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01-02-2014 | Neuro

Grading of Cerebral Glioma with Multiparametric MR Imaging and ¹⁸F-FDG-PET: Concordance and Accuracy

Authors: Jeong Hee Yoon, Ji-hoon Kim, Won Jun Kang, Chul-Ho Sohn, Seung Hong Choi, Tae Jin Yun, Yong Eun, Yong Sub Song, Kee-Hyun Chang

Published in: European Radiology | Issue 2/2014

Abstract

Objectives

To retrospectively evaluate concordance rates and predictive values in concordant cases among multiparametric MR techniques and FDG-PET to grade cerebral gliomas.

Methods

Multiparametric MR imaging and FDG-PET were performed in 60 consecutive patients with cerebral gliomas (12 low-grade and 48 high-grade gliomas). As the dichotomic variables, conventional MRI, minimum apparent diffusion coefficient in diffusion-weighted imaging, maximum relative cerebral blood volume ratio in perfusion-weighted imaging, choline/creatine ratio and (lipid and lactate)/creatine ratio in MR spectroscopy, and maximum standardised uptake value ratio in FDG-PET in low- and high-grade gliomas were compared. Their concordance rates and positive/negative predictive values (PPV/NPV) in concordant cases were obtained for the various combinations of multiparametric MR techniques and FDG-PET.

Results

There were significant differences between low- and high-grade gliomas in all techniques. Combinations of two, three, four, and five out of the five techniques showed concordance rates of 77.0 ± 4.8 %, 65.5 ± 4.0 %, 58.3 ± 2.6 % and 53.3 %, PPV in high-grade concordant cases of 97.3 ± 1.7 %, 99.1 ± 1.4 %, 100.0 ± 0 % and 100.0 % and NPV in low-grade concordant cases of 70.2 ± 7.5 %, 78.0 ± 6.0 %, 80.3 ± 3.4 % and 80.0 %, respectively.

Conclusion

Multiparametric MR techniques and FDG-PET have a concordant tendency in a two-tiered classification for the grading of cerebral glioma. If at least two examinations concordantly indicated high-grade gliomas, the PPV was about 95 %.

Key Points

• Modern imaging techniques can help predict the aggressiveness of cerebral gliomas.

• Multiparametric MRI and FDG-PET have a concordant tendency to grade cerebral gliomas.

• Their high-grade concordant cases revealed at least 95 % positive predictive values.

• Their low-grade concordant cases revealed about 70–80 % negative predictive values.

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Title: Grading of Cerebral Glioma with Multiparametric MR Imaging and 18F-FDG-PET: Concordance and Accuracy
Authors: Jeong Hee Yoon
Ji-hoon Kim
Won Jun Kang
Chul-Ho Sohn
Seung Hong Choi
Tae Jin Yun
Yong Eun
Yong Sub Song
Kee-Hyun Chang
Publication date: 01-02-2014
Publisher: Springer Berlin Heidelberg
Published in: European Radiology / Issue 2/2014
Print ISSN: 0938-7994
Electronic ISSN: 1432-1084
DOI: https://doi.org/10.1007/s00330-013-3019-3

ACC 2024 Congress

Springer Medicine

Grading of Cerebral Glioma with Multiparametric MR Imaging and ¹⁸F-FDG-PET: Concordance and Accuracy

Abstract

Objectives

Methods

Results

Conclusion

Key Points

ACC 2024 Congress

Springer Medicine

Abstract

Objectives

Methods

Results

Conclusion

Key Points

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