Literature DB >> 35059761

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

Archya Dasgupta1, Tejpal Gupta2, Madan Maitre1, Babusha Kalra1, Abhishek Chatterjee1, Rahul Krishnatry1, Jayant Sastri Goda1, Neelam Shirsat3, Sridhar Epari4, Ayushi Sahay4, Amit Janu5, Sona Pungavkar6, Girish Chinnaswamy7, Vijay Patil8, Aliasgar Moiyadi9, Prakash Shetty9, Rakesh Jalali1.   

Abstract

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. Univariate analysis and multivariate Cox regression analysis were performed to assess the correlation of semantic features with relapse-free survival (RFS) and overall survival (OS).
RESULTS: The study cohort comprised 171 medulloblastoma patients (median age 9 years) treated with maximal safe resection followed by risk-stratified adjuvant radio(chemo)therapy. A total of 55 patients experienced recurrent/progressive disease (commonly neuraxial metastases) resulting in 44 deaths, including one treatment-related death. At a median follow-up of 45 months (interquartile range 19-65 months), 5‑year Kaplan-Meier estimates of RFS and OS were 64% and 71%, respectively. Semantic MRI features such as non-central tumor location on vertical axis, absence of brainstem involvement, ≤ 80% solid tumor area with contrast uptake, heterogenous pattern of contrast enhancement, necrosis, calcification, and T2-weighted heterogeneity were associated with significantly worse RFS and/or OS in univariate analysis. Cox regression analysis identified tumor location on the vertical axis, brainstem involvement, and calcification as independent prognostic factors impacting outcomes. Distinctive MRI features correlated with survival even within individual molecular subgroups of medulloblastoma.
CONCLUSION: Distinctive semantic MRI features correlate significantly with survival outcomes in medulloblastoma, also within individual molecular subgroups, reflecting their prognostic impact.
© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany.

Entities:  

Keywords:  Biomarker; CNS tumor; Imaging; Radiogenomics; Relapse

Mesh:

Year:  2022        PMID: 35059761     DOI: 10.1007/s00066-021-01889-9

Source DB:  PubMed          Journal:  Strahlenther Onkol        ISSN: 0179-7158            Impact factor:   3.621


  27 in total

1.  Behind the numbers: Decoding molecular phenotypes with radiogenomics--guiding principles and technical considerations.

Authors:  Michael D Kuo; Neema Jamshidi
Journal:  Radiology       Date:  2014-02       Impact factor: 11.105

Review 2.  The 2016 World Health Organization Classification of Tumors of the Central Nervous System: a summary.

Authors:  David N Louis; Arie Perry; Guido Reifenberger; Andreas von Deimling; Dominique Figarella-Branger; Webster K Cavenee; Hiroko Ohgaki; Otmar D Wiestler; Paul Kleihues; David W Ellison
Journal:  Acta Neuropathol       Date:  2016-05-09       Impact factor: 17.088

Review 3.  Molecular Subgrouping of Medulloblastoma: Impact Upon Research and Clinical Practice.

Authors:  Tejpal Gupta; Neelam Shirsat; Rakesh Jalali
Journal:  Curr Pediatr Rev       Date:  2015

4.  Medulloblastoma comprises four distinct molecular variants.

Authors:  Paul A Northcott; Andrey Korshunov; Hendrik Witt; Thomas Hielscher; Charles G Eberhart; Stephen Mack; Eric Bouffet; Steven C Clifford; Cynthia E Hawkins; Pim French; James T Rutka; Stefan Pfister; Michael D Taylor
Journal:  J Clin Oncol       Date:  2010-09-07       Impact factor: 44.544

Review 5.  Radiomics, Metabolic, and Molecular MRI for Brain Tumors.

Authors:  Philipp Kickingereder; Ovidiu Cristian Andronesi
Journal:  Semin Neurol       Date:  2018-03-16       Impact factor: 3.420

Review 6.  Pediatric Brain Tumors: Innovative Genomic Information Is Transforming the Diagnostic and Clinical Landscape.

Authors:  Amar Gajjar; Daniel C Bowers; Matthias A Karajannis; Sarah Leary; Hendrik Witt; Nicholas G Gottardo
Journal:  J Clin Oncol       Date:  2015-08-24       Impact factor: 44.544

Review 7.  Risk stratification of childhood medulloblastoma in the molecular era: the current consensus.

Authors:  Vijay Ramaswamy; Marc Remke; Eric Bouffet; Simon Bailey; Steven C Clifford; Francois Doz; Marcel Kool; Christelle Dufour; Gilles Vassal; Till Milde; Olaf Witt; Katja von Hoff; Torsten Pietsch; Paul A Northcott; Amar Gajjar; Giles W Robinson; Laetitia Padovani; Nicolas André; Maura Massimino; Barry Pizer; Roger Packer; Stefan Rutkowski; Stefan M Pfister; Michael D Taylor; Scott L Pomeroy
Journal:  Acta Neuropathol       Date:  2016-04-04       Impact factor: 17.088

8.  Global incidence of malignant brain and other central nervous system tumors by histology, 2003-2007.

Authors:  Rebecca Leece; Jordan Xu; Quinn T Ostrom; Yanwen Chen; Carol Kruchko; Jill S Barnholtz-Sloan
Journal:  Neuro Oncol       Date:  2017-10-19       Impact factor: 12.300

9.  Molecular subgroups of medulloblastoma: the current consensus.

Authors:  Michael D Taylor; Paul A Northcott; Andrey Korshunov; Marc Remke; Yoon-Jae Cho; Steven C Clifford; Charles G Eberhart; D Williams Parsons; Stefan Rutkowski; Amar Gajjar; David W Ellison; Peter Lichter; Richard J Gilbertson; Scott L Pomeroy; Marcel Kool; Stefan M Pfister
Journal:  Acta Neuropathol       Date:  2011-12-02       Impact factor: 17.088

10.  Radiomics: Images Are More than Pictures, They Are Data.

Authors:  Robert J Gillies; Paul E Kinahan; Hedvig Hricak
Journal:  Radiology       Date:  2015-11-18       Impact factor: 11.105

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