Cargando…
MDB-43. GRADIENT ENTROPY-BASED RADIOMIC RISK-SCORE FROM T1-WEIGHTED PRE-TREATMENT MRI SCANS CAN PREDICT SURVIVAL IN PEDIATRIC MEDULLOBLASTOMA
BACKGROUND: Medulloblastoma (MB) is the most frequent malignant brain tumor in children with an inadequate 5-year survival rate of 70-75%. A key determinate in MB treatment (consisting of radiation, chemotherapy) is the accurate risk-stratification of patients into low- and high-risk. The current st...
Autores principales: | , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10259913/ http://dx.doi.org/10.1093/neuonc/noad073.275 |
_version_ | 1785057744022142976 |
---|---|
author | Bareja, Rohan Ismail, Marwa Martin, Doug Nayate, Ameya Yadav, Ipsa Labbad, Murad Tamrazi, Benita Salloum, Ralph Margol, Ashley Judkins, Alexander Iyer, Sukanya de Blank, Peter Tiwari, Pallavi |
author_facet | Bareja, Rohan Ismail, Marwa Martin, Doug Nayate, Ameya Yadav, Ipsa Labbad, Murad Tamrazi, Benita Salloum, Ralph Margol, Ashley Judkins, Alexander Iyer, Sukanya de Blank, Peter Tiwari, Pallavi |
author_sort | Bareja, Rohan |
collection | PubMed |
description | BACKGROUND: Medulloblastoma (MB) is the most frequent malignant brain tumor in children with an inadequate 5-year survival rate of 70-75%. A key determinate in MB treatment (consisting of radiation, chemotherapy) is the accurate risk-stratification of patients into low- and high-risk. The current stratification approaches (Chang’s classification, molecular categorization) are sub-optimal in predicting individual patient outcomes. Reliable risk-assessment approaches can significantly impact treatment management. Our group previously developed a new radiomics feature COLLAGE that measures the orientation of local intensity gradients as an estimate of lesion heterogeneity. We hypothesize that the disorder (i.e., heterogeneity) in orientation of local per-voxel intensity measured by COLLAGE, will tease-out differences in patients with low - versus high-risk MB tumors. METHODS: T1-weighted MRI scans of 49 pediatric MB patients were retrospectively collected from Children’s Hospital Los Angeles and Cincinnati Children’s Hospital Medical Center. Registration of the scans was performed via age-specific pediatric atlases, followed by skull stripping and bias correction. Ground truth annotations for tumor sub-compartments; enhancing tumor, edema, and non-enhancing tumor, were generated by two experienced radiologists. Then, 52 Collage features were extracted from each of these sub-compartments, followed by conducting a Lasso model and a cox-proportional hazards model to identify the top features for risk-stratification. A continuous risk score was created for every patient and a risk threshold was obtained from the fitted cox model to stratify patients into low- and high-risk. RESULTS: Our risk-score consisted of 13 top COLLAGE features from edema and 14 from non-enhancing tumor sub-compartments, respectively, and demonstrated significant differences between low- and high-risk patients (p = .017 for edema, p =0.0027 for non-enhancing tumor). CONCLUSION: Our preliminary analysis suggests that gradient-entropy radiomic risk score maybe able to predict overall survival in pediatric MB tumors. In future, we plan to include additional patients to perform independent multi-site analysis. |
format | Online Article Text |
id | pubmed-10259913 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-102599132023-06-13 MDB-43. GRADIENT ENTROPY-BASED RADIOMIC RISK-SCORE FROM T1-WEIGHTED PRE-TREATMENT MRI SCANS CAN PREDICT SURVIVAL IN PEDIATRIC MEDULLOBLASTOMA Bareja, Rohan Ismail, Marwa Martin, Doug Nayate, Ameya Yadav, Ipsa Labbad, Murad Tamrazi, Benita Salloum, Ralph Margol, Ashley Judkins, Alexander Iyer, Sukanya de Blank, Peter Tiwari, Pallavi Neuro Oncol Final Category: Medulloblastomas - MDB BACKGROUND: Medulloblastoma (MB) is the most frequent malignant brain tumor in children with an inadequate 5-year survival rate of 70-75%. A key determinate in MB treatment (consisting of radiation, chemotherapy) is the accurate risk-stratification of patients into low- and high-risk. The current stratification approaches (Chang’s classification, molecular categorization) are sub-optimal in predicting individual patient outcomes. Reliable risk-assessment approaches can significantly impact treatment management. Our group previously developed a new radiomics feature COLLAGE that measures the orientation of local intensity gradients as an estimate of lesion heterogeneity. We hypothesize that the disorder (i.e., heterogeneity) in orientation of local per-voxel intensity measured by COLLAGE, will tease-out differences in patients with low - versus high-risk MB tumors. METHODS: T1-weighted MRI scans of 49 pediatric MB patients were retrospectively