Meningioma, glioma, and metastases are the most common intracranial tumors in clinical practice. In order to improve the prognosis of patients, timely diagnosis and early treatment are crucial. Hydrogen proton magnetic resonance spectroscopy (1H-MRS) imaging can noninvasively display the biochemical information of tissues in vivo and has been applied to identify and diagnose intracranial tumors. We want to comprehensively evaluate 1H-MRS identify and diagnose intracranial tumors by meta-analysis. Some databases such as PubMed and Cochrane Library were used to systematically search articles that were about identifying and diagnosing intracranial tumors with 1H-MRS. Then, weighted mean difference (WMD) was used as an effect size to conduct meta-analysis. There are altogether nine articles, including 533 patients. Results of meta-analysis: The Cho/Cr and Cho/NAA ratios in the LGG group were significantly lower than those in the HGG group (WMD = −0.69, 95% CI (−0.92, −0.45), P < 0.001 , WMD = −0.76, 95% CI (−1.03, −0.48), P < 0.001 ). The Cho/Cr ratio of tumor and peritumor in the HGG group was significantly different from that in the metastasis group (0.68, 95% CI (−1.27, 2.62), P < 0.001 , WMD = 0.94, 95% CI (0.41, 1.47), P < 0.001 ). There was no significant difference in the tumor and peritumor NAA/Cr ratio between the HGG group and metastasis group (WMD = −0.64, 95% CI (−1.63, 0.34), P = 0.31 , WMD = −0.22, 95% CI (−0.59, 0.15), P = 0.24 ). 1H-MRS can provide metabolic information of different intracranial tumors and can effectively diagnose and differentiate glioma and metastasis. 1H-MRS can also provide a reliable basis for the classification of glioma, and has certain clinical application value.
Based on multimodal functional magnetic resonance imaging technology, explore the changes of local brain function in the whole brain range of patients with primary insomnia at rest, and conduct correlation analysis to explore the relationship between this locality and function and clinical features. Provide further imaging evidence for the exploration of the neural mechanism of primary insomnia. Using multimodal functional magnetic resonance imaging, self-rating anxiety scale, self-rating depression scale to assess the status anxiety factor and trait anxiety of STAI in patients with primary insomnia (88 cases) and normal sleepers (82 cases). Factors and total scores, depressive mental disorders and total scores were statistically significantly different from the normal sleep group. The study found that patients with primary insomnia under the multimodal functional magnetic resonance imaging assisted treatment have abnormal local functional activities in multiple brain regions such as emotions and sensorimotor regions. We explored the brain of patients with primary insomnia from the perspective of functional differentiation. Changes in nerve activity are conducive to further understanding the characteristics of nerve activity in primary insomnia.
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