Prognostic impact of semantic MRI features on survival outcomes in molecularly subtyped medulloblastoma.

Purpose: Imaging features are known to reflect inherent disease biology in various cancers including brain tumors. We report on the prognostic impact of magnetic resonance imaging (MRI) features on survival in patients with medulloblastoma treated between 2007 and 2018 at our institute.

Methods: Sixteen semantic imaging features (with predefined categories) were extracted from pre- and postcontrast T1-weighted and T2-weighted MRI by consensus.

Magnetic Resonance Imaging in the Contemporary Management of Medulloblastoma: Current and Emerging Applications.

Medulloblastoma, the most common malignant primary brain tumor in children, is now considered to comprise of four distinct molecular subgroups-wingless (WNT), sonic hedgehog (SHH), Group 3, and Group 4 medulloblastoma, each associated with distinct developmental origins, unique transcriptional profiles, diverse phenotypes, and variable clinical behavior. Due to its exquisite anatomic resolution, multiparametric nature, and ability to image the entire craniospinal axis, magnetic resonance imaging (MRI) is the preferred and recommended first-line imaging modality for suspected brain tumors including medulloblastoma. Preoperative MRI can reliably differentiate medulloblastoma from other common childhood posterior fossa masses such as ependymoma, pilocytic astrocytoma, and brainstem glioma.

A case report of Arnold Chiari type 1 malformation in acromesomelic dwarf infant.

Arnold Chiari malformation is one of the commonest cause of congenital hydrocephalus. Cause of fetal development of cerebellar tonsils remains unknown and may be diagnosed at later in life. The association of Arnold Chiari malformation with acromesomelic dwarfism is not known.

Nomograms based on preoperative multiparametric magnetic resonance imaging for prediction of molecular subgrouping in medulloblastoma: results from a radiogenomics study of 111 patients.

Background: Novel biological insights have led to consensus classification of medulloblastoma into 4 distinct molecular subgroups-wingless (WNT), sonic hedgehog (SHH), Group 3, and Group 4. We aimed to predict molecular subgrouping in medulloblastoma based on preoperative multiparametric magnetic resonance imaging (MRI) characteristics.

Methods: A set of 19 MRI features were evaluated in 111 patients with histologic diagnosis of medulloblastoma for prediction of molecular subgrouping.