Jianye Liang1, Dexiang Liu2, Peng Gao1, Dong Zhang1, Hanwei Chen2, Changzheng Shi3, Liangping Luo4. 1. Medical Imaging Center, The First Affiliated Hospital of Jinan University, No.613, Huangpu Road West Tianhe District, Guangzhou, 510630, China. 2. Department of Radiology, Guangzhou Panyu Central Hospital, Guangzhou, Guangdong, China. 3. Medical Imaging Center, The First Affiliated Hospital of Jinan University, No.613, Huangpu Road West Tianhe District, Guangzhou, 510630, China. Electronic address: tsczcn@jnu.edu.cn. 4. Medical Imaging Center, The First Affiliated Hospital of Jinan University, No.613, Huangpu Road West Tianhe District, Guangzhou, 510630, China. Electronic address: tluolp@jnu.edu.cn.
Abstract
RATIONALE AND OBJECTIVES: This study aimed to collect the studies on the role of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and dynamic susceptibility contrast MRI (DSC-MRI) in differentiating the grades of gliomas, and evaluate the diagnostic performances of relevant quantitative parameters in glioma grading. MATERIALS AND METHODS: We systematically searched studies on the diagnosis of gliomas with DCE-MRI or DSC-MRI in Medline, PubMed, China National Knowledge Infrastructure database, Cochrane Library, and Embase published between January 2005 and December 2016. Standardized mean differences and 95% confidence intervals were calculated for volume transfer coefficient (Ktrans), volume fraction of extravascular extracellular space (Ve), rate constant of backflux (Kep), relative cerebral blood volume (rCBV), and relative cerebral blood flow (rCBF) using Review Manager 5.2 software. Sensitivity, specificity, area under the curve (AUC), and Begg test were calculated by Stata 12.0. RESULTS: Twenty-two studies with available outcome data were included in the analysis. The standardized mean difference of Ktrans values between high-grade glioma and low-grade glioma were 1.18 (0.91, 1.45); Ve values were 1.43 (1.06, 1.80); Kep values were 0.65 (-0.05, 1.36); rCBV values were 1.44 (1.08, 1.81); and rCBF values were 1.17 (0.68, 1.67), respectively. The results were all significant statistically (P < .05) except Kep values (P = .07), and high-grade glioma had higher Ktrans, Ve, rCBV, and rCBF values than low-grade glioma. AUC values of Ktrans, Ve, rCBV, and rCBF were 0.90, 0.88, 0.93, and 0.73, respectively; rCBV had the largest AUC among the four parameters (P < .05). CONCLUSION: Both DCE-MRI and DSC-MRI are reliable techniques in differentiating the grades of gliomas, and rCBV was found to be the most sensitive one.
RATIONALE AND OBJECTIVES: This study aimed to collect the studies on the role of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and dynamic susceptibility contrast MRI (DSC-MRI) in differentiating the grades of gliomas, and evaluate the diagnostic performances of relevant quantitative parameters in glioma grading. MATERIALS AND METHODS: We systematically searched studies on the diagnosis of gliomas with DCE-MRI or DSC-MRI in Medline, PubMed, China National Knowledge Infrastructure database, Cochrane Library, and Embase published between January 2005 and December 2016. Standardized mean differences and 95% confidence intervals were calculated for volume transfer coefficient (Ktrans), volume fraction of extravascular extracellular space (Ve), rate constant of backflux (Kep), relative cerebral blood volume (rCBV), and relative cerebral blood flow (rCBF) using Review Manager 5.2 software. Sensitivity, specificity, area under the curve (AUC), and Begg test were calculated by Stata 12.0. RESULTS: Twenty-two studies with available outcome data were included in the analysis. The standardized mean difference of Ktrans values between high-grade glioma and low-grade glioma were 1.18 (0.91, 1.45); Ve values were 1.43 (1.06, 1.80); Kep values were 0.65 (-0.05, 1.36); rCBV values were 1.44 (1.08, 1.81); and rCBF values were 1.17 (0.68, 1.67), respectively. The results were all significant statistically (P < .05) except Kep values (P = .07), and high-grade glioma had higher Ktrans, Ve, rCBV, and rCBF values than low-grade glioma. AUC values of Ktrans, Ve, rCBV, and rCBF were 0.90, 0.88, 0.93, and 0.73, respectively; rCBV had the largest AUC among the four parameters (P < .05). CONCLUSION: Both DCE-MRI and DSC-MRI are reliable techniques in differentiating the grades of gliomas, and rCBV was found to be the most sensitive one.
Authors: Marianna Inglese; Katherine L Ordidge; Lesley Honeyfield; Tara D Barwick; Eric O Aboagye; Adam D Waldman; Matthew Grech-Sollars Journal: Neuroradiology Date: 2019-08-07 Impact factor: 2.804
Authors: Sachi Okuchi; Antonio Rojas-Garcia; Agne Ulyte; Ingeborg Lopez; Jurgita Ušinskienė; Martin Lewis; Sara M Hassanein; Eser Sanverdi; Xavier Golay; Stefanie Thust; Jasmina Panovska-Griffiths; Sotirios Bisdas Journal: Cancer Med Date: 2019-08-07 Impact factor: 4.452