Radiogenomic classification of the 1p/19q status in presumed low-grade gliomas

Sebastian R. Van Der Voort; Renske Gahrmann; Martin J. Van Den Bent; Arnaud J.P.E. Vincent; Wiro J. Niessen; Marion Smits; Stefan Klein

doi:https://doi.org/10.1109/ISBI.2017.7950601

Radiogenomic classification of the 1p/19q status in presumed low-grade gliomas

Sebastian R. Van Der Voort, Renske Gahrmann, Martin J. Van Den Bent, Arnaud J.P.E. Vincent, Wiro J. Niessen, Marion Smits, Stefan Klein

Medical Informatics (AMC)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

4 Citations (Scopus)

Abstract

1p/19q co-deletion is an important prognostic factor in low grade gliomas. However, determination of the 1p/19q status currently requires a biopsy. To overcome this, we investigate a radiogenomic classification using support vector machines to non-invasively predict the 1p/19q status from multimodal MRI data. Different approaches of predicting this status were compared: a direct approach which predicts the 1p/19q co-deletion status and an indirect approach which predicts the mutation status of 1p and 19q individually and combines these predictions to predict the 1p/19q co-deletion status. Using the indirect approach based on both the T1-weighted and T2-weighted images delivered the best result and resulted in a 95% confidence interval for the sensitivity and specificity of [0.44; 0.89] and [0.70; 1.00] respectively.

Original language	English
Title of host publication	2017 IEEE 14th International Symposium on Biomedical Imaging, ISBI 2017
Publisher	IEEE Computer Society Press
Pages	638-641
Number of pages	4
ISBN (Electronic)	9781509011711
DOIs	https://doi.org/10.1109/ISBI.2017.7950601
Publication status	Published - 15 Jun 2017
Event	14th IEEE International Symposium on Biomedical Imaging, ISBI 2017 - Melbourne, Australia Duration: 18 Apr 2017 → 21 Apr 2017

Publication series

Name	Proceedings - International Symposium on Biomedical Imaging

Conference

Conference	14th IEEE International Symposium on Biomedical Imaging, ISBI 2017
Country/Territory	Australia
City	Melbourne
Period	18/04/2017 → 21/04/2017

Keywords

1p/19q
Low grade glioma
Radiogenomics
SVM

Access to Document

https://doi.org/10.1109/ISBI.2017.7950601

Cite this

Van Der Voort, S. R., Gahrmann, R., Van Den Bent, M. J., Vincent, A. J. P. E., Niessen, W. J., Smits, M., & Klein, S. (2017). Radiogenomic classification of the 1p/19q status in presumed low-grade gliomas. In 2017 IEEE 14th International Symposium on Biomedical Imaging, ISBI 2017 (pp. 638-641). Article 7950601 (Proceedings - International Symposium on Biomedical Imaging). IEEE Computer Society Press. https://doi.org/10.1109/ISBI.2017.7950601

@inproceedings{33767962b20b4393a188a9b680228133,

title = "Radiogenomic classification of the 1p/19q status in presumed low-grade gliomas",

abstract = "1p/19q co-deletion is an important prognostic factor in low grade gliomas. However, determination of the 1p/19q status currently requires a biopsy. To overcome this, we investigate a radiogenomic classification using support vector machines to non-invasively predict the 1p/19q status from multimodal MRI data. Different approaches of predicting this status were compared: a direct approach which predicts the 1p/19q co-deletion status and an indirect approach which predicts the mutation status of 1p and 19q individually and combines these predictions to predict the 1p/19q co-deletion status. Using the indirect approach based on both the T1-weighted and T2-weighted images delivered the best result and resulted in a 95% confidence interval for the sensitivity and specificity of [0.44; 0.89] and [0.70; 1.00] respectively.",

keywords = "1p/19q, Low grade glioma, Radiogenomics, SVM",

author = "{Van Der Voort}, {Sebastian R.} and Renske Gahrmann and {Van Den Bent}, {Martin J.} and Vincent, {Arnaud J.P.E.} and Niessen, {Wiro J.} and Marion Smits and Stefan Klein",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 14th IEEE International Symposium on Biomedical Imaging, ISBI 2017 ; Conference date: 18-04-2017 Through 21-04-2017",

