Histogram analysis of T2*-based pharmacokinetic imaging in cerebral glioma grading

Hua-Shan Liu; Shih-Wei Chiang; Hsiao-Wen Chung; Ping-Huei Tsai; Fei-Ting Hsu; Nai-Yu Cho; Chao-Ying Wang; Ming-Chung Chou; Cheng-Yu Chen

doi:10.1016/j.cmpb.2017.11.011

Histogram analysis of T2*-based pharmacokinetic imaging in cerebral glioma grading

Comput Methods Programs Biomed. 2018 Mar:155:19-27. doi: 10.1016/j.cmpb.2017.11.011. Epub 2017 Nov 15.

Authors

Hua-Shan Liu¹, Shih-Wei Chiang², Hsiao-Wen Chung³, Ping-Huei Tsai⁴, Fei-Ting Hsu⁵, Nai-Yu Cho⁶, Chao-Ying Wang⁷, Ming-Chung Chou⁸, Cheng-Yu Chen⁹

Affiliations

¹ School of Biomedical Engineering, College of Biomedical Engineering, Taipei Medical University, Taipei, Taiwan; International Ph.D. Program in Biomedical Engineering, College of Biomedical Engineering, Taipei Medical University, Taipei, Taiwan; Research Center of Translational Imaging, College of Medicine, Taipei Medical University, Taipei, Taiwan; Radiogenomic Research Center, Taipei Medical University Hospital, Taipei Medical University, Taipei, Taiwan.
² Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan; Department of Radiology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
³ Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan; Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan.
⁴ Research Center of Translational Imaging, College of Medicine, Taipei Medical University, Taipei, Taiwan; Radiogenomic Research Center, Taipei Medical University Hospital, Taipei Medical University, Taipei, Taiwan; Department of Radiology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan; Department of Medical Imaging, Taipei Medical University Hospital, Taipei Medical University, Taipei, Taiwan; Department of Medical Research, Taipei Medical University Hospital, Taipei Medical University, Taipei, Taiwan.
⁵ Research Center of Translational Imaging, College of Medicine, Taipei Medical University, Taipei, Taiwan; Radiogenomic Research Center, Taipei Medical University Hospital, Taipei Medical University, Taipei, Taiwan; Department of Radiology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan; Department of Medical Imaging, Taipei Medical University Hospital, Taipei Medical University, Taipei, Taiwan.
⁶ Department of Radiology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
⁷ Department and Graduate Institute of Biology and Anatomy, National Defense Medical Center, Taipei, Taiwan.
⁸ Department of Medical Imaging and Radiological Sciences, Kaohsiung Medical University, Kaohsiung, Taiwan; Department of Healthcare Administration and Medical Informatics, Kaohsiung Medical University, Kaohsiung, Taiwan.
⁹ Research Center of Translational Imaging, College of Medicine, Taipei Medical University, Taipei, Taiwan; Radiogenomic Research Center, Taipei Medical University Hospital, Taipei Medical University, Taipei, Taiwan; Department of Radiology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan; Department of Medical Imaging, Taipei Medical University Hospital, Taipei Medical University, Taipei, Taiwan; Department of Medical Research, Taipei Medical University Hospital, Taipei Medical University, Taipei, Taiwan. Electronic address: sandychen@tmu.edu.tw.

PMID: 29512499
DOI: 10.1016/j.cmpb.2017.11.011

Abstract

Background and objective: To investigate the feasibility of histogram analysis of the T2*-based permeability parameter volume transfer constant (K^trans) for glioma grading and to explore the diagnostic performance of the histogram analysis of K^trans and blood plasma volume (v_p).

Methods: We recruited 31 and 11 patients with high- and low-grade gliomas, respectively. The histogram parameters of K^trans and v_p, derived from the first-pass pharmacokinetic modeling based on the T2* dynamic susceptibility-weighted contrast-enhanced perfusion-weighted magnetic resonance imaging (T2* DSC-PW-MRI) from the entire tumor volume, were evaluated for differentiating glioma grades.

Results: Histogram parameters of K^trans and v_p showed significant differences between high- and low-grade gliomas and exhibited significant correlations with tumor grades. The mean K^trans derived from the T2* DSC-PW-MRI had the highest sensitivity and specificity for differentiating high-grade gliomas from low-grade gliomas compared with other histogram parameters of K^trans and v_p.

Conclusions: Histogram analysis of T2*-based pharmacokinetic imaging is useful for cerebral glioma grading. The histogram parameters of the entire tumor K^trans measurement can provide increased accuracy with additional information regarding microvascular permeability changes for identifying high-grade brain tumors.

Keywords: Cerebral glioma; Histogram analysis; Permeability imaging; Tumor grading.

MeSH terms

Adult
Aged
Aged, 80 and over
Blood-Brain Barrier
Brain Neoplasms / blood supply
Brain Neoplasms / diagnostic imaging*
Brain Neoplasms / pathology*
Capillary Permeability
Contrast Media / pharmacokinetics*
Female
Glioma / blood supply
Glioma / diagnostic imaging*
Glioma / pathology*
Humans
Magnetic Resonance Imaging / methods
Male
Middle Aged
Neoplasm Grading
Neovascularization, Pathologic
Retrospective Studies
Sensitivity and Specificity

Substances

Contrast Media