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Handan, China

Hou B.,CT Scan Room | Xiang S.-F.,CT Scan Room | Yao G.-D.,Handan Central Hospital | Yang S.-J.,CT Scan Room | And 3 more authors.
Tumor Biology | Year: 2014

The aim of this meta-analysis is to demonstrate whether diffusion-weighted magnetic resonance imaging (DWI) could assist in the precise diagnosis of cervical cancer or not. Both English and Chinese electronic databases were searched for potential relevant studies followed by a comprehensive literature search without any language restriction. Two reviewers independently assessed the methodological quality of the included trials. Standardized mean difference (SMD) and its corresponding 95 % confidence interval (95 % CI) were calculated in this meta-analysis. We chose Version 12.0 STATA statistical software to analyze our statistical data. Thirteen eligible cohort studies were selected for statistical analysis, including 645 tumor tissues and 504 normal tissues. Combined SMD of apparent diffusion coefficient (ADC) suggested that the ADC value in cervical cancer tissues was significantly lower than that of normal tissue (SMD = 2.80, 95 % CI = 2.64 ~ 2.96, P < 0.001). Subgroup analysis stratified by ethnicity indicated a higher ADC value in the normal tissues compared to the cancer tissues in both the Asian and Caucasian subgroups (Asians: SMD = 2.83, 95 % CI = 2.64 ~ 3.02, P < 0.001; Caucasians: SMD = 2.73, 95 % CI = 2.45 ~ 3.01, P < 0.001, respectively). The results from the subgroup analysis by MRI machine type revealed a statistically significant difference in ADC value between normal cervical tissue and tumor tissues among all of the six MRI machine type subgroups (all P < 0.05). The main finding from our meta-analysis revealed that increased signal intensity on DWI and decreased signal on ADC seem to be useful in the diagnosis of cervical cancer. DWI could therefore be an important imaging tool in potentially identifying patients with cervical cancer. © 2014 International Society of Oncology and BioMarkers (ISOBM).

Wang Y.-F.,CT Scan Room | Hou B.,CT Scan Room | Yang S.-J.,CT Scan Room | Zhang X.-R.,CT Scan Room | And 3 more authors.
Journal of Cancer Research and Therapeutics | Year: 2016

Background: The objective of the current meta.analysis was to assess the arterial spin labeling. (ASL) perfusion imaging measurement of cerebral blood flow. (CBF) in patients with brain tumors, and assessing preoperative tumor grade in brain. Materials and Methods: PubMed, Web of Science, Embase, China BioMedicine (CBM), CINAHL, Cochrane Library, and China National Knowledge Infrastructure (CNKI) databases were chosen to evaluate the associations between ASL and brain cancer. Two reviewers separately evaluated the quality of the included trials. Standardized mean difference (SMD) at 95% confidence interval (95% CI) was also calculated. Results: Finally, 475 patients were enrolled into this meta-analysis from 12 eligible studies and were selected for statistical analysis. Results showed that relative tumor blood flow (rTBF) and relative cerebral blood flow (rCBF) in high-grade brain cancer patients were faster than those in low-grade brain cancer patients. Subgroup analysis stratified by country implied that ASL may be the main prediction of increased rTBF in high-grade brain cancer patients among USA, Korea and China; and rCBF was faster in high-grade brain cancer using ASL in USA and China. Further reference by tissue-stratified analysis revealed a positive association of rTBF with high-grade brain cancer by utilization of ASL in all the experimental subgroups, while rCBF was only correlated in white subgroups. Conclusion: These results showed that rTBF and rCBF were faster in high-grade brain cancer patients, suggesting that ASL may provide suitable measurement for the differential diagnosis of tumor grade in brain.

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