ObjectiveTo investigate the morphology of brain regions undergoing multiple sclerosis (MS) MRI, and furthermore, to investigate possible diagnostic values of MRI for MS. MethodsMRI images of 42 MS patients (34 females and 8 males, aged between 35 and 81 years old, averaging at 58) who visited the hospital during the time from December 2007 to December 2013 were collected and analyzed. Routine T1, T2 and fluid attenuated inversion recovery (FLAIR) scans were performed on all the 42 patients. Sagittal T1, T2 and FLAIR scans were performed when necessary. Contrast-enhanced MRI was performed on 9 of the 42 patients. The abnormal findings from MRI scans of all the 42 patients were analyzed. The analysis was further concluded to yield general characteristics of MS patients under MRI. ResultsA total of 286 lesions were identified in 42 patients. Ninety (31.6%) of the 286 lesions (seen in 35 patients) were found to locate around lateral ventricles; 67 (23.4%) at centrum semiovale (seen in 29 patients); 59 (20.6%) in deep white matter (seen in 28 patients); 46 (16.1%) around corpus callosum (seen in 30 patients); 21 (7.3%) in brain stem, basal ganglia and cerebellar hemispheres (seen in 9 patients); and 3 (1.0%) at cervical spinal cord. In routine MRI images, the lesions showed up as low T1 signal, high T2 signal and high FLAIR signal with the shape of ovoid or round. No mass effect was observed in lesions. In the contrast-enhanced MRI images, the 25 observed lesions showed mild enhancements with the shape of ring, semi-ring and arc. ConclusionCertain characteristic features can be observed in MS MRI images. MRI is an effective diagnostic method for multiple sclerosis diagnosis.
ObjectiveThe diagnostic efficacy of circulating long non-coding RNA (lncRNA) for tuberculosis was evaluated by systematic review. MethodsData from PubMed, Web of Science, Cochrane Library, Embase, Chinese Medical Journals Full-Text Database(CMJFD), CNKI and WanFang Data were searched. Literatures on the diagnostic value of lncRNA in tuberculosis from the database establishment to August 20, 2024 were selected, and the quality of literatures was assessed using QUADAS-2 tool. Meta-Disc 1.0 software tested the threshold heterogeneity of the included studies. Stata18.0 software calculated sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, diagnostic odds ratio and other effect sizes, and performed subgroup analysis and meta regression to explore the source of heterogeneity. Deeks funnel plot evaluates publication bias. Results A total of 28 case-control studies were included in 14 literatures. The meta-results showed that the combined sensitivity was 0.88 (95%CI:0.81-0.93), the specificity was 0.90 (95%CI:0.84-0.94), and the PLR was 9.05 (95%CI:5.16-15.87). The NLR and DOR were 0.13 (95%CI:0.08-0.22) and 67.96 (95%CI:27.27-169.39), and the AUC were 0.95 (95%CI: 0.93-0.97). Subgroup analysis showed that lncRNA was more effective in the diagnosis of tuberculosis when PMBC samples, LncRNA expression was down-regulation, the study sample size was ≤100, there was cut-off value, GAPDH was used as the internal reference, and RNA extraction kit was used. meta regression indicated that lncRNA expression level and sample size were the main sources of heterogeneity. Conclusions lncRNA has high accuracy in the diagnosis of tuberculosis, and is expected to become a new biomarker to assist the diagnosis of tuberculosis.