Volume 57, Issue 5 pp. 1464-1474

Research Article

Histogram Analysis Based on Neurite Orientation Dispersion and Density MR Imaging for Differentiation Between Glioblastoma Multiforme and Solitary Brain Metastasis and Comparison of the Diagnostic Performance of Two ROI Placements

Jinbo Qi MD,

Jinbo Qi MD

orcid.org/0000-0002-8949-6318

Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China

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Peipei Wang MD,

Peipei Wang MD

Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China

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Guohua Zhao PhD,

Guohua Zhao PhD

Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China

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Eryuan Gao MD,

Eryuan Gao MD

orcid.org/0000-0003-1197-8904

Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China

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Kai Zhao MD,

Kai Zhao MD

Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China

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Ankang Gao PhD,

Ankang Gao PhD

Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China

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Jie Bai PhD,

Jie Bai PhD

Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China

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Huiting Zhang PhD,

Huiting Zhang PhD

MR Scientific Marketing, Siemens Healthineers Ltd, Wuhan, China

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Guang Yang PhD,

Guang Yang PhD

Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China

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Yong Zhang PhD,

Yong Zhang PhD

orcid.org/0000-0003-4892-6614

Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China

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Xiaoyue Ma PhD,

Corresponding Author

Xiaoyue Ma PhD

[email protected]

Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China

Address reprint requests to: J.C. or X.M., Department of MRI, The First Affiliated Hospital of Zhengzhou University, No. 1, Jianshe Dong Road, Zhengzhou 450052, China. E-mail: [email protected]; [email protected]

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Jingliang Cheng PhD,

Corresponding Author

Jingliang Cheng PhD

[email protected]

orcid.org/0000-0002-2867-3237

Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China

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Jinbo Qi MD,

Jinbo Qi MD

orcid.org/0000-0002-8949-6318

Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China

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Peipei Wang MD,

Peipei Wang MD

Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China

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Guohua Zhao PhD,

Guohua Zhao PhD

Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China

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Eryuan Gao MD,

Eryuan Gao MD

orcid.org/0000-0003-1197-8904

Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China

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Kai Zhao MD,

Kai Zhao MD

Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China

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Ankang Gao PhD,

Ankang Gao PhD

Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China

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Jie Bai PhD,

Jie Bai PhD

Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China

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Huiting Zhang PhD,

Huiting Zhang PhD

MR Scientific Marketing, Siemens Healthineers Ltd, Wuhan, China

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Guang Yang PhD,

Guang Yang PhD

Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China

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Yong Zhang PhD,

Yong Zhang PhD

orcid.org/0000-0003-4892-6614

Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China

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Xiaoyue Ma PhD,

Corresponding Author

Xiaoyue Ma PhD

[email protected]

Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China

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Jingliang Cheng PhD,

Corresponding Author

Jingliang Cheng PhD

[email protected]

orcid.org/0000-0002-2867-3237

Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China

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First published: 06 September 2022

https://doi.org/10.1002/jmri.28419

Citations: 2

Jinbo Qi and Peipei Wang contributed equally to this work.

Grant sponsor: This study was supported by a public service platform for artificial intelligence screening and auxiliary diagnosis for the medical and health industry, Ministry of Industry and Information Technology of the People's Republic of China (No. CEIEC-2020-ZM02-0103/03), and the Youth Project of Henan Medical Science and Technology Research Project (No. SBGJ202103078).

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Abstract

Background

Preoperative differentiation of glioblastoma multiforme (GBM) and solitary brain metastasis (SBM) contributes to guide neurosurgical decision-making.

Purpose

To explore the value of histogram analysis based on neurite orientation dispersion and density imaging (NODDI) in differentiating between GBM and SBM and comparison of the diagnostic performance of two region of interest (ROI) placements.

Study Type

Retrospective.

Population

In all, 109 patients with GBM (n = 57) or SBM (n = 52) were enrolled.

Field Strength/Sequence

A 3.0 T scanners. T₂-dark-fluid sequence, contrast-enhanced T₁ magnetization-prepared rapid gradient echo sequence, and NODDI.

Assessment

ROIs were placed on the peritumoral edema area (ROI1) and whole tumor area (ROI2, included the cystic, necrotic, and hemorrhagic areas). Histogram parameters of each isotropic volume fraction (ISOVF), intracellular volume fraction (ICVF), and orientation dispersion index (ODI) from NODDI images for two ROIs were calculated, respectively.

Statistical Tests

Mann–Whitney U test, independent t-test, chi-square test, multivariate logistic regression analysis, DeLong's test.

Results

For the ROI1 and ROI2, the ICVF_min and ODI_mean obtained the highest area under curve (AUC, AUC = 0.741 and 0.750, respectively) compared to other single parameters, and the AUC of the multivariate logistic regression model was 0.851 and 0.942, respectively. DeLong's test revealed significant difference in diagnostic performance between optimal single parameter and multivariate logistic regression model within the same ROI, and the multivariate logistic regression models between two different ROIs.

Data Conclusion

The performance of multivariate logistic regression model is superior to optimal single parameter in both ROIs based on NODDI histogram analysis to distinguish SBM from GBM, and the ROI placed on the whole tumor area exhibited better diagnostic performance.

Evidence Level

Technical Efficacy

Stage 2

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Citing Literature

Volume57, Issue5

May 2023

Pages 1464-1474

Histogram Analysis Based on Neurite Orientation Dispersion and Density MR Imaging for Differentiation Between Glioblastoma Multiforme and Solitary Brain Metastasis and Comparison of the Diagnostic Performance of Two ROI Placements

Abstract

Background

Purpose

Study Type

Population

Field Strength/Sequence

Assessment

Statistical Tests

Results

Data Conclusion

Evidence Level

Technical Efficacy

References

Citing Literature

References

Information

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Histogram Analysis Based on Neurite Orientation Dispersion and Density MR Imaging for Differentiation Between Glioblastoma Multiforme and Solitary Brain Metastasis and Comparison of the Diagnostic Performance of Two ROI Placements

Abstract

Background

Purpose

Study Type

Population

Field Strength/Sequence

Assessment

Statistical Tests

Results

Data Conclusion

Evidence Level

Technical Efficacy

References

Citing Literature

References

Related

Information