Integrated models incorporating radiologic and radiomic features predict meningioma grade, local failure, and overall survival.

Olivier Morin; William C Chen; Farshad Nassiri; Matthew Susko; Stephen T Magill; Harish N Vasudevan; Ashley Wu; Martin Vallières; Efstathios D Gennatas; Gilmer Valdes; Melike Pekmezci; Paula Alcaide-Leon; Abrar Choudhury; Yannet Interian; Siavash Mortezavi; Kerem Turgutlu; Nancy Ann Oberheim Bush; Timothy D Solberg; Steve E Braunstein; Penny K Sneed; Arie Perry; Gelareh Zadeh; Michael W McDermott; Javier E Villanueva-Meyer; David R Raleigh

doi:10.1093/NOAJNL/VDZ011

Integrated models incorporating radiologic and radiomic features predict meningioma grade, local failure, and overall survival.

Olivier Morin, William C Chen, Farshad Nassiri, Matthew Susko, Stephen T Magill, Harish N Vasudevan, Ashley Wu, Martin Vallières, Efstathios D Gennatas, Gilmer Valdes, Melike Pekmezci, Paula Alcaide-Leon, Abrar Choudhury, Yannet Interian, Siavash Mortezavi, Kerem Turgutlu, Nancy Ann Oberheim Bush, Timothy D Solberg, Steve E Braunstein, Penny K SneedArie Perry, Gelareh Zadeh, Michael W McDermott, Javier E Villanueva-Meyer, David R Raleigh

Miami Neuroscience Institute

Research output: Contribution to journal › Article › peer-review

Original language	American English
Journal	Neuro-Oncology Advances
Volume	1
DOIs	https://doi.org/10.1093/NOAJNL/VDZ011
State	Published - May 1 2019

Disciplines

Radiology
Medicine and Health Sciences
Multivariate Analysis

Access to Document

10.1093/NOAJNL/VDZ011License: Unspecified

Cite this

Morin, O., Chen, W. C., Nassiri, F., Susko, M., Magill, S. T., Vasudevan, H. N., Wu, A., Vallières, M., Gennatas, E. D., Valdes, G., Pekmezci, M., Alcaide-Leon, P., Choudhury, A., Interian, Y., Mortezavi, S., Turgutlu, K., Bush, N. A. O., Solberg, T. D., Braunstein, S. E., ... Raleigh, D. R. (2019). Integrated models incorporating radiologic and radiomic features predict meningioma grade, local failure, and overall survival. Neuro-Oncology Advances, 1. https://doi.org/10.1093/NOAJNL/VDZ011

Morin, O, Chen, WC, Nassiri, F, Susko, M, Magill, ST, Vasudevan, HN, Wu, A, Vallières, M, Gennatas, ED, Valdes, G, Pekmezci, M, Alcaide-Leon, P, Choudhury, A, Interian, Y, Mortezavi, S, Turgutlu, K, Bush, NAO, Solberg, TD, Braunstein, SE, Sneed, PK, Perry, A, Zadeh, G, McDermott, MW, Villanueva-Meyer, JE & Raleigh, DR 2019, 'Integrated models incorporating radiologic and radiomic features predict meningioma grade, local failure, and overall survival.', Neuro-Oncology Advances, vol. 1. https://doi.org/10.1093/NOAJNL/VDZ011

@article{931447f7ea574f31b29d6173c7c327f6,

title = "Integrated models incorporating radiologic and radiomic features predict meningioma grade, local failure, and overall survival.",

author = "Olivier Morin and Chen, \{William C\} and Farshad Nassiri and Matthew Susko and Magill, \{Stephen T\} and Vasudevan, \{Harish N\} and Ashley Wu and Martin Valli{\`e}res and Gennatas, \{Efstathios D\} and Gilmer Valdes and Melike Pekmezci and Paula Alcaide-Leon and Abrar Choudhury and Yannet Interian and Siavash Mortezavi and Kerem Turgutlu and Bush, \{Nancy Ann Oberheim\} and Solberg, \{Timothy D\} and Braunstein, \{Steve E\} and Sneed, \{Penny K\} and Arie Perry and Gelareh Zadeh and McDermott, \{Michael W\} and Villanueva-Meyer, \{Javier E\} and Raleigh, \{David R\}",

note = "Models incorporating imaging information provide improved estimates of meningioma outcomes. ADC and sphericity are prognostic imaging-derived factors for meningioma. Meningioma is the most common primary intracranial tumor in the United States. Outcomes from meningioma are influenced by patient age, sex, tumor grade, extent of resection, and adjuvant radiotherapy.",

year = "2019",

month = may,

day = "1",

doi = "10.1093/NOAJNL/VDZ011",

language = "American English",

volume = "1",

journal = "Neuro-Oncology Advances",

}

TY - JOUR

T1 - Integrated models incorporating radiologic and radiomic features predict meningioma grade, local failure, and overall survival.

AU - Morin, Olivier

AU - Chen, William C

AU - Nassiri, Farshad

AU - Susko, Matthew

AU - Magill, Stephen T

AU - Vasudevan, Harish N

AU - Wu, Ashley

AU - Vallières, Martin

AU - Gennatas, Efstathios D

AU - Valdes, Gilmer

AU - Pekmezci, Melike

AU - Alcaide-Leon, Paula

AU - Choudhury, Abrar

AU - Interian, Yannet

AU - Mortezavi, Siavash

AU - Turgutlu, Kerem

AU - Bush, Nancy Ann Oberheim

AU - Solberg, Timothy D

AU - Braunstein, Steve E

AU - Sneed, Penny K

AU - Perry, Arie

AU - Zadeh, Gelareh

AU - McDermott, Michael W

AU - Villanueva-Meyer, Javier E

AU - Raleigh, David R

N1 - Models incorporating imaging information provide improved estimates of meningioma outcomes. ADC and sphericity are prognostic imaging-derived factors for meningioma. Meningioma is the most common primary intracranial tumor in the United States. Outcomes from meningioma are influenced by patient age, sex, tumor grade, extent of resection, and adjuvant radiotherapy.

PY - 2019/5/1

Y1 - 2019/5/1

UR - https://academic.oup.com/noa/article/1/1/vdz011/5555987

U2 - 10.1093/NOAJNL/VDZ011

DO - 10.1093/NOAJNL/VDZ011

M3 - Article

VL - 1

JO - Neuro-Oncology Advances

JF - Neuro-Oncology Advances

ER -

Integrated models incorporating radiologic and radiomic features predict meningioma grade, local failure, and overall survival.

Disciplines

Access to Document

Other files and links

Cite this