Grading of Cerebral Glioma with Multiparametric MR Imaging and 18F-FDG-PET: Concordance and Accuracy |
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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 |
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Institution: | 1. Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 110-744, Korea 2. Department of Nuclear Medicine, Seoul National University Hospital, Seoul, Korea 3. Department of Nuclear Medicine, Yonsei University College of Medicine, Seoul, Korea 4. College of Medicine, Seoul National University, Seoul, Korea 5. Department of Radiology, Soonchunhyang University Bucheon Hospital, Bucheon, Korea
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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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