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Yan R, Haopeng P, Xiaoyuan F, Jinsong W, Jiawen Z, Chengjun Y, Tianming Q, Ji X, Mao S, Yueyue D, Yong Z, Jianfeng L, Zhenwei Y. Non-Gaussian diffusion MR imaging of glioma: comparisons of multiple diffusion parameters and correlation with histologic grade and MIB-1 (Ki-67 labeling) index. Neuroradiology 2015; 58:121-32. [PMID: 26494463 DOI: 10.1007/s00234-015-1606-5] [Citation(s) in RCA: 40] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2015] [Accepted: 10/02/2015] [Indexed: 12/12/2022]
Abstract
INTRODUCTION This study was conducted to compare the association of Gaussian and non-Gaussian magnetic resonance imaging (MRI)-derived parameters with histologic grade and MIB-1 (Ki-67 labeling) index (MI) in brain glioma. METHODS Sixty-five patients with pathologically confirmed glioma, who underwent diffusion-weighted MRI with 2 b values (0, 1000 s/mm(2)) and 22 b values (≤5000 s/mm(2)), respectively, were divided into three groups of grade II (n = 35), grade III (n = 8), and grade IV (n = 22). Comparisons by two groups were made for apparent diffusion coefficient (ADC), slow diffusion coefficient (Dslow), distributed diffusion coefficient (DDC), and heterogeneity index α. Analyses of receiver operating characteristic (ROC) curve were performed to maximize the area under the curve (AUC) for differentiating grade III + IV (high-grade glioma, HGG) from grade II (low-grade glioma, LGG) and grade IV (glioblastoma multiforme, GBM) from grade II + III (other grade glioma, OGG). Correlations with MI were analyzed for the MRI parameters. RESULTS On tumor regions, the values of ADC, Dslow, DDC, and α were significantly higher in grade II [(1.37 ± 0.29, 0.70 ± 0.11, 1.39 ± 0.34) (×10(-3) mm(2)/s) and 0.88 ± 0.05, respectively] than in grade III [(0.99 ± 0.13, 0.55 ± 0.07, 1.04 ± 0.20) (×10(-3) mm(2)/s) and 0.80 ± 0.03, respectively] and grade IV [(1.03 ± 0.14, 0.50 ± 0.05, 1.02 ± 0.16) (×10(-3) mm(2)/s) and 0.76 ± 0.04, respectively] (all P < 0.001). The parameter α showed the highest AUCs of 0.950 and 0.922 in discriminating HGG from LGG and GBM from OGG, respectively. Significant correlations with histologic grade and MI were observed for the MRI parameters. CONCLUSION The non-Gaussian MRI-derived parameters α and Dslow are superior to ADC in glioma grading, which are comparable with ADC as reliable biomarkers in noninvasively predicting the proliferation level of glioma malignancy.
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Affiliation(s)
- Ren Yan
- Department of Radiology, Huashan Hospital, Fudan University, Mid Wulumuqi Road, Shanghai, 200040, PR China
| | - Pang Haopeng
- Department of Radiology, Huashan Hospital, Fudan University, Mid Wulumuqi Road, Shanghai, 200040, PR China
| | - Feng Xiaoyuan
- Department of Radiology, Huashan Hospital, Fudan University, Mid Wulumuqi Road, Shanghai, 200040, PR China.
| | - Wu Jinsong
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, PR China
| | - Zhang Jiawen
- Department of Radiology, Huashan Hospital, Fudan University, Mid Wulumuqi Road, Shanghai, 200040, PR China
| | - Yao Chengjun
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, PR China
| | - Qiu Tianming
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, PR China
| | - Xiong Ji
- Department of Neuropathology, Huashan Hospital, Fudan University, Shanghai, PR China
| | - Sheng Mao
- Department of Imaging, Suzhou Children's Hospital, Suzhou, Jiangsu, PR China
| | - Ding Yueyue
- Department of Imaging, Suzhou Children's Hospital, Suzhou, Jiangsu, PR China
| | - Zhang Yong
- MR Research, GE Healthcare, Shanghai, PR China
| | - Luo Jianfeng
- Department of Biostatistics, Public Health School, Fudan University, Shanghai, PR China
| | - Yao Zhenwei
- Department of Radiology, Huashan Hospital, Fudan University, Mid Wulumuqi Road, Shanghai, 200040, PR China
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Qunhua L, Jiawen Z, Bozhao L, Zhilan P, Huijie Z, Shaoying W, Delun M, Hsu LN. Investigation of association between female genital tract diseases and Schistosomiasis japonica infection. Acta Trop 2000; 77:179-83. [PMID: 11080508 DOI: 10.1016/s0001-706x(00)00129-7] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Abstract
With the support of WHO/TDR, a case-control study was undertaken to explore the association between female genital tract manifestation and Schistosomiasis japonica. Two thousand one hundred and six women aged 18-50 in a township with schistosomiasis japonica infection rate of >15% were surveyed using modified Kato-Katz method qualitatively and quantitatively. Two hundred and forty four women with schistosomiasis japonica were selected as experimental group and 236 matched healthy women as control group. Sixty nine items including cervix smear and the S. japonicum circulating antigen in intrauterine lavage were investigated. The results showed that physically, menstrual disorder and shorter stature and lighter weight of the first newborn occurred more frequently in the experimental group than that in control group. As for female genital tract manifestation, there were more cases with chronic cervicitis and uterine enlargement in the experimental group than that in the control group. Schistosome circulating antigen was detected in intrauterine lavage from 13 cases with schistosomiasis by ELISA. No evidence was found to show that female genital tract diseases be directly caused by S. japonicum, but the findings emerging from this survey merit further study.
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Affiliation(s)
- L Qunhua
- Sichuan Institute of Parasitic Diseases, Sichuan Province 610041, Chengdu, PR China.
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