Original Research

Textural features of dynamic contrast-enhanced MRI derived model-free and model-based parameter maps in glioma grading

Tian Xie MD

Department of Radiology, Institute of Surgery Research, Daping Hospital, Third Military Medical University, Chongqing, China

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Xiao Chen MD,

Xiao Chen MD

Department of Radiology, Institute of Surgery Research, Daping Hospital, Third Military Medical University, Chongqing, China

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Jingqin Fang PhD,

Jingqin Fang PhD

Department of Radiology, Institute of Surgery Research, Daping Hospital, Third Military Medical University, Chongqing, China

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Houyi Kang MD,

Houyi Kang MD

Department of Radiology, Institute of Surgery Research, Daping Hospital, Third Military Medical University, Chongqing, China

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Wei Xue MD,

Wei Xue MD

Department of Radiology, Institute of Surgery Research, Daping Hospital, Third Military Medical University, Chongqing, China

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Haipeng Tong MD,

Haipeng Tong MD

Department of Radiology, Institute of Surgery Research, Daping Hospital, Third Military Medical University, Chongqing, China

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Peng Cao PhD,

Peng Cao PhD

GE HealthCare (China), Pudong, Shanghai, China

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Sumei Wang PhD,

Sumei Wang PhD

Department of Radiology, Division of Neuroradiology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA

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Yizeng Yang PhD,

Yizeng Yang PhD

Department of Medicine, Gastroenterology Division, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA

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Weiguo Zhang PhD,

Corresponding Author

Weiguo Zhang PhD

[email protected]

Department of Radiology, Institute of Surgery Research, Daping Hospital, Third Military Medical University, Chongqing, China

Chongqing Clinical Research Center of Imaging and Nuclear Medicine, Chongqing, China

Address reprint requests to: W.Z., Changjiangzhilu Road, Yuzhong District, Postal Code: 400042. E-mail: [email protected]Search for more papers by this author

Tian Xie MD,

Tian Xie MD

Department of Radiology, Institute of Surgery Research, Daping Hospital, Third Military Medical University, Chongqing, China

Search for more papers by this author

Xiao Chen MD,

Xiao Chen MD

Department of Radiology, Institute of Surgery Research, Daping Hospital, Third Military Medical University, Chongqing, China

Search for more papers by this author

Jingqin Fang PhD,

Jingqin Fang PhD

Department of Radiology, Institute of Surgery Research, Daping Hospital, Third Military Medical University, Chongqing, China

Search for more papers by this author

Houyi Kang MD,

Houyi Kang MD

Department of Radiology, Institute of Surgery Research, Daping Hospital, Third Military Medical University, Chongqing, China

Search for more papers by this author

Wei Xue MD,

Wei Xue MD

Department of Radiology, Institute of Surgery Research, Daping Hospital, Third Military Medical University, Chongqing, China

Search for more papers by this author

Haipeng Tong MD,

Haipeng Tong MD

Department of Radiology, Institute of Surgery Research, Daping Hospital, Third Military Medical University, Chongqing, China

Search for more papers by this author

Peng Cao PhD,

Peng Cao PhD

GE HealthCare (China), Pudong, Shanghai, China

Search for more papers by this author

Sumei Wang PhD,

Sumei Wang PhD

Department of Radiology, Division of Neuroradiology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA

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Yizeng Yang PhD,

Yizeng Yang PhD

Department of Medicine, Gastroenterology Division, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA

Search for more papers by this author

Weiguo Zhang PhD,

Corresponding Author

Weiguo Zhang PhD

[email protected]

Department of Radiology, Institute of Surgery Research, Daping Hospital, Third Military Medical University, Chongqing, China

Chongqing Clinical Research Center of Imaging and Nuclear Medicine, Chongqing, China

Address reprint requests to: W.Z., Changjiangzhilu Road, Yuzhong District, Postal Code: 400042. E-mail: [email protected]Search for more papers by this author

First published: 28 August 2017

https://doi.org/10.1002/jmri.25835

Citations: 45

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Abstract

Background

Presurgical glioma grading by dynamic contrast-enhanced MRI (DCE-MRI) has unresolved issues.

Purpose

The aim of this study was to investigate the ability of textural features derived from pharmacokinetic model-based or model-free parameter maps of DCE-MRI in discriminating between different grades of gliomas, and their correlation with pathological index.

Study Type

Retrospective.

Subjects

Forty-two adults with brain gliomas.

Field Strength/Sequence

3.0T, including conventional anatomic sequences and DCE-MRI sequences (variable flip angle T1-weighted imaging and three-dimensional gradient echo volumetric imaging).

Assessment

Regions of interest on the cross-sectional images with maximal tumor lesion. Five commonly used textural features, including Energy, Entropy, Inertia, Correlation, and Inverse Difference Moment (IDM), were generated.

Results

All textural features of model-free parameters (initial area under curve [IAUC], maximal signal intensity [Max SI], maximal up-slope [Max Slope]) could effectively differentiate between grade II (n = 15), grade III (n = 13), and grade IV (n = 14) gliomas (P < 0.05). Two textural features, Entropy and IDM, of four DCE-MRI parameters, including Max SI, Max Slope (model-free parameters), vp (Extended Tofts), and vp (Patlak) could differentiate grade III and IV gliomas (P < 0.01) in four measurements. Both Entropy and IDM of Patlak-based K^trans and vp could differentiate grade II (n = 15) from III (n = 13) gliomas (P < 0.01) in four measurements. No textural features of any DCE-MRI parameter maps could discriminate between subtypes of grade II and III gliomas (P < 0.05). Both Entropy and IDM of Extended Tofts- and Patlak-based vp showed highest area under curve in discriminating between grade III and IV gliomas. However, intraclass correlation coefficient (ICC) of these features revealed relatively lower inter-observer agreement. No significant correlation was found between microvascular density and textural features, compared with a moderate correlation found between cellular proliferation index and those features.

Data Conclusion

Textural features of DCE-MRI parameter maps displayed a good ability in glioma grading.

Level of Evidence: 3

Technical Efficacy: Stage 2

J. Magn. Reson. Imaging 2018;47:1099–1111.

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Volume47, Issue4

April 2018

Pages 1099-1111

Textural features of dynamic contrast-enhanced MRI derived model-free and model-based parameter maps in glioma grading

Abstract

Background

Purpose

Study Type

Subjects

Field Strength/Sequence

Assessment

Results

Data Conclusion

References

Citing Literature

References

Information

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Textural features of dynamic contrast-enhanced MRI derived model-free and model-based parameter maps in glioma grading

Abstract

Background

Purpose

Study Type

Subjects

Field Strength/Sequence

Assessment

Results

Data Conclusion

References

Citing Literature

References

Related

Information