Koji Yamashita1, Akio Hiwatashi2, Osamu Togao2, Kazufumi Kikuchi2, Yoshiyuki Kitamura2, Masahiro Mizoguchi3, Koji Yoshimoto3, Daisuke Kuga3, Satoshi O Suzuki4, Shingo Baba2, Takuro Isoda2, Toru Iwaki4, Koji Iihara3, Hiroshi Honda2. 1. Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, Maidashi, Higashi-ku, Fukuoka, Japan. yamakou@radiol.med.kyushu-u.ac.jp. 2. Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, Maidashi, Higashi-ku, Fukuoka, Japan. 3. Department of Neurosurgery, Graduate School of Medical Sciences, Kyushu University, Maidashi, Higashi-ku, Fukuoka, Japan. 4. Department of Neuropathology, Graduate School of Medical Sciences, Kyushu University, Maidashi, Higashi-ku, Fukuoka, Japan.
Abstract
PURPOSE: To evaluate the diagnostic performance of intravoxel incoherent motion (IVIM) MR imaging and 18 F-fluorodeoxyglucose positron emission tomography (FDG-PET) in differentiating primary central nervous system lymphoma (PCNSL) from glioblastoma multiforme (GBM). MATERIALS AND METHODS: Fifty patients, 17 with PCNSL and 33 with GBM, were retrospectively studied. From the 3 Tesla IVIM data, the perfusion fraction (f) and diffusion coefficient (D) were obtained. In addition, the maximum standard uptake value (SUVmax ) was obtained from the FDG-PET data. Each of the three parameters was compared between PCNSL and GBM using Mann-Whitney U-test. The performance in discriminating between PCNSL and GBM was evaluated using receiver-operating characteristics analysis and area-under-the-curve (AUC) values for the three parameters. RESULTS: The fmax and Dmin values were significantly higher in GBM than in PCNSL (P < 0.01 and P < 0.0001, respectively). In addition, the SUVmax value was significantly lower in GBM than in PCNSL (P < 0.0005). The AUC values for fmax , Dmin , and SUVmax were 0.756, 0.905, and 0.857, respectively. The combination of the fmax and Dmin increased the diagnostic performance (AUC = 0.936) of fmax (P < 0.05), but this value was not significantly different from the values for Dmin (P = 0.30). CONCLUSION: IVIM-MR imaging noninvasively provides useful quantitative information in distinguishing between PCNSL and GBM. J. Magn. Reson. Imaging 2016;44:1256-1261.
PURPOSE: To evaluate the diagnostic performance of intravoxel incoherent motion (IVIM) MR imaging and 18 F-fluorodeoxyglucose positron emission tomography (FDG-PET) in differentiating primary central nervous system lymphoma (PCNSL) from glioblastoma multiforme (GBM). MATERIALS AND METHODS: Fifty patients, 17 with PCNSL and 33 with GBM, were retrospectively studied. From the 3 Tesla IVIM data, the perfusion fraction (f) and diffusion coefficient (D) were obtained. In addition, the maximum standard uptake value (SUVmax ) was obtained from the FDG-PET data. Each of the three parameters was compared between PCNSL and GBM using Mann-Whitney U-test. The performance in discriminating between PCNSL and GBM was evaluated using receiver-operating characteristics analysis and area-under-the-curve (AUC) values for the three parameters. RESULTS: The fmax and Dmin values were significantly higher in GBM than in PCNSL (P < 0.01 and P < 0.0001, respectively). In addition, the SUVmax value was significantly lower in GBM than in PCNSL (P < 0.0005). The AUC values for fmax , Dmin , and SUVmax were 0.756, 0.905, and 0.857, respectively. The combination of the fmax and Dmin increased the diagnostic performance (AUC = 0.936) of fmax (P < 0.05), but this value was not significantly different from the values for Dmin (P = 0.30). CONCLUSION: IVIM-MR imaging noninvasively provides useful quantitative information in distinguishing between PCNSL and GBM. J. Magn. Reson. Imaging 2016;44:1256-1261.
Authors: K Kikuchi; A Hiwatashi; O Togao; K Yamashita; R Kamei; D Momosaka; N Hata; K Iihara; S O Suzuki; T Iwaki; H Honda Journal: AJNR Am J Neuroradiol Date: 2019-04-25 Impact factor: 3.825
Authors: K Yamashita; R Kamei; H Sugimori; T Kuwashiro; S Tokunaga; K Kawamata; K Furuya; S Harada; J Maehara; Y Okada; T Noguchi Journal: AJNR Am J Neuroradiol Date: 2022-04-21 Impact factor: 3.825
Authors: G I Cassinelli Petersen; J Shatalov; T Verma; W R Brim; H Subramanian; A Brackett; R C Bahar; S Merkaj; T Zeevi; L H Staib; J Cui; A Omuro; R A Bronen; A Malhotra; M S Aboian Journal: AJNR Am J Neuroradiol Date: 2022-03-31 Impact factor: 3.825