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European Radiology

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01-08-2017 | Magnetic Resonance

Noninvasive IDH1 mutation estimation based on a quantitative radiomics approach for grade II glioma

Authors: Jinhua Yu, Zhifeng Shi, Yuxi Lian, Zeju Li, Tongtong Liu, Yuan Gao, Yuanyuan Wang, Liang Chen, Ying Mao

Published in: European Radiology | Issue 8/2017

Abstract

Objective

The status of isocitrate dehydrogenase 1 (IDH1) is highly correlated with the development, treatment and prognosis of glioma. We explored a noninvasive method to reveal IDH1 status by using a quantitative radiomics approach for grade II glioma.

Methods

A primary cohort consisting of 110 patients pathologically diagnosed with grade II glioma was retrospectively studied. The radiomics method developed in this paper includes image segmentation, high-throughput feature extraction, radiomics sequencing, feature selection and classification. Using the leave-one-out cross-validation (LOOCV) method, the classification result was compared with the real IDH1 situation from Sanger sequencing. Another independent validation cohort containing 30 patients was utilised to further test the method.

Results

A total of 671 high-throughput features were extracted and quantized. 110 features were selected by improved genetic algorithm. In LOOCV, the noninvasive IDH1 status estimation based on the proposed approach presented an estimation accuracy of 0.80, sensitivity of 0.83 and specificity of 0.74. Area under the receiver operating characteristic curve reached 0.86. Further validation on the independent cohort of 30 patients produced similar results.

Conclusions

Radiomics is a potentially useful approach for estimating IDH1 mutation status noninvasively using conventional T2-FLAIR MRI images. The estimation accuracy could potentially be improved by using multiple imaging modalities.

Key Points

• Noninvasive IDH1 status estimation can be obtained with a radiomics approach.

• Automatic and quantitative processes were established for noninvasive biomarker estimation.

• High-throughput MRI features are highly correlated to IDH1 states.

• Area under the ROC curve of the proposed estimation method reached 0.86.

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Title: Noninvasive IDH1 mutation estimation based on a quantitative radiomics approach for grade II glioma
Authors: Jinhua Yu
Zhifeng Shi
Yuxi Lian
Zeju Li
Tongtong Liu
Yuan Gao
Yuanyuan Wang
Liang Chen
Ying Mao
Publication date: 01-08-2017
Publisher: Springer Berlin Heidelberg
Published in: European Radiology / Issue 8/2017
Print ISSN: 0938-7994
Electronic ISSN: 1432-1084
DOI: https://doi.org/10.1007/s00330-016-4653-3

At a glance: The ONWARDS insulin icodec trials

Springer Medicine

Noninvasive IDH1 mutation estimation based on a quantitative radiomics approach for grade II glioma

Abstract

Objective

Methods

Results

Conclusions

Key Points

At a glance: The ONWARDS insulin icodec trials

Springer Medicine

Abstract

Objective

Methods

Results

Conclusions

Key Points

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