year = "2017",

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day = "15",

doi = "https://doi.org/10.1109/ISBI.2017.7950601",

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Van Der Voort, SR, Gahrmann, R, Van Den Bent, MJ, Vincent, AJPE, Niessen, WJ, Smits, M & Klein, S 2017, Radiogenomic classification of the 1p/19q status in presumed low-grade gliomas. in 2017 IEEE 14th International Symposium on Biomedical Imaging, ISBI 2017., 7950601, Proceedings - International Symposium on Biomedical Imaging, IEEE Computer Society Press, pp. 638-641, 14th IEEE International Symposium on Biomedical Imaging, ISBI 2017, Melbourne, Australia, 18/04/2017. https://doi.org/10.1109/ISBI.2017.7950601

Radiogenomic classification of the 1p/19q status in presumed low-grade gliomas. / Van Der Voort, Sebastian R.; Gahrmann, Renske; Van Den Bent, Martin J. et al.
2017 IEEE 14th International Symposium on Biomedical Imaging, ISBI 2017. IEEE Computer Society Press, 2017. p. 638-641 7950601 (Proceedings - International Symposium on Biomedical Imaging).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Radiogenomic classification of the 1p/19q status in presumed low-grade gliomas

AU - Van Der Voort, Sebastian R.

AU - Gahrmann, Renske

AU - Van Den Bent, Martin J.

AU - Vincent, Arnaud J.P.E.

AU - Niessen, Wiro J.

AU - Smits, Marion

AU - Klein, Stefan

PY - 2017/6/15

Y1 - 2017/6/15

N2 - 1p/19q co-deletion is an important prognostic factor in low grade gliomas. However, determination of the 1p/19q status currently requires a biopsy. To overcome this, we investigate a radiogenomic classification using support vector machines to non-invasively predict the 1p/19q status from multimodal MRI data. Different approaches of predicting this status were compared: a direct approach which predicts the 1p/19q co-deletion status and an indirect approach which predicts the mutation status of 1p and 19q individually and combines these predictions to predict the 1p/19q co-deletion status. Using the indirect approach based on both the T1-weighted and T2-weighted images delivered the best result and resulted in a 95% confidence interval for the sensitivity and specificity of [0.44; 0.89] and [0.70; 1.00] respectively.

AB - 1p/19q co-deletion is an important prognostic factor in low grade gliomas. However, determination of the 1p/19q status currently requires a biopsy. To overcome this, we investigate a radiogenomic classification using support vector machines to non-invasively predict the 1p/19q status from multimodal MRI data. Different approaches of predicting this status were compared: a direct approach which predicts the 1p/19q co-deletion status and an indirect approach which predicts the mutation status of 1p and 19q individually and combines these predictions to predict the 1p/19q co-deletion status. Using the indirect approach based on both the T1-weighted and T2-weighted images delivered the best result and resulted in a 95% confidence interval for the sensitivity and specificity of [0.44; 0.89] and [0.70; 1.00] respectively.

KW - 1p/19q

KW - Low grade glioma

KW - Radiogenomics

KW - SVM

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T3 - Proceedings - International Symposium on Biomedical Imaging

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EP - 641

BT - 2017 IEEE 14th International Symposium on Biomedical Imaging, ISBI 2017

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ER -

Van Der Voort SR, Gahrmann R, Van Den Bent MJ, Vincent AJPE, Niessen WJ, Smits M et al. Radiogenomic classification of the 1p/19q status in presumed low-grade gliomas. In 2017 IEEE 14th International Symposium on Biomedical Imaging, ISBI 2017. IEEE Computer Society Press. 2017. p. 638-641. 7950601. (Proceedings - International Symposium on Biomedical Imaging). doi: https://doi.org/10.1109/ISBI.2017.7950601

Radiogenomic classification of the 1p/19q status in presumed low-grade gliomas

Abstract

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Keywords

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