Differentiating brain metastasis from glioblastoma by time-dependent diffusion MRI

Cancer Imaging

Research Article

Kiyohisa Kamimura¹  Takashi Yoshiura²  Hiroyuki Uchida³  Kazuhiro Tabata⁴  Takashi Iwanaga⁵  Soichiro Ito⁶  Koji Takumi⁶  Fumitaka Ejima⁶  Tomohito Hasegawa⁶  Kentaro Akune⁶  Masatoyo Nakajo⁶  Yoshiki Kamimura⁶  Hiroaki Nagano⁶  Takuro Ayukawa⁶  Masanori Nakajo⁶  Chihiro Yamada⁶  Tsubasa Nakano⁶  Thorsten Feiweier⁷  Hiroshi Imai⁸ 

[1] Department of Advanced Radiological Imaging, Kagoshima University Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, 890-8544, Kagoshima, Japan;Department of Advanced Radiological Imaging, Kagoshima University Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, 890-8544, Kagoshima, Japan;Department of Radiology, Kagoshima University Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, 890-8544, Kagoshima, Japan;Department of Neurosurgery, Kagoshima University Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, 890-8544, Kagoshima, Japan;Department of Pathology, Kagoshima University Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, 890-8544, Kagoshima, Japan;Department of Radiological Technology, Kagoshima University Hospital, 8-35-1 Sakuragaoka, 890-8544, Kagoshima, Japan;Department of Radiology, Kagoshima University Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, 890-8544, Kagoshima, Japan;Siemens Healthcare GmbH, Henkestrasse 127, 91052, Erlangen, Germany;Siemens Healthcare K.K., Gate City Osaki West Tower, 1-11-1 Osaki, Shinagawa-Ku, 141-8644, Tokyo, Japan;

关键词: Diffusion;    Glioblastoma;    Magnetic resonance imaging;    Neoplasm metastasis;   

DOI  :  10.1186/s40644-023-00595-2

 received in 2023-05-14, accepted in 2023-07-24,  发布年份 2023

来源: Springer

【 摘 要 】

BackgroundThis study was designed to investigate the use of time-dependent diffusion magnetic resonance imaging (MRI) parameters in distinguishing between glioblastomas and brain metastases.MethodsA retrospective study was conducted involving 65 patients with glioblastomas and 27 patients with metastases using a diffusion-weighted imaging sequence with oscillating gradient spin-echo (OGSE, 50 Hz) and a conventional pulsed gradient spin-echo (PGSE, 0 Hz) sequence. In addition to apparent diffusion coefficient (ADC) maps from two sequences (ADC50Hz and ADC0Hz), we generated maps of the ADC change (cADC): ADC50Hz − ADC0Hz and the relative ADC change (rcADC): (ADC50Hz − ADC0Hz)/ ADC0Hz × 100 (%).ResultsThe mean and the fifth and 95th percentile values of each parameter in enhancing and peritumoral regions were compared between glioblastomas and metastases. The area under the receiver operating characteristic curve (AUC) values of the best discriminating indices were compared. In enhancing regions, none of the indices of ADC0Hz and ADC50Hz showed significant differences between metastases and glioblastomas. The mean cADC and rcADC values of metastases were significantly higher than those of glioblastomas (0.24 ± 0.12 × 10−3mm2/s vs. 0.14 ± 0.03 × 10−3mm2/s and 23.3 ± 9.4% vs. 14.0 ± 4.7%; all p < 0.01). In peritumoral regions, no significant difference in all ADC indices was observed between metastases and glioblastomas. The AUC values for the mean cADC (0.877) and rcADC (0.819) values in enhancing regions were significantly higher than those for ADC0Hz5th (0.595; all p < 0.001).ConclusionsThe time-dependent diffusion MRI parameters may be useful for differentiating brain metastases from glioblastomas.

【 授权许可】

CC BY   
© International Cancer Imaging Society (ICIS) 2023

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