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A Radiomic Approach for Evaluating Intra-Subgroup Heterogeneity in SHH and Group 4 Pediatric Medulloblastoma: A Preliminary Multi-Institutional Study.
Ismail, Marwa; Um, Hyemin; Salloum, Ralph; Hollnagel, Fauzia; Ahmed, Raheel; de Blank, Peter; Tiwari, Pallavi.
Affiliation
  • Ismail M; Department of Radiology, University of Wisconsin-Madison, Madison, WI 53706, USA.
  • Um H; Department of Radiology, University of Wisconsin-Madison, Madison, WI 53706, USA.
  • Salloum R; Nationwide Children's Hospital, Columbus, OH 43205, USA.
  • Hollnagel F; Department of Medicine, University of Wisconsin-Madison, Madison, WI 53792, USA.
  • Ahmed R; Department of Neurological Surgery, University of Wisconsin-Madison, Madison, WI 53792, USA.
  • de Blank P; Department of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA.
  • Tiwari P; Department of Radiology, University of Wisconsin-Madison, Madison, WI 53706, USA.
Cancers (Basel) ; 16(12)2024 Jun 18.
Article in En | MEDLINE | ID: mdl-38927953
ABSTRACT
Medulloblastoma (MB) is the most frequent malignant brain tumor in children with extensive heterogeneity that results in varied clinical outcomes. Recently, MB was categorized into four molecular subgroups, WNT, SHH, Group 3, and Group 4. While SHH and Group 4 are known for their intermediate prognosis, studies have reported wide disparities in patient outcomes within these subgroups. This study aims to create a radiomic prognostic signature, medulloblastoma radiomics risk (mRRisk), to identify the risk levels within the SHH and Group 4 subgroups, individually, for reliable risk stratification. Our hypothesis is that this signature can comprehensively capture tumor characteristics that enable the accurate identification of the risk level. In total, 70 MB studies (48 Group 4, and 22 SHH) were retrospectively curated from three institutions. For each subgroup, 232 hand-crafted features that capture the entropy, surface changes, and contour characteristics of the tumor were extracted. Features were concatenated and fed into regression models for risk stratification. Contrasted with Chang stratification that did not yield any significant differences within subgroups, significant differences were observed between two risk groups in Group 4 (p = 0.04, Concordance Index (CI) = 0.82) on the cystic core and non-enhancing tumor, and SHH (p = 0.03, CI = 0.74) on the enhancing tumor. Our results indicate that radiomics may serve as a prognostic tool for refining MB risk stratification, towards improved patient care.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Cancers (Basel) Year: 2024 Document type: Article Affiliation country: Estados Unidos

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Cancers (Basel) Year: 2024 Document type: Article Affiliation country: Estados Unidos