collected from Children’s Hospital Los Angeles and Cincinnati Children’s Hospital Medical Center. Registration of the scans was performed via age-specific pediatric atlases, followed by skull stripping and bias correction. Ground truth annotations for tumor sub-compartments; enhancing tumor, edema, and non-enhancing tumor, were generated by two experienced radiologists. Then, 52 Collage features were extracted from each of these sub-compartments, followed by conducting a Lasso model and a cox-proportional hazards model to identify the top features for risk-stratification. A continuous risk score was created for every patient and a risk threshold was obtained from the fitted cox model to stratify patients into low- and high-risk. RESULTS: Our risk-score consisted of 13 top COLLAGE features from edema and 14 from non-enhancing tumor sub-compartments, respectively, and demonstrated significant differences between low- and high-risk patients (p = .017 for edema, p =0.0027 for non-enhancing tumor). CONCLUSION: Our preliminary analysis suggests that gradient-entropy radiomic risk score maybe able to predict overall survival in pediatric MB tumors. In future, we plan to include additional patients to perform independent multi-site analysis. Oxford University Press 2023-06-12 /pmc/articles/PMC10259913/ http://dx.doi.org/10.1093/neuonc/noad073.275 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of the Society for Neuro-Oncology. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Final Category: Medulloblastomas - MDB Bareja, Rohan Ismail, Marwa Martin, Doug Nayate, Ameya Yadav, Ipsa Labbad, Murad Tamrazi, Benita Salloum, Ralph Margol, Ashley Judkins, Alexander Iyer, Sukanya de Blank, Peter Tiwari, Pallavi MDB-43. GRADIENT ENTROPY-BASED RADIOMIC RISK-SCORE FROM T1-WEIGHTED PRE-TREATMENT MRI SCANS CAN PREDICT SURVIVAL IN PEDIATRIC MEDULLOBLASTOMA |
title | MDB-43. GRADIENT ENTROPY-BASED RADIOMIC RISK-SCORE FROM T1-WEIGHTED PRE-TREATMENT MRI SCANS CAN PREDICT SURVIVAL IN PEDIATRIC MEDULLOBLASTOMA |
title_full | MDB-43. GRADIENT ENTROPY-BASED RADIOMIC RISK-SCORE FROM T1-WEIGHTED PRE-TREATMENT MRI SCANS CAN PREDICT SURVIVAL IN PEDIATRIC MEDULLOBLASTOMA |
title_fullStr | MDB-43. GRADIENT ENTROPY-BASED RADIOMIC RISK-SCORE FROM T1-WEIGHTED PRE-TREATMENT MRI SCANS CAN PREDICT SURVIVAL IN PEDIATRIC MEDULLOBLASTOMA |
title_full_unstemmed | MDB-43. GRADIENT ENTROPY-BASED RADIOMIC RISK-SCORE FROM T1-WEIGHTED PRE-TREATMENT MRI SCANS CAN PREDICT SURVIVAL IN PEDIATRIC MEDULLOBLASTOMA |
title_short | MDB-43. GRADIENT ENTROPY-BASED RADIOMIC RISK-SCORE FROM T1-WEIGHTED PRE-TREATMENT MRI SCANS CAN PREDICT SURVIVAL IN PEDIATRIC MEDULLOBLASTOMA |
title_sort | mdb-43. gradient entropy-based radiomic risk-score from t1-weighted pre-treatment mri scans can predict survival in pediatric medulloblastoma |
topic | Final Category: Medulloblastomas - MDB |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10259913/ http://dx.doi.org/10.1093/neuonc/noad073.275 |
work_keys_str_mv | AT barejarohan mdb43gradiententropybasedradiomicriskscorefromt1weightedpretreatmentmriscanscanpredictsurvivalinpediatricmedulloblastoma AT ismailmarwa mdb43gradiententropybasedradiomicriskscorefromt1weightedpretreatmentmriscanscanpredictsurvivalinpediatricmedulloblastoma AT martindoug mdb43gradiententropybasedradiomicriskscorefromt1weightedpretreatmentmriscanscanpredictsurvivalinpediatricmedulloblastoma AT nayateameya mdb43gradiententropybasedradiomicriskscorefromt1weightedpretreatmentmriscanscanpredictsurvivalinpediatricmedulloblastoma AT yadavipsa mdb43gradiententropybasedradiomicriskscorefromt1weightedpretreatmentmriscanscanpredictsurvivalinpediatricmedulloblastoma AT labbadmurad mdb43gradiententropybasedradiomicriskscorefromt1weightedpretreatmentmriscanscanpredictsurvivalinpediatricmedulloblastoma AT tamrazibenita mdb43gradiententropybasedradiomicriskscorefromt1weightedpretreatmentmriscanscanpredictsurvivalinpediatricmedulloblastoma AT salloumralph mdb43gradiententropybasedradiomicriskscorefromt1weightedpretreatmentmriscanscanpredictsurvivalinpediatricmedulloblastoma AT margolashley mdb43gradiententropybasedradiomicriskscorefromt1weightedpretreatmentmriscanscanpredictsurvivalinpediatricmedulloblastoma AT judkinsalexander mdb43gradiententropybasedradiomicriskscorefromt1weightedpretreatmentmriscanscanpredictsurvivalinpediatricmedulloblastoma AT iyersukanya mdb43gradiententropybasedradiomicriskscorefromt1weightedpretreatmentmriscanscanpredictsurvivalinpediatricmedulloblastoma AT deblankpeter mdb43gradiententropybasedradiomicriskscorefromt1weightedpretreatmentmriscanscanpredictsurvivalinpediatricmedulloblastoma AT tiwaripallavi mdb43gradiententropybasedradiomicriskscorefromt1weightedpretreatmentmriscanscanpredictsurvivalinpediatricmedulloblastoma |