paul Fisher, and I sat together brainstorming how we might tackle tricky cases of patients with pediatric medulloblastomas. This was a time before molecular subtyping of medulloblastoma. We all knew medulloblastomas could look like anything. They could sit in intra- and/or extra-axial spaces. They could look like … more »
Zoltan Patay
Imaging genomics is one of the new “hot topics” and “buzzwords” in diagnostic imaging alongside radiomics, computer-aided diagnosis, and deep learning and artificial intelligence. We wanted to test if a very simple, location-based approach would shed new light on the cellular origins of molecular medulloblastoma groups and validate some of the recent … more »
Vera Keil
First manifestations of medulloblastoma at an adult age are extremely rare. With an estimated incidence as low as 0.6 new adult cases per million, many physicians are not even aware that medulloblastomas in adults are not always recurrent pediatric cases. Like the pediatric entity, the integrative 2016 WHO classification of CNS tumors … more »
Daniel Rodriguez
Dorothee Auer
Medulloblastoma is the most common malignant pediatric brain tumor. There have been significant advances in understanding the biology of this tumor, and it has emerged that there are 4 distinct subgroups, each with a different clinical profile … more »
Olivier Gevaert
Radiomics in brain tumors fits within a larger effort to investigate the links between quantitative imaging and cellular and molecular properties of complex diseases. Radiomics is an essential component in representing medical images (eg, CT, MRI, and PET) as data and linking them in mathematic models to molecular data (eg, DNA or … more »