Shanshan Jiang1,2, Hao Yu1, Xianlong Wang1, Shilong Lu1, Yufa Li3, Lyujin Feng1, Yi Zhang2, Hye-Young Heo2, Dong-Hoon Lee2, Jinyuan Zhou4, Zhibo Wen5. 1. Department of Radiology, Zhujiang Hospital, Southern Medical University, 253 Middle Gongye Road, Guangzhou, Guangdong, 510282, China. 2. Department of Radiology, Johns Hopkins University School of Medicine, 600 N. Wolfe Street, Baltimore, MD, 21287, USA. 3. Department of Pathology, Zhujiang Hospital, Southern Medical University, 253 Middle Gongye Road, Guangzhou, Guangdong, 510282, China. 4. Department of Radiology, Johns Hopkins University School of Medicine, 600 N. Wolfe Street, Baltimore, MD, 21287, USA. jzhou@mri.jhu.edu. 5. Department of Radiology, Zhujiang Hospital, Southern Medical University, 253 Middle Gongye Road, Guangzhou, Guangdong, 510282, China. zhibowen@163.com.
Abstract
OBJECTIVES: To show the ability of using the amide proton transfer-weighted (APTW) MRI signals as imaging biomarkers to differentiate primary central nervous system lymphomas (PCNSLs) from high-grade gliomas (HGGs). METHODS: Eleven patients with lymphomas and 21 patients with HGGs were examined. Magnetization-transfer (MT) spectra over an offset range of ± 6 ppm and the conventional MT ratio (MTR) at 15.6 ppm were acquired. The APTW signals, total chemical-exchange-saturation-transfer signal (integral between 0 and 5 ppm, CEST total), and MTR signal were obtained and compared between PCNSLs and HGGs. The diagnostic performance was assessed with the receiver operating characteristic (ROC) curve analysis. RESULTS: The PCNSLs usually showed more homogeneous APTW hyperintensity (spatially compared to normal brain tissue) than the HGGs. The APTW max, APTW max-min and CEST total signal intensities were significantly lower (P < 0.05, 0.001 and 0.05, respectively), while the APTW min and MTR were significantly higher (both P < 0.01) in PCNSL lesions than in HGG lesions. The APTW values in peritumoral oedema were significantly lower for PCNSLs than for HGGs (P < 0.01). APTW max-min had the highest area under the ROC curve (0.963) and accuracy (94.1 %) in differentiating PCNSLs from HGGs. CONCLUSIONS: The protein-based APTW signal would be a valuable MRI biomarker by which to identify PCNSLs and HGGs presurgically. KEY POINTS: PCNSLs overall showed more homogeneous APTW hyperintensity than HGGs. Maximum APTW signals were lower in PCNSL lesions than in HGG lesions. MTR signals were higher in PCNSLs than in HGGs. APTW heterogeneity had the highest accuracy in differentiating PCNSLs from HGGs.
OBJECTIVES: To show the ability of using the amide proton transfer-weighted (APTW) MRI signals as imaging biomarkers to differentiate primary central nervous system lymphomas (PCNSLs) from high-grade gliomas (HGGs). METHODS: Eleven patients with lymphomas and 21 patients with HGGs were examined. Magnetization-transfer (MT) spectra over an offset range of ± 6 ppm and the conventional MT ratio (MTR) at 15.6 ppm were acquired. The APTW signals, total chemical-exchange-saturation-transfer signal (integral between 0 and 5 ppm, CEST total), and MTR signal were obtained and compared between PCNSLs and HGGs. The diagnostic performance was assessed with the receiver operating characteristic (ROC) curve analysis. RESULTS: The PCNSLs usually showed more homogeneous APTW hyperintensity (spatially compared to normal brain tissue) than the HGGs. The APTW max, APTW max-min and CEST total signal intensities were significantly lower (P < 0.05, 0.001 and 0.05, respectively), while the APTW min and MTR were significantly higher (both P < 0.01) in PCNSL lesions than in HGG lesions. The APTW values in peritumoral oedema were significantly lower for PCNSLs than for HGGs (P < 0.01). APTW max-min had the highest area under the ROC curve (0.963) and accuracy (94.1 %) in differentiating PCNSLs from HGGs. CONCLUSIONS: The protein-based APTW signal would be a valuable MRI biomarker by which to identify PCNSLs and HGGs presurgically. KEY POINTS: PCNSLs overall showed more homogeneous APTW hyperintensity than HGGs. Maximum APTW signals were lower in PCNSL lesions than in HGG lesions. MTR signals were higher in PCNSLs than in HGGs. APTW heterogeneity had the highest accuracy in differentiating PCNSLs from HGGs.
Authors: Adrienne N Dula; Lori R Arlinghaus; Richard D Dortch; Blake E Dewey; Jennifer G Whisenant; Gregory D Ayers; Thomas E Yankeelov; Seth A Smith Journal: Magn Reson Med Date: 2012-08-20 Impact factor: 4.668
Authors: Shanshan Jiang; Tianyu Zou; Charles G Eberhart; Maria A V Villalobos; Hye-Young Heo; Yi Zhang; Yu Wang; Xianlong Wang; Hao Yu; Yongxing Du; Peter C M van Zijl; Zhibo Wen; Jinyuan Zhou Journal: Magn Reson Med Date: 2017-07-16 Impact factor: 4.668
Authors: Shanshan Jiang; Charles G Eberhart; Yi Zhang; Hye-Young Heo; Zhibo Wen; Lindsay Blair; Huamin Qin; Michael Lim; Alfredo Quinones-Hinojosa; Jon D Weingart; Peter B Barker; Martin G Pomper; John Laterra; Peter C M van Zijl; Jaishri O Blakeley; Jinyuan Zhou Journal: Eur J Cancer Date: 2017-07-10 Impact factor: 9.162